Hang Zhou 周航
Postdoc Fellow
GrUVi Lab, School of Computing Science
Simon Fraser University, Canada
zhouhang2991 at gmail dot com
[CV] [GitHub] [Google Scholar] [Research Gate]
Bio: Currently, I'm a postdoc fellow working with Professor Hao (Richard) Zhang in GrUVi Lab at Simon Fraser University (SFU), Canada. I received my Ph.D. in Cyberspace Security from University of Science and Technology of China (USTC), where I did research on Deep Learning, 3D Vision and Security with Professor Nenghai Yu and Professor Weiming Zhang. I spent three months as a student intern in Machine Learning Group in Microsoft Research Asia (MSRA), supervised by lead researcher Taifeng Wang. Before that, I got my B.S. in Communication Engineering from Shanghai University (SHU) in 2015, where I worked with Professor Zhenxing Qian and Professor Wei Shen.
Here is my new homepage address. The site will not be updated anymore.
News
- 2020-12: Congratulations to Kejiang that one paper has been accepted by TCSVT!
- 2020-07: One paper has been accepted by ACM MM20. Congrats!
- 2020-07: Code: LG-GAN is released.
- 2020-06-28: I have successfully defended my PhD thesis on "Research on Models and Methods of 3D Steganography"!
- 2020-03: One paper has been accepted by TCOM. Congrats!
- 2020-02: Two papers have been accepted by CVPR20. Congrats!
Publications [Full List]
- Trustworthy Machine Learning
- Xiquan Guan, Huaming Feng, Weiming Zhang, Hang Zhou, Jie Zhang and Nenghai Yu, Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication, ACM International Conference on Multimedia (MM), Seattle, USA, 2020 [PDF]
- Hang Zhou*, Dongdong Chen*, Jing Liao, Weiming Zhang, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Gang Hua and Nenghai Yu, LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2020 [Codes] [PDF] [Supp] [arXiv] [Slides] [Poster]
- Xiaoyi Dong, Dongdong Chen, Hang Zhou, Gang Hua, Weiming Zhang and Nenghai Yu, Self-Robust 3D Point Recognition via Gather-vector Guidance, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2020 [PDF]
- Hang Zhou, Kejiang Chen, Weiming Zhang, Han Fang, Wenbo Zhou and Nenghai Yu, DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense, IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea, 2019 [Codes] [PDF] [arXiv] [Poster]
- Steganography and Steganalysis
- Weixiang Li, Weiming Zhang, Li Li, Hang Zhou and Nenghai Yu, Designing Near-Optimal Steganographic Codes in Practice Based on Polar Codes, IEEE Transactions on Communications (TCOM), 2020 [PDF]
- Weixiang Li, Kejiang Chen, Weiming Zhang, Hang Zhou, Yaofei Wang and Nenghai Yu, JPEG Steganography with Estimated Side-information, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019 [PDF]
- Hang Zhou, Kejiang Chen, Weiming Zhang, Chuan Qin and Nenghai Yu, Feature-Preserving Tensor Voting Model for Mesh Steganalysis, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2019 [Codes] [PDF]
- Kejiang Chen, Hang Zhou, Weixiang Li, Kuan Yang, Weiming Zhang and Nenghai Yu, Derivative-based Steganographic Distortion and Its Non-additive Extensions for Audio, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019 [PDF]
- Hang Zhou, Kejiang Chen, Weiming Zhang, Yuanzhi Yao and Nenghai Yu, Distortion Design for Secure Adaptive 3D Mesh Steganography, IEEE Transactions on Multimedia (TMM), 2018 [Codes] [PDF]
- Kejiang Chen, Hang Zhou, Wenbo Zhou, Weiming Zhang and Nenghai Yu, Defining Cost Functions for Adaptive JPEG Steganography at the Microscale, IEEE Transactions on Information Forensics and Security (TIFS), 2018 [PDF]
- Hang Zhou, Kejiang Chen, Weiming Zhang, Zhenxing Qian, and Nenghai Yu, Targeted Attack and Security Enhancement on Texture Synthesis Based Steganography, Journal of Visual Communication and Image Representation (JVCIR), 2018 [Dataset] [Codes] [PDF]
- Hang Zhou, Kejiang Chen, Weiming Zhang, and Nenghai Yu, Comments on "Steganography Using Reversible Texture Synthesis", IEEE Transactions on Image Processing (TIP), 2017 [Codes] [PDF]
- Watermarking
- Kejiang Chen, Hang Zhou, Dongdong Hou, Weiming Zhang and Nenghai Yu, Reversible Data Hiding in JPEG Images under Multi-Distortion Metric, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020 [PDF]
- Han Fang, Weiming Zhang, Zehua Ma, Hang Zhou, Shan Sun, Hao Cui and Nenghai Yu, A Camera Shooting Resilient Watermarking Scheme for Underpainting Documents, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019 [PDF]
- Han Fang, Weiming Zhang, Hang Zhou, Hao Cui and Nenghai Yu, Screen-Shooting Resilient Watermarking, IEEE Transactions on Information Forensics and Security (TIFS), 2018 [PDF]
- Ruiqi Jiang, Hang Zhou, Weiming Zhang, and Nenghai Yu, Reversible Data Hiding in Encrypted Three-Dimensional Mesh Models, IEEE Transactions on Multimedia (TMM), 2017 [Codes] [PDF]
- Zhenxing Qian, Hang Zhou, Xinpeng Zhang, and Weiming Zhang, Separable Reversible Data Hiding in Encrypted JPEG Bitstreams, IEEE Transactions on Dependable and Secure Computing (TDSC), 2016 [Codes] [PDF]
Thesis
- PhD Dissertation: Research on Models and Methods of 3D Steganography. [PDF] [Slides]
- Reading Report: Polygonal Mesh Processing. [PDF] [Slides]
- Bachelor Thesis: Locating Object Proposals from Edges. [PDF] [Slides]
Collaborators
- Gang Hua (Vice President and Chief Scientist, Wormpex AI Research)
- Jing Liao (Assistant Professor, City University of Hong Kong)
- Dongdong Chen (Senior Researcher, Microsoft Research)
- Neil Gong (Assistant Professor, Duke University)
- Kejiang Chen (Postdoc Researcher, University of Science and Technology of China)
- Hao Cui (Ph.D. student, University of California, Irvine)
- Han Fang (Ph.D. student)
Professional Activities
- Conference reviewer: IJCAI 2021, CVPR 2021, AAAI 2021, ICLR 2021, ICLR 2020.
- Journal reviewer: IEEE TCSVT, IEEE/ACM TASLP, SCN.
Awards
- DMFS Outstanding Doctoral Dissertation, China Society of Image and Graphics (CSIG), 2020
- Second Prize of "Internet +" College Students Innovation and Entrepreneurship Competition, Anhui Province, 2020
- Outstanding Doctoral Dissertation, University of Science and Technology of China, 2020
- Outstanding Graduate, Anhui Province, 2020
- Outstanding Graduate, University of Science and Technology of China, 2020
- The President Scholarship, Chinese Academy of Sciences (CAS), 2020
- National Scholarship for Doctoral Students, University of Science and Technology of China, 2019
- (4/2520) IJCAI-2019 Alibaba Adversarial AI Challenge (AAAC2019) on Model Defence Track, 2019 [PDF]
- Cyberspace Security Scholarship, China, 2018
- Third Prize of China University IOT Innovation and Entrepreneurship Competition Finals, 2014
- First Prize of Shanghai University Student Electronic Design Competition (TI Cup), Shanghai, 2014
Since April 2017