| Understanding (mis) behavior on the eosio blockchain Y Huang, H Wang, L Wu, G Tyson, X Luo, R Zhang, X Liu, G Huang, ... Proceedings of the ACM on Measurement and Analysis of Computing Systems 4 (2 …, 2020 | 55 | 2020 |
| A semantic-aware representation framework for online log analysis W Meng, Y Liu, Y Huang, S Zhang, F Zaiter, B Chen, D Pei 2020 29th International Conference on Computer Communications and Networks …, 2020 | 53 | 2020 |
| LogClass: Anomalous Log Identification and Classification With Partial Labels W Meng, Y Liu, S Zhang, F Zaiter, Y Zhang, Y Huang, Z Yu, Y Zhang, ... IEEE Transactions on Network and Service Management 18 (2), 1870-1884, 2021 | 42 | 2021 |
| 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 |
| Characterizing eosio blockchain Y Huang, H Wang, L Wu, G Tyson, X Luo, R Zhang, X Liu, G Huang, ... arXiv preprint arXiv:2002.05369, 2020 | 37 | 2020 |
| Summarizing unstructured logs in online services W Meng, F Zaiter, Y Huang, Y Liu, S Zhang, Y Zhang, Y Zhu, T Zhang, ... arXiv preprint arXiv:2012.08938, 2020 | 11 | 2020 |
| Zero-Shot Certified Defense against Adversarial Patches with Vision Transformers Y Huang, Y Li arXiv preprint arXiv:2111.10481, 2021 | 9 | 2021 |
| Patchcensor: Patch robustness certification for transformers via exhaustive testing Y Huang, L Ma, Y Li ACM Transactions on Software Engineering and Methodology 32 (6), 1-34, 2023 | 5 | 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 |
| 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 |
| LUNA: A Model-Based Universal Analysis Framework for Large Language Models D Song, X Xie, J Song, D Zhu, Y Huang, F Juefei-Xu, L Ma IEEE Transactions on Software Engineering, 2024 | 1 | 2024 |
| Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward X Xie, J Song, Z Zhou, Y Huang, D Song, L Ma arXiv preprint arXiv:2404.08517, 2024 | 1 | 2024 |
| 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 |
| Enhancing Fault Detection for Large Language Models via Mutation-Based Confidence Smoothing Q Hu, J Wen, M Cordy, Y Huang, X Xie, L Ma arXiv preprint arXiv:2404.14419, 2024 | | 2024 |
| 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 |
| 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 |
