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, Continual Learning, Granular Computing, Federated Learning, Clustering Analysis, Unsupervised Representation Learning, and Large Model Evaluation and Safety. 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.