Shuren Qi
Shuren Qi
祁树仁
Postdoctoral Fellow
City University of Hong Kong
Frontier of Artificial Networks (FAN) Group
Department of Data Science · College of Computing

I am currently a Postdoctoral Fellow at the Department of Data Science, City University of Hong Kong (CityU). Prior to this, I was a Postdoctoral Fellow at The Chinese University of Hong Kong (CUHK). I obtained my Ph.D. from Nanjing University of Aeronautics and Astronautics (NUAA). My research spans computer vision, deep learning, and artificial intelligence, with a particular focus on Geometric Deep Learning. My current work investigates novel designs of invariant representations — from global to local and hierarchical assumptions. My research has been published in top-tier journals and conferences, such as ACM Computing Surveys, IEEE TPAMI, IEEE TIP, ICCV, and USENIX Security.

News

Recent Updates
Pinned A series of invited talks “Frontier of Artificial Network” — ongoing series.
Joining the Department of Data Science, City University of Hong Kong, as a Postdoctoral Fellow.
Paper accepted by IEEE Transactions on Image Processing (TIP).
A talk at the CSIG Young Scientists Conference 2025.
Honored to be supported by the Young Elite Scientists Sponsorship Program (Hong Kong and Macau), Guangzhou Association for Science and Technology.
Paper accepted by IEEE Transactions on Image Processing (TIP).
Paper accepted by International Conference on Computer Vision (ICCV) 2025.
A talk at Sichuan University.
Awarded for outstanding doctoral dissertation by the University.
Supported by the Research Talent Hub for ITF projects (RTH-ITF).
A talk at Huawei Hong Kong Research Center [slides].
Paper accepted by USENIX Security Symposium (USENIX Security) 2025.
Tutorial accepted by the ACM Web Conference (WWW) 2025.
A talk at ChinaMFS 2024.
Joining the Department of Mathematics, The Chinese University of Hong Kong, as a Postdoctoral Fellow.

Selected Publications

Full list on Google Scholar →
Representations
WWW WWW Tutorial 2025
Rethink Deep Learning with Invariance in Data Representation
Shuren Qi, Fei Wang, Tieyong Zeng, Fenglei Fan
ACM Web Conference (WWW), Tutorial Track, 2025
ICCV ICCV 2025
Transparent Vision: A Theory of Hierarchical Invariant Representations
Shuren Qi, Yushu Zhang, Chao Wang, Zhihua Xia, Xiaochun Cao, Fenglei Fan
International Conference on Computer Vision (ICCV), 2025
TPAMI TPAMI 2023
A Principled Design of Image Representation: Towards Forensic Tasks
Shuren Qi, Yushu Zhang, Chao Wang, Jiantao Zhou, Xiaochun Cao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
TPAMI TPAMI 2024
Representing Noisy Image Without Denoising
Shuren Qi, Yushu Zhang, Chao Wang, Tao Xiang, Xiaochun Cao, Yong Xiang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
CSUR CSUR 2023
A Survey of Orthogonal Moments for Image Representation: Theory, Implementation, and Evaluation ESI Highly Cited
Shuren Qi, Yushu Zhang, Chao Wang, Jiantao Zhou, Xiaochun Cao
ACM Computing Surveys (CSUR), 2023 · Accepted in 1st round of peer review
Applications
USENIX USENIX Security 2025
Atkscopes: Multiresolution Adversarial Perturbation as a Unified Attack on Perceptual Hashing and Beyond
Yushu Zhang, Yuanyuan Sun, Shuren Qi*, Zhongyun Hua, Wenying Wen, Yuming Fang
USENIX Security Symposium (USENIX Security), 2025   Available Functional Reproduced
TIP TIP 2025
Boosting Geometric Invariants for Discriminative Forensics of Large-Scale Generated Visual Content
Shuren Qi, Chao Wang, Zhiqiu Huang, Yushu Zhang, Xiangyu Chen, Yi Zhang, Tieyong Zeng, Fenglei Fan
IEEE Transactions on Image Processing (TIP), 2025
TIP TIP 2025
Hard EXIF: Protecting Image Authorship Through Metadata, Hardware, and Content
Yushu Zhang, Bowen Shi, Shuren Qi*, Xiangli Xiao, Ping Wang, Wenying Wen
IEEE Transactions on Image Processing (TIP), 2025
TCSVT TCSVT 2024
Spatial-Frequency Discriminability for Revealing Adversarial Perturbations
Chao Wang, Shuren Qi*, Zhiqiu Huang, Yushu Zhang, Rushi Lan, Xiaochun Cao, Fenglei Fan
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024
TNNLS TNNLS 2023
PS-Net: A Learning Strategy for Accurately Exposing the Professional Photoshop Inpainting
Yushu Zhang, Zhibin Fu, Shuren Qi*, Mingfu Xue, Xiaochun Cao, Yong Xiang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
TIFS TIFS 2023
Shrinking the Semantic Gap: Spatial Pooling of Local Moment Invariants for Copy-Move Forgery Detection
Chao Wang, Zhiqiu Huang, Shuren Qi, Yaoshen Yu, Guohua Shen, Yushu Zhang
IEEE Transactions on Information Forensics and Security (TIFS), 2023
CSUR CSUR 2024
Security and Privacy on Generative Data in AIGC: A Survey ESI Highly Cited
Tao Wang, Yushu Zhang, Shuren Qi, Ruoyu Zhao, Zhihua Xia, Jian Weng
ACM Computing Surveys (CSUR), 2024