
Kai ZHAO
Associate Professor, Shanghai University
Dr. Kai Zhao is an Associate Professor in the School of Communication and Information Engineering, Shanghai University. Before joining SHU, he conducted postdoctoral research at David Geffen School of Medicine, University of California, Los Angeles, working on Medical Image Analysis with Prof. Kyung Hyun Sung. Before that, Dr. Zhao was a senior research scientist at Tencent Youtu lab. Dr. Zhao received his Ph.D from Nankai University in 2020, under the supervision of Prof. Ming-ming Cheng. Earlier, he spent 7 wonderful years in Shanghai University where he got BS and MS degrees in 2014 and 2017, respectively, under the supervision of Wei Shen (now professor at Shanghai Jiaotong University).
Dr. Zhao's research interests broadly lie at the intersection of machine learning , computer vision , and medical image analysis . He co-authored over 40 research papers on top-tier venues in the field of AI and computer vision, with over 6,000 citations on Google Scholar. His research on palmprint recognition was highlighted by MIT technology review, and applied to WeChat palm payment. He was an active contributor to open-source projects such as PyTorch and mmdetection.
Professional Experience
Aug 2025 ~
Associate Professor
Shanghai University
Mar 2022 ~ Jul 2025
Postdoctoral Researcher
UCLA, Los Angeles, USA
Oct 2020 ~ Feb 2022
Senior Research Scientist
Tencent Youtu Lab, Shanghai
Sep 2018 ~ Jan 2019
Research Intern
Panasonic R&D Center, Singapore
Sep 2017 ~ Jun 2020
Ph.D. in Computer Science
Nankai University, Tianjin
Jul 2016 ~ Nov 2016
Research Intern
Tencent Youtu Lab, Shanghai
Sep 2014 ~ Jun 2017
M.S. in Electronic Engineering
Shanghai University
Sep 2010 ~ Jun 2014
B.S. in Electronic Engineering
Shanghai University
Publications
The list is generated from publications.bib. Please visit my Google Scholar for full publication list.
Academic Services
- Conference reviewer for: CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS, AISTAT, ACCV.
- Journal reviewer for: IEEE Transactions on Image Processing, Medical Imaging, Pattern Analysis and Machine Intelligence, Multimedia, as well as Pattern Recognition.
- Guest Editor: MDPI Diagnostics.
