
I am a third year Ph.D. candidate at Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST), under the supervision of Prof. Shuai Wang. I received my B.Eng. from Beijing Electronic Science and Technology Institute. My research interests include data management, trustworthy AI (causality, privacy, fairness, etc.) and software engineering.
I can be reached at pmaab at cse dot ust dot hk.
Research Highlight
* means corresponding author.
Preprint
Publications
International Conference on Software Engineering (ICSE ’23)Code
ACM Transactions on Software Engineering and Methodology (TOSEM)Code
IEEE International Conference on Software Maintenance and Evolution (ICSME ’22)Code
IEEE Transactions on Information Forensics & Security (TIFS)Code
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’22)Code
International Conference on Software Engineering and Knowledge Engineering (SEKE ’22)Code
IEEE Transactions on Information Forensics & Security (TIFS)Code
IEEE Transactions on Software Engineering (TSE)Code
International Conference on Software Engineering (ICSE ’22)
International Conference on Very Large Data Bases (VLDB ’22)Code
ACM SIGMOD International Conference on Management of Data (SIGMOD ’21)LinkExtended VersionReference Implementation
International Joint Conference on Artificial Intelligence (IJCAI ’20)Code
Award
- AISTATS "Top Reviewer", February 2023.
- Microsoft Research Asia "Star of Tomorrow" Award, December 2022.
- Microsoft Research Asia "Star of Tomorrow" Award, March 2022.
- NVIDIA Academic Hardware Grant, March 2022.
Experience
- Research Intern, Microsoft Research Asia, mentored by Justin Ding, 2022.6 - 2022.11
- Research Intern, Microsoft Research Asia, mentored by Justin Ding, 2021.6 - 2022.4
- Research Intern, Microsoft Research Asia, mentored by Justin Ding, 2019.12 - 2020.6
Talk
- Learning Causal Skeleton from Vicinal Graphs, Microsoft Research Asia, 5 Aug, 2022.
- Towards Dependable and Transparent Data Analytics Platforms, Microsoft Research Asia, 10 Mar, 2022.
- Automated Fairness Testing and Beyond, Microsoft Research Asia Causality Reading Group, 6 Sept, 2021.
- Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models (in Chinese), AI Time, 15 Jan, 2021.
Academic Service
- Conference Program Committee/Reviewer of FAccT '23, KDD '23, AISTATS '23, PETS '23 Artifact Evaluation, PETS '22 Artifact Evaluation, ISSTA '22 Artifact Evaluation, EuroSys '22 Artifact Evaluation
- Journal Reviewer of IEEE Signal Processing Letters
- Sub-Reviewer of ISSTA '23, USENIX Security '23, NeurIPS '22, PETS '22, CCS '22, ASE '22, DBTest '22, AsiaCCS '22, AsiaCCS '21, ICSE '20 Artifact Evaluation, and USENIX Security '20 Artifact Evaluation
Teaching Experience
- Teaching Assistant, COMP4901N: Competitive Programming in Cybersecurity (Fall 2021)
- Teaching Assistant, COMP6613C: Topics in Computer Security and Privacy (Spring 2021)