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Hao Liu 0028
Person information
- affiliation: Hong Kong Baptist University, Department of Mathematics, Hong Kong
- affiliation (former): Georgia Institute of Technology, Department of Mathematics, Atlanta, GA, USA
- affiliation (former): Hong Kong University of Science and Technology, Department of Mathematics, Hong Kong
Other persons with the same name
- Hao Liu — disambiguation page
- Hao Liu 0001
— Chinese Academy of Sciences, National Space Science Center, Key Laboratory of Microwave Remote Sensing, Beijing, China
- Hao Liu 0002
- Hao Liu 0003
- Hao Liu 0004
- Hao Liu 0005 — University College London, UK
- Hao Liu 0006 — Tsinghua University, Department of Computer Science and Technology, Key Laboratory of Pervasive Computing, Beijing, China
- Hao Liu 0007 — Stanford University, Department of Computer Science, Stanford, CA, USA (and 2 more)
- Hao Liu 0008
- Hao Liu 0009 — Technical University Eindhoven, Netherlands
- Hao Liu 0010 — Pioneer Suntec Electronic Technology Co., Ltd, Shanghai, China (and 1 more)
- Hao Liu 0011 — Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong (and 1 more)
- Hao Liu 0012
- Hao Liu 0013
- Hao Liu 0014 — Alcatel-Lucent, Shanghai, China
- Hao Liu 0015 — Duke University, Durham, NC, USA (and 1 more)
- Hao Liu 0016
- Hao Liu 0017 — Guangxi University of Technology, Liuzhou, China
- Hao Liu 0018 — Stanford University, CA, USA (and 1 more)
- Hao Liu 0019
- Hao Liu 0020 — University of Warwick, UK
- Hao Liu 0021 — LMA, Marseille, France
- Hao Liu 0022 — LIP6, Paris, France
- Hao Liu 0023
- Hao Liu 0024
- Hao Liu 0025 — New Jersey Institute of Technology (NJIT), Newark, NJ, USA
- Hao Liu 0026
- Hao Liu 0027
- Hao Liu 0029
- Hao Liu 0030
- Hao Liu 0031
- Hao Liu 0032
- Hao Liu 0033
- Hao Liu 0034
- Hao Liu 0035
- Hao Liu 0036
- Hao Liu 0037
- Hao Liu 0038
- Hao Liu 0039
- Hao Liu 0040 — Beijing Municipal Commission of Transport, Beijing Transportation Information Center, China (and 1 more)
- Hao Liu 0041
- Hao Liu 0042
- Hao Liu 0043
- Hao Liu 0044
- Hao Liu 0045
- Hao Liu 0046
- Hao Liu 0047
- Hao Liu 0048
- Hao Liu 0049
- Hao Liu 0050
- Hao Liu 0051
- Hao Liu 0052
- Hao Liu 0053
- Hao Liu 0054
- Hao Liu 0055 — University of California, Berkeley, CA, USA
- Hao Liu 0056
- Hao Liu 0057
- Hao Liu 0058
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2020 – today
- 2024
- [j15]Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao:
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces. J. Mach. Learn. Res. 25: 24:1-24:67 (2024) - [j14]Xue-Cheng Tai
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks. SIAM J. Imaging Sci. 17(1): 540-594 (2024) - [j13]Hao Liu
Operator-Splitting/Finite Element Methods for the Minkowski Problem. SIAM J. Sci. Comput. 46(5): 3230- (2024) - [j12]Hao Liu
Learning Functions Varying along a Central Subspace. SIAM J. Math. Data Sci. 6(2): 343-371 (2024) - [i24]Hao Liu, Jun Liu, Raymond H. Chan, Xue-Cheng Tai:
Double-well Net for Image Segmentation. CoRR abs/2401.00456 (2024) - [i23]Hao Liu, Biraj Dahal, Rongjie Lai, Wenjing Liao:
Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning. CoRR abs/2401.10490 (2024) - [i22]Hao Liu, Jiahui Cheng, Wenjing Liao:
Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation. CoRR abs/2406.05320 (2024) - 2023
- [j11]Yuchen He
Group Projected subspace pursuit for IDENTification of variable coefficient differential equations (GP-IDENT). J. Comput. Phys. 494: 112526 (2023) - [j10]Hao Liu
Elastica Models for Color Image Regularization. SIAM J. Imaging Sci. 16(1): 461-500 (2023) - [i21]Hao Liu, Alexander Havrilla, Rongjie Lai, Wenjing Liao:
Deep Nonparametric Estimation of Intrinsic Data Structures by Chart Autoencoders: Generalization Error and Robustness. CoRR abs/2303.09863 (2023) - [i20]Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu:
Group projected Subspace Pursuit for Identification of variable coefficient differential equations (GP-IDENT). CoRR abs/2304.05543 (2023) - [i19]Xue-Cheng Tai, Hao Liu, Raymond H. Chan:
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks. CoRR abs/2307.09039 (2023) - [i18]Hao Liu, Xue-Cheng Tai, Raymond H. Chan:
Connections between Operator-splitting Methods and Deep Neural Networks with Applications in Image Segmentation. CoRR abs/2307.09052 (2023) - [i17]Hao Liu, Shingyu Leung, Jianliang Qian:
Operator Splitting/Finite Element Methods for the Minkowski Problem. CoRR abs/2307.16497 (2023) - [i16]Mengyi Tang, Hao Liu, Wenjing Liao, Sung Ha Kang:
Fourier Features for Identifying Differential Equations (FourierIdent). CoRR abs/2311.16608 (2023) - 2022
- [j9]Hao Liu
An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications to Surface Smoothing and Imaging. SIAM J. Sci. Comput. 44(2): 935- (2022) - [j8]Yuchen He
Robust Identification of Differential Equations by Numerical Techniques from a Single Set of Noisy Observation. SIAM J. Sci. Comput. 44(3): 1145- (2022) - [c3]Hao Liu, Minshuo Chen, Siawpeng Er, Wenjing Liao, Tong Zhang, Tuo Zhao:
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint. ICML 2022: 13669-13703 - [i15]Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao:
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces. CoRR abs/2201.00217 (2022) - [i14]Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski:
Elastica Models for Color Image Regularization. CoRR abs/2203.09995 (2022) - [i13]Hao Liu, Shingyu Leung, Jianliang Qian:
An Efficient Operator-Splitting Method for the Eigenvalue Problem of the Monge-Ampère Equation. CoRR abs/2205.05828 (2022) - [i12]Hao Liu, Minshuo Chen, Siawpeng Er, Wenjing Liao, Tong Zhang, Tuo Zhao:
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint. CoRR abs/2206.04569 (2022) - [i11]Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu:
Numerical Identification of Nonlocal Potential in Aggregation. CoRR abs/2207.03358 (2022) - [i10]Jiahui Cheng, Minshuo Chen, Hao Liu, Tuo Zhao, Wenjing Liao:
High Dimensional Binary Classification under Label Shift: Phase Transition and Regularization. CoRR abs/2212.00700 (2022) - 2021
- [j7]Hao Liu
A Color Elastica Model for Vector-Valued Image Regularization. SIAM J. Imaging Sci. 14(2): 717-748 (2021) - [c2]Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao:
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks. ICML 2021: 6770-6780 - [i9]Hao Liu, Xue-Cheng Tai, Roland Glowinski:
An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications in Surface Smoothing and Imaging. CoRR abs/2108.01914 (2021) - [i8]Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao:
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks. CoRR abs/2109.02832 (2021) - 2020
- [j6]Yuchen He
Curvature Regularized Surface Reconstruction from Point Clouds. SIAM J. Imaging Sci. 13(4): 1834-1859 (2020) - [j5]Yazhou Hu
Reinforcement Learning Tracking Control for Robotic Manipulator With Kernel-Based Dynamic Model. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3570-3578 (2020) - [i7]Yuchen He, Sung Ha Kang, Hao Liu:
Curvature Regularized Surface Reconstruction from Point Cloud. CoRR abs/2001.07884 (2020) - [i6]Hao Liu, Shingyu Leung:
An Alternating Direction Explicit Method for Time Evolution Equations with Applications to Fractional Differential Equations. CoRR abs/2002.08461 (2020) - [i5]Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu
Robust PDE Identification from Noisy Data. CoRR abs/2006.06557 (2020) - [i4]Roland Glowinski, Shingyu Leung, Hao Liu, Jianliang Qian:
On the Numerical Solution of Nonlinear Eigenvalue Problems for the Monge-Ampère Operator. CoRR abs/2008.08103 (2020) - [i3]Hao Liu
A Color Elastica Model for Vector-Valued Image Regularization. CoRR abs/2008.08255 (2020) - [i2]Minshuo Chen, Hao Liu
Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks. CoRR abs/2011.01797 (2020)
2010 – 2019
- 2019
- [j4]Roland Glowinski, Hao Liu
A Finite Element/Operator-Splitting Method for the Numerical Solution of the Two Dimensional Elliptic Monge-Ampère Equation. J. Sci. Comput. 79(1): 1-47 (2019) - [j3]Roland Glowinski, Hao Liu
Correction to: A Finite Element/Operator-Splitting Method for the Numerical Solution of the Two Dimensional Elliptic Monge-Ampère Equation. J. Sci. Comput. 79(1): 48 (2019) - [j2]Hao Liu
A Finite Element/Operator-Splitting Method for the Numerical Solution of the Three Dimensional Monge-Ampère Equation. J. Sci. Comput. 81(3): 2271-2302 (2019) - [c1]Yazhou Hu, Wenxue Wang, Hao Liu
Robotic Tracking Control with Kernel Trick-based Reinforcement Learning. IROS 2019: 997-1002 - [i1]Yuchen He, Martin Huska, Sung Ha Kang, Hao Liu
Fast Algorithms for Surface Reconstruction from Point Cloud. CoRR abs/1907.01142 (2019) - 2017
- [j1]Hao Liu
A Level Set Based Variational Principal Flow Method for Nonparametric Dimension Reduction on Riemannian Manifolds. SIAM J. Sci. Comput. 39(4) (2017)
Coauthor Index
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last updated on 2024-11-11 21:30 CET by the dblp team
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