Binghong Chen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

High Dimensions

Top Venues

IEEE Symposium on Security and Privacy

Publications

Ashu Abdul, Binghong Chen, Siginamsetty Phani, Jenhui Chen
Improving preliminary clinical diagnosis accuracy through knowledge filtering techniques in consultation dialogues. Comput. Methods Programs Biomed. 246 (2024)
Rui Feng, Qi Zhu, Huan Tran, Binghong Chen, Aubrey Toland, Rampi Ramprasad, Chao Zhang
May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations. CoRR (2023)
Rui Feng, Huan Tran, Aubrey Toland, Binghong Chen, Qi Zhu, Rampi Ramprasad, Chao Zhang
PolyGET: Accelerating Polymer Simulations by Accurate and Generalizable Forcefield with Equivariant Transformer. CoRR (2023)
Rui Feng, Qi Zhu, Huan Tran, Binghong Chen, Aubrey Toland, Rampi Ramprasad, Chao Zhang
May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations. NeurIPS (2023)
Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song
Learning Temporal Rules from Noisy Timeseries Data. CoRR (2022)
Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song
Spanning Tree-based Graph Generation for Molecules. ICLR (2022)
Binghong Chen, Daniel Tarlow, Kevin Swersky, Martin Maas, Pablo Heiber, Ashish Naik, Milad Hashemi, Parthasarathy Ranganathan
Learning to Improve Code Efficiency. CoRR (2022)
Ziyang Li, Aravind Machiry, Binghong Chen, Mayur Naik, Ke Wang, Le Song
ARBITRAR: User-Guided API Misuse Detection. IEEE Symposium on Security and Privacy (2021)
Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, Glaucio H. Paulino
Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients. IJCNN (2021)
Karan Samel, Zelin Zhao, Binghong Chen, Kuan Wang, Robin Luo, Le Song
How to Design Sample and Computationally Efficient VQA Models. CoRR (2021)
Zhaoyu Li, Binghong Chen, Xujie Si
Graph Contrastive Pre-training for Effective Theorem Reasoning. CoRR (2021)
Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, Glaucio H. Paulino
Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients. CoRR (2021)
Jiani Huang, Ziyang Li, Binghong Chen, Karan Samel, Mayur Naik, Le Song, Xujie Si
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning. NeurIPS (2021)
Zelin Zhao, Karan Samel, Binghong Chen, Le Song
ProTo: Program-Guided Transformer for Program-Guided Tasks. NeurIPS (2021)
Shuangjia Zheng, Tao Zeng, Chengtao Li, Binghong Chen, Connor W. Coley, Yuedong Yang, Ruibo Wu
BioNavi-NP: Biosynthesis Navigator for Natural Products. CoRR (2021)
Zelin Zhao, Karan Samel, Binghong Chen, Le Song
ProTo: Program-Guided Transformer for Program-Guided Tasks. CoRR (2021)
Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song
Molecule Optimization by Explainable Evolution. ICLR (2021)
Binghong Chen, Bo Dai, Qinjie Lin, Guo Ye, Han Liu, Le Song
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees. ICLR (2020)
Binghong Chen, Chengtao Li, Hanjun Dai, Le Song
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search. ICML (2020)
Binghong Chen, Chengtao Li, Hanjun Dai, Le Song
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search. CoRR (2020)
Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Han Liu, Le Song
GLAD: Learning Sparse Graph Recovery. ICLR (2020)
Binghong Chen, Bo Dai, Le Song
Learning to Plan via Neural Exploration-Exploitation Trees. CoRR (2019)
Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Le Song
GLAD: Learning Sparse Graph Recovery. CoRR (2019)
Binghong Chen, Jun Zhu
A Communication-Efficient Parallel Method for Group-Lasso. CoRR (2016)