A Communication-Efficient Parallel Method for Group-Lasso. - Binghong Chen; Jun Zhu 001 (CoRR, 2016)

Learning to Plan via Neural Exploration-Exploitation Trees. - Binghong Chen; Bo Dai 001; Le Song (CoRR, 2019)

GLAD: Learning Sparse Graph Recovery. - Harsh Shrivastava 001; Xinshi Chen; Binghong Chen; Guanghui Lan; Srinivas Aluru; Le Song (CoRR, 2019)

Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees. - Binghong Chen; Bo Dai 001; Qinjie Lin; Guo Ye; Han Liu 001; Le Song (ICLR, 2020)

GLAD: Learning Sparse Graph Recovery. - Harsh Shrivastava 001; Xinshi Chen; Binghong Chen; Guanghui Lan; Srinivas Aluru; Han Liu 001; Le Song (ICLR, 2020)

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

Molecule Optimization by Explainable Evolution. - Binghong Chen; Tianzhe Wang; Chengtao Li; Hanjun Dai; Le Song (ICLR, 2021)

Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients. - Yuyu Zhang; Heng Chi; Binghong Chen; Tsz Ling Elaine Tang; Lucia Mirabella; Le Song; Glaucio H. Paulino (IJCNN, 2021)

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

ProTo: Program-Guided Transformer for Program-Guided Tasks. - Zelin Zhao; Karan Samel; Binghong Chen; Le Song (NeurIPS, 2021)

ARBITRAR: User-Guided API Misuse Detection. - Ziyang Li; Aravind Machiry; Binghong Chen; Mayur Naik; Ke Wang; Le Song (SP, 2021)

How to Design Sample and Computationally Efficient VQA Models. - Karan Samel; Zelin Zhao; Binghong Chen; Kuan Wang; Robin Luo; Le Song (CoRR, 2021)

BioNavi-NP: Biosynthesis Navigator for Natural Products. - Shuangjia Zheng; Tao Zeng; Chengtao Li; Binghong Chen; Connor W. Coley; Yuedong Yang; Ruibo Wu (CoRR, 2021)

Graph Contrastive Pre-training for Effective Theorem Reasoning. - Zhaoyu Li; Binghong Chen; Xujie Si (CoRR, 2021)

Spanning Tree-based Graph Generation for Molecules. - Sungsoo Ahn; Binghong Chen; Tianzhe Wang; Le Song (ICLR, 2022)

Learning Temporal Rules from Noisy Timeseries Data. - Karan Samel; Zelin Zhao; Binghong Chen; Shuang Li 002; Dharmashankar Subramanian; Irfan Essa; Le Song (CoRR, 2022)

Learning to Improve Code Efficiency. - Binghong Chen; Daniel Tarlow; Kevin Swersky; Martin Maas 001; Pablo Ariel Heiber; Ashish Naik; Milad Hashemi; Parthasarathy Ranganathan (CoRR, 2022)

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 (NeurIPS, 2023)

PolyGET: Accelerating Polymer Simulations by Accurate and Generalizable Forcefield with Equivariant Transformer. - Rui Feng; Huan Tran; Aubrey Toland; Binghong Chen; Qi Zhu; Rampi Ramprasad; Chao Zhang (CoRR, 2023)

Learning-based search algorithm design. - Binghong Chen (2023)

SSD-MIR: Towards Medical Image Restoration With Structured Visual State Space Duality. - Binghong Chen; Zhengqian Zhang; Haiyu Wang; Tianshuo Yu; Dong Wang; Jialiang Wang; Junjun Ren; Yongzhuang Liu; Wei Jiang (BIBM, 2024)

Robust 3D reconstruction and cell-type deconvolution approach for spatial transcriptomics by hybrid graph learning and iterative computation. - Zhengqian Zhang; Binghong Chen; Jialiang Wang; Haiyu Wang; Tianshuo Yu; Junjun Ren; Mingtao Zhang; Chongyao Liu; Wei Jiang; Yongzhuang Liu (BIBM, 2024)

Improving preliminary clinical diagnosis accuracy through knowledge filtering techniques in consultation dialogues. - Ashu Abdul; Binghong Chen; Siginamsetty Phani; Jenhui Chen (Comput. Methods Programs Biomed., 2024)

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

RainSeer: Fine-Grained Rainfall Reconstruction via Physics-Guided Modeling. - Lin Chen 020; Jun Chen; Minghui Qiu; Shuxin Zhong; Binghong Chen; Kaishun Wu (CoRR, 2025)