| : A Semantics-Guided Safety Enhancement Framework for AI-Enabled Cyber-Physical Systems J Song, X Xie, L Ma IEEE Transactions on Software Engineering 49 (8), 4058-4080, 2023 | 4 | 2023 |
| 2P1-Q02 ロボットナビゲーションのためのユーザが設置可能なビーコンネットワーク (VR とインタフェース) 石井健太郎， 米海鵬， 馬雷， 稲見昌彦， 五十嵐健夫 ロボティクス・メカトロニクス講演会講演概要集 2012, _2P1-Q02_1-_2P1-Q02_4, 2012 | | 2012 |
| A first look at the integration of machine learning models in complex autonomous driving systems: a case study on apollo Z Peng, J Yang, TH Chen, L Ma Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 61 | 2020 |
| A quantitative analysis framework for recurrent neural network X Du, X Xie, Y Li, L Ma, Y Liu, J Zhao 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 16 | 2019 |
| A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding M Vahdat Pour, Z Li, L Ma, H Hemmati arXiv e-prints, arXiv: 2101.07910, 2021 | | 2021 |
| A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding MV Pour, Z Li, L Ma, H Hemmati ICST 2021, arXiv preprint arXiv:2101.07910, 2021 | 45 | 2021 |
| A survey on automated driving system testing: Landscapes and trends S Tang, Z Zhang, Y Zhang, J Zhou, Y Guo, S Liu, S Guo, YF Li, L Ma, ... ACM Transactions on Software Engineering and Methodology 32 (5), 1-62, 2023 | 44 | 2023 |
| A3GAN: Attribute-Aware Anonymization Networks for Face De-identification L Zhai, Q Guo, X Xie, L Ma, YE Wang, Y Liu Proceedings of the 30th ACM international conference on multimedia, 5303-5313, 2022 | 26 | 2022 |
| Active Code Learning: Benchmarking Sample-Efficient Training of Code Models Q Hu, Y Guo, X Xie, M Cordy, L Ma, M Papadakis, Y Le Traon IEEE Transactions on Software Engineering, 2024 | 2 | 2024 |
| Active Testing of Large Language Model via Multi-Stage Sampling Y Huang, J Song, Q Hu, F Juefei-Xu, L Ma arXiv preprint arXiv:2408.03573, 2024 | | 2024 |
| Adversarial rain attack and defensive deraining for dnn perception L Zhai, F Juefei-Xu, Q Guo, X Xie, L Ma, W Feng, S Qin, Y Liu arXiv preprint arXiv:2009.09205, 2020 | 15 | 2020 |
| AdvFilter: predictive perturbation-aware filtering against adversarial attack via multi-domain learning Y Huang, Q Guo, F Juefei-Xu, L Ma, W Miao, Y Liu, G Pu Proceedings of the 29th ACM International Conference on Multimedia, 395-403, 2021 | 12 | 2021 |
| 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 | 10 | 2022 |
| AI4Mobile’19 Y Liu, L Ma, L Li, M Xue | | 2019 |
| Amora: Black-box adversarial morphing attack R Wang, F Juefei-Xu, Q Guo, Y Huang, X Xie, L Ma, Y Liu Proceedings of the 28th ACM International Conference on Multimedia, 1376-1385, 2020 | 50 | 2020 |
| Amora: Black-box adversarial morphing attack.(2020) R WANG, F JUEFEI-XU, Q GUO, Y HUANG, X XIE, L MA, Y LIU Proceedings of the 28th ACM International Conference on Multimedia, MM, 12-16, 2020 | | 2020 |
| An Annotated Type System for Inlining M Lei, S Hiroyuki 情報処理学会論文誌プログラミング (PRO) 5 (1), 26-26, 2012 | | 2012 |
| An Empirical Analysis of Compatibility Issues for Industrial Mobile Games (Practical Experience Report) Z Song, Y Chen, L Ma, S Lu, H Lin, C Fan, W Yang 2022 IEEE 33rd International Symposium on Software Reliability Engineering …, 2022 | 3 | 2022 |
| An Empirical Study of Ai Techniques in Mobile Applications Y Li, X Dang, H Tian, T Sun, Z Wang, L Ma, J Klein, TF BISSYANDE Available at SSRN 4876287, 0 | | |
| 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 | 1 | 2023 |
Yang LiuNanyang Technological University在 ntu.edu.sg 的电子邮件经过验证
