Brief Bio

Associate research fellow and master supervisor, School of Computer and Artificial Intelligence, Zhengzhou University (ZZU), Zhengzhou, Henan, China.

My research interests include:
(1) Information Bottleneck Theory,
(2) Multi-view/Multi-modal Learning,
(3) Trustworthy Analysis,
(4) Clustering Analysis,
(5) Deep Learning,
(6) Unsupervised Representation Learning,
(7) Some Other Related Topics.

Please drop me a message if you have interests with me by email: ieshizhehu@zzu.edu.cn or ieshizhehu@gmail.com.

Also you can contact me with WeChat ID (微信号): hushizhe_zzu.

DBLP: [DBLP]
Google Scholar: [Google Scholar]

Representative Work

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. [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)
3. [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)
4. [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)
5. [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)
6. [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)
7. [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)
8. [IJCAI'24] Zhengzheng Lou#, Chaoyang Zhang#, Hang Xue, Yangdong Ye, Qinglei Zhou, Shizhe Hu*: Self-supervised Weighted Information Bottleneck for Multi-view Clustering. In the 33rd International Joint Conference on Artificial Intelligence (IJCAI), Aug. 2024. (CCF Rank A, # denotes co-first author, * denotes the corresponding author) [PDF]
9. [ACM MM'24] Guoliang Zou#, Yangdong Ye#, Tongji Chen, Shizhe Hu*: Learning Dual Enhanced Representation for Contrastive Multi-view Clustering. ACM Multimedia (ACM MM), Oct. 2024. (CCF Rank A, # denotes co-first author, * denotes the corresponding author) [PDF] [Code]
10. [ACM MM'22] Shizhe Hu, Ruilin Geng, Zhaoxu Cheng, Chaoyang Zhang, Guoliang Zou, Zhengzheng Lou, Yangdong Ye: A Parameter-free Multi-view Information Bottleneck Clustering Method by Cross-view Weighting. ACM MM Oct. 2022 . [PDF] [PPT] [Poster] [Video Presentation] (CCF Rank A)
11. [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)
12. [PR] Shizhe Hu, Xiaoqiang Yan, Yangdong Ye: Dynamic Auto-weighted Multi-view Co-clustering. Pattern Recognition (PR) (99), Mar. 2020. [PDF] (CCF Rank B)
13. [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)