| Reinforcement learning tracking control for robotic manipulator with kernel-based dynamic model Y Hu, W Wang, H Liu, L Liu IEEE transactions on neural networks and learning systems 31 (9), 3570-3578, 2019 | 50 | 2019 |
| Besov function approximation and binary classification on low-dimensional manifolds using convolutional residual networks H Liu, M Chen, T Zhao, W Liao International Conference on Machine Learning, 6770-6780, 2021 | 33 | 2021 |
| Curvature regularized surface reconstruction from point clouds Y He, SH Kang, H Liu SIAM Journal on Imaging Sciences 13 (4), 1834-1859, 2020 | 28 | 2020 |
| Deep nonparametric estimation of operators between infinite dimensional spaces H Liu, H Yang, M Chen, T Zhao, W Liao Journal of Machine Learning Research 25 (24), 1-67, 2024 | 26 | 2024 |
| A finite element/operator-splitting method for the numerical solution of the two dimensional elliptic Monge–Ampère equation R Glowinski, H Liu, S Leung, J Qian Journal of Scientific Computing 79, 1-47, 2019 | 26 | 2019 |
| A finite element/operator-splitting method for the numerical solution of the three dimensional Monge–Ampere equation H Liu, R Glowinski, S Leung, J Qian Journal of Scientific Computing 81, 2271-2302, 2019 | 23 | 2019 |
| Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint H Liu, M Chen, S Er, W Liao, T Zhang, T Zhao Proceedings of the 39th International Conference on Machine Learning, 2022 | 16 | 2022 |
| An operator-splitting method for the Gaussian curvature regularization model with applications to surface smoothing and imaging H Liu, XC Tai, R Glowinski SIAM Journal on Scientific Computing 44 (2), A935-A963, 2022 | 16 | 2022 |
| A color elastica model for vector-valued image regularization H Liu, XC Tai, R Kimmel, R Glowinski SIAM Journal on Imaging Sciences 14 (2), 717-748, 2021 | 14 | 2021 |
| Robust identification of differential equations by numerical techniques from a single set of noisy observation Y He, SH Kang, W Liao, H Liu, Y Liu SIAM Journal on Scientific Computing 44 (3), A1145-A1175, 2022 | 12* | 2022 |
| Doubly robust off-policy learning on low-dimensional manifolds by deep neural networks M Chen, H Liu, W Liao, T Zhao arXiv preprint arXiv:2011.01797, 2020 | 10 | 2020 |
| Fast algorithms for surface reconstruction from point cloud Y He, M Huska, SH Kang, H Liu Mathematical Methods in Image Processing and Inverse Problems: IPIP 2018 …, 2021 | 8 | 2021 |
| On the numerical solution of nonlinear eigenvalue problems for the Monge-Ampère operator. R Glowinski, S Leung, H Liu, J Qian ESAIM: Control, Optimisation & Calculus of Variations 26, 2020 | 8 | 2020 |
| A level set based variational principal flow method for nonparametric dimension reduction on Riemannian manifolds H Liu, Z Yao, S Leung, TF Chan SIAM Journal on Scientific Computing 39 (4), A1616-A1646, 2017 | 8 | 2017 |
| Elastica models for color image regularization H Liu, XC Tai, R Kimmel, R Glowinski SIAM Journal on Imaging Sciences 16 (1), 461-500, 2023 | 7 | 2023 |
| PottsMGNet: A mathematical explanation of encoder-decoder based neural networks XC Tai, H Liu, R Chan SIAM Journal on Imaging Sciences 17 (1), 540-594, 2024 | 6 | 2024 |
| Deep nonparametric estimation of intrinsic data structures by chart autoencoders: Generalization error and robustness H Liu, A Havrilla, R Lai, W Liao Applied and Computational Harmonic Analysis 68, 101602, 2024 | 6 | 2024 |
| Numerical Identification of Nonlocal Potential in Aggregation Y He, SH Kang, W Liao, H Liu, Y Liu Commun. Comput. Phys., 2022 | 6 | 2022 |
| An alternating direction explicit method for time evolution equations with applications to fractional differential equations H Liu, S Leung Methods and Applications of Analysis 26 (3), 249--268, 2019 | 6 | 2019 |
| Fast operator splitting methods for obstacle problems H Liu, D Wang Journal of Computational Physics 477, 111941, 2023 | 5 | 2023 |
Wenjing LiaoGeorgia Institute of Techonology在 gatech.edu 的电子邮件经过验证
