Registered user since Thu 24 May 2018
Jingyi Wang is an Assistant Professor at Zhejiang University (ZJU), China. He received Bachelor degree from Xi’an Jiaotong University (XJTU) in 2013 and PhD degree from Singapore University of Technology and Design (SUTD) in 2018. He was a Research Fellow in School of Computing, National University of Singapore (NUS) from 2019 to 2020. His research interests include SE and AI, formal methods and security. He has published in various top venues such as S&P, CCS, ICSE, ASE, ISSTA, FM and TACAS. He received two ACM SIGSOFT Distinguished Paper Award at ICSE 2018 and ICSE 2020 respectively. The latter one on fairness testing of deep neural networks was also selected as ACM SIGSOFT Research Highlights.
Contributions
2024
ISSTA
- Isolation-Based Debugging for Neural Networks
- TeDA: A Testing Framework for Data Usage Auditing in Deep Learning Model Development
- Interpretability Based Neural Network Repair
- Session Chair of Fairness and Safety of Neural Networks (part of Technical Papers)
- Committee Member in Program Committee within the Technical Papers-track
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