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Linlin Zong
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2020 – today
- 2024
- [j17]Linlin Zong, Jinglin Zhang, Jiahui Zhou, Xianchao Zhang, Bo Xu
:
Emotion-cause pair extraction via knowledge-driven multi-classification and graph-based position embedding. Appl. Intell. 54(3): 2703-2715 (2024) - [j16]Linlin Zong
Self-Supervised Deep Multiview Spectral Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4299-4308 (2024) - [c30]Linlin Zong, Jiahui Wan, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu:
Video-Context Aligned Transformer for Video Question Answering. AAAI 2024: 19795-19803 - [c29]Linlin Zong, Jiahui Zhou, Wenmin Lin, Xinyue Liu, Xianchao Zhang, Bo Xu:
Unveiling Opinion Evolution via Prompting and Diffusion for Short Video Fake News Detection. ACL (Findings) 2024: 10817-10826 - [c28]Linlin Zong, Zhenrong Xie, Chi Ma, Xinyue Liu, Xianchao Zhang, Bo Xu:
RENN: A Rule Embedding Enhanced Neural Network Framework for Temporal Knowledge Graph Completion. LREC/COLING 2024: 13919-13928 - [c27]Xinyue Liu, Jianan Zhang, Chi Ma, Wenxin Liang, Bo Xu, Linlin Zong:
Temporal Knowledge Graph Reasoning with Dynamic Hypergraph Embedding. LREC/COLING 2024: 15742-15751 - [c26]Guanglu Wang, Xianchao Zhang, Han Liu, Xiaotong Zhang, Jie Mu, Wentao Yang, Linlin Zong:
Continual Learning with Class-Level Minimally Interfered Update. ICASSP 2024: 7460-7464 - [c25]Guanglu Wang, Xinyue Liu, Wenxin Liang, Linlin Zong, Xianchao Zhang:
Online Class-incremental Continual Learning with Maximum Entropy Memory Update. IJCNN 2024: 1-8 - [c24]Erchen Yu, Junlong Wang, Xuening Qiao, Jiewei Qi, Zhaoqing Li, Hongfei Lin, Linlin Zong, Bo Xu:
DUTIR938 at SemEval-2024 Task 4: Semi-Supervised Learning and Model Ensemble for Persuasion Techniques Detection in Memes. SemEval@NAACL 2024: 642-648 - 2023
- [j15]Zhuang Shao, Jiahui Wan, Linlin Zong:
A Video Question Answering Model Based on Knowledge Distillation. Inf. 14(6): 328 (2023) - [j14]Junyu Lu
Hate Speech Detection via Dual Contrastive Learning. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2787-2795 (2023) - [c23]Linlin Zong, Jian Zheng, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu:
An Early Depression Detection Model on Social Media using Emotional and Causal Features. BIBM 2023: 4856-4858 - [c22]Junlong Wang, Yongqi Leng, Xinyu Zhai, Linlin Zong, Hongfei Lin, Bo Xu:
Adversarial Training and Model Ensemble for User Feedback Prediciton in Conversation System. NLPCC (3) 2023: 366-375 - [c21]Xianchao Zhang, Mengyan Chen, Jie Mu, Linlin Zong:
Adaptive View-Aligned and Feature Augmentation Network for Partially View-Aligned Clustering. PAKDD (1) 2023: 223-235 - [i2]Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma, Bo Xu:
Hate Speech Detection via Dual Contrastive Learning. CoRR abs/2307.05578 (2023) - 2022
- [j13]Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang, Linlin Zong, Guanglu Wang:
Graph Clustering With Graph Capsule Network. Neural Comput. 34(5): 1256-1287 (2022) - [j12]Xianchao Zhang, Jie Mu, Xiaotong Zhang, Han Liu, Linlin Zong, Yuangang Li
Deep anomaly detection with self-supervised learning and adversarial training. Pattern Recognit. 121: 108234 (2022) - [c20]Bo Xu, Hongtong Zhang, Jian Wang, Xiaokun Zhang, Dezhi Hao, Linlin Zong, Hongfei Lin, Fenglong Ma:
RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips. COLING 2022: 3342-3352 - [c19]Taosong Fang, Bo Xu, Linlin Zong:
Emotion-Enhanced Multi-Modal Persuasive Techniques Detection Using Split Features. FSDM 2022: 172-180 - 2021
- [j11]Linlin Zong, Faqiang Miao, Xianchao Zhang, Xinyue Liu, Hong Yu:
Incomplete multi-view clustering with partially mapped instances and clusters. Knowl. Based Syst. 212: 106615 (2021) - [c18]Fan Yang, Wenxin Liang, Linlin Zong:
Attribute Network Alignment Based on Network Embedding. ICCDE 2021: 75-80 - [c17]Beilei Cui, Hong Yu, Linlin Zong, Ziyang Cheng:
Self-Guided Deep Multi-View Subspace Clustering Network. ICME 2021: 1-6 - [c16]Yi Cui, Xianchao Zhang, Linlin Zong, Jie Mu:
Maintaining Consistency with Constraints: A Constrained Deep Clustering Method. PAKDD (2) 2021: 219-230 - [c15]Linlin Zong, Qiujie Xie, Jiahui Zhou, Peiran Wu, Xianchao Zhang, Bo Xu:
FedCMR: Federated Cross-Modal Retrieval. SIGIR 2021: 1672-1676 - 2020
- [j10]Qianli Zhao
A Multimodal Clustering Framework With Cross Reconstruction Autoencoders. IEEE Access 8: 218433-218443 (2020) - [j9]Qianli Zhao, Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu:
Incomplete multi-view spectral clustering. J. Intell. Fuzzy Syst. 38(3): 2991-3001 (2020) - [j8]Qianli Zhao, Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu:
Multi-view clustering via clusterwise weights learning. Knowl. Based Syst. 193: 105459 (2020) - [j7]Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu:
Multi-view clustering on data with partial instances and clusters. Neural Networks 129: 19-30 (2020) - [c14]Linlin Zong, Faqiang Miao, Xianchao Zhang, Bo Xu:
Multimodal Clustering via Deep Commonness and Uniqueness Mining. CIKM 2020: 2357-2360 - [c13]Xinyue Liu, Pengxin Liu, Linlin Zong:
Transductive Prototypical Network For Few-Shot Classification. ICIP 2020: 1671-1675 - [c12]Xianchao Zhang, Jie Mu, Linlin Zong, Xiaochun Yang:
End-To-End Deep Multimodal Clustering. ICME 2020: 1-6 - [c11]Xinyue Liu, Shichong Yang, Linlin Zong:
Constrained Spectral Clustering Network with Self-Training. ICPR 2020: 2861-2866 - [c10]Xianchao Zhang, Xiaorui Tang, Linlin Zong, Xinyue Liu, Jie Mu:
Deep Multimodal Clustering with Cross Reconstruction. PAKDD (1) 2020: 305-317
2010 – 2019
- 2019
- [c9]Hao Wang, Linlin Zong
Spectral Perturbation Meets Incomplete Multi-view Data. IJCAI 2019: 3677-3683 - [c8]Xianchao Zhang, Peixu Gao, Maohua Sun, Linlin Zong, Bo Xu:
Protein Complexes Detection Based on Deep Neural Network. PAKDD (Workshops) 2019: 164-178 - [c7]Xianchao Zhang, Jinlong Nie, Linlin Zong, Hong Yu, Wenxin Liang:
One Shot Learning with Margin. PAKDD (2) 2019: 305-317 - [i1]Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou:
Spectral Perturbation Meets Incomplete Multi-view Data. CoRR abs/1906.00098 (2019) - 2018
- [j6]Linlin Zong
Multi-view clustering on unmapped data via constrained non-negative matrix factorization. Neural Networks 108: 155-171 (2018) - [c6]Linlin Zong
Weighted Multi-View Spectral Clustering Based on Spectral Perturbation. AAAI 2018: 4621-4629 - 2017
- [j5]Hua Shen, Fenglong Ma, Xianchao Zhang, Linlin Zong
Discovering social spammers from multiple views. Neurocomputing 225: 49-57 (2017) - [j4]Linlin Zong
Multi-view clustering via multi-manifold regularized non-negative matrix factorization. Neural Networks 88: 74-89 (2017) - [c5]Hong Yu, Yahong Lian
Self-Paced Learning Based Multi-view Spectral Clustering. ICTAI 2017: 6-10 - 2016
- [j3]Linlin Zong
Local linear neighbor reconstruction for multi-view data. Pattern Recognit. Lett. 84: 56-62 (2016) - [j2]Xianchao Zhang, Linlin Zong
Sampling for Nyström Extension-Based Spectral Clustering: Incremental Perspective and Novel Analysis. ACM Trans. Knowl. Discov. Data 11(1): 7:1-7:25 (2016) - [j1]Xianchao Zhang, Linlin Zong
Constrained Clustering With Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 27(7): 1514-1526 (2016) - [c4]Xianchao Zhang, Haixin Li, Wenxin Liang, Linlin Zong, Xinyue Liu:
Heterogeneous Information Networks Bi-clustering with Similarity Regularization. PAISI 2016: 19-30 - 2015
- [c3]Xianchao Zhang, Linlin Zong
Constrained NMF-Based Multi-View Clustering on Unmapped Data. AAAI 2015: 3174-3180 - 2014
- [c2]Xianchao Zhang, Long Zhao, Linlin Zong
Multi-view Clustering via Multi-manifold Regularized Nonnegative Matrix Factorization. ICDM 2014: 1103-1108 - 2011
- [c1]Xinyue Liu, Linlin Zong
Active Semi-supervised Spectral Clustering. PAAP 2011: 95-99
Coauthor Index
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last updated on 2024-09-26 01:01 CEST by the dblp team
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