| Invisible backdoor attack with sample-specific triggers Y Li, Y Li, B Wu, L Li, R He, S Lyu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 345 | 2021 |
| A Large-Scale Multiple-objective Method for Black-box Attack Against Object Detection S Liang, L Li, Y Fan, X Jia, J Li, B Wu, X Cao European Conference on Computer Vision, ECCV 2022, 619-636, 2022 | 21 | 2022 |
| Imitated Detectors: Stealing Knowledge of Black-box Object Detectors S Liang, A Liu, J Liang, L Li, Y Bai, X Cao Proceedings of the 30th ACM International Conference on Multimedia, 2022 | 15 | 2022 |
| Bilevel learning for large-scale flexible flow shop scheduling L Li, X Fu, HL Zhen, M Yuan, J Wang, J Lu, X Tong, J Zeng, D Schnieders Computers & Industrial Engineering 168, 108140, 2022 | 13* | 2022 |
| Learning to optimize permutation flow shop scheduling via graph-based imitation learning L Li, S Liang, Z Zhu, C Ding, H Zha, B Wu Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20185 …, 2024 | 3 | 2024 |
| Learning to accelerate approximate methods for solving integer programming via early fixing L Li, B Wu arXiv preprint arXiv:2207.02087, 2022 | 3 | 2022 |
| Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models L Li, G Chen, Y Su, Z Chen, Y Zhang, E Xing, K Zhang arXiv preprint arXiv:2402.12563, 2024 | 1 | 2024 |
| Federated Causal Discovery from Heterogeneous Data L Li, I Ng, G Luo, B Huang, G Chen, T Liu, B Gu, K Zhang International Conference on Learning Representations, 2024 | | 2024 |
| On Causal Discovery in the Presence of Deterministic Relations L Li, H Al Ghothani, B Huang, G Chen, J Zhang, S Harel, K Zhang | | 2024 |
