| Perfce: Performance debugging on databases with chaos engineering-enhanced causality analysis Z Ji, P Ma, S Wang 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 8 | 2023 |
| Noleaks: Differentially private causal discovery under functional causal model P Ma, Z Ji, Q Pang, S Wang IEEE Transactions on Information Forensics and Security 17, 2324-2338, 2022 | 8 | 2022 |
| Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach Z Ji, P Ma, Z Li, S Wang arXiv preprint arXiv:2310.06680, 2023 | 6 | 2023 |
| Unlearnable Examples: Protecting Open-Source Software from Unauthorized Neural Code Learning Z Ji, P Ma, S Wang SEKE, 2022 | 5 | 2022 |
| Causality-aided trade-off analysis for machine learning fairness Z Ji, P Ma, S Wang, Y Li 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 4 | 2023 |
| CC: Causality-Aware Coverage Criterion for Deep Neural Networks Z Ji, P Ma, Y Yuan, S Wang 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 4 | 2023 |
| InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models X Wang, Z Ji, P Ma, Z Li, S Wang arXiv preprint arXiv:2312.01886, 2023 | 2 | 2023 |
| Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning (Extended Version) P Ma, Z Ji, P Yao, S Wang, K Ren arXiv preprint arXiv:2309.05264, 2023 | 1 | 2023 |
| Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning P Ma, Z Ji, P Yao, S Wang, K Ren Proceedings of the 46th IEEE/ACM International Conference on Software …, 2024 | | 2024 |
| An Empirical Study on Issue Knowledge Transfer from Python to R for Machine Learning Software. WC Huang, Z Ji, Y Li SEKE, 168-173, 2020 | | 2020 |
Shuai WangThe Hong Kong University of Science and TechnologyVerified email at cse.ust.hk
