Pingchuan Ma (马平川)

As of 11 January 2021

I am a first 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 primarily span software engineering and natural language processing. I am also interested in human-in-the-loop methods.

I can be reached at pmaab at ust dot hk.

Preprints

MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing
Pingchuan Ma and Shuai Wang
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Pingchuan Ma, Rui Ding, Shi Han, and Dongmei Zhang

Publications

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%
Differentially Private Reinforcement Learning
Pingchuan Ma, Zhiqiang Wang, Le Zhang, Ruming Wang, Xiaoxiang Zou, and Tao Yang
International Conference on Information and Communications Security (ICICS’19)Acceptance Rate: 24.1%
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, 2019.12 - 2020.6
  • Research Intern, NISL, Tsinghua University, advised by Prof. Chao Zhang, 2019.5 - 2019.9
  • Research Intern, CNCERT/CC, 2018.9 - 2019.5

Talk

  • 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