| 2025 | ICLR | BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP. | Hao Yuan, Wenli Ouyang, Changwen Zhang, Yong Sun, Liming Gong, Junchi Yan |
| 2024 | ICLR | Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach. | Changwen Zhang, Wenli Ouyang, Hao Yuan, Liming Gong, Yong Sun, Ziao Guo, Zhichen Dong, Junchi Yan |
| 2024 | ICML | ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation. | Ziao Guo, Yang Li, Chang Liu, Wenli Ouyang, Junchi Yan |
| 2024 | ICML | MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness. | Yahong Zhang, Chenchen Fan, Donghui Chen, Congrui Li, Wenli Ouyang, Mingda Zhu, Junchi Yan |
| 2023 | ICASSP | Interpretable Multi-Scale Neural Network for Granger Causality Discovery. | Chenchen Fan, Yixin Wang, Yahong Zhang, Wenli Ouyang |
| 2023 | ICASSP | Long-Tailed Recognition with Causal Invariant Transformation. | Yahong Zhang, Sheng Shi, Chenchen Fan, Yixin Wang, Wenli Ouyang, WeiFan, Jianping Fan |
| 2023 | IJCNN | Learnable Query Guided Representation Learning for Treatment Effect Estimation. | Chenchen Fan, Yixin Wang, Yahong Zhang, Wenli Ouyang, Sheng Shi, Wei Fan, Jianping Fan |