Jie Zhang received his Ph.D. degree in computer science from the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China, in 2017. Now he is an associate professor at Institute of Computing Technology, Chinese Academy of Sciences. His research interests cover computer vision, pattern recognition, machine learning, particularly include deep learning and its application in face recognition. He has published more than 10 papers in refereed journals and proceedings in the areas of computer vision and pattern recognition, such as CVPR, ICCV and ECCV. He has also won several awards, namely, Championship Award in ACM MM Kinship Recognition Challenge 2017, Runner-up Award in IEEE CVPR Landmark Detection Challenge 2017, Runner-upAwardin ICCV Apparent Age Estimation Challenge 2015, etc.
Research Areas
Computer Vision and Pattern Recognition, especially on Adversarial Attacks and Defenses, Domain Generalization, AI Safety and Trustworthiness.
Education
2007.09-2011.07 China University of Geosciences, Wuhan, B.S.
2011.09-2017.06 the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, Ph.D.
Experience
Work Experience
2019-10~, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Associate Professor
2017-07~2019-09, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Assistant Professor
Publications
Papers
- Yude Wang, Jie Zhang, Shiguang Shan, Xilin Chen, Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation. CVPR 2020
- yunpei Jia, Jie Zhang, Shiguang Shan, Xilin Chen, Single-Side Domain Generalization for Face Anti-Spoofing. CVPR 2020
- JieZhang,MeinaKan,ShiguangShan,XilinChen.Occlusion-free Face Alignment: Deep Regression Networks Coupled with De-corruptAutoEncoders. CVPR2016
- JieZhang,MeinaKan,ShiguangShan,XilinChen.Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network. ICCV2015
- JieZhang,ShiguangShan,MeinaKan,XilinChen.Coarse-to-Fine Auto-encoder Networks (CFAN) for Real-time Face Alignment. ECCV 2014
- MingjieHe,JieZhang,ShiguangShan,MeinaKan,XilinChen.Deformable Face Net for Pose Invariant Face Recognition. Pattern Recognition (PR) 2019
- ZhenliangHe,JieZhang,MeinaKan,ShiguangShan,XilinChen.Robustfec-cnn: A high accuracy facial landmark detection system. Workshop on CVPR 2017.(2ndWinnerof FaceAlignment).
- Yong Li,JiabeiZeng,JieZhang,AnboDai,MeinaKan,ShiguangShan,XilinChen.Kinnet: Fine-to-coarse deep metric learning for kinshipverification. Workshop on MM 2017.(1st WinnerofKinship Verification).
- ZhenliangHe,MeinaKan,JieZhang,XilinChen,ShiguangShan.A fully end-to-end cascadedcnnfor facial landmarkdetection. FG 2017
- XinLiu,ShaoxinLi,MeinaKan,JieZhang,ShuzheWu,WenxianLiu, Hu Han,ShiguangShan,XilinChen.Agenet: Deeply learnedregressorand classifier for robust apparent ageestimation. Workshop onICCV 2015. (2nd WinnerofApparent Age Estimation).
- Jie Zhang, Xiaowei Zhao, Meina Kan, Shiguang Shan, Xiujuan Chai, Xilin Chen. Locality-constrained framework for face alignment. FCS 2019
- Jie Zhang, Meina Kan, Shiguang Shan, Xiaowei Zhao, Xilin Chen. Topic-aware deep auto-encoders (tda) for face alignment. ACCV 2014
- Mingjie He, Jie Zhang, Shiguang Shan, Meina Kan, Xilin Chen. Deformable Face Net: Learning Pose Invariant Feature with Pose Aware Feature Alignment for Face Recognition. FG 2019
- Jinghui Wang, Jie Zhang, Zijia Lu, Shiguang Shan. DFT-Net: Disentanglement of Face Deformation and Texture Synthesis for Expression Editing. ICIP 2019
- Feng Jiang, Jie Zhang, Liping Yan, Yuanqing Xia, Shiguang Shan. A Three-Category Face Detector with Contextual Information on Finding Tiny Faces. ICIP 2018