Pingchuan Ma (马平川)

As of 16 October 2021

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 mission is to build trust in data engineering systems.

I can be reached at pmaab at ust dot hk or v-pingma at microsoft dot com.

Research Highlight

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)
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)LinkPDF
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)Acceptance Rate: 12.6%PDF
A Quantitative Approach for Medical Imaging Device Security Assessment
Pingchuan Ma, Zhiqiang Wang, Xiali Hei, Xiaoxiang Zou, Jianyi Zhang, Qixu Liu, Xin Lyu, and Zihan Zhuo
IEEE/IFIP International Conference on Dependable Systems and Networks (DSN’19) Fast Abstract Track
Medical Devices are at Risk: Information Security on Diagnostic Imaging System
Zhiqiang Wang, Pingchuan Ma, Yaping Chi, and Jianyi Zhang
ACM SIGSAC Conference on Computer and Communications Security (CCS’18) Poster Track

Experience

  • Research Intern, Microsoft Research Asia, mentored by Justin Ding, 2021.6 - 2021.12 (expected)
  • 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

  • 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

  • External Reviewer of 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)