Hao Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 28

Top Topics

Numerical Solution

Infinite Dimensional

Surface Reconstruction

Robotic Manipulator

Top Venues

SIAM J. Imaging Sci.

SIAM J. Sci. Comput.

J. Sci. Comput.

Publications

Xue-Cheng Tai, Hao Liu, Raymond H. Chan
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks. SIAM J. Imaging Sci. 17 (1) (2024)
Hao Liu, Wenjing Liao
Learning Functions Varying along a Central Subspace. SIAM J. Math. Data Sci. 6 (2) (2024)
Hao Liu, Jun Liu, Raymond Chan, Xue-Cheng Tai
Double-well Net for Image Segmentation. CoRR (2024)
Xue-Cheng Tai, Hao Liu, Raymond Chan
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks. CoRR (2023)
Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
Elastica Models for Color Image Regularization. SIAM J. Imaging Sci. 16 (1) (2023)
Hao Liu, Xue-Cheng Tai, Roland Glowinski
An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications to Surface Smoothing and Imaging. SIAM J. Sci. Comput. 44 (2) (2022)
Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces. CoRR (2022)
Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu
Robust Identification of Differential Equations by Numerical Techniques from a Single Set of Noisy Observation. SIAM J. Sci. Comput. 44 (3) (2022)
Hao Liu, Minshuo Chen, Siawpeng Er, Wenjing Liao, Tong Zhang, Tuo Zhao
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint. CoRR (2022)
Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
Elastica Models for Color Image Regularization. CoRR (2022)
Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks. ICML (2021)
Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks. CoRR (2021)
Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
A Color Elastica Model for Vector-Valued Image Regularization. SIAM J. Imaging Sci. 14 (2) (2021)
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 (2021)
Yuchen He, Sung Ha Kang, Hao Liu
Curvature Regularized Surface Reconstruction from Point Cloud. CoRR (2020)
Yuchen He, Sung Ha Kang, Hao Liu
Curvature Regularized Surface Reconstruction from Point Clouds. SIAM J. Imaging Sci. 13 (4) (2020)
Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu
Robust PDE Identification from Noisy Data. CoRR (2020)
Hao Liu, Shingyu Leung
An Alternating Direction Explicit Method for Time Evolution Equations with Applications to Fractional Differential Equations. CoRR (2020)
Minshuo Chen, Hao Liu, Wenjing Liao, Tuo Zhao
Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks. CoRR (2020)
Roland Glowinski, Shingyu Leung, Hao Liu, Jianliang Qian
On the Numerical Solution of Nonlinear Eigenvalue Problems for the Monge-Ampère Operator. CoRR (2020)
Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
A Color Elastica Model for Vector-Valued Image Regularization. CoRR (2020)
Yazhou Hu, Wenxue Wang, Hao Liu, Lianqing Liu
Reinforcement Learning Tracking Control for Robotic Manipulator With Kernel-Based Dynamic Model. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
Yazhou Hu, Wenxue Wang, Hao Liu, Lianqing Liu
Robotic Tracking Control with Kernel Trick-based Reinforcement Learning. IROS (2019)
Hao Liu, Roland Glowinski, Shingyu Leung, Jianliang Qian
A Finite Element/Operator-Splitting Method for the Numerical Solution of the Three Dimensional Monge-Ampère Equation. J. Sci. Comput. 81 (3) (2019)
Roland Glowinski, Hao Liu, Shingyu Leung, Jianliang Qian
A Finite Element/Operator-Splitting Method for the Numerical Solution of the Two Dimensional Elliptic Monge-Ampère Equation. J. Sci. Comput. 79 (1) (2019)
Roland Glowinski, Hao Liu, Shingyu Leung, Jianliang Qian
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) (2019)
Yuchen He, Martin Huska, Sung Ha Kang, Hao Liu
Fast Algorithms for Surface Reconstruction from Point Cloud. CoRR (2019)
Hao Liu, Zhigang Yao, Shingyu Leung, Tony F. Chan
A Level Set Based Variational Principal Flow Method for Nonparametric Dimension Reduction on Riemannian Manifolds. SIAM J. Sci. Comput. 39 (4) (2017)