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2020 – today
- 2022
[c9]Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song:
Spanning Tree-based Graph Generation for Molecules. ICLR 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 Heiber, Ashish Naik, Milad Hashemi, Parthasarathy Ranganathan:
Learning to Improve Code Efficiency. CoRR abs/2208.05297 (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. IEEE Symposium on Security and Privacy 2021: 1400-1415 - [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
- [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 - [i4]Binghong Chen, Chengtao Li, Hanjun Dai, Le Song:
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search. CoRR abs/2006.15820 (2020)
2010 – 2019
- 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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