Jinsheng Ba
The Chinese University of Hong Kong, Shenzhen
Jinsheng Ba is an incoming Assistant Professor in the School of Data Science at the Chinese University of Hong Kong, Shenzhen. His research interests span Software Engineering and LLM, with a specific focus on observing, manipulating, and shaping software behaviors at a semantic level to enhance the reliability and correctness of critical data- and AI-driven systems. All of his research has been published in top-tier venues, including ICSE, SIGMOD, and Usenix Security. As the first author, he is the recipient of two ACM SIGSOFT Distinguished Paper Awards at ICSE 2023 and ASE 2022 and was nominated for the Best Ph.D. Thesis Award. His research led to the discovery of over 200 previously unknown bugs and vulnerabilities in widely used fundamental software systems. Prior to joining CUHK-Shenzhen, he was a postdoctoral researcher at ETH Zurich, advised by Prof. Zhendong Su. He received his Ph.D. degree in Computer Science from National University of Singapore in 2024, advised by Dr. Manuel Rigger.
News
| Jun 25, 2026 | Two papers accepted at ISSTA’26 for solving software specification challenges! |
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| May 11, 2026 | I will serve as a Program Committee member for ASE’26, FSE’27, and OOPSLA’27. |
| Jun 22, 2025 | My PhD thesis was awarded PhD Thesis Award-Honorable Mention from NUS School of Computing! |
| Mar 31, 2025 | Our paper Towards a Unified Query Plan Representation was accepted at ICDE’25! |
| Jan 31, 2025 | Our paper Finding Logic Bugs in Graph-processing Systems via Graph-cutting was accepted at SIGMOD’25! |
| Oct 4, 2024 | I gave a talk to Languages, Systems, and Data (LSD) Lab at UC Santa Cruz. |
| Jul 18, 2024 | I successfully defended my PhD thesis and will join ETH Zurich as a postdoc researcher! 🎉🎓 |
| Mar 14, 2024 | Our paper Keep It Simple: Testing Databases via Differential Query Plans was accepted at SIGMOD’24! |
| Jan 12, 2024 | I was invited to serve on the Program Committee for DBTEST’24 Workshop co-loated with SIGMOD’24. |
| Jan 8, 2024 | Our work Testing Database Engines via Query Plan Guidance received research hightlight from NUS School of Computing! |