| Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models P Ma, S Wang, J Liu IJCAI, 458-465, 2020 | 82 | 2020 |
| Demonstration of InsightPilot: An LLM-empowered automated data exploration system P Ma, R Ding, S Wang, S Han, D Zhang arXiv preprint arXiv:2304.00477, 2023 | 75 | 2023 |
| Metainsight: Automatic discovery of structured knowledge for exploratory data analysis P Ma, R Ding, S Han, D Zhang Proceedings of the 2021 international conference on management of data, 1262 …, 2021 | 50 | 2021 |
| On extracting specialized code abilities from large language models: A feasibility study Z Li, C Wang, P Ma, C Liu, S Wang, D Wu, C Gao, Y Liu Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 44* | 2024 |
| Mt-teql: evaluating and augmenting neural nlidb on real-world linguistic and schema variations P Ma, S Wang Proceedings of the VLDB Endowment 15 (3), 569-582, 2021 | 32 | 2021 |
| Split and Merge: Aligning Position Biases in LLM-based Evaluators Z Li, C Wang, P Ma, D Wu, S Wang, C Gao, Y Liu Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 31* | 2024 |
| Unleashing the power of compiler intermediate representation to enhance neural program embeddings Z Li, P Ma, H Wang, S Wang, Q Tang, S Nie, S Wu Proceedings of the 44th International Conference on Software Engineering …, 2022 | 31 | 2022 |
| Xinsight: explainable data analysis through the lens of causality P Ma, R Ding, S Wang, S Han, D Zhang Proceedings of the ACM on Management of Data 1 (2), 1-27, 2023 | 25 | 2023 |
| Explain any concept: Segment anything meets concept-based explanation A Sun, P Ma, Y Yuan, S Wang Advances in Neural Information Processing Systems 36, 21826-21840, 2023 | 24 | 2023 |
| Security of medical cyber-physical systems: An empirical study on imaging devices Z Wang, P Ma, X Zou, J Zhang, T Yang IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops …, 2020 | 22* | 2020 |
| 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 | 18 | 2023 |
| 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 | 18 | 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 | 17 | 2023 |
| Oops, Did I Just Say That? Testing and Repairing Unethical Suggestions of Large Language Models with Suggest-Critique-Reflect Process P Ma, Z Li, A Sun, S Wang | 17* | 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 | 16 | 2023 |
| Ml4s: Learning causal skeleton from vicinal graphs P Ma, R Ding, H Dai, Y Jiang, S Wang, S Han, D Zhang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 16 | 2022 |
| 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 | 16 | 2022 |
| Enhancing dnn-based binary code function search with low-cost equivalence checking H Wang, P Ma, Y Yuan, Z Liu, S Wang, Q Tang, S Nie, S Wu IEEE Transactions on Software Engineering 49 (1), 226-250, 2022 | 14 | 2022 |
| sem2vec: Semantics-aware Assembly Tracelet Embedding H Wang, P Ma, S Wang, Q Tang, S Nie, S Wu ACM Transactions on Software Engineering and Methodology 32 (4), 1-34, 2023 | 12 | 2023 |
| Differentially private reinforcement learning P Ma, Z Wang, L Zhang, R Wang, X Zou, T Yang International Conference on Information and Communications Security, 668-683, 2019 | 11 | 2019 |
Shuai WangThe Hong Kong University of Science and TechnologyCorreu electrònic verificat a cse.ust.hk