Chen, Binghong

12 publications

IJCAI 2025 Multi-View Learning with Context-Guided Receptance for Image Denoising Binghong Chen, Tingting Chai, Wei Jiang, Yuanrong Xu, Guanglu Zhou, Xiangqian Wu

ICMLW 2024 Equivariant Transformer Forcefields for Molecular Conformer Generation Rui Feng, Binghong Chen, Chao Zhang

NeurIPS 2023 May the Force Be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations Rui Feng, Qi Zhu, Huan Tran, Binghong Chen, Aubrey Toland, Rampi Ramprasad, Chao Zhang

ICLR 2022 Spanning Tree-Based Graph Generation for Molecules Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song

NeurIPSW 2021 Large Scale Coordination Transfer for Cooperative Multi-Agent Reinforcement Learning Ethan Wang, Binghong Chen, Le Song

ICLR 2021 Molecule Optimization by Explainable Evolution Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song

NeurIPS 2021 ProTo: Program-Guided Transformer for Program-Guided Tasks Zelin Zhao, Karan Samel, Binghong Chen, Lee Song

NeurIPS 2021 Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning Jiani Huang, Ziyang Li, Binghong Chen, Karan Samel, Mayur Naik, Le Song, Xujie Si

NeurIPSW 2021 Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning Jiani Huang, Ziyang Li, Binghong Chen, Karan Samel, Mayur Naik, Le Song, Xujie Si

ICLR 2020 GLAD: Learning Sparse Graph Recovery Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinvas Aluru, Han Liu, Le Song

ICLR 2020 Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees Binghong Chen, Bo Dai, Qinjie Lin, Guo Ye, Han Liu, Le Song

ICML 2020 Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search Binghong Chen, Chengtao Li, Hanjun Dai, Le Song