De Novo Molecular Generation via Connection-aware Motif Mining Z Geng, S Xie, Y Xia, L Wu, T Qin, J Wang, Y Zhang, F Wu, TY Liu The Eleventh International Conference on Learning Representations 2023, 2023 | 26 | 2023 |
Learning task-relevant representations for generalization via characteristic functions of reward sequence distributions R Yang, J Wang, Z Geng, M Ye, S Ji, B Li, F Wu Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 18 | 2022 |
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability Z Geng, X Li, J Wang, X Li, Y Zhang, F Wu Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 12 | 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 | 3 | 2024 |
Reinforcement Learning within Tree Search for Fast Macro Placement Z Geng, J Wang, Z Liu, S Xu, Z Tang, M Yuan, HAO Jianye, Y Zhang, ... Forty-first International Conference on Machine Learning, 2024 | 2 | 2024 |
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling H Wang, Z Hao, J Wang, Z Geng, Z Wang, B Li, F Wu The Twelfth International Conference on Learning Representations ICLR 2024, 2024 | 2 | 2024 |
G2MILP: Learning to Generate Mixed-Integer Linear Programming Instances for MILP Solvers J Wang, Z Geng, X Li, J Hao, Y Zhang, F Wu Authorea Preprints, 2023 | 2* | 2023 |
Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution J Wang, R Yang, Z Geng, Z Shi, M Ye, Q Zhou, S Ji, B Li, Y Zhang, F Wu arXiv preprint arXiv:2302.09601, 2023 | 1 | 2023 |
Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms Z Wang, Z Geng, Z Tu, J Wang, Y Qian, Z Xu, Z Liu, S Xu, Z Tang, S Kai, ... arXiv preprint arXiv:2407.15026, 2024 | | 2024 |