| Convergence analysis of distributed stochastic gradient descent with shuffling Q Meng, W Chen, Y Wang, ZM Ma, TY Liu Neurocomputing 337, 46-57, 2019 | 104 | 2019 |
| Finite sample analysis of the GTD policy evaluation algorithms in Markov setting Y Wang, W Chen, Y Liu, ZM Ma, TY Liu Advances in Neural Information Processing Systems 30, 2017 | 38 | 2017 |
| Target transfer Q-learning and its convergence analysis Y Wang, Y Liu, W Chen, ZM Ma, TY Liu Neurocomputing 392, 11-22, 2020 | 36 | 2020 |
| Generalization error bounds for optimization algorithms via stability Q Meng, Y Wang, W Chen, T Wang, ZM Ma, TY Liu Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 8 | 2017 |
| Gradient information matters in policy optimization by back-propagating through model C Li, Y Wang, W Chen, Y Liu, ZM Ma, TY Liu International Conference on Learning Representations, 2022 | 7 | 2022 |
| Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients L Ma, ET Rolls, X Liu, Y Liu, Z Jiao, Y Wang, W Gong, Z Ma, F Gong, ... Journal of Molecular Cell Biology 11 (8), 678-687, 2019 | 5 | 2019 |
| 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 | 4 | 2022 |
| The scale-invariant space for attention layer in neural network Y Wang, Y Liu, ZM Ma Neurocomputing 392, 1-10, 2020 | 4 | 2020 |
| DRVN (deep random vortex network): A new physics-informed machine learning method for simulating and inferring incompressible fluid flows R Zhang, P Hu, Q Meng, Y Wang, R Zhu, B Chen, ZM Ma, TY Liu Physics of Fluids 34 (10), 107112, 2022 | 1 | 2022 |
| Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations S Gong, P Hu, Q Meng, R Zhu, B Chen, Z Ma, H Ni, TY Liu AAAI, 2023 | | 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, 2023 | | 2023 |
| Making Better Decision by Directly Planning in Continuous Control J Zhu, Y Wang, L Wu, T Qin, W Zhou, TY Liu, H Li International Conference on Learning Representations, 2023 | | 2023 |
| Constructing the Basis Path Set by Eliminating the Path Dependency J Zhu, Q Meng, W Chen, Y Wang, Z Ma Journal of Systems Science and Complexity 35 (5), 1944-1962, 2022 | | 2022 |
| Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations R Zhang, P Hu, Q Meng, Y Wang, R Zhu, B Chen, ZM Ma, TY Liu arXiv preprint arXiv:2206.09571, 2022 | | 2022 |
