| Machine learning for prediction with missing dynamics J Harlim, SW Jiang, S Liang, H Yang Journal of Computational Physics 428, 109922, 2021 | 64 | 2021 |
| Instance enhancement batch normalization: An adaptive regulator of batch noise S Liang, Z Huang, M Liang, H Yang Proceedings of the AAAI conference on artificial intelligence 34 (04), 4819-4827, 2020 | 59 | 2020 |
| Quantifying the spatial homogeneity of urban road networks via graph neural networks J Xue, N Jiang, S Liang, Q Pang, T Yabe, SV Ukkusuri, J Ma Nature Machine Intelligence 4 (3), 246-257, 2022 | 46 | 2022 |
| Dianet: Dense-and-implicit attention network Z Huang, S Liang, M Liang, H Yang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4206-4214, 2020 | 44 | 2020 |
| Drop-activation: implicit parameter reduction and harmonious regularization S Liang, Y Khoo, H Yang Communications on Applied Mathematics and Computation 3, 293-311, 2021 | 33 | 2021 |
| Solving pdes on unknown manifolds with machine learning S Liang, SW Jiang, J Harlim, H Yang Applied and Computational Harmonic Analysis 71, 101652, 2024 | 17* | 2024 |
| Reproducing activation function for deep learning S Liang, L Lyu, C Wang, H Yang Communications in Mathematical Sciences 22 (2), 285 – 314, 2024 | 17 | 2024 |
| Stiffness-aware neural network for learning Hamiltonian systems S Liang, Z Huang, H Zhang International Conference on Learning Representations, 2022 | 16 | 2022 |
| Efficient attention network: Accelerate attention by searching where to plug Z Huang, S Liang, M Liang, W He, H Yang arXiv preprint arXiv:2011.14058, 2020 | 13 | 2020 |
| Stationary density estimation of itô diffusions using deep learning Y Gu, J Harlim, S Liang, H Yang SIAM Journal on Numerical Analysis 61 (1), 45-82, 2023 | 12* | 2023 |
| The Lottery Ticket Hypothesis for Self-attention Networks in Computer Vision Z Huang, S Liang, M Liang, H Yang, L Lin IEEE Conference on Multimedia Expo 2024, 2024 | 11* | 2024 |
| Blending pruning criteria for convolutional neural networks W He, Z Huang, M Liang, S Liang, H Yang Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 11 | 2021 |
| Finite expression method for solving high-dimensional partial differential equations S Liang, H Yang arXiv preprint arXiv:2206.10121, 2022 | 10 | 2022 |
| On fast simulation of dynamical system with neural vector enhanced numerical solver Z Huang, S Liang, H Zhang, H Yang, L Lin Scientific reports 13 (1), 15254, 2023 | 8* | 2023 |
| Layer-wise shared attention network on dynamical system perspective Z Huang, S Liang, M Liang, W He, L Lin arXiv preprint arXiv:2210.16101, 2022 | 5 | 2022 |
| Altersgd: Finding flat minima for continual learning by alternative training Z Huang, M Liang, S Liang, W He arXiv preprint arXiv:2107.05804, 2021 | 5 | 2021 |
| Optimizing Shot Assignment in Variational Quantum Eigensolver Measurement L Zhu, S Liang, C Yang, X Li Journal of Chemical Theory and Computation 20 (6), 2390-2403, 2024 | 3 | 2024 |
| Learning nonlinear integral operators via recurrent neural networks and its application in solving integro-differential equations H Bassi, Y Zhu, S Liang, J Yin, CC Reeves, V Vlček, C Yang Machine Learning with Applications 15, 100524, 2024 | 2 | 2024 |
| Probing reaction channels via reinforcement learning S Liang, AN Singh, Y Zhu, DT Limmer, C Yang Machine Learning: Science and Technology 4 (4), 2023 | 1 | 2023 |
| Artificial-Intelligence-Driven Shot Reduction in Quantum Measurement S Liang, L Zhu, X Liu, C Yang, X Li arXiv preprint arXiv:2405.02493, 2024 | | 2024 |
Haizhao YangDepartment of Mathematics, Department of Computer Science, University of Maryland College Park在 umd.edu 的电子邮件经过验证
