Shuren Qi

Shuren Qi 祁树仁

Postdoctoral Fellow
The Chinese University of Hong Kong

Center for Mathematical Artificial Intelligence
Institute of Mathematical Sciences
Department of Mathematics
Faculty of Science

Research Interests:
Invariants
Representations
Geometric Deep Learning
Trustworthy AI
Science AI

shurenqi@cuhk.edu.hk
shurenqi@nuaa.edu.cn
CUHK / Google Scholar / Github

I am a RTH-ITF Postdoctoral Fellow at the Department of Mathematics and the Center for Mathematical Artificial Intelligence (CMAI), The Chinese University of Hong Kong (CUHK), advised by Prof. Tieyong Zeng and Prof. Fenglei Fan. I obtained my Ph.D. degree from the Nanjing University of Aeronautics and Astronautics (NUAA), supervised by Prof. Yushu Zhang, and also luckly advised by Prof. Jiantao Zhou and Prof. Xiaochun Cao.

My research interests cover computer vision, deep learning, and artificial intelligence, with a focus on robust and explainable representations in Geometric Deep Learning. I am also interested in their natural applications in Trustworthy AI and Science AI. My current work attempts to give some new designs of invariant representations — from global to local and hierarchical assumptions. My research has appeared in several top-tier journals and conferences, such as IEEE TPAMI and USENIX Security.

News

WWW 2025 tutorial homepage has been released with full slides.
I am honored to be awarded by the University for the outstanding doctoral dissertation.
I am honored to be supported by the Research Talent Hub for ITF projects (RTH-ITF).
A talk at the Huawei Hong Kong Research Center [slides].
Our paper has been accepted by the USENIX Security 2025.
A talk at the Nanjing University of Aeronautics and Astronautics.
A talk at the Harbin Institute of Technology.
Our tutorial has been accepted by the ACM Web Conference 2025.
A talk at the ChinaMFS 2024.
I am joining the Department of Mathematics, The Chinese University of Hong Kong, as a Postdoctoral Fellow.
A talk at the Harbin Institute of Technology [slides].
A talk at the Chinese University of Hong Kong.
A talk at the Jiangxi University of Finance and Economics.
I have passed the doctoral dissertation defense [dissertation].

Selected Publications

Full list at Google Scholar

Representations

WWW

Rethink Deep Learning with Invariance in Data Representation
Shuren Qi, Fei Wang, Tieyong Zeng, Fenglei Fan
The ACM Web Conference (WWW), Tutorial Track, 2025
[Homepage] [Slides] [Proposal] [Teaser] more materials will be continuously updated...

TPAMI

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
[Paper] [Code] [TL;DR] [Award] [Media Coverage] [Reading List]

TPAMI

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
[Paper] [Code] [TL;DR]

CSUR

A Survey of Orthogonal Moments for Image Representation: Theory, Implementation, and Evaluation
Shuren Qi, Yushu Zhang, Chao Wang, Jiantao Zhou, Xiaochun Cao
ACM Computing Surveys (CSUR), 2023 accepted directly in the 1st round of peer review
[Paper] [Code] [TL;DR] [Zhihu] [ESI Highly Cited Paper]

Applications

USENIX Security

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
The USENIX Security Symposium (USENIX Security), Available, Functional, Reproduced, 2025
[Paper] [Code] [Artifact Appendix] [TL;DR] more materials will be continuously updated...

TCSVT

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
[Paper] [Code]

TNNLS

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
[Paper] [TL;DR]

TOMM

PRNU-based Image Forgery Localization with Deep Multi-Scale Fusion
Yushu Zhang, Qing Tan, Shuren Qi*, Mingfu Xue
ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2022
[Paper] [TL;DR]

TOMM

Detection of Recolored Image by Texture Features in Chrominance Components
Yushu Zhang, Nuo Chen, Shuren Qi*, Mingfu Xue, Zhongyun Hua
ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2022
[Paper]

TBD

Localization of Inpainting Forgery with Feature Enhancement Network
Yushu Zhang, Zhibin Fu, Shuren Qi*, Mingfu Xue, Zhongyun Hua, Yong Xiang
IEEE Transactions on Big Data (TBD), 2022
[Paper]

TIFS

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
[Paper] [Code] [TL;DR] [Zhihu]

CSUR

Security and Privacy on Generative Data in AIGC: A Survey
Tao Wang, Yushu Zhang, Shuren Qi, Ruoyu Zhao, Zhihua Xia, Jian Weng
ACM Computing Surveys (CSUR), 2024
[Paper] [Reading List]