Zhaoyu Wang

A photo of Zhaoyu Wang

Welcome to my homepage!

I am a second-year Ph.D. student at Department of Computer Science and Engineering, The Hong Kong University of Science and Technology (HKUST), under the supervision of Prof. Shuai Wang. Prior to joining HKUST, I obtained my bachelor’s degree in data science and technology from Tongji University, Shanghai, China in 2023. My research interests include privacy-preserving machine learning and sofware engineering.

I can be reached at zwangjz at cse dot ust dot hk.

Publication

(* Equal contribution)

Guardrail: Automated Integrity Constraint Synthesis From Noisy Data
Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach
Reeq: Testing and Mitigating Ethically Inconsistent Suggestions of Large Language Models with Reflective Equilibrium
PP-CSA: Practical Privacy-Preserving Software Call Stack Analysis
Towards Practical Federated Causal Structure Learning

Education

  • Ph.D. in Computer Science and Engineering, The Hong Kong University of Science and Technology, Sep. 2023 - Now
  • Exchange, École Polytechnique Fédérale de Lausanne, Sep. 2022 - Jan. 2023
  • B.Eng. in Data Science and Technology, Tongji University, Sep. 2019 - Jun. 2023

Award and Grant

  • Cybersecurity Project of the Year, Tech Fest Hong Kong Awards 2025
  • UGC Research Travel Grant, 2024-25 Academic Year.
  • UGC Research Travel Grant, 2023-24 Academic Year.

Patents

  • Pingchuan Ma, Shuai Wang, Zhaoyu Wang. Method and System for Identifying Integrity Constraints from Noisy Data. US Provisional Patent. Filing Date: 9 Jun 2025
  • Pingchuan Ma, Zhaoyu Wang, Shuai Wang. Enhanced Distributed Zero-Knowledge Proof Generation. US Patent. Filing Date: 8 April 2025
  • Pingchuan Ma, Zhaoyu Wang, Shuai Wang. New Approach for Distributed Zero-Knowledge Proof Generation for Data Analytics Workflow. US Provisional Patent. Filing Date: 1 Nov 2024
  • Pingchuan Ma, Zhaoyu Wang, Shuai Wang. Approach for Efficient Zero-Knowledge Causal Analysis. US Provisional Patent. Filing Date: 1 Nov 2024

Professional Service

  • Sub-Reviewer of CCS'25, ICML'25, S&P '25, ACL Rolling Review'25, LLM4Code'25, FSE'24, ECMLPKDD'23, PETS'23.

Teaching Experience

  • Teaching Assistant, COMP 2011: Programming with C++ (Fall 2024)