Academic Qualification
Ph.D. in Institute of Automation, Chinese Academy of Sciences
Bachelor in University of Science & Technology of China
Research Area
AI Fundamental
Scene Perception/Understanding (Detection, Alignment, Recognition, Reasoning)
Biometrics
Pattern Recognition
Computer Vision
Professional Services
Associate Editor, IEEE Transactions on Mobile Computing, since 2021
Associate Editor, IET Communications, since 2021
Working Experience
Sep. 2024 ~ present, Distinguished Guest Professor, School of Computer Science and Engineering, Faculty of Innovation Engineering, MUST
June 2022 ~ present, Professor, Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences
2022 ~ present, Professor, State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences
2018~2022, Professor, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
2013~2018, Associate Professor, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
2011~2013, Assistant Professor, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
2010~2011, Staff Researcher, IBM Research-China, Analytics and Optimization Dept.
Academic Publication (selected)
1. Xiangyu Zhu, Chang Yu, Di Huang, Zhen Lei, Hao Wang, Stan Z. Li, “Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape”, IEEE Transaction on Pattern Analysis and Machine Intelligence, 45(2), 1442-1457, 01 February 2023.
2. Weisong Zhao, Xiangyu Zhu, Kaiwen Guo, Haichao Shi, Xiao-Yu Zhang, Zhen Lei, “Masked Face Transformer”, IEEE Transactions on Information Forensics and Security, Oct. 06, 2023.
3. Zitong Yu, Yunxiao Qin, Xiaobai Li, Chenxu Zhao, Zhen Lei, Guoying Zhao, “Deep Learning for Face Anti-Spoofing: A Survey”, IEEE Transaction on Pattern Analysis and Machine Intelligence, 45(5), 5609-5631, 2023.
4. Xiangyu Zhu, Hongyan Fei, Bin Zhang, Tianshuo Zhang, Xiaoyu Zhang, Stan Z. Li, Zhen Lei, “Face Forgery Detection by 3D Decomposition and Composition Search”, IEEE Transaction on Pattern Analysis and Machine Intelligence, 45(7), 8342-8357, 2023.
5. Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li, “RefineFace: Refinement Neural Network for High Performance Face Detection”, IEEE Transaction on Pattern Analysis and Machine Intelligence, 43(11): 4008-4020, 2021.
6. Hao Liu, Xiangyu Zhu, Zhen Lei, Dong Cao, Stan Z. Li, “Fast Adapting without Forgetting for Face Recognition”, IEEE Transaction on Circuits and Systems for Video Technology, 31(8), 3093-3104, 04 November 2020.
7. Chang Yu, Xiangyu Zhu, Xiaomei Zhang, Zidu Wang, Zhaoxiang Zhang, Zhen Lei, “HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network”, In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR2022). New Orleans, Louisiana, June 19-24, 2022.
8. Yuxiao Qin, Zitong Yu, Longbin Yan, Zezheng Wang, Chenxu Zhao, Zhen Lei, “Meta-Teacher for Face Anti-spoofing”, IEEE Transaction on Pattern Analysis and Machine Intelligence, accepted, 22 June 2021.
9. Xiangyu Zhu, Xiaoming Liu, Zhen Lei, Stan Z. Li, "Face Alignment In Full Pose Range: A 3D Total Solution", IEEE Transaction on Pattern Analysis and Machine Intelligence, 41(1):78-92, 2019.
10. Zichang Tan, Jun Wan, Zhen Lei, Ruicong Zhi, Guodong Guo, Stan Z. Li, "Efficient Group-n Encoding and Decoding for Facial Age Estimation", IEEE Transaction on Pattern Analysis and Machine Intelligence, 40(11):2610-2623, 2018.
11. Longyin Wen, Zhen Lei, Siwei Lyu, Stan Z. Li, Ming-Hsuan Yang. “Exploiting Hierarchical Dense Structures on Hypergraphs for Multi-Object Tracking”, IEEE Transaction on Pattern Analysis and Machine Intelligence, 38(10):1983-1996, 2016.
12. Zhen Lei, Matti Pietikainen, Stan Z. Li. “Learning Discriminant Face Descriptor”, IEEE Transaction on Pattern Analysis and Machine Intelligence, 36(2):289-302, Feb. 2014.
Professional Certification and Awards
o 2024 The 1st Place of Face Recognition Challenge in the Era of Synthetic Data (FRCSyn) at WACV2024
o 2020-2023 Highly Cited Chinese Researchers, Elsevier
o 2023 CCBR the Springer Best Paper 1st Runner Up Award
o 2022 CCBR the Best Poster Paper Award
o 2021 The 1st Place of CAIP Guess the age contest
o 2019 National Science and Technology Progress Award (2nd prize)
o 2019 IAPR YOUNG BIOMETRICS INVESTIGATOR AWARD
o 2019 The Champion of DeepGlint-Large Track in Light Weight Face Recognition Challenge
o 2019 The Winner of competition of (Semi-) Supervised Face Detection in Low Light Conditions
o 2018 ICME Best Student Paper Award Runner-up
o 2017 The Winner of FG2017 facial micro-expression recognition competition
o 2017 CCBR Best Student Paper Award
o 2015 IAPR Best Biometrics Student Paper Award
o 2014 IAPR Best Biometrics Student Paper Award
o 2013 The Winner of the 300-W Challenge on facial landmark detection
o 2013 FG Best Student Paper Honorable Mention
o 2013 The Winner of The 2nd competition on counter measures to 2D facial spoofing attacks
o 2011 The Winner of IJCB 2011 Competition on counter measures to 2D facial spoofing attacks
o 2008 Beijing Olympic and Paralympic Great Contribution Award
o 2007 ICB Best Paper Award
o 2006 ICB Best Student Paper Award
Professional Society Membership
IEEE Fellow
IAPR Fellow
AAIA Fellow
