Binghong Chen

According to our database, Binghong Chen authored at least 20 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Learning-based search algorithm design.

Binghong Chen

PhD thesis, 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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Learning to Improve Code Efficiency.

Binghong Chen, Daniel Tarlow, Kevin Swersky, Martin Maas, Pablo Ariel Heiber, Ashish Naik, Milad Hashemi, Parthasarathy Ranganathan

CoRR, 2022

Learning Temporal Rules from Noisy Timeseries Data.

Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song

CoRR, 2022

Spanning Tree-based Graph Generation for Molecules.

Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Graph Contrastive Pre-training for Effective Theorem Reasoning.

Zhaoyu Li, Binghong Chen, Xujie Si

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

How to Design Sample and Computationally Efficient VQA Models.

Karan Samel, Zelin Zhao, Binghong Chen, Kuan Wang, Robin Luo, Le Song

CoRR, 2021

ARBITRAR: User-Guided API Misuse Detection.

Ziyang Li, Aravind Machiry, Binghong Chen, Mayur Naik, Ke Wang, Le Song

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

ProTo: Program-Guided Transformer for Program-Guided Tasks.

Zelin Zhao, Karan Samel, Binghong Chen, Le Song

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning.

Jiani Huang, Ziyang Li, Binghong Chen, Karan Samel, Mayur Naik, Le Song, Xujie Si

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the International Joint Conference on Neural Networks, 2021

Molecule Optimization by Explainable Evolution.

Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search.

Binghong Chen, Chengtao Li, Hanjun Dai, Le Song

Proceedings of the 37th International Conference on Machine Learning, 2020

GLAD: Learning Sparse Graph Recovery.

Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Han Liu, Le Song

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees.

Binghong Chen, Bo Dai, Qinjie Lin, Guo Ye, Han Liu, Le Song

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

GLAD: Learning Sparse Graph Recovery.

Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Le Song

CoRR, 2019

Learning to Plan via Neural Exploration-Exploitation Trees.

Binghong Chen, Bo Dai, Le Song

CoRR, 2019

2016

A Communication-Efficient Parallel Method for Group-Lasso.

Binghong Chen, Jun Zhu

CoRR, 2016