Zhengzhou University, China
Dr. Shizhe Hu received his Ph.D. and B.E. degree in Software Engineering from Zhengzhou University, China in 2021 and 2015, respectively. He is currently an associate research fellow with the School of Computer and Artificial Intelligence at Zhengzhou University. His main research interests include information theory, computer vision, and pattern recognition. His significant academic contributions can be summarized by his original work in information bottleneck (IB) theory on multi-view and multi-task clustering and applications. He has published several papers in peer-reviewed prestigious journals and conferences, such as IEEE TIP, IEEE TKDE, IEEE TCYB, ACM TKDD, Pattern Recognition, Information Sciences, IEEE CVPR, and IEEE ICASSP. He serves as the Reviewer for the CVPR-2022, AAAI-2021/2022, IJCAI-2022, CCDM-2022, PRCV-2022, PRAI-2022, IEEE TKDE and IEEE TNNLS. He is the member of CCF and IEEE.