Learning cut selection for mixed-integer linear programming via hierarchical sequence model Z Wang, X Li, J Wang, Y Kuang, M Yuan, J Zeng, Y Zhang, F Wu The Eleventh International Conference on Learning Representations, 2023 | 23 | 2023 |
Sample-efficient reinforcement learning via conservative model-based actor-critic Z Wang, J Wang, Q Zhou, B Li, H Li Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8612-8620, 2022 | 15 | 2022 |
Efficient exploration in resource-restricted reinforcement learning Z Wang, T Pan, Q Zhou, J Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 10279 …, 2023 | 5 | 2023 |
Accelerate presolve in large-scale linear programming via reinforcement learning Y Kuang, X Li, J Wang, F Zhu, M Lu, Z Wang, J Zeng, H Li, Y Zhang, F Wu arXiv preprint arXiv:2310.11845, 2023 | 3 | 2023 |
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications X Li, F Zhu, HL Zhen, W Luo, M Lu, Y Huang, Z Fan, Z Zhou, Y Kuang, ... arXiv preprint arXiv:2401.05960, 2024 | 1 | 2024 |
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming H Ling, Z Wang, J Wang AAAI 2024, 2024 | | 2024 |
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design Z Wang, L Chen, J Wang, X Li, Y Bai, X Li, M Yuan, J Hao, Y Zhang, F Wu arXiv preprint arXiv:2309.03208, 2023 | | 2023 |