Brief Bio

Dr. Shizhe Hu is currently a research fellow affiliated with the School of Computer Science and Artificial Intelligence at Zhengzhou University. His primary research interests focus on Information Bottleneck Theory, Multi-view/Multi-modal Learning, Trustworthy Analysis, Clustering Analysis, Unsupervised Representation Learning. He obtained the Ph.D degree of Software Engineering from Zhengzhou University in 2021. He has published more than 20 papers on the TOP journals and conferences, such as IEEE TPAMI, TIP, TKDE, TNNLS, TCYB, Pattern Recognition, ICML, AAAI, IJCAI and ACM MM. In addition, He is the member of Editorial Board of the Journal 《Information Processing and Management》, and the Area Chair of ICLR’26. He served as the reviewer of more than 30 international journals and conferences, including IEEE TPAMI, TNNLS, TIP, ICML, NeurIPS, AAAI, IJCAI, CVPR, ACM MM, etc.

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

(# denotes co-first author, * denotes the corresponding author)

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] [Popular Articles in Jul. 2024] (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. [TIP] Zhengzheng Lou, Hang Xue, Yanzheng Wang, Chaoyang Zhang, Xin Yang, and Shizhe Hu*: Parameter-free Deep Multi-modal Clustering with Reliable Contrastive Learning . IEEE Transactions on Image Processing (TIP), 34: 2628-2640, Apr. 2025. [PDF] (CCF Rank A)
5. [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)
6. [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)
7. [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), 36(2): 3646-3658, Feb. 2025. [PDF] [Code] (CCF Rank B)
8. [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)
9. [ICML'25] Zhengzheng Lou, Hang Xue, Chaoyang Zhang, Shizhe Hu*: A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method. Forty-second International Conference on Machine Learning (ICML), May. 2025. (CCF Rank A) [PDF]
10. [ICML'25] Zhengzheng Lou, Ke Zhang, Yucong Wu, Shizhe Hu*: Super Deep Contrastive Information Bottleneck for Multi-modal Clustering. Forty-second International Conference on Machine Learning (ICML), May. 2025. (CCF Rank A) [PDF] [Code]
11. [AAAI'25] Shizhe Hu, Jiahao Fan, Guoliang Zou*, Yangdong Ye*: Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering. AAAI Conference on Artificial Intelligence (AAAI), 39(16), 17314-17322, April. 2025. (CCF Rank A) [PDF] [Code]
12. [AAAI'25] Shizhe Hu, Binyan Tian, Weibo Liu, Yangdong Ye*: Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined. AAAI Conference on Artificial Intelligence (AAAI), 39(16), 17305-17313, April. 2025.(CCF Rank A) [PDF] [Code]
13. [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) [PDF]
14. [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) [PDF] [Code]
15. [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)
16. [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)
17. [PR] Shizhe Hu, Xiaoqiang Yan, Yangdong Ye*: Dynamic Auto-weighted Multi-view Co-clustering. Pattern Recognition (PR) (99), Mar. 2020. [PDF] (CCF Rank B)
18. [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 T1)