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Huaishao Luo
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2020 – today
- 2023
- [c10]Huaishao Luo, Junwei Bao, Youzheng Wu, Xiaodong He, Tianrui Li:
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation. ICML 2023: 23033-23044 - 2022
- [j3]Huaishao Luo, Lei Ji, Ming Zhong, Yang Chen, Wen Lei, Nan Duan, Tianrui Li:
CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning. Neurocomputing 508: 293-304 (2022) - [c9]Haoning Zhang, Junwei Bao, Haipeng Sun, Huaishao Luo, Wenye Li, Shuguang Cui:
CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking. AACL/IJCNLP (2) 2022: 302-310 - [i12]Haoning Zhang, Junwei Bao, Haipeng Sun, Huaishao Luo, Wenye Li, Shuguang Cui:
CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking. CoRR abs/2210.05146 (2022) - [i11]Huaishao Luo, Junwei Bao, Youzheng Wu, Xiaodong He, Tianrui Li:
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation. CoRR abs/2211.14813 (2022) - 2021
- [j2]Lisha Chen, Tianrui Li, Huaishao Luo, Chengfeng Yin:
Interactive Attention-Based Convolutional GRU for Aspect Level Sentiment Analysis. Hum. Centric Intell. Syst. 1(1-2): 25 (2021) - [c8]Rong-Cheng Tu, Lei Ji, Huaishao Luo, Botian Shi, Heyan Huang, Nan Duan, Xian-Ling Mao:
Hashing based Efficient Inference for Image-Text Matching. ACL/IJCNLP (Findings) 2021: 743-752 - [c7]Kun Yan, Lei Ji, Huaishao Luo, Ming Zhou, Nan Duan, Shuai Ma:
Control Image Captioning Spatially and Temporally. ACL/IJCNLP (1) 2021: 2014-2025 - [c6]Lin Su, Nan Duan, Edward Cui, Lei Ji, Chenfei Wu, Huaishao Luo, Yongfei Liu, Ming Zhong, Taroon Bharti, Arun Sacheti:
GEM: A General Evaluation Benchmark for Multimodal Tasks. ACL/IJCNLP (Findings) 2021: 2594-2603 - [i10]Huaishao Luo, Lei Ji, Ming Zhong, Yang Chen, Wen Lei, Nan Duan, Tianrui Li:
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval. CoRR abs/2104.08860 (2021) - [i9]Lin Su, Nan Duan, Edward Cui, Lei Ji, Chenfei Wu, Huaishao Luo, Yongfei Liu, Ming Zhong, Taroon Bharti, Arun Sacheti:
GEM: A General Evaluation Benchmark for Multimodal Tasks. CoRR abs/2106.09889 (2021) - [i8]Huaishao Luo, Lei Ji, Yanyong Huang, Bin Wang, Shenggong Ji, Tianrui Li:
ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors. CoRR abs/2112.01368 (2021) - 2020
- [c5]Huaishao Luo, Lei Ji, Tianrui Li, Daxin Jiang, Nan Duan:
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis. EMNLP (Findings) 2020: 54-64 - [c4]Huaishao Luo, Yu Shi, Ming Gong, Linjun Shou, Tianrui Li:
MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension. AACL/IJCNLP 2020: 687-695 - [i7]Huaishao Luo, Lei Ji, Botian Shi, Haoyang Huang, Nan Duan, Tianrui Li, Xilin Chen, Ming Zhou:
UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation. CoRR abs/2002.06353 (2020) - [i6]Huaishao Luo, Chuishi Meng, Bowen Wu, Junbo Zhang, Tianrui Li, Yu Zheng:
ReAD: A Regional Anomaly Detection Framework Based on Dynamic Partition. CoRR abs/2007.06794 (2020) - [i5]Huaishao Luo, Lei Ji, Tianrui Li, Nan Duan, Daxin Jiang:
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis. CoRR abs/2009.10557 (2020) - [i4]Huaishao Luo, Yu Shi, Ming Gong, Linjun Shou, Tianrui Li:
MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension. CoRR abs/2009.14348 (2020)
2010 – 2019
- 2019
- [j1]Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger:
Improving Aspect Term Extraction With Bidirectional Dependency Tree Representation. IEEE ACM Trans. Audio Speech Lang. Process. 27(7): 1201-1212 (2019) - [c3]Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. ACL (1) 2019: 591-601 - [c2]Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng, Guangquan Zhang:
Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting. KDD 2019: 2087-2095 - [i3]Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. CoRR abs/1906.01794 (2019) - 2018
- [i2]Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger:
Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation. CoRR abs/1805.07889 (2018) - [i1]Bin Wang, Zheng Yan, Huaishao Luo, Tianrui Li, Jie Lu, Guangquan Zhang:
Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting. CoRR abs/1812.09467 (2018) - 2017
- [c1]Bin Wang, Tianrui Li, Yanyong Huang, Huaishao Luo, Dongming Guo, Shi-Jinn Horng:
Diverse activation functions in deep learning. ISKE 2017: 1-6
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