Selected Journal Papers

2024

1. [TPAMI] Shizhe Hu, Zhengzheng Lou, Xiaoqiang Yan, and Yangdong Ye: A Survey on Information Bottleneck . IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 46(8): 5325-5344, Aug. 2024. [PDF] [Poster_ChineseVersion] [Github] (CCF Rank A)
2. [TNNLS] Shizhe Hu, Zenglin Shi, Xiaoqiang Yan, Zhengzheng Lou, and Yangdong Ye: Multiview Clustering with Propagating Information Bottleneck. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 35(7): 9915-9929, Jul. 2024. [PDF] (CCF Rank B)
3. [TNNLS] Shizhe Hu, Chengkun Zhang, Guoliang Zou, Zhengzheng Lou, and Yangdong Ye: Deep Multi-view Clustering by Pseudo-label Guided Contrastive Learning and Dual Correlation Learning . IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Accepted, 2024. [PDF] [Code] (CCF Rank B)
4. [IPM] Chaoyang Zhang, Hang Xue, Kai Nie, Xihui Wu, Zhengzheng Lou, Shouyi Yang, Qinglei Zhou, Shizhe Hu*: Nice to Meet Images with Big Clusters and Features: A Cluster-weighted Multi-modal Co-clustering Method . Information Processing and Management ( IPM ), 61(5): 103735, Sept. 2024. [PDF] (CCF Rank B)
5. [PR] Yiqiao Mao, Xiaoqiang Yan, Shizhe Hu, Yangdong Ye: Contrastive cross-modal clustering with twin network . Pattern Recognition ( PR ), Accepted, 2024. [PDF] (CCF Rank B)
6. [计算机学报] 张明明，闫小强，孙中川，胡世哲, 叶阳东: 自监督流形结构的第一视角视频时序分割算法 . 计算机学报. 2024. [PDF] (CCF Rank A)

2023

1. [TIP] Chaoyang Zhang, Zhengzheng Lou, Qinglei Zhou, and Shizhe Hu*: Multi-View Clustering via Triplex Information Maximization. IEEE Transactions on Image Processing (TIP), 32: 4299-4313, Jul. 2023. [PDF] (CCF Rank A)
2. [IPM] Shizhe Hu, Guoliang Zou, Chaoyang Zhang, Zhengzheng Lou, Ruilin Geng, and Yangdong Ye: Joint Contrastive Triple-learning for Deep Multi-view Clustering. Information Processing and Management (IPM), 60(3):103284, May. 2023. [PDF] [Code] [Highly Cited Paper] (CCF Rank B)
3. [TSMC-S] Zhongchuan Sun, Bin Wu, Shizhe Hu, Mingming Zhang, and Yangdong Ye: Attentive Adversarial Collaborative Filtering. IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), Accepted, 2023. [PDF] (CCF Rank B)
4. [NCA] Changming Zhu, Jiyun Zhao, Shizhe Hu, Yilin Dong, Lei Cao, Fan Zhou, Yuhu Shi, Lai Wei, Rigui Zhou: A simple multiple-fold correlation-based multi-view multi-label learning. Neural Comput. Appl.  (NCA), 35(14): 10407-10420, 2023. [PDF] (CCF Rank C)
5. [EAAI] Mingming Zhang, Dong liu, Shizhe Hu, Xiaoqiang Yan, Zhongchuan Sun, and Yangdong Ye: Self-Supervised Temporal Autoencoder for Egocentric Action Segmentation. Engineering Applications of Artificial Intelligence (EAAI), Accepted, 2023. (SCI Q2)
6. [IPM] Youwei Wang, Ying Wang, Zhongchuan Sun, Yinghao Li, Shizhe Hu, and Yangdong Ye: Deep Purified Feature Mining Model for Joint Named Entity Recognition and Relation Extraction. Information Processing and Management (IPM), Accepted, 2023. [PDF] (CCF Rank B)

2022

1. [TIP] Shizhe Hu, Zhengzheng Lou, and Yangdong Ye: View-wise Versus Cluster-wise Weight: Which Is Better for Multi-view Clustering?. IEEE Transactions on Image Processing (TIP) 31: 58-71, Jan. 2022. [PDF] (CCF Rank A)
2. [TCYB] Shizhe Hu, Zenglin Shi, Yangdong Ye: DMIB: Dual-correlated Multivariate Information Bottleneck for Multi-view Clustering. IEEE Transactions on Cybernetics (TCYB) 52(6): 4260-4274, Jun. 2022. [PDF] (CCF Rank B)

2021

1. [TKDE] Shizhe Hu, Xiaoqiang Yan, Yangdong Ye: Multi-task Image Clustering through Correlation Propagation. IEEE Transactions on Knowledge and Data Engineering (TKDE) . 33(3): 1113-1127, Mar. 2021. [PDF] (CCF Rank A)
2. [ESWA] Shizhe Hu, Bo Wang, Zhengzheng Lou, Yangdong Ye: Multi-view Content-Context Information Bottleneck for Image Clustering. Expert Systems With Applications (ESWA) 183:115374, Nov. 2021. [PDF] (SCI Q1)
3. [ASC] Shizhe Hu, Ruobin Wang, and Yangdong Ye: Interactive Information Bottleneck for High-dimensional Co-occurrence Data Clustering. Applied Soft Computing 111: 107837, Nov. 2021. [PDF] (SCI Q1)
4. [Neurocomputing] Xiaoqiang Yan, Shizhe Hu, Yiqiao Mao, Yangdong Ye, and Hui Yu: Deep Multi-view Learning Methods: A Review. Neurocomputing 448: 106-129, 2021. [PDF] (SCI Q2)
5. [KBS] Qiang Guo, Xin Zeng, Shizhe Hu, Sonephet Phoummixay and Yangdong Ye: Learning a Deep Network with Cross-hierarchy Aggregation for Crowd Counting . Knowledge-Based Systems (KBS) (213) 2021. [PDF] (SCI Q1)

2020

1. [计算机学报] 胡世哲, 娄铮铮，王若彬，闫小强，叶阳东: 一种双重加权的多视角聚类方法 . 计算机学报. 43(9), 1708-1720, Sep. 2020. [PDF] (CCF Rank A)
2. [PR] Shizhe Hu, Xiaoqiang Yan, Yangdong Ye: Dynamic Auto-weighted Multi-view Co-clustering. Pattern Recognition (PR) (99) Mar. 2020.[PDF] (CCF Rank B)
3. [InfSci] Shizhe Hu, Xiaoqiang Yan, Yangdong Ye: Joint Specific and Correlated Information Exploration for Multi-view Action Clustering. Information Sciences 524: 148-164, Jul. 2020. [PDF] (CCF Rank B)
4. [TKDD] Xiaoqiang Yan, Zhengzheng Lou, Shizhe Hu, Yangdong Ye: Multi-task information bottleneck co-clustering for unsupervised cross-view human action categorization. ACM Transactions on Knowledge Discovery from Data (ACM TKDD) 14(2):1-23, 2020. [PDF] (CCF Rank B)
5. [ESWA] Xin Zeng, Yunpeng Wu, Shizhe Hu, Ruobin Wang and Yangdong Ye: DSPNet: Deep Scale Purifier Network for Dense Crowd Counting. Expert Systems With Applications (ESWA) (141) 2020. [PDF] (SCI Q1)
6. [ASC] Mingming Zhang, Xiaoqiang Yan, Shizhe Hu, Yangdong Ye: An Information Maximization Multi-task Clustering Method for Egocentric Temporal Segmentation. Applied Soft Computing (ASC) (94) 2020. [PDF] (SCI Q2)