| GALOIS: boosting deep reinforcement learning via generalizable logic synthesis Y Cao, Z Li, T Yang, H Zhang, Y Zheng, Y Li, J Hao, Y Liu Advances in Neural Information Processing Systems 35, 19930-19943, 2022 | 28 | 2022 |
| LLMs for Relational Reasoning: How Far are We? Z Li, Y Cao, X Xu, J Jiang, X Liu, YS Teo, S Lin, Y Liu The First International Workshop on Large Language Models for Code, 2024 | 23 | 2024 |
| FAIRER: fairness as decision rationale alignment T Li, Q Guo, A Liu, M Du, Z Li, Y Liu International Conference on Machine Learning, 19471-19489, 2023 | 18 | 2023 |
| FedMut: Generalized federated learning via stochastic mutation M Hu, Y Cao, A Li, Z Li, C Liu, T Li, M Chen, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12528 …, 2024 | 16 | 2024 |
| Fairness via Group Contribution Matching. T Li, Z Li, A Li, M Du, A Liu, Q Guo, G Meng, Y Liu IJCAI, 436-445, 2023 | 9 | 2023 |
| Learning program semantics for vulnerability detection via vulnerability-specific inter-procedural slicing B Wu, S Liu, Y Xiao, Z Li, J Sun, SW Lin Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 7 | 2023 |
| Unveiling project-specific bias in neural code models Z Li, Y Li, T Li, M Du, B Wu, Y Cao, J Jiang, Y Liu Proceedings of the 2024 Joint International Conference on Computational …, 2022 | 5 | 2022 |
| Adabot: Fault-Tolerant Java Decompiler (Student Abstract) Z Li, Q Wu, K Qian Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13861 …, 2020 | 4* | 2020 |
| Improving neural logic machines via failure reflection Z Li, Y Cao, Y Zheng, X Liu, B Wu, T Li, X Xu, J Jiang, YS Teo, SW Lin, ... Forty-first International Conference on Machine Learning, 2024 | 3 | 2024 |
| Logic-guided Deep Reinforcement Learning for Stock Trading Z Li, J Jiang, Y Cao, A Cui, B Wu, B Li, Y Liu CoRR, 2023 | 1 | 2023 |
| Towards generalizable neural program understanding and synthesis Z Li Nanyang Technological University, 2024 | | 2024 |