Assistant 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 Assistant 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. You can refer to our research lab ASTAPLE for more information.
I have openings for 2-4 PhD students (Spring/Fall 2026 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
- Dec. 2025: Our paper “BeeKeeper: Securing Cross-Technology Communication via Channel-Aware Dual-Binding” is accepted by IEEE Conference on Computer Communications (INFOCOM 2026).
- Dec. 2025: Our paper “WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching” is accepted by Network and Distributed System Security (NDSS 2026).
- Nov. 2025: Our paper “Adversarial Signed Graph Learning with Differential Privacy” is accepted by SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026).
- Nov. 2025: Our paper “Auditing MLaaS Inference Service Quality without Ground Truth via Mutual Information” is accepted by IEEE Transactions on Information Forensics and Security (TIFS).
- Nov. 2025: Our paper “RATR: Optimized Trajectory Release with Temporal Local Differential Privacy” is accepted by IEEE Transactions on Dependable and Secure Computing (TDSC).
- Nov. 2025: Three papers are accepted by Annual AAAI Conference on Artificial Intelligence (AAAI 2026).
- Sep. 2025: Our paper “Enhancing Federated Learning with Differentially Private Continuous Data Release via k-Ary Trees” is accepted by IEEE Transactions on Information Forensics and Security (TIFS).
- Sep. 2025: Our two papers are accepted by Annual Conference on Neural Information Processing Systems (NeurIPS 2025).
- Sep. 2025: Our paper “DPDeno: A Post-Processing Framework for Releasing Differentially Private Spatio-Temporal Mobility Features” is accepted by IEEE Transactions on Information Forensics and Security (TIFS).
- Sep. 2025: Our paper “LabelDP Leaks Privacy – A Tightened Correlation-aware Privacy Model for Labeled Training Data” is accepted by IEEE Transactions on Dependable and Secure Computing (TDSC).