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2024
[j202]
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Xiaoyu Li, Yongshun Gong, Wei Liu, Yilong Yin, Yu Zheng, Liqiang Nie:
Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization. Artif. Intell. 328: 104065 (2024)
[j201]
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Linmei Hu, Ziwang Zhao, Weijian Qi, Xuemeng Song, Liqiang Nie:
Multimodal matching-aware co-attention networks with mutual knowledge distillation for fake news detection. Inf. Sci. 664: 120310 (2024)
[j200]
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Xiaofeng Qu, Li Liu, Lei Zhu, Liqiang Nie, Huaxiang Zhang:
Source-free Style-diversity Adversarial Domain Adaptation with Privacy-preservation for person re-identification. Knowl. Based Syst. 283: 111150 (2024)
[j199]
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Haokun Wen, Xuemeng Song, Jianhua Yin, Jianlong Wu, Weili Guan, Liqiang Nie:
Self-Training Boosted Multi-Factor Matching Network for Composed Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3665-3678 (2024)
[j198]
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Mengzhao Jia, Yinwei Wei, Xuemeng Song, Teng Sun, Min Zhang, Liqiang Nie:
Query-Oriented Micro-Video Summarization. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4174-4187 (2024)
[j197]
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  - journals/pami/ZhangY0NYHT24
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Shengping Zhang, Wei Yu, Feng Jiang, Liqiang Nie, Hongxun Yao, Qingming Huang, Dacheng Tao:
Stereo Image Restoration via Attention-Guided Correspondence Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4850-4865 (2024)
[j196]
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  - journals/pami/ShaoWWNL24
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Rui Shao, Tianxing Wu, Jianlong Wu, Liqiang Nie, Ziwei Liu:
Detecting and Grounding Multi-Modal Media Manipulation and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5556-5574 (2024)
[j195]
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Yangyang Guo, Fangkai Jiao, Zhiqi Shen, Liqiang Nie, Mohan S. Kankanhalli:
UNK-VQA: A Dataset and a Probe Into the Abstention Ability of Multi-Modal Large Models. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10284-10296 (2024)
[j194]
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Zhicheng Sheng, Liqiang Nie, Min Zhang, Xiaojun Chang, Yan Yan:
Stochastic Latent Talking Face Generation Toward Emotional Expressions and Head Poses. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2734-2748 (2024)
[j193]
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Meng Liu, Di Zhou, Jie Guo, Xin Luo, Zan Gao, Liqiang Nie:
Semantic-Aware Contrastive Learning With Proposal Suppression for Video Semantic Role Grounding. IEEE Trans. Circuits Syst. Video Technol. 34(4): 3003-3016 (2024)
[j192]
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Min Cao, Yang Bai, Ziqiang Cao, Liqiang Nie, Min Zhang:
Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening. IEEE Trans. Circuits Syst. Video Technol. 34(6): 5132-5145 (2024)
[j191]
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Hui Liu, Gongguan Chen, Meng Liu, Liqiang Nie:
Pre-Trained Transformer-Based Parallel Multi-Channel Adaptive Image Sequence Interpolation Network. IEEE Trans. Circuits Syst. Video Technol. 34(10): 10464-10478 (2024)
[j190]
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  - journals/tgrs/LiuXXTHN24
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Yutong Liu, Mingzhu Xu, Tianxiang Xiao, Haoyu Tang, Yupeng Hu, Liqiang Nie:
Heterogeneous Feature Collaboration Network for Salient Object Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024)
[j189]
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  - journals/tip/ChenYHLNT24
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Tao Chen, Yazhou Yao, Xingguo Huang, Zechao Li, Liqiang Nie, Jinhui Tang:
Spatial Structure Constraints for Weakly Supervised Semantic Segmentation. IEEE Trans. Image Process. 33: 1136-1148 (2024)
[j188]
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Zheng Zhang, Xu Yuan, Lei Zhu, Jingkuan Song, Liqiang Nie:
BadCM: Invisible Backdoor Attack Against Cross-Modal Learning. IEEE Trans. Image Process. 33: 2558-2571 (2024)
[j187]
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  - journals/tkde/HuLZHNL24
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Linmei Hu, Zeyi Liu, Ziwang Zhao, Lei Hou, Liqiang Nie, Juanzi Li:
A Survey of Knowledge Enhanced Pre-Trained Language Models. IEEE Trans. Knowl. Data Eng. 36(4): 1413-1430 (2024)
[j186]
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Yinwei Wei, Xiaoyang Qu, Xiang Wang, Yunshan Ma, Liqiang Nie, Tat-Seng Chua:
Rule-Guided Counterfactual Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 36(5): 2179-2190 (2024)
[j185]
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  - journals/tkde/JingSNLS24
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Peiguang Jing, Haoyi Sun, Liqiang Nie, Yun Li, Yuting Su:
Deep Multi-Modal Hashing With Semantic Enhancement for Multi-Label Micro-Video Retrieval. IEEE Trans. Knowl. Data Eng. 36(10): 5080-5091 (2024)
[j184]
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  - journals/tkde/LuoZN24
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Haoyang Luo, Zheng Zhang, Liqiang Nie:
Contrastive Incomplete Cross-Modal Hashing. IEEE Trans. Knowl. Data Eng. 36(11): 5823-5834 (2024)
[j183]
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  - journals/tkde/WuZLZN24
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Qingpeng Wu, Zheng Zhang, Yishu Liu, Jingyi Zhang, Liqiang Nie:
Contrastive Multi-Bit Collaborative Learning for Deep Cross-Modal Hashing. IEEE Trans. Knowl. Data Eng. 36(11): 5835-5848 (2024)
[j182]
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  - journals/tmm/LiGWLNK24
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Zhenyang Li, Yangyang Guo, Kejie Wang, Fan Liu, Liqiang Nie, Mohan S. Kankanhalli:
Learning to Agree on Vision Attention for Visual Commonsense Reasoning. IEEE Trans. Multim. 26: 1065-1075 (2024)
[j181]
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  - journals/tmm/HuangGZZNY24
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Jin Huang, Yongshun Gong, Lu Zhang, Jian Zhang, Liqiang Nie, Yilong Yin:
Modeling Multiple Aesthetic Views for Series Photo Selection. IEEE Trans. Multim. 26: 1983-1995 (2024)
[j180]
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  - journals/tmm/FanSNJHL24
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Fugui Fan, Yuting Su, Liqiang Nie, Peiguang Jing, Daozheng Hong, Yu Liu:
Dual-Domain Aligned Deep Hierarchical Matrix Factorization Method for Micro-Video Multi-Label Classification. IEEE Trans. Multim. 26: 2598-2607 (2024)
[j179]
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  - journals/tmm/ChengGYCWN24
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Harry Cheng, Yangyang Guo, Jianhua Yin, Haonan Chen, Jiafang Wang, Liqiang Nie:
Audio-Driven Talking Video Frame Restoration. IEEE Trans. Multim. 26: 4110-4122 (2024)
[j178]
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  - journals/tmm/WangLLWN24
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Tianyi Wang, Zian Li, Ruixia Liu, Yinglong Wang, Liqiang Nie:
An Efficient Attribute-Preserving Framework for Face Swapping. IEEE Trans. Multim. 26: 6554-6565 (2024)
[j177]
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  - journals/tmm/QuZZNL24
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Xiaofeng Qu, Huaxiang Zhang, Lei Zhu, Liqiang Nie, Li Liu:
AAMT: Adversarial Attack-Driven Mutual Teaching for Source-Free Domain-Adaptive Person Reidentification. IEEE Trans. Multim. 26: 8255-8267 (2024)
[j176]
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  - journals/tmm/SunWNLSWN24
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Teng Sun, Yinwei Wei, Juntong Ni, Zixin Liu, Xuemeng Song, Yaowei Wang, Liqiang Nie:
Muti-Modal Emotion Recognition via Hierarchical Knowledge Distillation. IEEE Trans. Multim. 26: 9036-9046 (2024)
[j175]
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  - journals/tmm/FanJNGS24
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Fugui Fan, Peiguang Jing, Liqiang Nie, Haoyu Gu, Yuting Su:
SADCMF: Self-Attentive Deep Consistent Matrix Factorization for Micro-Video Multi-Label Classification. IEEE Trans. Multim. 26: 10331-10341 (2024)
[j174]
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  - journals/tmm/JiangYDSNS24
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Xiruo Jiang, Yazhou Yao, Xili Dai, Fumin Shen, Liqiang Nie, Heng Tao Shen:
Anti-Collapse Loss for Deep Metric Learning. IEEE Trans. Multim. 26: 11139-11150 (2024)
[j173]
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  - journals/tnn/DongSZWDN24
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Xue Dong, Xuemeng Song, Na Zheng, Jianlong Wu, Hongjun Dai, Liqiang Nie:
TryonCM2: Try-on-Enhanced Fashion Compatibility Modeling Framework. IEEE Trans. Neural Networks Learn. Syst. 35(1): 246-257 (2024)
[j172]
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  - journals/tnn/ZhaiLLGZN24
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Shuyan Zhai, Meng Liu, Yongqiang Li, Zan Gao, Lei Zhu, Liqiang Nie:
Talking Face Generation With Audio-Deduced Emotional Landmarks. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14099-14111 (2024)
[j171]
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  - journals/tois/JingSLZZN24
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Liqiang Jing, Xuemeng Song, Xuming Lin, Zhongzhou Zhao, Wei Zhou, Liqiang Nie:
Stylized Data-to-text Generation: A Case Study in the E-Commerce Domain. ACM Trans. Inf. Syst. 42(1): 25:1-25:24 (2024)
[j170]
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  - journals/tois/LiuWLWNC24
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Han Liu, Yinwei Wei, Fan Liu, Wenjie Wang, Liqiang Nie, Tat-Seng Chua:
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation. ACM Trans. Inf. Syst. 42(2): 47:1-47:26 (2024)
[j169]
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  - journals/tois/HuWLTN24
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Yupeng Hu, Kun Wang, Meng Liu, Haoyu Tang, Liqiang Nie:
Semantic Collaborative Learning for Cross-Modal Moment Localization. ACM Trans. Inf. Syst. 42(2): 50:1-50:26 (2024)
[j168]
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  - journals/tois/ChenSJLHN24
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Xiaolin Chen, Xuemeng Song, Liqiang Jing, Shuo Li, Linmei Hu, Liqiang Nie:
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model. ACM Trans. Inf. Syst. 42(2): 53:1-53:25 (2024)
[j167]
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  - journals/tomccap/ChengGWLCN24
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Harry Cheng, Yangyang Guo, Tianyi Wang, Qi Li, Xiaojun Chang, Liqiang Nie:
Voice-Face Homogeneity Tells Deepfake. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 76:1-76:22 (2024)
[j166]
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  - journals/tomccap/QuLZNZ24
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Xiaofeng Qu, Li Liu, Lei Zhu, Liqiang Nie, Huaxiang Zhang:
Instance-level Adversarial Source-free Domain Adaptive Person Re-identification. ACM Trans. Multim. Comput. Commun. Appl. 20(7): 197:1-197:22 (2024)
[j165]
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  - journals/tomccap/JiangYLSNH24
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Xiruo Jiang, Yazhou Yao, Sheng Liu, Fumin Shen, Liqiang Nie, Xian-Sheng Hua:
Dual Dynamic Threshold Adjustment Strategy. ACM Trans. Multim. Comput. Commun. Appl. 20(7): 224:1-224:18 (2024)
[j164]
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  - journals/tomccap/ZhangLSCGN24
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Panpan Zhang, Meng Liu, Xuemeng Song, Da Cao, Zan Gao, Liqiang Nie:
Universal Relocalizer for Weakly Supervised Referring Expression Grounding. ACM Trans. Multim. Comput. Commun. Appl. 20(7): 225:1-225:23 (2024)
[j163]
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  - journals/tomccap/ZhangLQYHNZ24
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Hao Zhang, Meng Liu, Yuan Qi, Ning Yang, Shunbo Hu, Liqiang Nie, Wenyin Zhang:
Efficient Brain Tumor Segmentation with Lightweight Separable Spatial Convolutional Network. ACM Trans. Multim. Comput. Commun. Appl. 20(7): 229:1-229:19 (2024)
[j162]
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  - journals/tomccap/WangLSN24
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Yuanyuan Wang, Meng Liu, Xuemeng Song, Liqiang Nie:
Harnessing Representative Spatial-Temporal Information for Video Question Answering. ACM Trans. Multim. Comput. Commun. Appl. 20(10): 306:1-306:20 (2024)
[j161]
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  - journals/tsmc/LiuYLSN24
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Hui Liu, Xiao Yu, Yuxiu Lin, Xuemeng Song, Liqiang Nie:
Similarity-Induced Weighted Consensus Laplacian Matrix Learning for Multiview Clustering. IEEE Trans. Syst. Man Cybern. Syst. 54(10): 6113-6126 (2024)
[c194]
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  - conf/aaai/HanHSTXN24
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Yudong Han, Yupeng Hu, Xuemeng Song, Haoyu Tang, Mingzhu Xu, Liqiang Nie:
Exploiting the Social-Like Prior in Transformer for Visual Reasoning. AAAI 2024: 2058-2066
[c193]
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  - conf/aaai/HuHWZSN24
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Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, Liqiang Nie:
LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. AAAI 2024: 18234-18242
[c192]
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  - conf/acl/ZhaoZZWLN24
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Jiaqi Zhao, Miao Zhang, Chao Zeng, Ming Wang, Xuebo Liu, Liqiang Nie:
LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models. ACL (1) 2024: 2240-2255
[c191]
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  - conf/acl/LiZWNLC24
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Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Distillation Enhanced Generative Retrieval. ACL (Findings) 2024: 11119-11129
[c190]
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Zhonghua Zheng, Lizi Liao, Yang Deng, Libo Qin, Liqiang Nie:
Self-chats from Large Language Models Make Small Emotional Support Chatbot Better. ACL (1) 2024: 11325-11345
[c189]
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Yongqi Li, Wenjie Wang, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond. ACL (1) 2024: 11851-11861
[c188]
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  - conf/cvpr/Hu00ZLZN24
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Liangxiao Hu, Hongwen Zhang, Yuxiang Zhang, Boyao Zhou, Boning Liu, Shengping Zhang, Liqiang Nie:
GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians. CVPR 2024: 634-644
[c187]
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Chenyang Wang, Zerong Zheng, Tao Yu, Xiaoqian Lv, Bineng Zhong, Shengping Zhang, Liqiang Nie:
DiffPerformer: Iterative Learning of Consistent Latent Guidance for Diffusion-Based Human Video Generation. CVPR 2024: 6169-6179
[c186]
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Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua:
Discriminative Probing and Tuning for Text-to-Image Generation. CVPR 2024: 7434-7444
[c185]
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Shunyuan Zheng, Boyao Zhou, Ruizhi Shao, Boning Liu, Shengping Zhang, Liqiang Nie, Yebin Liu:
GPS-Gaussian: Generalizable Pixel-Wise 3D Gaussian Splatting for Real-Time Human Novel View Synthesis. CVPR 2024: 19680-19690
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Xiaoqian Lv, Shengping Zhang, Chenyang Wang, Yichen Zheng, Bineng Zhong, Chongyi Li, Liqiang Nie:
Fourier Priors-Guided Diffusion for Zero-Shot Joint Low-Light Enhancement and Deblurring. CVPR 2024: 25378-25388
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Gongwei Chen, Leyang Shen, Rui Shao, Xiang Deng, Liqiang Nie:
LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge. CVPR 2024: 26530-26540
[c182]
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Zhonghua Zheng, Lizi Liao, Yang Deng, Ee-Peng Lim, Minlie Huang, Liqiang Nie:
Thoughts to Target: Enhance Planning for Target-driven Conversation. EMNLP 2024: 21108-21124
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Liqiang Jing, Xuemeng Song, Xinxing Zu, Na Zheng, Zhongzhou Zhao, Liqiang Nie:
VK-G2T: Vision and Context Knowledge Enhanced Gloss2text. ICASSP 2024: 7860-7864
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Minkuan Lu, Jianhua Yin, Kaijun Wang, Liqiang Nie:
A Multi-View Clustering Algorithm for Short Text. ICDE 2024: 5101-5110
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Haoyu Tang, Shuaike Zhang, Ming Yan, Ji Zhang, Mingzhu Xu, Yupeng Hu, Liqiang Nie:
Two-Stage Information Bottleneck For Temporal Language Grounding. ICME 2024: 1-6
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Cunxiao Du, Jing Jiang, Yuanchen Xu, Jiawei Wu, Sicheng Yu, Yongqi Li, Shenggui Li, Kai Xu, Liqiang Nie, Zhaopeng Tu, Yang You:
GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding. ICML 2024
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Qinglin Liu, Xiaoqian Lv, Quanling Meng, Zonglin Li, Xiangyuan Lan, Shuo Yang, Shengping Zhang, Liqiang Nie:
Revisiting Context Aggregation for Image Matting. ICML 2024
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Qi Lv, Hao Li, Xiang Deng, Rui Shao, Michael Y. Wang, Liqiang Nie:
RoboMP2: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models. ICML 2024
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Shuo Yang, Zhe Cao, Sheng Guo, Ruiheng Zhang, Ping Luo, Shengping Zhang, Liqiang Nie:
Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary. ICML 2024
[c174]
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Haoyu Zhang, Meng Liu, Zixin Liu, Xuemeng Song, Yaowei Wang, Liqiang Nie:
Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering. ICML 2024
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Jinqian Chen, Haoyu Tang, Junhao Cheng, Ming Yan, Ji Zhang, Mingzhu Xu, Yupeng Hu, Liqiang Nie:
Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation. IJCAI 2024: 3789-3797
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Linmei Hu, Duokang Wang, Yiming Pan, Jifan Yu, Yingxia Shao, Chong Feng, Liqiang Nie:
NovaChart: A Large-scale Dataset towards Chart Understanding and Generation of Multimodal Large Language Models. ACM Multimedia 2024: 3917-3925
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Xian Zhang, Haokun Wen, Jianlong Wu, Pengda Qin, Hui Xue', Liqiang Nie:
Differential-Perceptive and Retrieval-Augmented MLLM for Change Captioning. ACM Multimedia 2024: 4148-4157
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Han Jiang, Haoyu Tang, Ming Yan, Ji Zhang, Mingzhu Xu, Yupeng Hu, Jihua Zhu, Liqiang Nie:
Revisiting Unsupervised Temporal Action Localization: The Primacy of High-Quality Actionness and Pseudolabels. ACM Multimedia 2024: 5643-5652
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Harry Cheng, Yangyang Guo, Tianyi Wang, Liqiang Nie, Mohan S. Kankanhalli:
Diffusion Facial Forgery Detection. ACM Multimedia 2024: 5939-5948
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Kun Wang, Hao Liu, Lirong Jie, Zixu Li, Yupeng Hu, Liqiang Nie:
Explicit Granularity and Implicit Scale Correspondence Learning for Point-Supervised Video Moment Localization. ACM Multimedia 2024: 9214-9223
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Zhenyang Li, Fan Liu, Yinwei Wei, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Attribute-driven Disentangled Representation Learning for Multimodal Recommendation. ACM Multimedia 2024: 9660-9669
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  - conf/sigir/WenSCWNC24
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Haokun Wen, Xuemeng Song, Xiaolin Chen, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval. SIGIR 2024: 229-239
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Haoqiang Lin, Haokun Wen, Xuemeng Song, Meng Liu, Yupeng Hu, Liqiang Nie:
Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval. SIGIR 2024: 240-250
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Duokang Wang, Linmei Hu, Rui Hao, Yingxia Shao, Xin Lv, Liqiang Nie, Juanzi Li:
Let Me Show You Step by Step: An Interpretable Graph Routing Network for Knowledge-based Visual Question Answering. SIGIR 2024: 1984-1994
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  - journals/corr/abs-2401-06836
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Zaijing Li, Gongwei Chen, Rui Shao, Dongmei Jiang, Liqiang Nie:
Enhancing the Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought. CoRR abs/2401.06836 (2024)
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  - journals/corr/abs-2401-11122
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Tao Chen, Yazhou Yao, Xingguo Huang, Zechao Li, Liqiang Nie, Jinhui Tang:
Spatial Structure Constraints for Weakly Supervised Semantic Segmentation. CoRR abs/2401.11122 (2024)
[i139]
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  - journals/corr/abs-2401-15859
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Harry Cheng, Yangyang Guo, Tianyi Wang, Liqiang Nie, Mohan S. Kankanhalli:
Diffusion Facial Forgery Detection. CoRR abs/2401.15859 (2024)
[i138]
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  - journals/corr/abs-2402-02082
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Cunxiao Du, Jing Jiang, Yuanchen Xu, Jiawei Wu, Sicheng Yu, Yongqi Li, Shenggui Li, Kai Xu, Liqiang Nie, Zhaopeng Tu, Yang You:
GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding. CoRR abs/2402.02082 (2024)
[i137]
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  - journals/corr/abs-2402-03658
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Kun Ouyang, Liqiang Jing, Xuemeng Song, Meng Liu, Yupeng Hu, Liqiang Nie:
Sentiment-enhanced Graph-based Sarcasm Explanation in Dialogue. CoRR abs/2402.03658 (2024)
[i136]
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  - journals/corr/abs-2402-10769
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Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Distillation Enhanced Generative Retrieval. CoRR abs/2402.10769 (2024)
[i135]
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  - journals/corr/abs-2402-10805
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Yongqi Li, Wenjie Wang, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond. CoRR abs/2402.10805 (2024)
[i134]
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  - journals/corr/abs-2402-11627
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Federico Becattini, Xiaolin Chen, Andrea Puccia, Haokun Wen, Xuemeng Song, Liqiang Nie, Alberto Del Bimbo:
Interactive Garment Recommendation with User in the Loop. CoRR abs/2402.11627 (2024)
[i133]
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  - journals/corr/abs-2402-12065
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Yuxuan Yue, Zhihang Yuan, Haojie Duanmu, Sifan Zhou, Jianlong Wu, Liqiang Nie:
WKVQuant: Quantizing Weight and Key/Value Cache for Large Language Models Gains More. CoRR abs/2402.12065 (2024)
[i132]
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  - journals/corr/abs-2403-04321
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Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua:
Discriminative Probing and Tuning for Text-to-Image Generation. CoRR abs/2403.04321 (2024)
[i131]
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  - journals/corr/abs-2403-07581
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Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, Liqiang Nie:
LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. CoRR abs/2403.07581 (2024)
[i130]
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  - journals/corr/abs-2404-04929
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Qi Lv, Hao Li, Xiang Deng, Rui Shao, Michael Yu Wang, Liqiang Nie:
RoboMP²: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models. CoRR abs/2404.04929 (2024)
[i129]
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  - journals/corr/abs-2404-10321
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Fan Liu, Shuai Zhao, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Cluster-based Graph Collaborative Filtering. CoRR abs/2404.10321 (2024)
[i128]
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  - journals/corr/abs-2404-12152
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Zunran Wang, Zhonghua Li, Wei Shen, Qi Ye, Liqiang Nie:
FecTek: Enhancing Term Weight in Lexicon-Based Retrieval with Feature Context and Term-level Knowledge. CoRR abs/2404.12152 (2024)
[i127]
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  - journals/corr/abs-2404-13505
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Gensheng Pei, Yazhou Yao, Jianbo Jiao, Wenguan Wang, Liqiang Nie, Jinhui Tang:
Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object Segmentation. CoRR abs/2404.13505 (2024)
[i126]
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  - journals/corr/abs-2404-15875
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Haokun Wen, Xuemeng Song, Xiaolin Chen, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval. CoRR abs/2404.15875 (2024)
[i125]
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  - journals/corr/abs-2404-16555
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Han Liu, Yinwei Wei, Xuemeng Song, Weili Guan, Yuan-Fang Li, Liqiang Nie:
MMGRec: Multimodal Generative Recommendation with Transformer Model. CoRR abs/2404.16555 (2024)
[i124]
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  - journals/corr/abs-2404-16924
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Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
A Survey of Generative Search and Recommendation in the Era of Large Language Models. CoRR abs/2404.16924 (2024)
[i123]
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  - journals/corr/abs-2404-19282
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Xiruo Jiang, Yazhou Yao, Sheng Liu, Fumin Shen, Liqiang Nie, Xiansheng Hua:
Dual Dynamic Threshold Adjustment Strategy for Deep Metric Learning. CoRR abs/2404.19282 (2024)
[i122]
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  - journals/corr/abs-2405-16934
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Zhenyang Li, Yangyang Guo, Kejie Wang, Xiaolin Chen, Liqiang Nie, Mohan S. Kankanhalli:
Do Vision-Language Transformers Exhibit Visual Commonsense? An Empirical Study of VCR. CoRR abs/2405.16934 (2024)
[i121]
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  - journals/corr/abs-2406-05223
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Yibo Yang, Xiaojie Li, Zhongzhu Zhou, Shuaiwen Leon Song, Jianlong Wu, Liqiang Nie, Bernard Ghanem:
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models. CoRR abs/2406.05223 (2024)
[i120]
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  - journals/corr/abs-2406-05427
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Qi Lv, Xiang Deng, Gongwei Chen, Michael Yu Wang, Liqiang Nie:
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL. CoRR abs/2406.05427 (2024)
[i119]
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  - journals/corr/abs-2406-05814
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Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua:
Unified Text-to-Image Generation and Retrieval. CoRR abs/2406.05814 (2024)
[i118]
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  - journals/corr/abs-2406-11191
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Ruili Jiang, Kehai Chen, Xuefeng Bai, Zhixuan He, Juntao Li, Muyun Yang, Tiejun Zhao, Liqiang Nie, Min Zhang:
A Survey on Human Preference Learning for Large Language Models. CoRR abs/2406.11191 (2024)
[i117]
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  - journals/corr/abs-2406-15771
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Haoyu Zhang, Yuquan Xie, Yisen Feng, Zaijing Li, Meng Liu, Liqiang Nie:
HCQA @ Ego4D EgoSchema Challenge 2024. CoRR abs/2406.15771 (2024)
[i116]
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  - journals/corr/abs-2406-15778
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Yisen Feng, Haoyu Zhang, Yuquan Xie, Zaijing Li, Meng Liu, Liqiang Nie:
ObjectNLQ @ Ego4D Episodic Memory Challenge 2024. CoRR abs/2406.15778 (2024)
[i115]
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  - journals/corr/abs-2406-19827
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Wenliang Zhong, Haoyu Tang, Qinghai Zheng, Mingzhu Xu, Yupeng Hu, Liqiang Nie:
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory. CoRR abs/2406.19827 (2024)
[i114]
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  - journals/corr/abs-2407-06136
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Xiaojie Li, Yibo Yang, Jianlong Wu, Bernard Ghanem, Liqiang Nie, Min Zhang:
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning. CoRR abs/2407.06136 (2024)
[i113]
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Leyang Shen, Gongwei Chen, Rui Shao, Weili Guan, Liqiang Nie:
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models. CoRR abs/2407.12709 (2024)
[i112]
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  - journals/corr/abs-2407-14439
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Renshan Zhang, Yibo Lyu, Rui Shao, Gongwei Chen, Weili Guan, Liqiang Nie:
Token-level Correlation-guided Compression for Efficient Multimodal Document Understanding. CoRR abs/2407.14439 (2024)
[i111]
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  - journals/corr/abs-2407-17274
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Yongqi Li, Hongru Cai, Wenjie Wang, Leigang Qu, Yinwei Wei, Wenjie Li, Liqiang Nie, Tat-Seng Chua:
Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation. CoRR abs/2407.17274 (2024)
[i110]
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Letian Shi, Qi Lv, Xiang Deng, Liqiang Nie:
EPD: Long-term Memory Extraction, Context-awared Planning and Multi-iteration Decision @ EgoPlan Challenge ICML 2024. CoRR abs/2407.19510 (2024)
[i109]
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  - journals/corr/abs-2408-03615
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Zaijing Li, Yuquan Xie, Rui Shao, Gongwei Chen, Dongmei Jiang, Liqiang Nie:
Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks. CoRR abs/2408.03615 (2024)
[i108]
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  - journals/corr/abs-2408-06569
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Harry Cheng, Yangyang Guo, Qingpei Guo, Ming Yang, Tian Gan, Liqiang Nie:
Social Debiasing for Fair Multi-modal LLMs. CoRR abs/2408.06569 (2024)
[i107]
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  - journals/corr/abs-2408-10286
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Xiao Han, Zijian Zhang, Xiangyu Zhao, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye:
GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching. CoRR abs/2408.10286 (2024)
[i106]
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  - journals/corr/abs-2409-01605
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Xinyu Zhang, Linmei Hu, Luhao Zhang, Dandan Song, Heyan Huang, Liqiang Nie:
Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation with Collaborative Information. CoRR abs/2409.01605 (2024)
[i105]
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Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie:
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture. CoRR abs/2409.03550 (2024)
[i104]
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  - journals/corr/abs-2409-19345
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Jiarui Jiang, Wei Huang, Miao Zhang, Taiji Suzuki, Liqiang Nie:
Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization. CoRR abs/2409.19345 (2024)
[i103]
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  - journals/corr/abs-2409-19532
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Xiao Wang, Jianlong Wu, Zijia Lin, Fuzheng Zhang, Di Zhang, Liqiang Nie:
Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding. CoRR abs/2409.19532 (2024)
[i102]
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  - journals/corr/abs-2410-02182
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Zheng Zhang, Xu Yuan, Lei Zhu, Jingkuan Song, Liqiang Nie:
BadCM: Invisible Backdoor Attack Against Cross-Modal Learning. CoRR abs/2410.02182 (2024)
[i101]
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  - journals/corr/abs-2410-10496
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Kejie Wang, Xuemeng Song, Meng Liu, Weili Guan, Liqiang Nie:
Vision-guided and Mask-enhanced Adaptive Denoising for Prompt-based Image Editing. CoRR abs/2410.10496 (2024)
[i100]
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  - journals/corr/abs-2410-14143
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Muhe Ding, Jianlong Wu, Xue Dong, Xiaojie Li, Pengda Qin, Tian Gan, Liqiang Nie:
Preview-based Category Contrastive Learning for Knowledge Distillation. CoRR abs/2410.14143 (2024)
[i99]
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  - journals/corr/abs-2410-14154
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Muhe Ding, Yang Ma, Pengda Qin, Jianlong Wu, Yuhong Li, Liqiang Nie:
RA-BLIP: Multimodal Adaptive Retrieval-Augmented Bootstrapping Language-Image Pre-training. CoRR abs/2410.14154 (2024)
[i98]
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  - journals/corr/abs-2410-15164
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Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao:
SPA-Bench: A Comprehensive Benchmark for SmartPhone Agent Evaluation. CoRR abs/2410.15164 (2024)
2023
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Meng Liu, Liqiang Nie, Yunxiao Wang, Meng Wang, Yong Rui:
A Survey on Video Moment Localization. ACM Comput. Surv. 55(9): 188:1-188:37 (2023)
[j159]
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Shengping Zhang, Chenyang Wang, Liqiang Nie, Hongxun Yao, Qingming Huang, Qi Tian:
Learning Enriched Hop-Aware Correlation for Robust 3D Human Pose Estimation. Int. J. Comput. Vis. 131(6): 1566-1583 (2023)
[j158]
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Shengping Zhang, Xianzhu Liu, Haozhe Xie, Liqiang Nie, Huiyu Zhou, Dacheng Tao, Xuelong Li:
Learning Geometric Transformation for Point Cloud Completion. Int. J. Comput. Vis. 131(9): 2425-2445 (2023)
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Shengping Zhang, Chenyang Wang, Liqiang Nie, Hongxun Yao, Qingming Huang, Qi Tian:
Correction to: Learning Enriched Hop-Aware Correlation for Robust 3D Human Pose Estimation. Int. J. Comput. Vis. 131(11): 3119 (2023)
[j156]
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Xuemeng Song, Liqiang Nie, Hengtao Shen, Qi Tian, Hua Huang:
Preface to the Special Issue on Multimodal Learning Integrated with Pre-training Techniques. Int. J. Softw. Informatics 13(2): 139-142 (2023)
[j155]
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Haoyu Zhang, Meng Liu, Yuhong Li, Ming Yan, Zan Gao, Xiaojun Chang, Liqiang Nie:
Attribute-Guided Collaborative Learning for Partial Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14144-14160 (2023)
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Benhui Wang, Huaxiang Zhang, Lei Zhu, Liqiang Nie, Li Liu:
Multi-level adversarial attention cross-modal hashing. Signal Process. Image Commun. 117: 117017 (2023)
[j153]
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Fangkai Jiao, Yangyang Guo, Minlie Huang, Liqiang Nie:
Enhanced Multi-Domain Dialogue State Tracker With Second-Order Slot Interactions. IEEE ACM Trans. Audio Speech Lang. Process. 31: 265-276 (2023)
[j152]
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Liqiang Nie, Jianlong Wu, Nicu Sebe, Kiyoharu Aizawa:
Guest Editorial Introduction to the Special Issue on Video Transformers. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4448-4451 (2023)
[j151]
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Yuanyuan Wang, Meng Liu, Jianlong Wu, Liqiang Nie:
Multi-Granularity Interaction and Integration Network for Video Question Answering. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7684-7695 (2023)
[j150]
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Xiangyu Zeng, Mingzhu Xu, Yijun Hu, Haoyu Tang, Yupeng Hu, Liqiang Nie:
Adaptive Edge-Aware Semantic Interaction Network for Salient Object Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023)
[j149]
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Jianlong Wu, Wei Sun, Tian Gan, Ning Ding, Feijun Jiang, Jialie Shen, Liqiang Nie:
Neighbor-Guided Consistent and Contrastive Learning for Semi-Supervised Action Recognition. IEEE Trans. Image Process. 32: 2215-2227 (2023)
[j148]
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Zhenyang Li, Yangyang Guo, Kejie Wang, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli:
Joint Answering and Explanation for Visual Commonsense Reasoning. IEEE Trans. Image Process. 32: 3836-3846 (2023)
[j147]
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Yudong Han, Jianhua Yin, Jianlong Wu, Yinwei Wei, Liqiang Nie:
Semantic-Aware Modular Capsule Routing for Visual Question Answering. IEEE Trans. Image Process. 32: 5537-5549 (2023)
[j146]
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Zhicheng Sheng, Liqiang Nie, Meng Liu, Yinwei Wei, Zan Gao:
Toward Fine-Grained Talking Face Generation. IEEE Trans. Image Process. 32: 5794-5807 (2023)
[j145]
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Ronghui Xu, Weiming Huang, Jun Zhao, Meng Chen, Liqiang Nie:
A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs. ACM Trans. Intell. Syst. Technol. 14(6): 114:1-114:25 (2023)
[j144]
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Han Liu, Yinwei Wei, Jianhua Yin, Liqiang Nie:
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation. IEEE Trans. Knowl. Data Eng. 35(6): 5977-5990 (2023)
[j143]
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Junxiang Bing, Meng Chen, Min Yang, Weiming Huang, Yongshun Gong, Liqiang Nie:
Pre-Trained Semantic Embeddings for POI Categories Based on Multiple Contexts. IEEE Trans. Knowl. Data Eng. 35(9): 8893-8904 (2023)
[j142]
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Xuemeng Song, Chun Wang, Changchang Sun, Shanshan Feng, Min Zhou, Liqiang Nie:
MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 10072-10084 (2023)
[j141]
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Jingyong Su, Junyao Ye, Liqiang Nie, Yilong Cao, Yongyong Chen:
Optimizing Spaced Repetition Schedule by Capturing the Dynamics of Memory. IEEE Trans. Knowl. Data Eng. 35(10): 10085-10097 (2023)
[j140]
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Linmei Hu, Ziwei Chen, Ziwang Zhao, Jianhua Yin, Liqiang Nie:
Causal Inference for Leveraging Image-Text Matching Bias in Multi-Modal Fake News Detection. IEEE Trans. Knowl. Data Eng. 35(11): 11141-11152 (2023)
[j139]
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Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua:
Causal Inference for Knowledge Graph Based Recommendation. IEEE Trans. Knowl. Data Eng. 35(11): 11153-11164 (2023)
[j138]
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Teng Sun, Liqiang Jing, Yinwei Wei, Xuemeng Song, Zhiyong Cheng, Liqiang Nie:
Dual Consistency-Enhanced Semi-Supervised Sentiment Analysis Towards COVID-19 Tweets. IEEE Trans. Knowl. Data Eng. 35(12): 12605-12617 (2023)
[j137]
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Wei Lu, Desheng Li, Liqiang Nie, Peiguang Jing, Yuting Su:
Learning Dual Low-Rank Representation for Multi-Label Micro-Video Classification. IEEE Trans. Multim. 25: 77-89 (2023)
[j136]
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Xuemeng Song, Shi-Ting Fang, Xiaolin Chen, Yinwei Wei, Zhongzhou Zhao, Liqiang Nie:
Modality-Oriented Graph Learning Toward Outfit Compatibility Modeling. IEEE Trans. Multim. 25: 856-867 (2023)
[j135]
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Qifan Wang, Yinwei Wei, Jianhua Yin, Jianlong Wu, Xuemeng Song, Liqiang Nie:
DualGNN: Dual Graph Neural Network for Multimedia Recommendation. IEEE Trans. Multim. 25: 1074-1084 (2023)
[j134]
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Yuting Su, Wei Zhao, Peiguang Jing, Liqiang Nie:
Exploiting Low-Rank Latent Gaussian Graphical Model Estimation for Visual Sentiment Distributions. IEEE Trans. Multim. 25: 1243-1255 (2023)
[j133]
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Shaokun Wang, Tian Gan, Yuan Liu, Jianlong Wu, Yuan Cheng, Liqiang Nie:
Micro-Influencer Recommendation by Multi-Perspective Account Representation Learning. IEEE Trans. Multim. 25: 2749-2760 (2023)
[j132]
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Yaxin Liu, Jianlong Wu, Leigang Qu, Tian Gan, Jianhua Yin, Liqiang Nie:
Self-Supervised Correlation Learning for Cross-Modal Retrieval. IEEE Trans. Multim. 25: 2851-2863 (2023)
[j131]
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Yunxiao Wang, Meng Liu, Yinwei Wei, Zhiyong Cheng, Yinglong Wang, Liqiang Nie:
Siamese Alignment Network for Weakly Supervised Video Moment Retrieval. IEEE Trans. Multim. 25: 3921-3933 (2023)
[j130]
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Xianjing Han, Xuemeng Song, Xingning Dong, Yinwei Wei, Meng Liu, Liqiang Nie:
DBiased-P: Dual-Biased Predicate Predictor for Unbiased Scene Graph Generation. IEEE Trans. Multim. 25: 5319-5329 (2023)
[j129]
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Fan Liu, Huilin Chen, Zhiyong Cheng, Anan Liu, Liqiang Nie, Mohan S. Kankanhalli:
Disentangled Multimodal Representation Learning for Recommendation. IEEE Trans. Multim. 25: 7149-7159 (2023)
[j128]
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Peiguang Jing, Kai Cui, Weili Guan, Liqiang Nie, Yuting Su:
Category-Aware Multimodal Attention Network for Fashion Compatibility Modeling. IEEE Trans. Multim. 25: 9120-9131 (2023)
[j127]
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Han Liu, Yangyang Guo, Jianhua Yin, Zan Gao, Liqiang Nie:
Review Polarity-Wise Recommender. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10039-10050 (2023)
[j126]
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Ronghui Xu, Meng Chen, Yongshun Gong, Yang Liu, Xiaohui Yu, Liqiang Nie:
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation. ACM Trans. Inf. Syst. 41(4): 112:1-112:24 (2023)
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Na Zheng, Xuemeng Song, Tianyu Su, Weifeng Liu, Yan Yan, Liqiang Nie:
Egocentric Early Action Prediction via Adversarial Knowledge Distillation. ACM Trans. Multim. Comput. Commun. Appl. 19(2): 59:1-59:21 (2023)
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Yangyang Guo, Liqiang Nie, Harry Cheng, Zhiyong Cheng, Mohan S. Kankanhalli, Alberto Del Bimbo:
On Modality Bias Recognition and Reduction. ACM Trans. Multim. Comput. Commun. Appl. 19(3): 103:1-103:22 (2023)
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Hui Liu, Shanshan Li, Jicheng Zhu, Kai Deng, Meng Liu, Liqiang Nie:
DDIFN: A Dual-discriminator Multi-modal Medical Image Fusion Network. ACM Trans. Multim. Comput. Commun. Appl. 19(4): 145:1-145:17 (2023)
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Yang Qiao, Liqiang Jing, Xuemeng Song, Xiaolin Chen, Lei Zhu, Liqiang Nie:
Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection. AAAI 2023: 9507-9515
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Ziwei Chen, Linmei Hu, Weixin Li, Yingxia Shao, Liqiang Nie:
Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection. ACL (1) 2023: 627-638
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Haozhe Yang, Xianqiang Gao, Jianlong Wu, Tian Gan, Ning Ding, Feijun Jiang, Liqiang Nie:
Self-adaptive Context and Modal-interaction Modeling For Multimodal Emotion Recognition. ACL (Findings) 2023: 6267-6281
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Liqiang Jing, Xuemeng Song, Kun Ouyang, Mengzhao Jia, Liqiang Nie:
Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation. ACL (1) 2023: 11349-11361
[c159]
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  - conf/cvpr/GanWDRNG23
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Tian Gan, Qing Wang, Xingning Dong, Xiangyuan Ren, Liqiang Nie, Qingpei Guo:
CNVid-3.5M: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text Dataset. CVPR 2023: 14815-14824
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Jianlong Wu, Haozhe Yang, Tian Gan, Ning Ding, Feijun Jiang, Liqiang Nie:
CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning. CVPR 2023: 15762-15772
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Mengxia Wu, Min Cao, Yang Bai, Ziyin Zeng, Chen Chen, Liqiang Nie, Min Zhang:
An Empirical Study of Frame Selection for Text-to-Video Retrieval. EMNLP (Findings) 2023: 6821-6832
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  - conf/emnlp/ChaiYTWNF023
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Heyan Chai, Ziyi Yao, Siyu Tang, Ye Wang, Liqiang Nie, Binxing Fang, Qing Liao:
Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis. EMNLP (Findings) 2023: 10902-10913
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Yangyang Guo, Zhiyong Cheng, Jiazheng Jing, Yanpeng Lin, Liqiang Nie, Meng Wang:
Enhancing Factorization Machines with Generalized Metric Learning (Extended Abstract). ICDE 2023: 3755-3756
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Bin Wu, Xiangnan He, Yu Chen, Liqiang Nie, Kai Zheng, Yangdong Ye:
Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract). ICDE 2023: 3837-3838
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Shengping Zhang, Quanling Meng, Qinglin Liu, Liqiang Nie, Bineng Zhong, Xiaopeng Fan, Rongrong Ji:
Interactive Object Placement with Reinforcement Learning. ICML 2023: 41510-41522
[c152]
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Yang Bai, Min Cao, Daming Gao, Ziqiang Cao, Chen Chen, Zhenfeng Fan, Liqiang Nie, Min Zhang:
RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search. IJCAI 2023: 555-563
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Xiao Wang, Yaoyu Li, Tian Gan, Zheng Zhang, Jingjing Lv, Liqiang Nie:
RTQ: Rethinking Video-language Understanding Based on Image-text Model. ACM Multimedia 2023: 557-566
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Leigang Qu, Shengqiong Wu, Hao Fei, Liqiang Nie, Tat-Seng Chua:
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation. ACM Multimedia 2023: 643-654
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Yang Bai, Jingyao Wang, Min Cao, Chen Chen, Ziqiang Cao, Liqiang Nie, Min Zhang:
Text-based Person Search without Parallel Image-Text Data. ACM Multimedia 2023: 757-767
[c148]
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Peiguang Jing, Xianyi Liu, Ji Wang, Yinwei Wei, Liqiang Nie, Yuting Su:
StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning. ACM Multimedia 2023: 853-861
[c147]
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Haokun Wen, Xian Zhang, Xuemeng Song, Yinwei Wei, Liqiang Nie:
Target-Guided Composed Image Retrieval. ACM Multimedia 2023: 915-923
[c146]
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  - conf/mm/LiHWYNZ23
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Xiaojie Li, Shaowei He, Jianlong Wu, Yue Yu, Liqiang Nie, Min Zhang:
Mask Again: Masked Knowledge Distillation for Masked Video Modeling. ACM Multimedia 2023: 2221-2232
[c145]
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  - conf/mm/LiWHKYNZ23
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Xiaojie Li, Jianlong Wu, Shaowei He, Shuo Kang, Yue Yu, Liqiang Nie, Min Zhang:
Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning. ACM Multimedia 2023: 2264-2274
[c144]
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Meng Liu, Fenglei Zhang, Xin Luo, Fan Liu, Yinwei Wei, Liqiang Nie:
Advancing Video Question Answering with a Multi-modal and Multi-layer Question Enhancement Network. ACM Multimedia 2023: 3985-3993
[c143]
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Tian Gan, Xiao Wang, Yan Sun, Jianlong Wu, Qingpei Guo, Liqiang Nie:
Temporal Sentence Grounding in Streaming Videos. ACM Multimedia 2023: 4637-4646
[c142]
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Zhenyang Li, Yangyang Guo, Kejie Wang, Xiaolin Chen, Liqiang Nie, Mohan S. Kankanhalli:
Do Vision-Language Transformers Exhibit Visual Commonsense? An Empirical Study of VCR. ACM Multimedia 2023: 5634-5644
[c141]
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  - conf/mm/SunN0JWN23
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Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei, Liqiang Nie:
General Debiasing for Multimodal Sentiment Analysis. ACM Multimedia 2023: 5861-5869
[c140]
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Yunxiao Wang, Meng Liu, Zhe Li, Yupeng Hu, Xin Luo, Liqiang Nie:
Unlocking the Power of Multimodal Learning for Emotion Recognition in Conversation. ACM Multimedia 2023: 5947-5955
[c139]
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Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Semantic-Guided Feature Distillation for Multimodal Recommendation. ACM Multimedia 2023: 6567-6575
[c138]
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Harry Cheng, Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Mohan S. Kankanhalli:
Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration. ACM Multimedia 2023: 7101-7110
[c137]
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Meng Liu, Yongqiang Li, Shuyan Zhai, Weili Guan, Liqiang Nie:
Towards Realistic Conversational Head Generation: A Comprehensive Framework for Lifelike Video Synthesis. ACM Multimedia 2023: 9441-9445
[c136]
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  - conf/sigir/LinJSLSN23
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Dengtian Lin, Liqiang Jing, Xuemeng Song, Meng Liu, Teng Sun, Liqiang Nie:
Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization. SIGIR 2023: 195-204
[c135]
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Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua:
Strategy-aware Bundle Recommender System. SIGIR 2023: 1198-1207
[c134]
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  - conf/sigir/Qu0WZNC23
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Leigang Qu, Meng Liu, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua:
Learnable Pillar-based Re-ranking for Image-Text Retrieval. SIGIR 2023: 1252-1261
[c133]
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Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua:
LightGT: A Light Graph Transformer for Multimedia Recommendation. SIGIR 2023: 1508-1517
[c132]
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Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Dual Semantic Knowledge Composed Multimodal Dialog Systems. SIGIR 2023: 1518-1527
[c131]
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Dengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie:
OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification. SIGIR 2023: 3410-3414
[c130]
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  - conf/wsdm/DuW0L0N23
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Yali Du, Yinwei Wei, Wei Ji, Fan Liu, Xin Luo, Liqiang Nie:
Multi-queue Momentum Contrast for Microvideo-Product Retrieval. WSDM 2023: 1003-1011
[i97]
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  - journals/corr/abs-2301-05430
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Han Liu, Yinwei Wei, Jianhua Yin, Liqiang Nie:
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation. CoRR abs/2301.05430 (2023)
[i96]
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  - journals/corr/abs-2302-02117
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Zhenyang Li, Yangyang Guo, Kejie Wang, Fan Liu, Liqiang Nie, Mohan S. Kankanhalli:
Learning to Agree on Vision Attention for Visual Commonsense Reasoning. CoRR abs/2302.02117 (2023)
[i95]
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  - journals/corr/abs-2303-07740
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Min Cao, Yang Bai, Jingyao Wang, Ziqiang Cao, Liqiang Nie, Min Zhang:
Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening. CoRR abs/2303.07740 (2023)
[i94]
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  - journals/corr/abs-2303-08318
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Xiao Wang, Tian Gan, Yinwei Wei, Jianlong Wu, Dai Meng, Liqiang Nie:
Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation. CoRR abs/2303.08318 (2023)
[i93]
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  - journals/corr/abs-2303-17117
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Chengliang Liu, Jie Wen, Yong Xu, Liqiang Nie, Min Zhang:
Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification. CoRR abs/2303.17117 (2023)
[i92]
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  - journals/corr/abs-2304-01171
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Qinglin Liu, Shengping Zhang, Quanling Meng, Ru Li, Bineng Zhong, Liqiang Nie:
Rethinking Context Aggregation in Natural Image Matting. CoRR abs/2304.01171 (2023)
[i91]
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  - journals/corr/abs-2304-12570
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Leigang Qu, Meng Liu, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua:
Learnable Pillar-based Re-ranking for Image-Text Retrieval. CoRR abs/2304.12570 (2023)
[i90]
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  - journals/corr/abs-2304-12608
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Dengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie:
OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification. CoRR abs/2304.12608 (2023)
[i89]
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  - journals/corr/abs-2304-12998
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Rui Hao, Linmei Hu, Weijian Qi, Qingliu Wu, Yirui Zhang, Liqiang Nie:
ChatLLM Network: More brains, More intelligence. CoRR abs/2304.12998 (2023)
[i88]
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  - journals/corr/abs-2305-03256
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Liqiang Jing, Xuemeng Song, Xuming Lin, Zhongzhou Zhao, Wei Zhou, Liqiang Nie:
Stylized Data-to-Text Generation: A Case Study in the E-Commerce Domain. CoRR abs/2305.03256 (2023)
[i87]
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  - journals/corr/abs-2305-09979
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Haokun Wen, Xuemeng Song, Jianhua Yin, Jianlong Wu, Weili Guan, Liqiang Nie:
Self-Training Boosted Multi-Faceted Matching Network for Composed Image Retrieval. CoRR abs/2305.09979 (2023)
[i86]
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  - journals/corr/abs-2305-09990
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Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Dual Semantic Knowledge Composed Multimodal Dialog Systems. CoRR abs/2305.09990 (2023)
[i85]
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  - journals/corr/abs-2305-12964
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Yang Bai, Jingyao Wang, Min Cao, Chen Chen, Ziqiang Cao, Liqiang Nie, Min Zhang:
Text-based Person Search without Parallel Image-Text Data. CoRR abs/2305.12964 (2023)
[i84]
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  - journals/corr/abs-2305-13653
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Yang Bai, Min Cao, Daming Gao, Ziqiang Cao, Chen Chen, Zhenfeng Fan, Liqiang Nie, Min Zhang:
RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search. CoRR abs/2305.13653 (2023)
[i83]
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Rui Shao, Tianxing Wu, Liqiang Nie, Ziwei Liu:
DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection. CoRR abs/2306.00863 (2023)
[i82]
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Meng Liu, Liqiang Nie, Yunxiao Wang, Meng Wang, Yong Rui:
A Survey on Video Moment Localization. CoRR abs/2306.07515 (2023)
[i81]
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  - journals/corr/abs-2306-16650
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Liqiang Jing, Xuemeng Song, Kun Ouyang, Mengzhao Jia, Liqiang Nie:
Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation. CoRR abs/2306.16650 (2023)
[i80]
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  - journals/corr/abs-2307-10511
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Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei, Liqiang Nie:
General Debiasing for Multimodal Sentiment Analysis. CoRR abs/2307.10511 (2023)
[i79]
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  - journals/corr/abs-2307-12534
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Harry Cheng, Yangyang Guo, Tianyi Wang, Liqiang Nie, Mohan S. Kankanhalli:
Towards Generalizable Deepfake Detection by Primary Region Regularization. CoRR abs/2307.12534 (2023)
[i78]
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  - journals/corr/abs-2307-14866
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Harry Cheng, Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Mohan S. Kankanhalli:
Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration. CoRR abs/2307.14866 (2023)
[i77]
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  - journals/corr/abs-2308-03000
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Peiguang Jing, Xianyi Liu, Ji Wang, Yinwei Wei, Liqiang Nie, Yuting Su:
StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning. CoRR abs/2308.03000 (2023)
[i76]
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  - journals/corr/abs-2308-03113
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Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Semantic-Guided Feature Distillation for Multimodal Recommendation. CoRR abs/2308.03113 (2023)
[i75]
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  - journals/corr/abs-2308-05095
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Leigang Qu, Shengqiong Wu, Hao Fei, Liqiang Nie, Tat-Seng Chua:
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation. CoRR abs/2308.05095 (2023)
[i74]
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  - journals/corr/abs-2308-07102
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Tian Gan, Xiao Wang, Yan Sun, Jianlong Wu, Qingpei Guo, Liqiang Nie:
Temporal Sentence Grounding in Streaming Videos. CoRR abs/2308.07102 (2023)
[i73]
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  - journals/corr/abs-2308-11584
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Zhonghua Zheng, Lizi Liao, Yang Deng, Liqiang Nie:
Building Emotional Support Chatbots in the Era of LLMs. CoRR abs/2308.11584 (2023)
[i72]
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  - journals/corr/abs-2309-01366
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Haokun Wen, Xian Zhang, Xuemeng Song, Yinwei Wei, Liqiang Nie:
Target-Guided Composed Image Retrieval. CoRR abs/2309.01366 (2023)
[i71]
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  - journals/corr/abs-2309-14203
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Rui Shao, Tianxing Wu, Jianlong Wu, Liqiang Nie, Ziwei Liu:
Detecting and Grounding Multi-Modal Media Manipulation and Beyond. CoRR abs/2309.14203 (2023)
[i70]
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  - journals/corr/abs-2309-16738
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Yangyang Guo, Haoyu Zhang, Liqiang Nie, Yongkang Wong, Mohan S. Kankanhalli:
ELIP: Efficient Language-Image Pre-training with Fewer Vision Tokens. CoRR abs/2309.16738 (2023)
[i69]
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  - journals/corr/abs-2310-07259
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Haoyu Zhang, Meng Liu, Yaowei Wang, Da Cao, Weili Guan, Liqiang Nie:
Uncovering Hidden Connections: Iterative Tracking and Reasoning for Video-grounded Dialog. CoRR abs/2310.07259 (2023)
[i68]
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  - journals/corr/abs-2310-10942
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Yanyang Guo, Fangkai Jiao, Zhiqi Shen, Liqiang Nie, Mohan S. Kankanhalli:
UNK-VQA: A Dataset and A Probe into Multi-modal Large Models' Abstention Ability. CoRR abs/2310.10942 (2023)
[i67]
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  - journals/corr/abs-2311-00298
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Mengxia Wu, Min Cao, Yang Bai, Ziyin Zeng, Chen Chen, Liqiang Nie, Min Zhang:
An Empirical Study of Frame Selection for Text-to-Video Retrieval. CoRR abs/2311.00298 (2023)
[i66]
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  - journals/corr/abs-2311-11860
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Gongwei Chen, Leyang Shen, Rui Shao, Xiang Deng, Liqiang Nie:
LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge. CoRR abs/2311.11860 (2023)
[i65]
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  - journals/corr/abs-2311-16475
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Yu-Wei Zhan, Fan Liu, Xin Luo, Liqiang Nie, Xin-Shun Xu, Mohan S. Kankanhalli:
Generating Human-Centric Visual Cues for Human-Object Interaction Detection via Large Vision-Language Models. CoRR abs/2311.16475 (2023)
[i64]
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  - journals/corr/abs-2312-00347
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Xiao Wang, Yaoyu Li, Tian Gan, Zheng Zhang, Jingjing Lv, Liqiang Nie:
RTQ: Rethinking Video-language Understanding Based on Image-text Model. CoRR abs/2312.00347 (2023)
[i63]
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  - journals/corr/abs-2312-02134
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Liangxiao Hu, Hongwen Zhang, Yuxiang Zhang, Boyao Zhou, Boning Liu, Shengping Zhang, Liqiang Nie:
GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians. CoRR abs/2312.02134 (2023)
[i62]
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  - journals/corr/abs-2312-02155
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Shunyuan Zheng, Boyao Zhou, Ruizhi Shao, Boning Liu, Shengping Zhang, Liqiang Nie, Yebin Liu:
GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis. CoRR abs/2312.02155 (2023)
[i61]
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  - journals/corr/abs-2312-07384
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Haoyu Tang, Han Jiang, Mingzhu Xu, Yupeng Hu, Jihua Zhu, Liqiang Nie:
Unsupervised Temporal Action Localization via Self-paced Incremental Learning. CoRR abs/2312.07384 (2023)
[i60]
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  - journals/corr/abs-2312-10210
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Liqiang Jing, Xuemeng Song, Xinxing Zu, Na Zheng, Zhongzhou Zhao, Liqiang Nie:
VK-G2T: Vision and Context Knowledge enhanced Gloss2Text. CoRR abs/2312.10210 (2023)
[i59]
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  - journals/corr/abs-2312-14433
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Zhenyang Li, Fan Liu, Yinwei Wei, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Attribute-driven Disentangled Representation Learning for Multimodal Recommendation. CoRR abs/2312.14433 (2023)
[i58]
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  - journals/corr/abs-2312-16275
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Fan Liu, Yaqi Liu, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models. CoRR abs/2312.16275 (2023)
2022
[j122]
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Harry Cheng, Lizi Liao, Linmei Hu, Liqiang Nie:
Multi-Relation Extraction via A Global-Local Graph Convolutional Network. IEEE Trans. Big Data 8(6): 1716-1728 (2022)
[j121]
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  - journals/tcsv/DongLZNZ22
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Xinfeng Dong, Li Liu, Lei Zhu, Liqiang Nie, Huaxiang Zhang:
Adversarial Graph Convolutional Network for Cross-Modal Retrieval. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1634-1645 (2022)
[j120]
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Xinfeng Dong, Huaxiang Zhang, Lei Zhu, Liqiang Nie, Li Liu:
Hierarchical Feature Aggregation Based on Transformer for Image-Text Matching. IEEE Trans. Circuits Syst. Video Technol. 32(9): 6437-6447 (2022)
[j119]
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Xianjing Han, Xingning Dong, Xuemeng Song, Tian Gan, Yibing Zhan, Yan Yan, Liqiang Nie:
Divide-and-Conquer Predictor for Unbiased Scene Graph Generation. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8611-8622 (2022)
[j118]
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  - journals/tip/GuoNCTZ22
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Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Qi Tian, Min Zhang:
Loss Re-Scaling VQA: Revisiting the Language Prior Problem From a Class-Imbalance View. IEEE Trans. Image Process. 31: 227-238 (2022)
[j117]
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Weili Guan, Haokun Wen, Xuemeng Song, Chun Wang, Chung-Hsing Yeh, Xiaojun Chang, Liqiang Nie:
Partially Supervised Compatibility Modeling. IEEE Trans. Image Process. 31: 4733-4745 (2022)
[j116]
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  - journals/tkde/WuHCNZY22
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Bin Wu, Xiangnan He, Yun Chen, Liqiang Nie, Kai Zheng, Yangdong Ye:
Modeling Product's Visual and Functional Characteristics for Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(3): 1330-1343 (2022)
[j115]
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  - journals/tkde/GuoCJLNW22
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Yangyang Guo, Zhiyong Cheng, Jiazheng Jing, Yanpeng Lin, Liqiang Nie, Meng Wang:
Enhancing Factorization Machines With Generalized Metric Learning. IEEE Trans. Knowl. Data Eng. 34(8): 3740-3753 (2022)
[j114]
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Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie:
An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation. IEEE Trans. Knowl. Data Eng. 34(9): 4077-4088 (2022)
[j113]
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  - journals/tmm/JingZNYLS22
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Peiguang Jing, Jing Zhang, Liqiang Nie, Shu Ye, Jing Liu, Yuting Su:
Tripartite Graph Regularized Latent Low-Rank Representation for Fashion Compatibility Prediction. IEEE Trans. Multim. 24: 1277-1287 (2022)
[j112]
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  - journals/tmm/WangGLZWN22
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Shaokun Wang, Tian Gan, Yuan Liu, Li Zhang, Jianlong Wu, Liqiang Nie:
Discover Micro-Influencers for Brands via Better Understanding. IEEE Trans. Multim. 24: 2595-2605 (2022)
[j111]
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  - journals/tmm/WeiWHNRC22
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Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua:
Hierarchical User Intent Graph Network for Multimedia Recommendation. IEEE Trans. Multim. 24: 2701-2712 (2022)
[j110]
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  - journals/tois/ZhangLYRN22
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Xiao Zhang, Meng Liu, Jianhua Yin, Zhaochun Ren, Liqiang Nie:
Question Tagging via Graph-guided Ranking. ACM Trans. Inf. Syst. 40(1): 12:1-12:23 (2022)
[j109]
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  - journals/tois/0002ZLCN022
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Lei Zhu, Chaoqun Zheng, Xu Lu, Zhiyong Cheng, Liqiang Nie, Huaxiang Zhang:
Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval. ACM Trans. Inf. Syst. 40(2): 41:1-41:36 (2022)
[j108]
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  - journals/tois/ChengLMGZN22
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Zhiyong Cheng, Fan Liu, Shenghan Mei, Yangyang Guo, Lei Zhu, Liqiang Nie:
Feature-Level Attentive ICF for Recommendation. ACM Trans. Inf. Syst. 40(4): 75:1-75:24 (2022)
[j107]
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Yongqi Li, Wenjie Li, Liqiang Nie:
Dynamic Graph Reasoning for Conversational Open-Domain Question Answering. ACM Trans. Inf. Syst. 40(4): 82:1-82:24 (2022)
[j106]
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  - journals/tomccap/SunWSFN22
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Teng Sun, Chun Wang, Xuemeng Song, Fuli Feng, Liqiang Nie:
Response Generation by Jointly Modeling Personalized Linguistic Styles and Emotions. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 52:1-52:20 (2022)
[j105]
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Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie, Min Zhang:
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. ACM Trans. Multim. Comput. Commun. Appl. 18(4): 93:1-93:18 (2022)
[c129]
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  - conf/acl/JiaoGSN22
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Fangkai Jiao, Yangyang Guo, Xuemeng Song, Liqiang Nie:
MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning. ACL (Findings) 2022: 3496-3509
[c128]
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  - conf/acl/LiLN22
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Yongqi Li, Wenjie Li, Liqiang Nie:
MMCoQA: Conversational Question Answering over Text, Tables, and Images. ACL (1) 2022: 4220-4231
[c127]
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  - conf/cvpr/DongGSWCN22
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Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie:
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation. CVPR 2022: 19405-19414
[c126]
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  - conf/eccv/ShangXZNY22
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Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan:
Network Binarization via Contrastive Learning. ECCV (11) 2022: 586-602
[c125]
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Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan:
Lipschitz Continuity Retained Binary Neural Network. ECCV (11) 2022: 603-619
[c124]
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  - conf/icassp/ShangDZNY22
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Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan:
Win The Lottery Ticket Via Fourier Analysis: Frequencies Guided Network Pruning. ICASSP 2022: 4203-4207
[c123]
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  - conf/ijcai/CaoLLNZ22
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Min Cao, Shiping Li, Juntao Li, Liqiang Nie, Min Zhang:
Image-text Retrieval: A Survey on Recent Research and Development. IJCAI 2022: 5410-5417
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Teng Sun, Wenjie Wang, Liqiang Jing, Yiran Cui, Xuemeng Song, Liqiang Nie:
Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis. ACM Multimedia 2022: 15-23
[c121]
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Yangyang Guo, Liqiang Nie, Yongkang Wong, Yibing Liu, Zhiyong Cheng, Mohan S. Kankanhalli:
A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA. ACM Multimedia 2022: 2061-2069
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Liqiang Nie, Leigang Qu, Dai Meng, Min Zhang, Qi Tian, Alberto Del Bimbo:
Search-oriented Micro-video Captioning. ACM Multimedia 2022: 3234-3243
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Xiao Wang, Tian Gan, Yinwei Wei, Jianlong Wu, Dai Meng, Liqiang Nie:
Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation. ACM Multimedia 2022: 4478-4486
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Meng Liu, Shuyan Zhai, Yongqiang Li, Weili Guan, Liqiang Nie:
A Baseline for ViCo Conversational Head Generation Challenge. ACM Multimedia 2022: 7013-7015
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  - conf/sigir/SongJLZCN22
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Xuemeng Song, Liqiang Jing, Dengtian Lin, Zhongzhou Zhao, Haiqing Chen, Liqiang Nie:
V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation. SIGIR 2022: 992-1001
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Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua:
User-controllable Recommendation Against Filter Bubbles. SIGIR 2022: 1251-1261
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Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli:
Privacy-Preserving Synthetic Data Generation for Recommendation Systems. SIGIR 2022: 1379-1389
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  - journals/corr/abs-2201-12712
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Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan:
Win the Lottery Ticket via Fourier Analysis: Frequencies Guided Network Pruning. CoRR abs/2201.12712 (2022)
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  - journals/corr/abs-2202-12626
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Zhenyang Li, Yangyang Guo, Kejie Wang, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli:
Joint Answering and Explanation for Visual Commonsense Reasoning. CoRR abs/2202.12626 (2022)
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Yangyang Guo, Liqiang Nie, Harry Cheng, Zhiyong Cheng, Mohan S. Kankanhalli, Alberto Del Bimbo:
On Modality Bias Recognition and Reduction. CoRR abs/2202.12690 (2022)
[i54]
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  - journals/corr/abs-2203-00357
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Fangkai Jiao, Yangyang Guo, Xuemeng Song, Liqiang Nie:
MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning. CoRR abs/2203.00357 (2022)
[i53]
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  - journals/corr/abs-2203-05406
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Fan Liu, Zhiyong Cheng, Huilin Chen, Anan Liu, Liqiang Nie, Mohan S. Kankanhalli:
Disentangled Multimodal Representation Learning for Recommendation. CoRR abs/2203.05406 (2022)
[i52]
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  - journals/corr/abs-2203-09811
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Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie:
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation. CoRR abs/2203.09811 (2022)
[i51]
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  - journals/corr/abs-2203-14713
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Min Cao, Shiping Li, Juntao Li, Liqiang Nie, Min Zhang:
Image-text Retrieval: A Survey on Recent Research and Development. CoRR abs/2203.14713 (2022)
[i50]
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  - journals/corr/abs-2204-13844
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Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua:
User-controllable Recommendation Against Filter Bubbles. CoRR abs/2204.13844 (2022)
[i49]
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  - journals/corr/abs-2206-14989
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Yangyang Guo, Liqiang Nie, Yongkang Wong, Yibing Liu, Zhiyong Cheng, Mohan S. Kankanhalli:
A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA. CoRR abs/2206.14989 (2022)
[i48]
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  - journals/corr/abs-2207-02970
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Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan:
Network Binarization via Contrastive Learning. CoRR abs/2207.02970 (2022)
[i47]
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  - journals/corr/abs-2207-06540
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Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan:
Lipschitz Continuity Retained Binary Neural Network. CoRR abs/2207.06540 (2022)
[i46]
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  - journals/corr/abs-2207-07934
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Xiaolin Chen, Xuemeng Song, Liqiang Jing, Shuo Li, Linmei Hu, Liqiang Nie:
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model. CoRR abs/2207.07934 (2022)
[i45]
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  - journals/corr/abs-2207-10404
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Yudong Han, Jianhua Yin, Jianlong Wu, Yinwei Wei, Liqiang Nie:
Semantic-aware Modular Capsule Routing for Visual Question Answering. CoRR abs/2207.10404 (2022)
[i44]
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  - journals/corr/abs-2207-11652
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Teng Sun, Wenjie Wang, Liqiang Jing, Yiran Cui, Xuemeng Song, Liqiang Nie:
Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis. CoRR abs/2207.11652 (2022)
[i43]
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  - journals/corr/abs-2207-11850
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Yudong Han, Liqiang Nie, Jianhua Yin, Jianlong Wu, Yan Yan:
Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem. CoRR abs/2207.11850 (2022)
[i42]
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  - journals/corr/abs-2209-05299
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Tianyi Wang, Harry Cheng, Kam-Pui Chow, Liqiang Nie:
Deep Convolutional Pooling Transformer for Deepfake Detection. CoRR abs/2209.05299 (2022)
[i41]
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  - journals/corr/abs-2209-13133
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Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli:
Privacy-Preserving Synthetic Data Generation for Recommendation Systems. CoRR abs/2209.13133 (2022)
[i40]
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  - journals/corr/abs-2211-05994
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Linmei Hu, Zeyi Liu, Ziwang Zhao, Lei Hou, Liqiang Nie, Juanzi Li:
A Survey of Knowledge-Enhanced Pre-trained Language Models. CoRR abs/2211.05994 (2022)
[i39]
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  - journals/corr/abs-2212-05699
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Linmei Hu, Ziwang Zhao, Xinkai Ge, Xuemeng Song, Liqiang Nie:
MMNet: Multi-modal Fusion with Mutual Learning Network for Fake News Detection. CoRR abs/2212.05699 (2022)
[i38]
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  - journals/corr/abs-2212-10046
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Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua:
Causal Inference for Knowledge Graph based Recommendation. CoRR abs/2212.10046 (2022)
[i37]
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  - journals/corr/abs-2212-11471
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Yali Du, Yinwei Wei, Wei Ji, Fan Liu, Xin Luo, Liqiang Nie:
Multi-queue Momentum Contrast for Microvideo-Product Retrieval. CoRR abs/2212.11471 (2022)
2021
[j104]
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Weifeng Liu, Sichao Fu, Yicong Zhou, Zheng-Jun Zha, Liqiang Nie:
Human activity recognition by manifold regularization based dynamic graph convolutional networks. Neurocomputing 444: 217-225 (2021)
[j103]
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Peiguang Jing, Yuting Su, Zhengnan Li, Liqiang Nie:
Learning robust affinity graph representation for multi-view clustering. Inf. Sci. 544: 155-167 (2021)
[j102]
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  - journals/mta/LinSGYLN21
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Junyu Lin, Xuemeng Song, Tian Gan, Yiyang Yao, Weifeng Liu, Liqiang Nie:
PaintNet: A shape-constrained generative framework for generating clothing from fashion model. Multim. Tools Appl. 80(11): 17183-17203 (2021)
[j101]
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Jianlong Wu, Xingxu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha:
Reconstruction regularized low-rank subspace learning for cross-modal retrieval. Pattern Recognit. 113: 107813 (2021)
[j100]
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Weili Guan, Xuemeng Song, Tian Gan, Junyu Lin, Xiaojun Chang, Liqiang Nie:
Cooperation Learning From Multiple Social Networks: Consistent and Complementary Perspectives. IEEE Trans. Cybern. 51(9): 4501-4514 (2021)
[j99]
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Yupeng Hu, Meng Liu, Xiaobin Su, Zan Gao, Liqiang Nie:
Video Moment Localization via Deep Cross-Modal Hashing. IEEE Trans. Image Process. 30: 4667-4677 (2021)
[j98]
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Yupeng Hu, Liqiang Nie, Meng Liu, Kun Wang, Yinglong Wang, Xian-Sheng Hua:
Coarse-to-Fine Semantic Alignment for Cross-Modal Moment Localization. IEEE Trans. Image Process. 30: 5933-5943 (2021)
[j97]
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Liqiang Nie, Fangkai Jiao, Wenjie Wang, Yinglong Wang, Qi Tian:
Conversational Image Search. IEEE Trans. Image Process. 30: 7732-7743 (2021)
[j96]
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Zongmeng Zhang, Xianjing Han, Xuemeng Song, Yan Yan, Liqiang Nie:
Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos. IEEE Trans. Image Process. 30: 8265-8277 (2021)
[j95]
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Yongxin Wang, Xin Luo, Liqiang Nie, Jingkuan Song, Wei Zhang, Xin-Shun Xu:
BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing. IEEE Trans. Knowl. Data Eng. 33(11): 3507-3519 (2021)
[j94]
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Peiguang Jing, Yuechen Shang, Liqiang Nie, Yuting Su, Jing Liu, Meng Wang:
Learning Low-Rank Sparse Representations With Robust Relationship Inference for Image Memorability Prediction. IEEE Trans. Multim. 23: 2259-2272 (2021)
[j93]
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Yanchao Zhang, Weiqing Min, Liqiang Nie, Shuqiang Jiang:
Hybrid-Attention Enhanced Two-Stream Fusion Network for Video Venue Prediction. IEEE Trans. Multim. 23: 2917-2929 (2021)
[j92]
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Xiaolin Chen, Xuemeng Song, Siwei Cui, Tian Gan, Zhiyong Cheng, Liqiang Nie:
User Identity Linkage Across Social Media via Attentive Time-Aware User Modeling. IEEE Trans. Multim. 23: 3957-3967 (2021)
[j91]
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Xu Lu, Li Liu, Liqiang Nie, Xiaojun Chang, Huaxiang Zhang:
Semantic-Driven Interpretable Deep Multi-Modal Hashing for Large-Scale Multimedia Retrieval. IEEE Trans. Multim. 23: 4541-4554 (2021)
[j90]
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Tianchi Yang, Linmei Hu, Chuan Shi, Houye Ji, Xiaoli Li, Liqiang Nie:
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. ACM Trans. Inf. Syst. 39(3): 32:1-32:29 (2021)
[j89]
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Zhongying Zhao, Yonghao Yang, Chao Li, Liqiang Nie:
GuessUNeed: Recommending Courses via Neural Attention Network and Course Prerequisite Relation Embeddings. ACM Trans. Multim. Comput. Commun. Appl. 16(4): 132:1-132:17 (2021)
[j88]
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Weili Guan, Zhaozheng Chen, Fuli Feng, Weifeng Liu, Liqiang Nie:
Urban Perception: Sensing Cities via a Deep Interactive Multi-task Learning Framework. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 13:1-13:20 (2021)
[j87]
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Wenjie Wang, Ling-Yu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie:
Market2Dish: Health-aware Food Recommendation. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 33:1-33:19 (2021)
[j86]
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Xin Yang, Xuemeng Song, Fuli Feng, Haokun Wen, Ling-Yu Duan, Liqiang Nie:
Attribute-wise Explainable Fashion Compatibility Modeling. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 36:1-36:21 (2021)
[c114]
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  - conf/acl/JiaoGNJLN21
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Fangkai Jiao, Yangyang Guo, Yilin Niu, Feng Ji, Feng-Lin Li, Liqiang Nie:
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training. ACL/IJCNLP (Findings) 2021: 150-163
[c113]
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Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua:
Graph Contrastive Clustering. ICCV 2021: 9204-9213
[c112]
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Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan:
Lipschitz Continuity Guided Knowledge Distillation. ICCV 2021: 10655-10664
[c111]
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  - https://dblp.org/rec/conf/ijcai/GuoNCJZB21
Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Feng Ji, Ji Zhang, Alberto Del Bimbo:
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss. IJCAI 2021: 708-714
[c110]
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  - conf/mm/ZhengSNDZN21
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Na Zheng, Xuemeng Song, Qingying Niu, Xue Dong, Yibing Zhan, Liqiang Nie:
Collocation and Try-on Network: Whether an Outfit is Compatible. ACM Multimedia 2021: 309-317
[c109]
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  - conf/mm/ZhangLGLWN21
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Haoyu Zhang, Meng Liu, Zan Gao, Xiaoqiang Lei, Yinglong Wang, Liqiang Nie:
Multimodal Dialog System: Relational Graph-based Context-aware Question Understanding. ACM Multimedia 2021: 695-703
[c108]
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  - conf/mm/Lu00N021
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Xu Lu, Lei Zhu, Li Liu, Liqiang Nie, Huaxiang Zhang:
Graph Convolutional Multi-modal Hashing for Flexible Multimedia Retrieval. ACM Multimedia 2021: 1414-1422
[c107]
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  - conf/mm/GuanWSYCN21
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Weili Guan, Haokun Wen, Xuemeng Song, Chung-Hsing Yeh, Xiaojun Chang, Liqiang Nie:
Multimodal Compatibility Modeling via Exploring the Consistent and Complementary Correlations. ACM Multimedia 2021: 2299-2307
[c106]
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  - conf/mm/SuSZGLN21
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Tianyu Su, Xuemeng Song, Na Zheng, Weili Guan, Yan Li, Liqiang Nie:
Complementary Factorization towards Outfit Compatibility Modeling. ACM Multimedia 2021: 4073-4081
[c105]
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  - conf/mm/HanGYLHN21
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Yudong Han, Yangyang Guo, Jianhua Yin, Meng Liu, Yupeng Hu, Liqiang Nie:
Focal and Composed Vision-semantic Modeling for Visual Question Answering. ACM Multimedia 2021: 4528-4536
[c104]
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  - conf/mm/WeiWLNLLC21
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Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua:
Contrastive Learning for Cold-Start Recommendation. ACM Multimedia 2021: 5382-5390
[c103]
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  - conf/mmasia/MaHSCN21
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Ziyang Ma, Xianjing Han, Xuemeng Song, Yiran Cui, Liqiang Nie:
Hierarchical Deep Residual Reasoning for Temporal Moment Localization. MMAsia 2021: 15:1-15:7
[c102]
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  - conf/mmasia/BecattiniSBFFNB21
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Federico Becattini, Xuemeng Song, Claudio Baecchi, Shi-Ting Fang, Claudio Ferrari, Liqiang Nie, Alberto Del Bimbo:
PLM-IPE: A Pixel-Landmark Mutual Enhanced Framework for Implicit Preference Estimation. MMAsia 2021: 42:1-42:5
[c101]
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  - conf/sigir/NieJSWCG21
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Liqiang Nie, Mengzhao Jia, Xuemeng Song, Ganglu Wu, Harry Cheng, Jian Gu:
Multimodal Activation: Awakening Dialog Robots without Wake Words. SIGIR 2021: 491-500
[c100]
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Xiaolin Chen, Xuemeng Song, Guozhen Peng, Shanshan Feng, Liqiang Nie:
Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage. SIGIR 2021: 1084-1093
[c99]
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Leigang Qu, Meng Liu, Jianlong Wu, Zan Gao, Liqiang Nie:
Dynamic Modality Interaction Modeling for Image-Text Retrieval. SIGIR 2021: 1104-1113
[c98]
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Haokun Wen, Xuemeng Song, Xin Yang, Yibing Zhan, Liqiang Nie:
Comprehensive Linguistic-Visual Composition Network for Image Retrieval. SIGIR 2021: 1369-1378
[c97]
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  - conf/wsdm/WangF0NC21
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Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Denoising Implicit Feedback for Recommendation. WSDM 2021: 373-381
[c96]
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  - conf/www/LiuCZGN21
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Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie:
Interest-aware Message-Passing GCN for Recommendation. WWW 2021: 1296-1305
[i36]
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  - journals/corr/abs-2101-06938
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Yongqi Li, Wenjie Li, Liqiang Nie:
Incremental Knowledge Based Question Answering. CoRR abs/2101.06938 (2021)
[i35]
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  - journals/corr/abs-2102-01916
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Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie:
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. CoRR abs/2102.01916 (2021)
[i34]
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  - journals/corr/abs-2102-10044
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Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie:
Interest-aware Message-Passing GCN for Recommendation. CoRR abs/2102.10044 (2021)
[i33]
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  - journals/corr/abs-2102-10745
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Zhiyong Cheng, Shenghan Mei, Yangyang Guo, Lei Zhu, Liqiang Nie:
Factor-level Attentive ICF for Recommendation. CoRR abs/2102.10745 (2021)
[i32]
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  - journals/corr/abs-2104-01429
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Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua:
Graph Contrastive Clustering. CoRR abs/2104.01429 (2021)
[i31]
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  - journals/corr/abs-2104-08443
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Yongqi Li, Wenjie Li, Liqiang Nie:
A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering. CoRR abs/2104.08443 (2021)
[i30]
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  - journals/corr/abs-2105-01993
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Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Feng Ji, Ji Zhang, Alberto Del Bimbo:
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss. CoRR abs/2105.01993 (2021)
[i29]
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  - journals/corr/abs-2105-04201
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Fangkai Jiao, Yangyang Guo, Yilin Niu, Feng Ji, Feng-Lin Li, Liqiang Nie:
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training. CoRR abs/2105.04201 (2021)
[i28]
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  - journals/corr/abs-2106-04155
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Han Liu, Yangyang Guo, Jianhua Yin, Zan Gao, Liqiang Nie:
Review Polarity-wise Recommender. CoRR abs/2106.04155 (2021)
[i27]
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  - journals/corr/abs-2107-05315
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Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua:
Contrastive Learning for Cold-Start Recommendation. CoRR abs/2107.05315 (2021)
[i26]
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  - journals/corr/abs-2108-12905
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Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan:
Lipschitz Continuity Guided Knowledge Distillation. CoRR abs/2108.12905 (2021)
[i25]
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  - journals/corr/abs-2110-06058
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Zongmeng Zhang, Xianjing Han, Xuemeng Song, Yan Yan, Liqiang Nie:
Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos. CoRR abs/2110.06058 (2021)
[i24]
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  - journals/corr/abs-2110-14925
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Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua:
Hierarchical User Intent Graph Network forMultimedia Recommendation. CoRR abs/2110.14925 (2021)
[i23]
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  - journals/corr/abs-2111-00417
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Ziyang Ma, Xianjing Han, Xuemeng Song, Yiran Cui, Liqiang Nie:
Hierarchical Deep Residual Reasoning for Temporal Moment Localization. CoRR abs/2111.00417 (2021)
[i22]
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  - journals/corr/abs-2111-02036
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Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. CoRR abs/2111.02036 (2021)
[i21]
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  - journals/corr/abs-2112-01160
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Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Learning Robust Recommender from Noisy Implicit Feedback. CoRR abs/2112.01160 (2021)
2020
[j85]
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  - journals/isci/FuLTZN20
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Sichao Fu, Weifeng Liu, Dapeng Tao, Yicong Zhou, Liqiang Nie:
HesGCN: Hessian graph convolutional networks for semi-supervised classification. Inf. Sci. 514: 484-498 (2020)
[j84]
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  - journals/kbs/CaoCZN20
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Da Cao, Jingjing Chu, Ningbo Zhu, Liqiang Nie:
Cross-modal recipe retrieval via parallel- and cross-attention networks learning. Knowl. Based Syst. 193: 105428 (2020)
[j83]
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  - journals/kbs/CaoMRQN20
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Da Cao, Lianhai Miao, Huigui Rong, Zheng Qin, Liqiang Nie:
Hashtag our stories: Hashtag recommendation for micro-videos via harnessing multiple modalities. Knowl. Based Syst. 203: 106114 (2020)
[j82]
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  - journals/nn/ShangZSNL20
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Fei Shang, Huaxiang Zhang, Jiande Sun, Liqiang Nie, Li Liu:
Cross-modal dual subspace learning with adversarial network. Neural Networks 126: 132-142 (2020)
[j81]
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  - journals/npl/LiLZTN20
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Jinfeng Li, Weifeng Liu, Yicong Zhou, Dapeng Tao, Liqiang Nie:
Domain Adaptation with Few Labeled Source Samples by Graph Regularization. Neural Process. Lett. 51(1): 23-39 (2020)
[j80]
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  - journals/prl/ChangLYN20
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Xiaojun Chang, Xiaodan Liang, Yan Yan, Liqiang Nie:
Guest editorial: Image/video understanding and analysis. Pattern Recognit. Lett. 130: 1-3 (2020)
[j79]
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  - journals/tcsv/ChenLLNZX20
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Zhen-Duo Chen, Chuan-Xiang Li, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu:
SCRATCH: A Scalable Discrete Matrix Factorization Hashing Framework for Cross-Modal Retrieval. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2262-2275 (2020)
[j78]
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Xiang Zhou, Fumin Shen, Li Liu, Wei Liu, Liqiang Nie, Yang Yang, Heng Tao Shen:
Graph Convolutional Network Hashing. IEEE Trans. Cybern. 50(4): 1460-1472 (2020)
[j77]
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  - journals/tip/WeiWGNLC20
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Yinwei Wei, Xiang Wang, Weili Guan, Liqiang Nie, Zhouchen Lin, Baoquan Chen:
Neural Multimodal Cooperative Learning Toward Micro-Video Understanding. IEEE Trans. Image Process. 29: 1-14 (2020)
[j76]
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Xianjing Han, Xuemeng Song, Yiyang Yao, Xin-Shun Xu, Liqiang Nie:
Neural Compatibility Modeling With Probabilistic Knowledge Distillation. IEEE Trans. Image Process. 29: 871-882 (2020)
[j75]
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Hui Cui, Lei Zhu, Jingjing Li, Yang Yang, Liqiang Nie:
Scalable Deep Hashing for Large-Scale Social Image Retrieval. IEEE Trans. Image Process. 29: 1271-1284 (2020)
[j74]
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Xingbo Liu, Xiushan Nie, Quan Zhou, Liqiang Nie, Yilong Yin:
Model Optimization Boosting Framework for Linear Model Hash Learning. IEEE Trans. Image Process. 29: 4254-4268 (2020)
[j73]
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Meng Liu, Leigang Qu, Liqiang Nie, Maofu Liu, Lingyu Duan, Baoquan Chen:
Iterative Local-Global Collaboration Learning Towards One-Shot Video Person Re-Identification. IEEE Trans. Image Process. 29: 9360-9372 (2020)
[j72]
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Muwei Jian, Junyu Dong, Maoguo Gong, Hui Yu, Liqiang Nie, Yilong Yin, Kin-Man Lam:
Learning the Traditional Art of Chinese Calligraphy via Three-Dimensional Reconstruction and Assessment. IEEE Trans. Multim. 22(4): 970-979 (2020)
[j71]
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Peiguang Jing, Shu Ye, Liqiang Nie, Jing Liu, Yuting Su:
Low-Rank Regularized Multi-Representation Learning for Fashion Compatibility Prediction. IEEE Trans. Multim. 22(6): 1555-1566 (2020)
[j70]
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  - journals/tois/NieLFSWW20
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Liqiang Nie, Yongqi Li, Fuli Feng, Xuemeng Song, Meng Wang, Yinglong Wang:
Large-Scale Question Tagging via Joint Question-Topic Embedding Learning. ACM Trans. Inf. Syst. 38(2): 20:1-20:23 (2020)
[j69]
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Xiaolin Chen, Xuemeng Song, Ruiyang Ren, Lei Zhu, Zhiyong Cheng, Liqiang Nie:
Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning. ACM Trans. Inf. Syst. 38(4): 37:1-37:26 (2020)
[j68]
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Jinhuan Liu, Xuemeng Song, Liqiang Nie, Tian Gan, Jun Ma:
An End-to-End Attention-Based Neural Model for Complementary Clothing Matching. ACM Trans. Multim. Comput. Commun. Appl. 15(4): 114:1-114:16 (2020)
[c95]
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  - conf/aaai/WuXNLZ20
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Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha:
Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering. AAAI 2020: 6388-6395
[c94]
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Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma:
Auxiliary Template-Enhanced Generative Compatibility Modeling. IJCAI 2020: 3508-3514
[c93]
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  - conf/mm/CaoZWNHQ20
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Da Cao, Yawen Zeng, Xiaochi Wei, Liqiang Nie, Richang Hong, Zheng Qin:
Adversarial Video Moment Retrieval by Jointly Modeling Ranking and Localization. ACM Multimedia 2020: 898-906
[c92]
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  - conf/mm/Qu0CN020
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Leigang Qu, Meng Liu, Da Cao, Liqiang Nie, Qi Tian:
Context-Aware Multi-View Summarization Network for Image-Text Matching. ACM Multimedia 2020: 1047-1055
[c91]
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  - conf/mm/YuGWCN20
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Xuzheng Yu, Tian Gan, Yinwei Wei, Zhiyong Cheng, Liqiang Nie:
Personalized Item Recommendation for Second-hand Trading Platform. ACM Multimedia 2020: 3478-3486
[c90]
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Hao Jiang, Wenjie Wang, Yinwei Wei, Zan Gao, Yinglong Wang, Liqiang Nie:
What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation. ACM Multimedia 2020: 3487-3495
[c89]
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Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. ACM Multimedia 2020: 3541-3549
[c88]
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  - conf/sigir/DongWSDN20
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Xue Dong, Jianlong Wu, Xuemeng Song, Hongjun Dai, Liqiang Nie:
Fashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme. SIGIR 2020: 771-780
[c87]
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  - conf/sigir/YangSHWNN20
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Xin Yang, Xuemeng Song, Xianjing Han, Haokun Wen, Jie Nie, Liqiang Nie:
Generative Attribute Manipulation Scheme for Flexible Fashion Search. SIGIR 2020: 941-950
[c86]
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  - conf/wsdm/SunLLRGN20
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Changfeng Sun, Han Liu, Meng Liu, Zhaochun Ren, Tian Gan, Liqiang Nie:
LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation. WSDM 2020: 582-590
[i20]
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  - journals/corr/abs-2003-09086
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Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie:
A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation. CoRR abs/2003.09086 (2020)
[i19]
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  - journals/corr/abs-2006-04153
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Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Denoising Implicit Feedback for Recommendation. CoRR abs/2006.04153 (2020)
[i18]
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  - journals/corr/abs-2006-11600
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Yangyang Guo, Zhiyong Cheng, Jiazheng Jing, Yanpeng Lin, Liqiang Nie, Meng Wang:
Enhancing Factorization Machines with Generalized Metric Learning. CoRR abs/2006.11600 (2020)
[i17]
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  - journals/corr/abs-2010-16010
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Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Qi Tian:
Loss-rescaling VQA: Revisiting Language Prior Problem from a Class-imbalance View. CoRR abs/2010.16010 (2020)
[i16]
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  - journals/corr/abs-2012-06416
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Wenjie Wang, Ling-Yu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie:
Market2Dish: Health-aware Food Recommendation. CoRR abs/2012.06416 (2020)

2010 – 2019

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2019
[b3]
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Liqiang Nie, Meng Liu, Xuemeng Song:
Multimodal Learning toward Micro-Video Understanding. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2019, ISBN 978-3-031-01127-6
[b2]
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Xuemeng Song, Liqiang Nie, Yinglong Wang:
Compatibility Modeling: Data and Knowledge Applications for Clothing Matching. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2019, ISBN 978-3-031-01193-1
[j67]
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  - journals/ijon/FuLZN19
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Sichao Fu, Weifeng Liu, Yicong Zhou, Liqiang Nie:
HpLapGCN: Hypergraph p-Laplacian graph convolutional networks. Neurocomputing 362: 166-174 (2019)
[j66]
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Muwei Jian, Chaoran Cui, Xiushan Nie, Huaxiang Zhang, Liqiang Nie, Yilong Yin:
Multi-view face hallucination using SVD and a mapping model. Inf. Sci. 488: 181-189 (2019)
[j65]
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  - journals/kbs/YuanHXCGN19
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Jin Yuan, Xingxing Hou, Yaoqiang Xiao, Da Cao, Weili Guan, Liqiang Nie:
Multi-criteria active deep learning for image classification. Knowl. Based Syst. 172: 86-94 (2019)
[j64]
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  - journals/sigpro/JingSLLN19
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Peiguang Jing, Yuting Su, Zhengnan Li, Jing Liu, Liqiang Nie:
Low-rank regularized tensor discriminant representation for image set classification. Signal Process. 156: 62-70 (2019)
[j63]
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Peiguang Jing, Yuting Su, Liqiang Nie, Huimin Gu, Jing Liu, Meng Wang:
A Framework of Joint Low-Rank and Sparse Regression for Image Memorability Prediction. IEEE Trans. Circuits Syst. Video Technol. 29(5): 1296-1309 (2019)
[j62]
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  - journals/tip/LiuNWTC19
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Meng Liu, Liqiang Nie, Xiang Wang, Qi Tian, Baoquan Chen:
Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning. IEEE Trans. Image Process. 28(3): 1235-1247 (2019)
[j61]
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Xin Luo, Peng-Fei Zhang, Zi Huang, Liqiang Nie, Xin-Shun Xu:
Discrete Hashing With Multiple Supervision. IEEE Trans. Image Process. 28(6): 2962-2975 (2019)
[j60]
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Chaoran Cui, Huihui Liu, Tao Lian, Liqiang Nie, Lei Zhu, Yilong Yin:
Distribution-Oriented Aesthetics Assessment With Semantic-Aware Hybrid Network. IEEE Trans. Multim. 21(5): 1209-1220 (2019)
[j59]
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Chuan-Xiang Li, Ting-Kun Yan, Xin Luo, Liqiang Nie, Xin-Shun Xu:
Supervised Robust Discrete Multimodal Hashing for Cross-Media Retrieval. IEEE Trans. Multim. 21(11): 2863-2877 (2019)
[j58]
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  - journals/tois/HuangWNMX19
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Heyan Huang, Xiaochi Wei, Liqiang Nie, Xianling Mao, Xin-Shun Xu:
From Question to Text: Question-Oriented Feature Attention for Answer Selection. ACM Trans. Inf. Syst. 37(1): 6:1-6:33 (2019)
[j57]
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Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yinglong Wang, Jun Ma, Mohan S. Kankanhalli:
Attentive Long Short-Term Preference Modeling for Personalized Product Search. ACM Trans. Inf. Syst. 37(2): 19:1-19:27 (2019)
[c85]
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  - conf/aaai/DuCF0GN19
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Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie:
Explicit Interaction Model towards Text Classification. AAAI 2019: 6359-6366
[c84]
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  - conf/cikm/LiGLCYN19
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Mengmeng Li, Tian Gan, Meng Liu, Zhiyong Cheng, Jianhua Yin, Liqiang Nie:
Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network. CIKM 2019: 509-518
[c83]
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Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan, Cheng Yang:
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding. EMNLP/IJCNLP (1) 2019: 3819-3827
[c82]
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Na Zheng, Xuemeng Song, Zhaozheng Chen, Linmei Hu, Da Cao, Liqiang Nie:
Virtually Trying on New Clothing with Arbitrary Poses. ACM Multimedia 2019: 266-274
[c81]
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Xue Dong, Xuemeng Song, Fuli Feng, Peiguang Jing, Xin-Shun Xu, Liqiang Nie:
Personalized Capsule Wardrobe Creation with Garment and User Modeling. ACM Multimedia 2019: 302-310
[c80]
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Xuemeng Song, Xianjing Han, Yunkai Li, Jingyuan Chen, Xin-Shun Xu, Liqiang Nie:
GP-BPR: Personalized Compatibility Modeling for Clothing Matching. ACM Multimedia 2019: 320-328
[c79]
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Liqiang Nie, Wenjie Wang, Richang Hong, Meng Wang, Qi Tian:
Multimodal Dialog System: Generating Responses via Adaptive Decoders. ACM Multimedia 2019: 1098-1106
[c78]
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Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Richang Hong, Tat-Seng Chua:
MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video. ACM Multimedia 2019: 1437-1445
[c77]
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Yinwei Wei, Zhiyong Cheng, Xuzheng Yu, Zhou Zhao, Lei Zhu, Liqiang Nie:
Personalized Hashtag Recommendation for Micro-videos. ACM Multimedia 2019: 1446-1454
[c76]
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Yongqi Li, Meng Liu, Jianhua Yin, Chaoran Cui, Xin-Shun Xu, Liqiang Nie:
Routing Micro-videos via A Temporal Graph-guided Recommendation System. ACM Multimedia 2019: 1464-1472
[c75]
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  - conf/mm/LiuCSWNK19
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Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan S. Kankanhalli:
User Diverse Preference Modeling by Multimodal Attentive Metric Learning. ACM Multimedia 2019: 1526-1534
[c74]
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  - conf/mm/CaoYZFN019
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Da Cao, Zhiwang Yu, Hanling Zhang, Jiansheng Fang, Liqiang Nie, Qi Tian:
Video-Based Cross-Modal Recipe Retrieval. ACM Multimedia 2019: 1685-1693
[c73]
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  - conf/mm/ChenWLLNX19
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Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun Xu:
A Two-Step Cross-Modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps. ACM Multimedia 2019: 1694-1702
[c72]
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  - conf/mm/GanWLSYN19
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Tian Gan, Shaokun Wang, Meng Liu, Xuemeng Song, Yiyang Yao, Liqiang Nie:
Seeking Micro-influencers for Brand Promotion. ACM Multimedia 2019: 1933-1941
[c71]
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  - conf/mm/JiangW0NDX19
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Hao Jiang, Wenjie Wang, Meng Liu, Liqiang Nie, Ling-Yu Duan, Changsheng Xu:
Market2Dish: A Health-aware Food Recommendation System. ACM Multimedia 2019: 2188-2190
[c70]
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  - conf/mmasia/GanMLSN19
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Tian Gan, Zhixin Ma, Yuxiao Lu, Xuemeng Song, Liqiang Nie:
Learn to Gesture: Let Your Body Speak. MMAsia 2019: 33:1-33:6
[c69]
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  - conf/sigir/GuoCNLWK19
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Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yibing Liu, Yinglong Wang, Mohan S. Kankanhalli:
Quantifying and Alleviating the Language Prior Problem in Visual Question Answering. SIGIR 2019: 75-84
[c68]
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Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu, Liqiang Nie:
User Attention-guided Multimodal Dialog Systems. SIGIR 2019: 445-454
[c67]
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  - conf/sigir/Lu0CNZ19
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Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie, Huaxiang Zhang:
Online Multi-modal Hashing with Dynamic Query-adaption. SIGIR 2019: 715-724
[c66]
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  - conf/sigir/SunSFZZN19
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Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang, Liqiang Nie:
Supervised Hierarchical Cross-Modal Hashing. SIGIR 2019: 725-734
[c65]
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  - conf/sigir/HanSYWN19
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Xianjing Han, Xuemeng Song, Jianhua Yin, Yinglong Wang, Liqiang Nie:
Prototype-guided Attribute-wise Interpretable Scheme for Clothing Matching. SIGIR 2019: 785-794
[c64]
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  - conf/ssci/PanZLN19
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Yichen Pan, Yicong Zhou, Weifeng Liu, Liqiang Nie:
Principal Component Analysis on Graph-Hessian. SSCI 2019: 1494-1501
[i15]
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  - journals/corr/abs-1905-04877
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Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yibing Liu, Yinglong Wang, Mohan S. Kankanhalli:
Quantifying and Alleviating the Language Prior Problem in Visual Question Answering. CoRR abs/1905.04877 (2019)
[i14]
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  - journals/corr/abs-1908-07738
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Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan S. Kankanhalli:
User Diverse Preference Modeling by Multimodal Attentive Metric Learning. CoRR abs/1908.07738 (2019)
[i13]
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  - journals/corr/abs-1908-09987
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Yinwei Wei, Zhiyong Cheng, Xuzheng Yu, Zhou Zhao, Lei Zhu, Liqiang Nie:
Personalized Hashtag Recommendation for Micro-videos. CoRR abs/1908.09987 (2019)
2018
[j56]
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Liqiang Nie, Richang Hong, Peng Cui:
Guest Editorial: Query understanding. Neurocomputing 274: 1-2 (2018)
[j55]
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  - journals/isci/ZhaoLQNYZ18
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Zhongying Zhao, Wenqiang Liu, Yuhua Qian, Liqiang Nie, Yilong Yin, Yong Zhang:
Identifying advisor-advisee relationships from co-author networks via a novel deep model. Inf. Sci. 466: 258-269 (2018)
[j54]
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Xiaojun Chang, Yan Yan, Liqiang Nie:
Guest Editorial: Semantic Concept Discovery in MM Data. Multim. Tools Appl. 77(3): 2945-2946 (2018)
[j53]
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Yahong Han, Liqiang Nie, Fei Wu:
Guest Editorial: Spatio-temporal Feature Learning for Unconstrained Video Analysis. Multim. Tools Appl. 77(22): 29209-29211 (2018)
[j52]
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  - journals/tcyb/LuoCNYHZ18
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Minnan Luo, Xiaojun Chang, Liqiang Nie, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition. IEEE Trans. Cybern. 48(2): 648-660 (2018)
[j51]
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  - https://dblp.org/rec/journals/tcyb/XiaZMYNL18
Yingjie Xia, Luming Zhang, Lei Meng, Yan Yan, Liqiang Nie, Xuelong Li:
Exploring Web Images to Enhance Skin Disease Analysis Under A Computer Vision Framework. IEEE Trans. Cybern. 48(11): 3080-3091 (2018)
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Peiguang Jing, Yuting Su, Liqiang Nie, Xu Bai, Jing Liu, Meng Wang:
Low-Rank Multi-View Embedding Learning for Micro-Video Popularity Prediction. IEEE Trans. Knowl. Data Eng. 30(8): 1519-1532 (2018)
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Zhihui Li, Feiping Nie, Xiaojun Chang, Liqiang Nie, Huaxiang Zhang, Yi Yang:
Rank-Constrained Spectral Clustering With Flexible Embedding. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6073-6082 (2018)
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Pengjie Ren, Zhumin Chen, Zhaochun Ren, Furu Wei, Liqiang Nie, Jun Ma, Maarten de Rijke:
Sentence Relations for Extractive Summarization with Deep Neural Networks. ACM Trans. Inf. Syst. 36(4): 39:1-39:32 (2018)
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Yan Yan, Liqiang Nie, Rita Cucchiara:
Guest Editorial: Special Section on "Multimedia Understanding via Multimodal Analytics". ACM Trans. Multim. Comput. Commun. Appl. 14(2s): 37:1-37:2 (2018)
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Zhen-Duo Chen, Wan-Jin Yu, Chuan-Xiang Li, Liqiang Nie, Xin-Shun Xu:
Dual Deep Neural Networks Cross-Modal Hashing. AAAI 2018: 274-281
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Dan Wang, Heyan Huang, Chi Lu, Bo-Si Feng, Guihua Wen, Liqiang Nie, Xianling Mao:
Supervised Deep Hashing for Hierarchical Labeled Data. AAAI 2018: 7388-7395
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  - conf/acl/HuangNWL18
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Yansen Wang, Chenyi Liu, Minlie Huang, Liqiang Nie:
Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. ACL (1) 2018: 2193-2203
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  - conf/cikm/MeiRCNMN18
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Lei Mei, Pengjie Ren, Zhumin Chen, Liqiang Nie, Jun Ma, Jian-Yun Nie:
An Attentive Interaction Network for Context-aware Recommendations. CIKM 2018: 157-166
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Xin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang, Xin-Shun Xu:
SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing. IJCAI 2018: 2518-2524
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Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang:
Discrete Factorization Machines for Fast Feature-based Recommendation. IJCAI 2018: 3449-3455
[c57]
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Ryuichi Takanobu, Minlie Huang, Zhongzhou Zhao, Feng-Lin Li, Haiqing Chen, Xiaoyan Zhu, Liqiang Nie:
A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning. IJCAI 2018: 4403-4410
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Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua:
Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning. IJCAI 2018: 4482-4488
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Chuan-Xiang Li, Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu:
SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval. ACM Multimedia 2018: 1-9
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Meng Liu, Xiang Wang, Liqiang Nie, Qi Tian, Baoquan Chen, Tat-Seng Chua:
Cross-modal Moment Localization in Videos. ACM Multimedia 2018: 843-851
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Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Xin-Shun Xu, Mohan S. Kankanhalli:
Multi-modal Preference Modeling for Product Search. ACM Multimedia 2018: 1865-1873
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Jingyuan Chen, Xiangnan He, Xuemeng Song, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua:
Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs. MMM (2) 2018: 327-339
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  - conf/sigir/SongFHYLN18
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Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, Liqiang Nie:
Neural Compatibility Modeling with Attentive Knowledge Distillation. SIGIR 2018: 5-14
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Meng Liu, Xiang Wang, Liqiang Nie, Xiangnan He, Baoquan Chen, Tat-Seng Chua:
Attentive Moment Retrieval in Videos. SIGIR 2018: 15-24
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Wenjie Wang, Minlie Huang, Xin-Shun Xu, Fumin Shen, Liqiang Nie:
Chat More: Deepening and Widening the Chatting Topic via A Deep Model. SIGIR 2018: 255-264
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Xuemeng Song, Xiang Wang, Liqiang Nie, Xiangnan He, Zhumin Chen, Wei Liu:
A Personal Privacy Preserving Framework: I Let You Know Who Can See What. SIGIR 2018: 295-304
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Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu:
Fast Scalable Supervised Hashing. SIGIR 2018: 735-744
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  - conf/www/Feng0LNC18
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Fuli Feng, Xiangnan He, Yiqun Liu, Liqiang Nie, Tat-Seng Chua:
Learning on Partial-Order Hypergraphs. WWW 2018: 1523-1532
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Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua:
TEM: Tree-enhanced Embedding Model for Explainable Recommendation. WWW 2018: 1543-1552
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  - conf/icimcs/2017
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Benoit Huet, Liqiang Nie, Richang Hong:
Internet Multimedia Computing and Service - 9th International Conference, ICIMCS 2017, Qingdao, China, August 23-25, 2017, Revised Selected Papers. Communications in Computer and Information Science 819, Springer 2018, ISBN 978-981-10-8529-1 [contents]
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  - journals/corr/abs-1805-00313
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Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, Liqiang Nie:
Neural Compatibility Modeling with Attentive Knowledge Distillation. CoRR abs/1805.00313 (2018)
[i11]
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  - journals/corr/abs-1805-02232
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Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang:
Discrete Factorization Machines for Fast Feature-based Recommendation. CoRR abs/1805.02232 (2018)
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  - journals/corr/abs-1805-04843
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Yansen Wang, Chenyi Liu, Minlie Huang, Liqiang Nie:
Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. CoRR abs/1805.04843 (2018)
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  - journals/corr/abs-1811-09386
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Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie:
Explicit Interaction Model towards Text Classification. CoRR abs/1811.09386 (2018)
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  - journals/corr/abs-1811-10155
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Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yinglong Wang, Jun Ma, Mohan S. Kankanhalli:
Attentive Long Short-Term Preference Modeling for Personalized Product Search. CoRR abs/1811.10155 (2018)
2017
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Minnan Luo, Xiaojun Chang, Zhihui Li, Liqiang Nie, Alexander G. Hauptmann, Qinghua Zheng:
Simple to complex cross-modal learning to rank. Comput. Vis. Image Underst. 163: 67-77 (2017)
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Da Cao, Liqiang Nie, Xiangnan He, Xiaochi Wei, Jialie Shen, Shunxiang Wu, Tat-Seng Chua:
Version-sensitive mobile App recommendation. Inf. Sci. 381: 161-175 (2017)
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An-An Liu, Ke Gao, Liqiang Nie, Juergen Gall, Yi Yang:
Special issue on cross-media big data analytics. J. Vis. Commun. Image Represent. 48: 353-355 (2017)
[j43]
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  - journals/tcyb/XiaZHNYS17
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Yingjie Xia, Luming Zhang, Richang Hong, Liqiang Nie, Yan Yan, Ling Shao:
Perceptually Guided Photo Retargeting. IEEE Trans. Cybern. 47(3): 566-578 (2017)
[j42]
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Liqiang Nie, Luming Zhang, Yan Yan, Xiaojun Chang, Maofu Liu, Ling Shao:
Multiview Physician-Specific Attributes Fusion for Health Seeking. IEEE Trans. Cybern. 47(11): 3680-3691 (2017)
[j41]
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  - journals/tip/XiaZLNL17
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Yingjie Xia, Luming Zhang, Zhenguang Liu, Liqiang Nie, Xuelong Li:
Weakly Supervised Multimodal Kernel for Categorizing Aerial Photographs. IEEE Trans. Image Process. 26(8): 3748-3758 (2017)
[j40]
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  - journals/tist/NieZWHFC17
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Liqiang Nie, Luming Zhang, Meng Wang, Richang Hong, Aleksandr Farseev, Tat-Seng Chua:
Learning User Attributes via Mobile Social Multimedia Analytics. ACM Trans. Intell. Syst. Technol. 8(3): 36:1-36:19 (2017)
[j39]
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Chaoran Cui, Jialie Shen, Liqiang Nie, Richang Hong, Jun Ma:
Augmented Collaborative Filtering for Sparseness Reduction in Personalized POI Recommendation. ACM Trans. Intell. Syst. Technol. 8(5): 71:1-71:23 (2017)
[j38]
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Xiaochi Wei, Heyan Huang, Liqiang Nie, Hanwang Zhang, Xianling Mao, Tat-Seng Chua:
I Know What You Want to Express: Sentence Element Inference by Incorporating External Knowledge Base. IEEE Trans. Knowl. Data Eng. 29(2): 344-358 (2017)
[j37]
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Liqiang Nie, Xiaochi Wei, Dongxiang Zhang, Xiang Wang, Zhipeng Gao, Yi Yang:
Data-Driven Answer Selection in Community QA Systems. IEEE Trans. Knowl. Data Eng. 29(6): 1186-1198 (2017)
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Peiguang Jing, Yuting Su, Liqiang Nie, Huimin Gu:
Predicting Image Memorability Through Adaptive Transfer Learning From External Sources. IEEE Trans. Multim. 19(5): 1050-1062 (2017)
[j35]
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Guoyu Lu, Liqiang Nie, Scott Sorensen, Chandra Kambhamettu:
Large-Scale Tracking for Images With Few Textures. IEEE Trans. Multim. 19(9): 2117-2128 (2017)
[j34]
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  - journals/tnn/NieZMSCL17
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Liqiang Nie, Luming Zhang, Lei Meng, Xuemeng Song, Xiaojun Chang, Xuelong Li:
Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1508-1519 (2017)
[j33]
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Dongxiang Zhang, Long Guo, Liqiang Nie, Jie Shao, Sai Wu, Heng Tao Shen:
Targeted Advertising in Public Transportation Systems with Quantitative Evaluation. ACM Trans. Inf. Syst. 35(3): 20:1-20:29 (2017)
[j32]
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Dongxiang Zhang, Liqiang Nie, Huanbo Luan, Kian-Lee Tan, Tat-Seng Chua, Heng Tao Shen:
Compact Indexing and Judicious Searching for Billion-Scale Microblog Retrieval. ACM Trans. Inf. Syst. 35(3): 27:1-27:24 (2017)
[j31]
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Da Cao, Xiangnan He, Liqiang Nie, Xiaochi Wei, Xia Hu, Shunxiang Wu, Tat-Seng Chua:
Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts. ACM Trans. Inf. Syst. 35(4): 37:1-37:27 (2017)
[j30]
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Xiang Wang, Liqiang Nie, Xuemeng Song, Dongxiang Zhang, Tat-Seng Chua:
Unifying Virtual and Physical Worlds: Learning Toward Local and Global Consistency. ACM Trans. Inf. Syst. 36(1): 4:1-4:26 (2017)
[c44]
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  - conf/aaai/MaoFHNHW17
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Xianling Mao, Bo-Si Feng, Yi-Jing Hao, Liqiang Nie, Heyan Huang, Guihua Wen:
S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions. AAAI 2017: 3244-3251
[c43]
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Linmei Hu, Juanzi Li, Liqiang Nie, Xiaoli Li, Chao Shao:
What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM. AAAI 2017: 3450-3456
[c42]
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  - conf/cvpr/ChenZXNSLC17
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Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Wei Liu, Tat-Seng Chua:
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning. CVPR 2017: 6298-6306
[c41]
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Lizi Liao, Xiangnan He, Zhaochun Ren, Liqiang Nie, Huan Xu, Tat-Seng Chua:
Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media. IJCAI 2017: 310-316
[c40]
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Zhiyong Cheng, Jialie Shen, Lei Zhu, Mohan S. Kankanhalli, Liqiang Nie:
Exploiting Music Play Sequence for Music Recommendation. IJCAI 2017: 3654-3660
[c39]
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  - conf/ijcai/ShenJNFZHC017
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  - https://dblp.org/rec/conf/ijcai/ShenJNFZHC017
Guangyao Shen, Jia Jia, Liqiang Nie, Fuli Feng, Cunjun Zhang, Tianrui Hu, Tat-Seng Chua, Wenwu Zhu:
Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution. IJCAI 2017: 3838-3844
[c38]
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Xuemeng Song, Fuli Feng, Jinhuan Liu, Zekun Li, Liqiang Nie, Jun Ma:
NeuroStylist: Neural Compatibility Modeling for Clothing Matching. ACM Multimedia 2017: 753-761
[c37]
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Meng Liu, Liqiang Nie, Meng Wang, Baoquan Chen:
Towards Micro-video Understanding by Joint Sequential-Sparse Modeling. ACM Multimedia 2017: 970-978
[c36]
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Liqiang Nie, Xiang Wang, Jianglong Zhang, Xiangnan He, Hanwang Zhang, Richang Hong, Qi Tian:
Enhancing Micro-video Understanding by Harnessing External Sounds. ACM Multimedia 2017: 1192-1200
[c35]
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Shaohua Li, Xinxing Xu, Liqiang Nie, Tat-Seng Chua:
Laplacian-Steered Neural Style Transfer. ACM Multimedia 2017: 1716-1724
[c34]
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Pengfei Zhang, Chuan-Xiang Li, Meng-Yuan Liu, Liqiang Nie, Xin-Shun Xu:
Semi-Relaxation Supervised Hashing for Cross-Modal Retrieval. ACM Multimedia 2017: 1762-1770
[c33]
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Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Item Silk Road: Recommending Items from Information Domains to Social Users. SIGIR 2017: 185-194
[c32]
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Jingyuan Chen, Hanwang Zhang, Xiangnan He, Liqiang Nie, Wei Liu, Tat-Seng Chua:
Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention. SIGIR 2017: 335-344
[c31]
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Fuli Feng, Liqiang Nie, Xiang Wang, Richang Hong, Tat-Seng Chua:
Computational Social Indicators: A Case Study of Chinese University Ranking. SIGIR 2017: 455-464
[c30]
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Da Cao, Liqiang Nie, Xiangnan He, Xiaochi Wei, Shunzhi Zhu, Tat-Seng Chua:
Embedding Factorization Models for Jointly Recommending Items and User Generated Lists. SIGIR 2017: 585-594
[c29]
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  - conf/sigir/ChengSNCK17
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Zhiyong Cheng, Jialie Shen, Liqiang Nie, Tat-Seng Chua, Mohan S. Kankanhalli:
Exploring User-Specific Information in Music Retrieval. SIGIR 2017: 655-664
[c28]
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Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua:
Neural Collaborative Filtering. WWW 2017: 173-182
[i7]
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Minnan Luo, Xiaojun Chang, Yi Yang, Liqiang Nie, Alexander G. Hauptmann, Qinghua Zheng:
Simple to Complex Cross-modal Learning to Rank. CoRR abs/1702.01229 (2017)
[i6]
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Dan Wang, Heyan Huang, Chi Lu, Bo-Si Feng, Liqiang Nie, Guihua Wen, Xianling Mao:
Supervised Deep Hashing for Hierarchical Labeled Data. CoRR abs/1704.02088 (2017)
[i5]
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Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Item Silk Road: Recommending Items from Information Domains to Social Users. CoRR abs/1706.03205 (2017)
[i4]
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Shaohua Li, Xinxing Xu, Liqiang Nie, Tat-Seng Chua:
Laplacian-Steered Neural Style Transfer. CoRR abs/1707.01253 (2017)
[i3]
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Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua:
Neural Collaborative Filtering. CoRR abs/1708.05031 (2017)
2016
[b1]
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Liqiang Nie, Xuemeng Song, Tat-Seng Chua:
Learning from Multiple Social Networks. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2016, ISBN 978-3-031-01172-6
[j29]
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Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua:
Towards organizing health knowledge on community-based health services. EURASIP J. Bioinform. Syst. Biol. 2016: 18 (2016)
[j28]
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Maofu Liu, Limin Wang, Liqiang Nie, Jianhua Dai, Donghong Ji:
Event graph based contradiction recognition from big data collection. Neurocomputing 181: 64-75 (2016)
[j27]
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Huijun Hu, Ya Liu, Maofu Liu, Liqiang Nie:
Surface defect classification in large-scale strip steel image collection via hybrid chromosome genetic algorithm. Neurocomputing 181: 86-95 (2016)
[j26]
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Ye Liu, Liqiang Nie, Li Liu, David S. Rosenblum:
From action to activity: Sensor-based activity recognition. Neurocomputing 181: 108-115 (2016)
[j25]
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Maofu Liu, Luming Zhang, Huijun Hu, Liqiang Nie, Jianhua Dai:
A classification model for semantic entailment recognition with feature combination. Neurocomputing 208: 127-135 (2016)
[j24]
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Jianglong Zhang, Xianglin Huang, Lifang Yang, Liqiang Nie:
Bridge the semantic gap between pop music acoustic feature and emotion: Build an interpretable model. Neurocomputing 208: 333-341 (2016)
[j23]
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  - journals/isci/WeiMNLLZSL16
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Wei Wei, Zhaoyan Ming, Liqiang Nie, Guohui Li, Jianjun Li, Feida Zhu, Tianfeng Shang, Changyin Luo:
Exploring heterogeneous features for query-focused summarization of categorized community answers. Inf. Sci. 330: 403-423 (2016)
[j22]
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Yuxing Hu, Liqiang Nie:
An aerial image recognition framework using discrimination and redundancy quality measure. J. Vis. Commun. Image Represent. 37: 53-62 (2016)
[j21]
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Maofu Liu, Ya Liu, Huijun Hu, Liqiang Nie:
Genetic algorithm and mathematical morphology based binarization method for strip steel defect image with non-uniform illumination. J. Vis. Commun. Image Represent. 37: 70-77 (2016)
[j20]
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Xiaocheng Xu, Jun Ma, Liqiang Nie:
Weakly supervised image parsing via label propagation over discriminatively semantic graph. J. Vis. Commun. Image Represent. 40: 808-815 (2016)
[j19]
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Shuhan Qi, Peiguang Jing, Xuan Wang, Liqiang Nie:
Quality biased multimedia data retrieval in microblogs. J. Vis. Commun. Image Represent. 40: 838-846 (2016)
[j18]
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  - journals/tase/ZhangHNH16
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Luming Zhang, Richang Hong, Liqiang Nie, Chaoqun Hong:
A Biologically Inspired Automatic System for Media Quality Assessment. IEEE Trans Autom. Sci. Eng. 13(2): 894-902 (2016)
[j17]
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Luming Zhang, Xuelong Li, Liqiang Nie, Yi Yang, Yingjie Xia:
Weakly Supervised Human Fixations Prediction. IEEE Trans. Cybern. 46(1): 258-269 (2016)
[j16]
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Liqiang Nie, Richang Hong, Luming Zhang, Yingjie Xia, Dacheng Tao, Nicu Sebe:
Perceptual Attributes Optimization for Multivideo Summarization. IEEE Trans. Cybern. 46(12): 2991-3003 (2016)
[j15]
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Yingjie Xia, Liqiang Nie, Luming Zhang, Yi Yang, Richang Hong, Xuelong Li:
Weakly Supervised Multilabel Clustering and its Applications in Computer Vision. IEEE Trans. Cybern. 46(12): 3220-3232 (2016)
[j14]
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Luming Zhang, Yang Yang, Meng Wang, Richang Hong, Liqiang Nie, Xuelong Li:
Detecting Densely Distributed Graph Patterns for Fine-Grained Image Categorization. IEEE Trans. Image Process. 25(2): 553-565 (2016)
[j13]
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Xuemeng Song, Zhaoyan Ming, Liqiang Nie, Yi-Liang Zhao, Tat-Seng Chua:
Volunteerism Tendency Prediction via Harvesting Multiple Social Networks. ACM Trans. Inf. Syst. 34(2): 10:1-10:27 (2016)
[j12]
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Luming Zhang, Xuelong Li, Liqiang Nie, Yan Yan, Roger Zimmermann:
Semantic Photo Retargeting Under Noisy Image Labels. ACM Trans. Multim. Comput. Commun. Appl. 12(3): 37:1-37:22 (2016)
[c27]
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Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua:
From Tweets to Wellness: Wellness Event Detection from Twitter Streams. AAAI 2016: 87-93
[c26]
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Yongpo Jia, Xuemeng Song, Jingbo Zhou, Li Liu, Liqiang Nie, David S. Rosenblum:
Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction. AAAI 2016: 165-171
[c25]
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Ye Liu, Luming Zhang, Liqiang Nie, Yan Yan, David S. Rosenblum:
Fortune Teller: Predicting Your Career Path. AAAI 2016: 201-207
[c24]
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  - conf/accv/0108YNZ0S16
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Wei Wang, Yan Yan, Liqiang Nie, Luming Zhang, Stefan Winkler, Nicu Sebe:
Sparse Code Filtering for Action Pattern Mining. ACCV (2) 2016: 3-18
[c23]
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Huijie Lin, Jia Jia, Liqiang Nie, Guangyao Shen, Tat-Seng Chua:
What Does Social Media Say about Your Stress?. IJCAI 2016: 3775-3781
[c22]
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Lei Zhu, Jialie Shen, Xiaobai Liu, Liang Xie, Liqiang Nie:
Learning Compact Visual Representation with Canonical Views for Robust Mobile Landmark Search. IJCAI 2016: 3959-3967
[c21]
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Jingyuan Chen, Xuemeng Song, Liqiang Nie, Xiang Wang, Hanwang Zhang, Tat-Seng Chua:
Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model. ACM Multimedia 2016: 898-907
[c20]
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Jianglong Zhang, Liqiang Nie, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua:
Shorter-is-Better: Venue Category Estimation from Micro-Video. ACM Multimedia 2016: 1415-1424
[c19]
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Yingjie Xia, Luming Zhang, Liqiang Nie, Wenjing Geng:
Utilizing Sensor-Social Cues to Localize Objects-of-Interest in Outdoor UGVs. MMM (1) 2016: 88-99
[c18]
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Jialie Shen, Liqiang Nie, Tat-Seng Chua:
Smart Ambient Sound Analysis via Structured Statistical Modeling. MMM (2) 2016: 231-243
[i2]
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Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum:
Action2Activity: Recognizing Complex Activities from Sensor Data. CoRR abs/1611.01872 (2016)
[i1]
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Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Tat-Seng Chua:
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning. CoRR abs/1611.05594 (2016)
2015
[j11]
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Mohammad Akbari, Liqiang Nie, Tat-Seng Chua:
aMM: Towards adaptive ranking of multi-modal documents. Int. J. Multim. Inf. Retr. 4(4): 233-245 (2015)
[j10]
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Jialie Shen, Robert H. Deng, Zhiyong Cheng, Liqiang Nie, Shuicheng Yan:
On robust image spam filtering via comprehensive visual modeling. Pattern Recognit. 48(10): 3227-3238 (2015)
[j9]
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Liqiang Nie, Yi-Liang Zhao, Mohammad Akbari, Jialie Shen, Tat-Seng Chua:
Bridging the Vocabulary Gap between Health Seekers and Healthcare Knowledge. IEEE Trans. Knowl. Data Eng. 27(2): 396-409 (2015)
[j8]
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Liqiang Nie, Meng Wang, Luming Zhang, Shuicheng Yan, Bo Zhang, Tat-Seng Chua:
Disease Inference from Health-Related Questions via Sparse Deep Learning. IEEE Trans. Knowl. Data Eng. 27(8): 2107-2119 (2015)
[j7]
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Xiangyu Wang, Yi-Liang Zhao, Liqiang Nie, Yue Gao, Weizhi Nie, Zheng-Jun Zha, Tat-Seng Chua:
Semantic-Based Location Recommendation With Multimodal Venue Semantics. IEEE Trans. Multim. 17(3): 409-419 (2015)
[j6]
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Luming Zhang, Meng Wang, Liqiang Nie, Liang Hong, Yong Rui, Qi Tian:
Retargeting Semantically-Rich Photos. IEEE Trans. Multim. 17(9): 1538-1549 (2015)
[c17]
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  - conf/ialp/LiuGN15
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Maofu Liu, Yifan Guo, Liqiang Nie:
Recognizing entailment in Chinese texts with feature combination. IALP 2015: 82-85
[c16]
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Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum:
Action2Activity: Recognizing Complex Activities from Sensor Data. IJCAI 2015: 1617-1623
[c15]
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Xuemeng Song, Liqiang Nie, Luming Zhang, Maofu Liu, Tat-Seng Chua:
Interest Inference via Structure-Constrained Multi-Source Multi-Task Learning. IJCAI 2015: 2371-2377
[c14]
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Lei Meng, Ah-Hwee Tan, Cyril Leung, Liqiang Nie, Tat-Seng Chua, Chunyan Miao:
Online Multimodal Co-indexing and Retrieval of Weakly Labeled Web Image Collections. ICMR 2015: 219-226
[c13]
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Aleksandr Farseev, Liqiang Nie, Mohammad Akbari, Tat-Seng Chua:
Harvesting Multiple Sources for User Profile Learning: a Big Data Study. ICMR 2015: 235-242
[c12]
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Luming Zhang, Meng Wang, Liqiang Nie, Richang Hong, Yingjie Xia, Roger Zimmermann:
Biologically Inspired Media Quality Modeling. ACM Multimedia 2015: 491-500
[c11]
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Liqiang Nie, Luming Zhang, Yi Yang, Meng Wang, Richang Hong, Tat-Seng Chua:
Beyond Doctors: Future Health Prediction from Multimedia and Multimodal Observations. ACM Multimedia 2015: 591-600
[c10]
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Maofu Liu, Limin Wang, Liqiang Nie:
Weibo-Oriented Chinese News Summarization via Multi-feature Combination. NLPCC 2015: 581-589
[c9]
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Xuemeng Song, Liqiang Nie, Luming Zhang, Mohammad Akbari, Tat-Seng Chua:
Multiple Social Network Learning and Its Application in Volunteerism Tendency Prediction. SIGIR 2015: 213-222
2014
[j5]
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Yi-Liang Zhao, Liqiang Nie, Xiangyu Wang, Tat-Seng Chua:
Personalized Recommendations of Locally Interesting Venues to Tourists via Cross-Region Community Matching. ACM Trans. Intell. Syst. Technol. 5(3): 50:1-50:26 (2014)
[j4]
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Liqiang Nie, Yi-Liang Zhao, Xiangyu Wang, Jialie Shen, Tat-Seng Chua:
Learning to Recommend Descriptive Tags for Questions in Social Forums. ACM Trans. Inf. Syst. 32(1): 5:1-5:23 (2014)
[c8]
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Liqiang Nie, Mohammad Akbari, Tao Li, Tat-Seng Chua:
A Joint Local-Global Approach for Medical Terminology Assignment. MedIR@SIGIR 2014: 24-27
[c7]
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Liqiang Nie, Tao Li, Mohammad Akbari, Jialie Shen, Tat-Seng Chua:
WenZher: comprehensive vertical search for healthcare domain. SIGIR 2014: 1245-1246
2013
[j3]
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Liqiang Nie, Meng Wang, Yue Gao, Zheng-Jun Zha, Tat-Seng Chua:
Beyond Text QA: Multimedia Answer Generation by Harvesting Web Information. IEEE Trans. Multim. 15(2): 426-441 (2013)
2012
[j2]
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Richang Hong, Meng Wang, Guangda Li, Liqiang Nie, Zheng-Jun Zha, Tat-Seng Chua:
Multimedia Question Answering. IEEE Multim. 19(4): 72-78 (2012)
[j1]
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Liqiang Nie, Meng Wang, Zheng-Jun Zha, Tat-Seng Chua:
Oracle in Image Search: A Content-Based Approach to Performance Prediction. ACM Trans. Inf. Syst. 30(2): 13:1-13:23 (2012)
[c6]
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Yan Chen, Zhoujun Li, Liqiang Nie, Xia Hu, Xiangyu Wang, Tat-Seng Chua, Xiaoming Zhang:
A Semi-Supervised Bayesian Network Model for Microblog Topic Classification. COLING 2012: 561-576
[c5]
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Weinan Zhang, Zhaoyan Ming, Yu Zhang, Liqiang Nie, Ting Liu, Tat-Seng Chua:
The Use of Dependency Relation Graph to Enhance the Term Weighting in Question Retrieval. COLING 2012: 3105-3120
[c4]
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Liqiang Nie, Shuicheng Yan, Meng Wang, Richang Hong, Tat-Seng Chua:
Harvesting visual concepts for image search with complex queries. ACM Multimedia 2012: 59-68
2011
[c3]
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Liqiang Nie, Meng Wang, Zheng-Jun Zha, Guangda Li, Tat-Seng Chua:
Multimedia answering: enriching text QA with media information. SIGIR 2011: 695-704
2010
[c2]
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Richang Hong, Guangda Li, Liqiang Nie, Jinhui Tang, Tat-Seng Chua:
Exploring large scale data for multimedia QA: an initial study. CIVR 2010: 74-81
[c1]
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Xiangyu Chen, Jin Yuan, Liqiang Nie, Zheng-Jun Zha, Shuicheng Yan, Tat-Seng Chua:
TRECVID 2010 Known-item Search by NUS. TRECVID 2010

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