| An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging S Gong, Q Meng, J Zhang, H Qu, C Li, S Qian, W Du, ZM Ma, TY Liu Journal of High Energy Physics 2022 (3), 1-22, 2022 | 91 | 2022 |
| Does Lorentz-symmetric design boost network performance in jet physics? C Li, H Qu, S Qian, Q Meng, S Gong, J Zhang, TY Liu, Q Li Physical Review D 109 (5), 056003, 2024 | 16 | 2024 |
| Dynamic of stochastic gradient descent with state-dependent noise Q Meng, S Gong, W Chen, ZM Ma, TY Liu arXiv preprint arXiv:2006.13719, 2020 | 14 | 2020 |
| Neural operator with regularity structure for modeling dynamics driven by spdes P Hu, Q Meng, B Chen, S Gong, Y Wang, W Chen, R Zhu, ZM Ma, TY Liu arXiv preprint arXiv:2204.06255, 2022 | 7 | 2022 |
| Deep latent regularity network for modeling stochastic partial differential equations S Gong, P Hu, Q Meng, Y Wang, R Zhu, B Chen, Z Ma, H Ni, TY Liu Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7740-7747, 2023 | 2 | 2023 |
| Incorporating NODE with pre-trained neural differential operator for learning dynamics S Gong, Q Meng, Y Wang, L Wu, W Chen, Z Ma, TY Liu Neurocomputing 528, 48-58, 2023 | 2 | 2023 |
| Stochastic Lag Time Parameterization for Markov State Models of Protein Dynamics S Gong, X He, Q Meng, Z Ma, B Shao, T Wang, TY Liu The Journal of Physical Chemistry B 126 (46), 9465-9475, 2022 | 1 | 2022 |
| Optimal Market Making in the Chinese Stock Market: A Stochastic Control and Scenario Analysis S Gong, S Liu, DD Sun arXiv preprint arXiv:2306.02764, 2023 | | 2023 |
