Yuan, Hao

9 publications

ICLR 2025 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

NeurIPS 2025 OPTFM: A Scalable Multi-View Graph Transformer for Hierarchical Pre-Training in Combinatorial Optimization Hao Yuan, Wenli Ouyang, Changwen Zhang, Congrui Li, Yong Sun

AAAI 2025 ReactGPT: Understanding of Chemical Reactions via In-Context Tuning Zhe Chen, Zhe Fang, Wenhao Tian, Zhaoguang Long, Changzhi Sun, Yuefeng Chen, Hao Yuan, Honglin Li, Man Lan

ICLR 2024 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

MLOSS 2021 DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Haiyang Yu, Zhao Xu, Jingtun Zhang, Yi Liu, Keqiang Yan, Haoran Liu, Cong Fu, Bora M Oztekin, Xuan Zhang, Shuiwang Ji

NeurIPSW 2021 Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks Meng Liu, Cong Fu, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji

ICML 2021 On Explainability of Graph Neural Networks via Subgraph Explorations Hao Yuan, Haiyang Yu, Jie Wang, Kang Li, Shuiwang Ji

ICLR 2020 StructPool: Structured Graph Pooling via Conditional Random Fields Hao Yuan, Shuiwang Ji

AAAI 2019 Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji