Pingchuan Ma (马平川)

As of 20 May 2022

I am a second year Ph.D. student 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 and software security.

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

Research Highlight

ML4S: Learning Causal Skeleton from Vicinal Graphs
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, and Dongmei Zhang
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’22)
Unlearnable Examples: Protecting Open-Source Software from Unauthorized Neural Code Learning
Zhenlan Ji, Pingchuan Ma, and Shuai Wang
International Conference on Software Engineering and Knowledge Engineering (SEKE ’22)Code
NeuralD: Detecting Indistinguishability Violations of Oblivious RAM with Neural Distinguishers
Pingchuan Ma, Zhibo Liu, Yuanyuan Yuan, and Shuai Wang
IEEE Transactions on Information Forensics & Security (TIFS)Code
Enhancing DNN-Based Binary Code Function Search With Low-Cost Equivalence Checking
Huaijin Wang, Pingchuan Ma, Yuanyuan Yuan, Zhibo Liu, Shuai Wang, Qiyi Tang, Sen Nie, and Shi Wu
IEEE Transactions on Software Engineering (TSE)Code
Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings
Zongjie Li, Pingchuan Ma, Huaijin Wang, Shuai Wang, Qiyi Tang, Sen Nie, and Shi Wu
International Conference on Software Engineering (ICSE ’22)
MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations
Pingchuan Ma and Shuai Wang
International Conference on Very Large Data Bases (VLDB ’22)Code
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Pingchuan Ma, Rui Ding, Shi Han, and Dongmei Zhang
ACM SIGMOD International Conference on Management of Data (SIGMOD ’21)LinkExtended VersionReference Implementation
Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models
Pingchuan Ma, Shuai Wang, and Jin Liu
International Joint Conference on Artificial Intelligence (IJCAI ’20)Code

Award

  • 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, 2021.6 - 2022.4
  • Research Intern, Microsoft Research Asia, mentored by Justin Ding, 2019.12 - 2020.6
  • Research Intern, NISL, Tsinghua University, advised by Prof. Chao Zhang, 2019.5 - 2019.9
  • Research Intern, CNCERT/CC, advised by Dr. Zhiqiang Wang, 2018.9 - 2019.5

Talk

  • Towards Dependable and Transparent Data Analytics Platforms, Microsoft Research Asia, 10 March, 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

  • Program Committee of PETS '22 Artifact Evaluation, ISSTA '22 Artifact Evaluation, EuroSys '22 Artifact Evaluation
  • External Reviewer of CCS '22, ASE '22, DBTest '22, AsiaCCS '22, AsiaCCS '21, ICSE '20 Artifact Evaluation, and USENIX Security '20 Artifact Evaluation
  • Reviewer of International Journal of Network Security

Teaching Experience

  • Teaching Assistant, COMP4901N: Competitive Programming in Cybersecurity (Fall 2021)
  • Teaching Assistant, COMP6613C: Topics in Computer Security and Privacy (Spring 2021)