| Software defect prediction via convolutional neural network J Li, P He, J Zhu, MR Lyu 2017 IEEE International Conference on Software Quality, Reliability and …, 2017 | 466 | 2017 |
| An evaluation study on log parsing and its use in log mining P He, J Zhu, S He, J Li, MR Lyu 2016 Annual IEEE/IFIP International Conference on Dependable Systems and …, 2016 | 291 | 2016 |
| Code Completion with Neural Attention and Pointer Networks J Li, Y Wang, MR Lyu, I King IJCAI 2018, 2018 | 259 | 2018 |
| Towards automated log parsing for large-scale log data analysis P He, J Zhu, S He, J Li, MR Lyu IEEE Transactions on Dependable and Secure Computing 15 (6), 931-944, 2017 | 220 | 2017 |
| Multi-Head Attention with Disagreement Regularization J Li, Z Tu, B Yang, MR Lyu, T Zhang EMNLP 2018, 2018 | 173 | 2018 |
| Context-Aware Self-Attention Networks B Yang, J Li, D Wong, LS Chao, X Wang, Z Tu AAAI 2019, 2019 | 121 | 2019 |
| Information Aggregation for Multi-Head Attention with Routing-by-Agreement J Li, B Yang, ZY Dou, X Wang, MR Lyu, Z Tu NAACL 2019, 2019 | 46 | 2019 |
| MINER: Multi-Interest Matching Network for News Recommendation J Li, J Zhu, Q Bi, G Cai, L Shang, Z Dong, X Jiang, Q Liu Findings of ACL 2022, 2022 | 44 | 2022 |
| On the diversity of multi-head attention J Li, X Wang, Z Tu, MR Lyu Neurocomputing 454, 14-24, 2021 | 33 | 2021 |
| Neuron Interaction Based Representation Composition for Neural Machine Translation J Li, X Wang, B Yang, S Shi, MR Lyu, Z Tu AAAI 2020, 2019 | 21 | 2019 |
| Schema2QA: High-Quality and Low-Cost Q&A Agents for the Structured Web S Xu, G Campagna, J Li, MS Lam CIKM 2020, 2020 | 20 | 2020 |
| MTRec: Multi-Task Learning over BERT for News Recommendation Q Bi, J Li, L Shang, X Jiang, Q Liu, H Yang Findings of ACL 2022, 2022 | 19 | 2022 |
| DIGAT: Modeling News Recommendation with Dual-Graph Interaction Z Mao, J Li, H Wang, X Zeng, KF Wong Findings of EMNLP 2022, 2022 | 9 | 2022 |
| Controlled Text Generation Using Dictionary Prior in Variational Autoencoders X Fang, J Li, L Shang, X Jiang, Q Liu, DY Yeung Findings of ACL 2022, 2022 | 8 | 2022 |
| Adversarial Preference Optimization P Cheng, Y Yang, J Li, Y Dai, N Du arXiv preprint arXiv:2311.08045, 2023 | 6 | 2023 |
| Schema2QA: Answering Complex Queries on the Structured Web with a Neural Model S Xu, G Campagna, J Li, MS Lam arXiv preprint arXiv:2001.05609, 2020 | 5 | 2020 |
| Discrete Auto-regressive Variational Attention Models for Text Modeling X Fang, H Bai, J Li, Z Xu, M Lyu, I King IJCNN 2021, 2021 | 3 | 2021 |
| Are Large Language Models Good Prompt Optimizers? R Ma, X Wang, X Zhou, J Li, N Du, T Gui, Q Zhang, X Huang arXiv preprint arXiv:2402.02101, 2024 | 1 | 2024 |
| Look Before You Leap: Towards Decision-Aware and Generalizable Tool-Usage for Large Language Models A Gui, J Li, Y Dai, N Du, H Xiao arXiv preprint arXiv:2402.16696, 2024 | | 2024 |
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
