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Binghong Chen
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Books and Theses
- 2023
- [b1]Binghong Chen:
Learning-based search algorithm design. Georgia Institute of Technology, Atlanta, GA, USA, 2023
Journal Articles
- 2024
- [j1]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: 108051 (2024)
Conference and Workshop Papers
- 2023
- [c10]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 - 2022
- [c9]Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song:
Spanning Tree-based Graph Generation for Molecules. ICLR 2022 - 2021
- [c8]Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song:
Molecule Optimization by Explainable Evolution. ICLR 2021 - [c7]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: 1-8 - [c6]Zelin Zhao, Karan Samel, Binghong Chen, Le Song:
ProTo: Program-Guided Transformer for Program-Guided Tasks. NeurIPS 2021: 17021-17036 - [c5]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: 25134-25145 - [c4]Ziyang Li, Aravind Machiry, Binghong Chen, Mayur Naik, Ke Wang, Le Song:
ARBITRAR: User-Guided API Misuse Detection. SP 2021: 1400-1415 - 2020
- [c3]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 - [c2]Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Han Liu, Le Song:
GLAD: Learning Sparse Graph Recovery. ICLR 2020 - [c1]Binghong Chen, Chengtao Li, Hanjun Dai, Le Song:
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search. ICML 2020: 1608-1616
Informal and Other Publications
- 2023
- [i13]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 abs/2308.14759 (2023) - [i12]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 abs/2309.00585 (2023) - 2022
- [i11]Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song:
Learning Temporal Rules from Noisy Timeseries Data. CoRR abs/2202.05403 (2022) - [i10]Binghong Chen, Daniel Tarlow, Kevin Swersky, Martin Maas, Pablo Ariel Heiber, Ashish Naik, Milad Hashemi, Parthasarathy Ranganathan:
Learning to Improve Code Efficiency. CoRR abs/2208.05297 (2022) - 2021
- [i9]Karan Samel, Zelin Zhao, Binghong Chen, Kuan Wang, Robin Luo, Le Song:
How to Design Sample and Computationally Efficient VQA Models. CoRR abs/2103.11537 (2021) - [i8]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 abs/2104.12282 (2021) - [i7]Shuangjia Zheng, Tao Zeng, Chengtao Li, Binghong Chen, Connor W. Coley, Yuedong Yang, Ruibo Wu:
BioNavi-NP: Biosynthesis Navigator for Natural Products. CoRR abs/2105.13121 (2021) - [i6]Zhaoyu Li, Binghong Chen, Xujie Si:
Graph Contrastive Pre-training for Effective Theorem Reasoning. CoRR abs/2108.10821 (2021) - [i5]Zelin Zhao, Karan Samel, Binghong Chen, Le Song:
ProTo: Program-Guided Transformer for Program-Guided Tasks. CoRR abs/2110.00804 (2021) - 2020
- [i4]Binghong Chen, Chengtao Li, Hanjun Dai, Le Song:
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search. CoRR abs/2006.15820 (2020) - 2019
- [i3]Binghong Chen, Bo Dai, Le Song:
Learning to Plan via Neural Exploration-Exploitation Trees. CoRR abs/1903.00070 (2019) - [i2]Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Le Song:
GLAD: Learning Sparse Graph Recovery. CoRR abs/1906.00271 (2019) - 2016
- [i1]Binghong Chen, Jun Zhu:
A Communication-Efficient Parallel Method for Group-Lasso. CoRR abs/1612.02222 (2016)
Coauthor Index
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