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 received my PhD degree from Renmin University of China in 2020, and joined the Hong Kong Polytechnic University as a Research Assistant Professor since then. In 2022, I was promoted as an Assistant Professor. My research interests include data privacy and security, and adversarial machine learning. You can refer to our research lab ASTAPLE for more information.
I am looking for PhD students (Fall 2025 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
- Jan. 2025: An ITF project entitled “Secure Multi-Party Data Sharing based on Differential Privacy” is awarded by Innovation and Technology Commission (ITC) with HK$ 1,084,975 (2025.04-2027.03).
- Dec. 2024: Our paper “Exploring Intrinsic Alignments within Text Corpus” is accepted by Annual AAAI Conference on Artificial Intelligence (AAAI 2025).
- Dec. 2024: Our paper “A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks” is accepted by Annual AAAI Conference on Artificial Intelligence (AAAI 2025).
- Nov. 2024: Our paper “Structure-Preference Enabled Graph Embedding Generation under Differential Privacy” is accepted by IEEE International Conference on Data Engineering (ICDE 2025).
- Nov. 2024: Our paper “Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs” is accepted by IEEE International Conference on Data Engineering (ICDE 2025).
- Nov. 2024: I receive “Early Career Award” from RGC. Thanks for the incredible support from ASTAPLE!
- Nov. 2024: Our paper “PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy” is accepted by SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025).
- Nov. 2024: Our paper “Membership Inference Attacks and Defenses in Federated Learning: A Survey” is accepted by ACM Computing Surveys.
- Nov. 2024: Our paper “Federated Heavy Hitter Analytics with Local Differential Privacy” is accepted by International Conference of Management of Data (SIGMOD 2025).
- Oct. 2024: Our paper “Generating Location Traces with Semantic-constrained Local Differential Privacy” is accepted by IEEE Transactions on Information Forensics and Security (TIFS).
- Oct. 2024: Our paper “Boosting Accuracy of Differentially Private Continuous Data Release for Federated Learning” is accepted by IEEE Transactions on Information Forensics and Security (TIFS).
- Sep. 2024: Our paper “Top-k Discovery under Local Differential Privacy: An Adaptive Sampling Approach” is accepted by IEEE Transactions on Dependable and Secure Computing (TDSC).