Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models Y Huang, J Song, Z Wang, H Chen, L Ma arXiv preprint arXiv:2307.10236, 2023 | 39 | 2023 |
Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement S Li, Z Wang, F Juefei-Xu, Q Guo, X Li, L Ma IEEE Transactions on Multimedia, 2023 | 16 | 2023 |
Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code? B Kou, S Chen, Z Wang, L Ma, T Zhang arXiv preprint arXiv:2306.01220, 2023 | 14* | 2023 |
When Cyber-Physical Systems Meet AI: A Benchmark, an Evaluation, and a Way Forward J Song, D Lyu, Z Zhang, Z Wang, T Zhang, L Ma 2022 IEEE/ACM 44th International Conference on Software Engineering …, 2022 | 13 | 2022 |
ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks H Qi, Z Wang, Q Guo, J Chen, F Juefei-Xu, F Zhang, L Ma, J Zhao ACM Transactions on Software Engineering and Methodology 32 (5), 1-31, 2023 | 11 | 2023 |
AI-driven Mobile Apps: an Explorative Study Y Li, X Dang, H Tian, T Sun, Z Wang, L Ma, J Klein, TF Bissyande arXiv preprint arXiv:2212.01635, 2022 | 8 | 2022 |
Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities X Gao, Z Wang, Y Feng, L Ma, Z Chen, B Xu Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 6 | 2023 |
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models D Song, Z Wang, Y Huang, L Ma, T Zhang Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 4 | 2023 |
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction Z Wang, Y Huang, D Song, L Ma, T Zhang Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 4 | 2023 |
CarveNet: Carving Point-Block for Complex 3D Shape Completion Q Guo, Z Wang, F Juefei-Xu, D Lin, L Ma, W Feng, Y Liu arXiv preprint arXiv:2107.13452, 2021 | 4 | 2021 |
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty Z Wang, Y Huang, L Ma, H Yokoyama, S Tokumoto, K Munakata arXiv preprint arXiv:2212.06828, 2022 | 3 | 2022 |
PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement Z Wang, Y Huang, D Song, L Ma, T Zhang Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-21, 2024 | 2 | 2024 |
Generation-based Differential Fuzzing for Deep Learning Libraries J Liu, Y Huang, Z Wang, L Ma, C Fang, M Gu, X Zhang, Z Chen ACM Transactions on Software Engineering and Methodology 33 (2), 1-28, 2023 | 2 | 2023 |
AutoRepair: Automated Repair for AI-Enabled Cyber-Physical Systems under Safety-Critical Conditions D Lyu, J Song, Z Zhang, Z Wang, T Zhang, L Ma, J Zhao arXiv preprint arXiv:2304.05617, 2023 | 2 | 2023 |
Where Do Large Language Models Fail When Generating Code? Z Wang, Z Zhou, D Song, Y Huang, S Chen, L Ma, T Zhang arXiv preprint arXiv:2406.08731, 2024 | | 2024 |
TESTEVAL: Benchmarking Large Language Models for Test Case Generation W Wang, C Yang, Z Wang, Y Huang, Z Chu, D Song, L Zhang, AR Chen, ... arXiv preprint arXiv:2406.04531, 2024 | | 2024 |
MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems X Gao, Z Wang, Y Feng, L Ma, Z Chen, B Xu Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | | 2024 |
An Empirical Study of Code Generation Errors made by Large Language Models D Song, Z Zhou, Z Wang, Y Huang, S Chen, B Kou, L Ma, T Zhang | | 2023 |
When Simulator Meets Natural Deviation: A Study on Deviations in Simulation-based ADS Testing R Wang, Z Wang, Y Huang, L Ma 2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023 | | 2023 |