| Sanger: A co-design framework for enabling sparse attention using reconfigurable architecture L Lu, Y Jin, H Bi, Z Luo, P Li, T Wang, Y Liang MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021 | 75 | 2021 |
| Uni-Fold: an open-source platform for developing protein folding models beyond AlphaFold Z Li, X Liu, W Chen, F Shen, H Bi, G Ke, L Zhang bioRxiv, 2022.08. 04.502811, 2022 | 38 | 2022 |
| Non-autoregressive electron redistribution modeling for reaction prediction H Bi, H Wang, C Shi, C Coley, J Tang, H Guo International Conference on Machine Learning, 904-913, 2021 | 24 | 2021 |
| DPA-1: Pretraining of attention-based deep potential model for molecular simulation D Zhang, H Bi, FZ Dai, W Jiang, L Zhang, H Wang arXiv preprint arXiv:2208.08236, 2022 | 23 | 2022 |
| DPA-2: Towards a universal large atomic model for molecular and material simulation D Zhang, X Liu, X Zhang, C Zhang, C Cai, H Bi, Y Du, X Qin, J Huang, B Li, ... arXiv preprint arXiv:2312.15492, 2023 | 13 | 2023 |
| Pretraining of attention-based deep learning potential model for molecular simulation D Zhang, H Bi, FZ Dai, W Jiang, X Liu, L Zhang, H Wang npj Computational Materials 10 (1), 94, 2024 | 3 | 2024 |
| Predicting ligand-RNA binding using E3-equivariant network and pretraining Z Deng, R Gu, H Bi, H Ma, X Wang, Z Zhang, H Wen Machine learning for structural biology workshop, NeurIPS, 2022 | 3 | 2022 |
| DPA-2: Towards a universal large atomic model for molecular and materials simulation H Wang, D Zhang, X Liu, X Zhang, C Zhang, C Cai, H Bi, Y Du, X Qin, ... | | 2024 |
| Fully Decentralized Model-based Policy Optimization with Networked Agents Y Liu, Y Du, R Lin, H Bi, M Wu, J Wang, H Dong | | |
Linfeng ZhangDP Technology; AI for Science Institute在 dp.tech 的电子邮件经过验证
