| Predicting COVID-19 in China using hybrid AI model N Zheng, S Du, J Wang, H Zhang, W Cui, Z Kang, T Yang, B Lou, Y Chi, ... IEEE transactions on cybernetics 50 (7), 2891-2904, 2020 | 331 | 2020 |
| Predicting equilibrium distributions for molecular systems with deep learning S Zheng, J He, C Liu, Y Shi, Z Lu, W Feng, F Ju, J Wang, J Zhu, Y Min, ... Nature Machine Intelligence, 1-10, 2024 | 84* | 2024 |
| SE (3) Equivariant Graph Neural Networks with Complete Local Frames W Du*, H Zhang*, Y Du, Q Meng, W Chen, N Zheng, B Shao, TY Liu International Conference on Machine Learning (ICML 2022), 5583-5608, 2022 | 72 | 2022 |
| Pre-training co-evolutionary protein representation via a pairwise masked language model L He, S Zhang, L Wu, H Xia, F Ju, H Zhang, S Liu, Y Xia, J Zhu, P Deng, ... arXiv preprint arXiv:2110.15527, 2021 | 32 | 2021 |
| A driving behavior recognition model with bi-LSTM and multi-scale CNN H Zhang, Z Nan, T Yang, Y Liu, N Zheng 2020 IEEE Intelligent Vehicles Symposium (IV), 284-289, 2020 | 21 | 2020 |
| Co-evolution Transformer for Protein Contact Prediction H Zhang*, F Ju*, J Zhu, L He, B Shao, N Zheng, TY Liu Advances in Neural Information Processing Systems (NeurIPS 2021) 34, 14252-14263, 2021 | 16 | 2021 |
| Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning H Zhang*, S Liu*, J You, C Liu, S Zheng, Z Lu, T Wang, N Zheng, B Shao Nature Computational Science 4 (3), 210-223, 2024 | 15 | 2024 |
| Traffic agent trajectory prediction using social convolution and attention mechanism T Yang, Z Nan, H Zhang, S Chen, N Zheng 2020 IEEE Intelligent Vehicles Symposium (IV), 278-283, 2020 | 15 | 2020 |
| Ab initio characterization of protein molecular dynamics with AI2BMD T Wang, X He, M Li, Y Li, R Bi, Y Wang, C Cheng, X Shen, J Meng, ... Nature, 1-9, 2024 | 9 | 2024 |
| A Flexible Diffusion Model W Du*, H Zhang*, T Yang*, Y Du* International Conference on Machine Learning (ICML 2023), 2022 | 7 | 2022 |
| Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction H Zhang, C Liu, Z Wang, X Wei, S Liu, N Zheng, B Shao, TY Liu Forty-first International Conference on Machine Learning (ICML 2024), 2024 | 4* | 2024 |
| Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models Z Wang, C Liu, N Zou, H Zhang, X Wei, L Huang, L Wu, B Shao Advances in Neural Information Processing Systems (NeurIPS 2024), 2024 | 1 | 2024 |
Tie-Yan LiuPresident, Zhongguancun Academy | IEEE Fellow | ACM Fellow | AAIA FellowAdresse e-mail validée de bjzgca.edu.cn