Associate Professor
Department of Electrical and Electronic Engineering
The Hong Kong Polytechnic University
Email: [email protected]
Research Interests
- Differential privacy
- Adversarial machine learning
About Me
I am an associate professor in the department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University. I received my PhD degree from Renmin University of China in 2020. My research interests include data privacy and security, and adversarial machine learning.
I have openings for 2-4 PhD students (Spring/Fall 2027 Admission), Research Assistants, and Postdoctoral Fellows in the field of differential privacy, and adversarial machine learning. If you are interested, please send me your CV at [email protected].
News
- Jul. 2026: Our paper “MobileProbe: Adaptive Security Evaluation of Mobile Agents via Trajectory-Aware Injection” is accepted by Network and Distributed System Security Symposium (NDSS 2027).
- Jul. 2026: Our paper “PMatch: A Secure Framework for Querying Private Localized Graph Patterns” is accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE).
- Jul. 2026: I am invited to serve as Area Chair of AAAI’27.
- Jul. 2026: Our paper “PrivFDM: Differentially Private Federated Diffusion Models for Image Synthesis” is accepted by ACM International Conference on Multimedia (MM 2026).
- Jun. 2026: A research project entitled “Unlocking Relations in Noise: Relational Knowledge Mining with Local Differential Privacy” is awarded by Research Grant Council with HK$ 975,916 (2027.01-2029.12).
- May 2026: Our three papers “Differentially Private Cross-Silo Recommendation from Implicit Feedback”, “Unlearning Isn’t Deletion: Investigating Reversibility of Machine Unlearning in LLMs”, and “On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression”, are accepted by International Conference on Machine Learning (ICML 2026).
- Apr. 2026: Our paper “Hitchhiking on Inherent Randomness: Diffusion-based Graph Generation under Differential Privacy” is accepted by ACM Conference on Computer and Communications Security (CCS 2026).
- Apr. 2026: Our paper “From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning” is accepted by Annual Meeting of the Association for Computational Linguistics (ACL 2026).
- Apr. 2026: Our paper “mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA” is accepted by International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026).
- Mar. 2026: Our paper “Sparse Estimation Under Local Differential Privacy at All Privacy Levels” is accepted by IEEE Symposium on Security and Privacy (S&P 2026).