I have submitted my thesis on Nov 2024. Now, I’m a postdoc from University of Technology Sydney (UTS), still supervised by Prof. Shui Yu.

My research interest is privacy and security in machine learning. During my PhD period, I mainly focused on machine unlearning.

1. Machine Unlearning:
   • New Algorithms for Machine Unlearning and Federated Unlearning
   • Prevent Privacy Leakage during Machine Unlearning
   • Auditing and Verification of Machine Unlearning

News

• [Feb 2025] One paper about privacy protection on machine unlearning was accepted by TDSC: CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning

• [Jan 2025] One paper about machine unlearning auditing was accepted by WWW25: TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning

• [December 2024] One federated unlearning paper was accepted by TDSC: FedU: Federated Unlearning via User-Side Influence Approximation Forgetting

• [December 2024] One semantic communication unlearning paper was accepted by TIFS: SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications

• [September 2024] I was invited as a reviewer of ICLR 2025!

• [August 2024] I will join the TPC of WWW 2025!

Selected Publications

1. Weiqi Wang, Chenhan Zhang, Zhiyi Tian, Shui Yu. “Machine unlearning via representation forgetting with parameter self-sharing.” IEEE Transactions on Information Forensics and Security (vol. 19, pp. 1099–1111, 2024).

2. Weiqi Wang, Zhiyi Tian, Chenhan Zhang, An Liu, and Shui Yu. “Bfu: Bayesian federated unlearning with parameter self-sharing.” In Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, pp. 567-578. 2023.

Services

• Program Committee Member/Reviewer
  • 2025: The Web Conference(WWW);ICLR;
  • 2024: The Web Conference(WWW);
• Journal Reviewer
  • IEEE Transactions on Information Forensics and Security (TIFS)
  • IEEE Transactions on Dependable and Secure Computing (TDSC)
  • IEEE Transactions on Image Processing (TIP)
  • ACM Computing Surveys
  • IEEE Communications Surveys and Tutorials
  • IEEE Internet of Things Journal (IoTJ)