| Retro*: learning retrosynthetic planning with neural guided A* search B Chen, C Li, H Dai, L Song International conference on machine learning, 1608-1616, 2020 | 92 | 2020 |
| Learning to plan in high dimensions via neural exploration-exploitation trees B Chen, B Dai, Q Lin, G Ye, H Liu, L Song International Conference on Learning Representations, 2019 | 92* | 2019 |
| Scallop: From probabilistic deductive databases to scalable differentiable reasoning J Huang, Z Li, B Chen, K Samel, M Naik, L Song, X Si Advances in Neural Information Processing Systems 34, 25134-25145, 2021 | 47 | 2021 |
| Deep learning driven biosynthetic pathways navigation for natural products with BioNavi-NP S Zheng, T Zeng, C Li, B Chen, CW Coley, Y Yang, R Wu Nature Communications 13 (1), 3342, 2022 | 42 | 2022 |
| GLAD: Learning sparse graph recovery H Shrivastava, X Chen, B Chen, G Lan, S Aluru, H Liu, L Song arXiv preprint arXiv:1906.00271, 2019 | 35 | 2019 |
| Proto: Program-guided transformer for program-guided tasks Z Zhao, K Samel, B Chen Advances in neural information processing systems 34, 17021-17036, 2021 | 33 | 2021 |
| Molecule Optimization by Explainable Evolution B Chen, T Wang, C Li, H Dai, L Song International Conference on Learning Representations, 2021 | 23 | 2021 |
| Arbitrar: User-guided api misuse detection Z Li, A Machiry, B Chen, M Naik, K Wang, L Song 2021 IEEE Symposium on Security and Privacy (SP), 1400-1415, 2021 | 19 | 2021 |
| Spanning tree-based graph generation for molecules S Ahn, B Chen, T Wang, L Song International Conference on Learning Representations, 2021 | 16 | 2021 |
| Speeding up computational morphogenesis with online neural synthetic gradients Y Zhang, H Chi, B Chen, TLE Tang, L Mirabella, L Song, GH Paulino 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 11 | 2021 |
| May the force be with you: Unified force-centric pre-training for 3d molecular conformations R Feng, Q Zhu, H Tran, B Chen, A Toland, R Ramprasad, C Zhang Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Learning to improve code efficiency B Chen, D Tarlow, K Swersky, M Maas, P Heiber, A Naik, M Hashemi, ... arXiv preprint arXiv:2208.05297, 2022 | 3 | 2022 |
| Graph contrastive pre-training for effective theorem reasoning Z Li, B Chen, X Si arXiv preprint arXiv:2108.10821, 2021 | 3 | 2021 |
| Learning temporal rules from noisy timeseries data K Samel, Z Zhao, B Chen, S Li, D Subramanian, I Essa, L Song arXiv preprint arXiv:2202.05403, 2022 | 2 | 2022 |
| BioNavi-NP: Biosynthesis Navigator for Natural Products S Zheng, T Zeng, C Li, B Chen, CW Coley, Y Yang, R Wu arXiv preprint arXiv:2105.13121, 2021 | 2 | 2021 |
| How to design sample and computationally efficient vqa models K Samel, Z Zhao, B Chen, K Wang, R Luo, L Song arXiv preprint arXiv:2103.11537, 2021 | 2 | 2021 |
| PolyGET: Accelerating Polymer Simulations by Accurate and Generalizable Forcefield with Equivariant Transformer R Feng, H Tran, A Toland, B Chen, Q Zhu, R Ramprasad, C Zhang arXiv preprint arXiv:2309.00585, 2023 | | 2023 |
| Large Scale Coordination Transfer for Cooperative Multi-Agent Reinforcement Learning E Wang, B Chen, L Song Deep RL Workshop NeurIPS 2021, 2021 | | 2021 |
| Neural Temporal Logic Programming K Samel, Z Zhao, B Chen, S Li, D Subramanian, I Essa, L Song | | 2021 |
| PolyRetro: Few-shot Polymer Retrosynthesis via Domain Adaptation B Chen, C Li, H Dai, R Ramprasad, L Song | | 2020 |
