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Journal Articles
- 2024
[j26]Yueji Ma, Yanzun Meng, Dong Xiao, Zuoqiang Shi, Bin Wang
:
Flipping-based iterative surface reconstruction for unoriented points. Comput. Aided Geom. Des. 111: 102315 (2024)- [j25]Fukai Chen, Ziyang Liu, Guochang Lin, Junqing Chen, Zuoqiang Shi:
NSNO: Neumann Series Neural Operator for Solving Helmholtz Equations in Inhomogeneous Medium. J. Syst. Sci. Complex. 37(2): 413-440 (2024) - [j24]Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi:
Diffusion Mechanism in Residual Neural Network: Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 667-680 (2024) - [j23]Leping Xiao, Jianyu Wang, Yi Wang, Ziyu Zhan, Zuoqiang Shi, Lingyun Qiu, Xing Fu:
Fast Non-Line-of-Sight Imaging With Hybrid Super-Resolution Network Over 18 m. IEEE Trans. Computational Imaging 10: 1439-1448 (2024) - 2023
- [j22]Dong Xiao, Zuoqiang Shi, Siyu Li, Bailin Deng, Bin Wang:
Point normal orientation and surface reconstruction by incorporating isovalue constraints to Poisson equation. Comput. Aided Geom. Des. 103: 102195 (2023) - [j21]Dong Xiao, Zuoqiang Shi, Bin Wang:
Alternately denoising and reconstructing unoriented point sets. Comput. Graph. 116: 139-149 (2023) - [j20]Xufeng Xiao, Xinlong Feng, Zuoqiang Shi:
Efficient numerical simulation of Cahn-Hilliard type models by a dimension splitting method. Comput. Math. Appl. 136: 54-70 (2023) - [j19]Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang Shi:
A Scalable Deep Learning Approach for Solving High-Dimensional Dynamic Optimal Transport. SIAM J. Sci. Comput. 45(4): 544- (2023) - [j18]Siyou Lin, Dong Xiao, Zuoqiang Shi, Bin Wang:
Surface Reconstruction from Point Clouds without Normals by Parametrizing the Gauss Formula. ACM Trans. Graph. 42(2): 14:1-14:19 (2023) - 2022
- [j17]Dong Xiao, Siyou Lin, Zuoqiang Shi, Bin Wang:
Learning modified indicator functions for surface reconstruction. Comput. Graph. 102: 309-319 (2022) - 2021
- [j16]Wenjun Xia, Zexin Lu, Yongqiang Huang, Zuoqiang Shi, Yan Liu, Hu Chen, Yang Chen, Jiliu Zhou, Yi Zhang:
MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction. IEEE Trans. Medical Imaging 40(12): 3459-3472 (2021) - 2020
- [j15]Bin Dong, Haocheng Ju, Yiping Lu, Zuoqiang Shi:
CURE: Curvature Regularization for Missing Data Recovery. SIAM J. Imaging Sci. 13(4): 2169-2188 (2020) - [j14]Bao Wang, Binjie Yuan, Zuoqiang Shi, Stanley J. Osher:
EnResNet: ResNets Ensemble via the Feynman-Kac Formalism for Adversarial Defense and Beyond. SIAM J. Math. Data Sci. 2(3): 559-582 (2020) - 2019
- [j13]Long Chen, Miaoyan Wang, Xu Zhang, Michael Zhang, Yucheng Hu, Zuoqiang Shi, Peng Xi, Juntao Gao:
Group-Sparsity-Based Super-Resolution Dipole Orientation Mapping. IEEE Trans. Medical Imaging 38(11): 2687-2694 (2019) - [j12]Wenjia Lu, Zuoqiang Shi, Jian Sun, Bin Wang:
Surface Reconstruction Based on the Modified Gauss Formula. ACM Trans. Graph. 38(1): 2:1-2:18 (2019) - 2018
- [j11]Zuoqiang Shi, Stanley J. Osher, Wei Zhu:
Generalization of the Weighted Nonlocal Laplacian in Low Dimensional Manifold Model. J. Sci. Comput. 75(2): 638-656 (2018) - [j10]Zuoqiang Shi, Jian Sun, Minghao Tian:
Harmonic Extension on The Point Cloud. Multiscale Model. Simul. 16(1): 215-247 (2018) - 2017
- [j9]Thomas Y. Hou, Zuoqiang Shi:
Sparse Time-Frequency Decomposition for Multiple Signals with Same Frequencies. Adv. Data Sci. Adapt. Anal. 9(4): 1750010:1-1750010:17 (2017) - [j8]Zuoqiang Shi, Stanley J. Osher, Wei Zhu:
Weighted Nonlocal Laplacian on Interpolation from Sparse Data. J. Sci. Comput. 73(2-3): 1164-1177 (2017) - [j7]Stanley J. Osher, Zuoqiang Shi, Wei Zhu:
Low Dimensional Manifold Model for Image Processing. SIAM J. Imaging Sci. 10(4): 1669-1690 (2017) - 2016
- [j6]Zhen Li, Zuoqiang Shi:
A Convergent Point Integral Method for Isotropic Elliptic Equations on a Point Cloud. Multiscale Model. Simul. 14(2): 874-905 (2016) - 2015
- [j5]Chunguang Liu, Zuoqiang Shi, Thomas Y. Hou:
On the Uniqueness of Sparse Time-Frequency Representation of Multiscale Data. Multiscale Model. Simul. 13(3): 790-811 (2015) - 2014
- [j4]Peyman Tavallali, Thomas Y. Hou, Zuoqiang Shi:
Extraction of Intrawave Signals Using the Sparse Time-Frequency Representation Method. Multiscale Model. Simul. 12(4): 1458-1493 (2014) - 2011
- [j3]Thomas Y. Hou, Zuoqiang Shi:
Adaptive Data Analysis via Sparse Time-Frequency Representation. Adv. Data Sci. Adapt. Anal. 3(1-2): 1-28 (2011) - 2008
- [j2]Thomas Y. Hou, Zuoqiang Shi:
An efficient semi-implicit immersed boundary method for the Navier-Stokes equations. J. Comput. Phys. 227(20): 8968-8991 (2008) - [j1]Thomas Y. Hou, Zuoqiang Shi:
Removing the stiffness of elastic force from the immersed boundary method for the 2D Stokes equations. J. Comput. Phys. 227(21): 9138-9169 (2008)
Conference and Workshop Papers
- 2023
- [c10]Xintong Liu, Jianyu Wang, Leping Xiao, Xing Fu, Lingyun Qiu, Zuoqiang Shi:
Few-Shot Non-Line-of-Sight Imaging with Signal-Surface Collaborative Regularization. CVPR 2023: 13303-13312 - [c9]Jianyu Wang, Xintong Liu, Leping Xiao, Zuoqiang Shi, Lingyun Qiu, Xing Fu:
Non-Line-of-Sight Imaging with Signal Superresolution Network. CVPR 2023: 17420-17429 - 2022
- [c8]Wenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang:
M2N: Mesh Movement Networks for PDE Solvers. NeurIPS 2022 - 2021
- [c7]Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao:
An Unsupervised Deep Learning Approach for Real-World Image Denoising. ICLR 2021 - 2020
- [c6]Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma:
Auxiliary Training: Towards Accurate and Robust Models. CVPR 2020: 369-378 - [c5]Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi:
Interpolation between Residual and Non-Residual Networks. ICML 2020: 10736-10745 - [c4]Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao:
Task-Oriented Feature Distillation. NeurIPS 2020 - 2019
- [c3]Bao Wang, Zuoqiang Shi, Stanley J. Osher:
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies. NeurIPS 2019: 1655-1665 - 2018
- [c2]Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher:
Deep Neural Nets with Interpolating Function as Output Activation. NeurIPS 2018: 751-761 - [c1]Wei Zhu, Zuoqiang Shi, Stanley J. Osher:
Scalable Low Dimensional Manifold Model In The Reconstruction Of Noisy And Incomplete Hyperspectral Images. WHISPERS 2018: 1-5
Informal and Other Publications
- 2024
- [i56]Yicheng Li, Weiye Gan, Zuoqiang Shi, Qian Lin:
Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay. CoRR abs/2401.01599 (2024) - [i55]Fukai Chen, Ziyang Liu, Guochang Lin, Junqing Chen, Zuoqiang Shi:
NSNO: Neumann Series Neural Operator for Solving Helmholtz Equations in Inhomogeneous Medium. CoRR abs/2401.13494 (2024) - [i54]Dong Xiao, Yueji Ma, Zuoqiang Shi, Shiqing Xin, Wenping Wang, Bailin Deng, Bin Wang:
Winding Clearness for Differentiable Point Cloud Optimization. CoRR abs/2401.13639 (2024) - [i53]Yajie Zhang, Zuoqiang Shi:
A Second-Order Nonlocal Approximation to Manifold Poisson Models with Neumann Boundary. CoRR abs/2403.05888 (2024) - [i52]Yajie Zhang, Qiang Du, Zuoqiang Shi:
Nonlocal Stokes equation with relaxation on the divergence free equation. CoRR abs/2403.07712 (2024) - [i51]Tangjun Wang, Chenglong Bao, Zuoqiang Shi:
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks. CoRR abs/2403.15726 (2024) - [i50]Siyou Lin, Zuoqiang Shi, Yebin Liu:
Fast and Globally Consistent Normal Orientation based on the Winding Number Normal Consistency. CoRR abs/2405.16634 (2024) - [i49]Yueji Ma, Dong Xiao, Zuoqiang Shi, Bin Wang:
Anisotropic Gauss Reconstruction for Unoriented Point Clouds. CoRR abs/2405.17193 (2024) - [i48]Guozhi Dong, Hailong Guo, Chengrun Jiang, Zuoqiang Shi:
Gradient enhanced ADMM Algorithm for dynamic optimal transport on surfaces. CoRR abs/2406.16285 (2024) - [i47]Tangjun Wang, Chenglong Bao, Zuoqiang Shi:
Interface Laplace Learning: Learnable Interface Term Helps Semi-Supervised Learning. CoRR abs/2408.05419 (2024) - [i46]Huaming Ling, Chenglong Bao, Jiebo Song, Zuoqiang Shi:
Fast and Scalable Semi-Supervised Learning for Multi-View Subspace Clustering. CoRR abs/2408.05707 (2024) - [i45]Wenqi Tao, Huaming Ling, Zuoqiang Shi, Bao Wang:
Deep Learning with Data Privacy via Residual Perturbation. CoRR abs/2408.05723 (2024) - [i44]Zuoqiang Shi:
On the implementation of linear finite element method for nonlocal diffusion model over 2D domain. CoRR abs/2408.15472 (2024) - [i43]Zuoqiang Shi:
Error analysis of conformal finite element method for nonlocal diffusion model. CoRR abs/2408.16243 (2024) - [i42]Ziyang Liu, Fukai Chen, Junqing Chen, Lingyun Qiu, Zuoqiang Shi:
Neumann Series-based Neural Operator for Solving Inverse Medium Problem. CoRR abs/2409.09480 (2024) - 2023
- [i41]Dong Xiao, Zuoqiang Shi, Bin Wang:
Alternately denoising and reconstructing unoriented point sets. CoRR abs/2305.00391 (2023) - [i40]Weiye Gan, Qiang Du, Zuoqiang Shi:
Γ-convergence of Nonlocal Dirichlet Energies With Penalty Formulations of Dirichlet Boundary Data. CoRR abs/2309.10352 (2023) - [i39]Hui Zhang, Dihan Zheng, Qiurong Wu, Nieng Yan, Zuoqiang Shi, Mingxu Hu, Chenglong Bao:
Addressing preferred orientation in single-particle cryo-EM through AI-generated auxiliary particles. CoRR abs/2309.14954 (2023) - [i38]Zuoqiang Shi:
Nonlocal diffusion model with maximum principle. CoRR abs/2310.01221 (2023) - [i37]Zhijun Zeng, Pipi Hu, Chenglong Bao, Yi Zhu, Zuoqiang Shi:
Reconstruction of dynamical systems from data without time labels. CoRR abs/2312.04038 (2023) - [i36]Zhijun Zeng, Yihang Zheng, Youjia Zheng, Yubing Li, Zuoqiang Shi, He Sun:
Neural Born Series Operator for Biomedical Ultrasound Computed Tomography. CoRR abs/2312.15575 (2023) - 2022
- [i35]Weiye Gan, Xintong Liu, Yicheng Li, Zuoqiang Shi:
A non-local gradient based approach of infinity Laplacian with Γ-convergence. CoRR abs/2202.04927 (2022) - [i34]Yajie Zhang, Zuoqiang Shi:
Truncation Error Analysis for an Accurate Nonlocal Manifold Poisson Model with Dirichlet Boundary. CoRR abs/2203.02120 (2022) - [i33]Qiang Du, Zuoqiang Shi:
A nonlocal Stokes system with volume constraints. CoRR abs/2203.14491 (2022) - [i32]Dihan Zheng, Chenglong Bao, Zuoqiang Shi, Haibin Ling, Kaisheng Ma:
Unsupervised Deep Learning Meets Chan-Vese Model. CoRR abs/2204.06951 (2022) - [i31]Wenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang:
M2N: Mesh Movement Networks for PDE Solvers. CoRR abs/2204.11188 (2022) - [i30]Guochang Lin, Fukai Chen, Pipi Hu, Xiang Chen, Junqing Chen, Jun Wang, Zuoqiang Shi:
BI-GreenNet: Learning Green's functions by boundary integral network. CoRR abs/2204.13247 (2022) - [i29]Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang Shi:
A scalable deep learning approach for solving high-dimensional dynamic optimal transport. CoRR abs/2205.07521 (2022) - [i28]Huaming Ling, Chenglong Bao, Xin Liang, Zuoqiang Shi:
Semi-Supervised Clustering via Dynamic Graph Structure Learning. CoRR abs/2209.02513 (2022) - [i27]Dong Xiao, Zuoqiang Shi, Siyu Li, Bailin Deng, Bin Wang:
Point Normal Orientation and Surface Reconstruction by Incorporating Isovalue Constraints to Poisson Equation. CoRR abs/2209.15619 (2022) - [i26]Xintong Liu, Jianyu Wang, Leping Xiao, Xing Fu, Lingyun Qiu, Zuoqiang Shi:
Few-shot Non-line-of-sight Imaging with Signal-surface Collaborative Regularization. CoRR abs/2211.15367 (2022) - 2021
- [i25]Yajie Zhang, Zuoqiang Shi:
A Second-Order Nonlocal Approximation for Surface Poisson Model with Dirichlet Boundary. CoRR abs/2101.01016 (2021) - [i24]Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi:
Diff-ResNets for Few-shot Learning - an ODE Perspective. CoRR abs/2105.03155 (2021) - [i23]Guochang Lin, Pipi Hu, Fukai Chen, Xiang Chen, Junqing Chen, Jun Wang, Zuoqiang Shi:
BINet: Learning to Solve Partial Differential Equations with Boundary Integral Networks. CoRR abs/2110.00352 (2021) - [i22]Tao Sun, Huaming Ling, Zuoqiang Shi, Dongsheng Li, Bao Wang:
Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization. CoRR abs/2110.09057 (2021) - [i21]Dong Xiao, Siyou Lin, Zuoqiang Shi, Bin Wang:
Learning Modified Indicator Functions for Surface Reconstruction. CoRR abs/2111.09526 (2021) - 2020
- [i20]Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi:
Interpolation between Residual and Non-Residual Networks. CoRR abs/2006.05749 (2020) - [i19]Guozhi Dong, Hailong Guo, Zuoqiang Shi:
Discontinuous Galerkin methods for the Laplace-Beltrami operator on point cloud. CoRR abs/2012.15433 (2020) - 2019
- [i18]Bin Dong, Haocheng Ju, Yiping Lu, Zuoqiang Shi:
CURE: Curvature Regularization For Missing Data Recovery. CoRR abs/1901.09548 (2019) - 2018
- [i17]Haohan Li, Zuoqiang Shi, Xiaoping Wang:
Weighted Nonlocal Total Variation in Image Processing. CoRR abs/1801.10441 (2018) - [i16]Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher:
Deep Learning with Data Dependent Implicit Activation Function. CoRR abs/1802.00168 (2018) - [i15]Bao Wang, Alex Tong Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher:
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization. CoRR abs/1809.08516 (2018) - [i14]Bao Wang, Binjie Yuan, Zuoqiang Shi, Stanley J. Osher:
EnResNet: ResNet Ensemble via the Feynman-Kac Formalism. CoRR abs/1811.10745 (2018) - 2017
- [i13]Zhen Li, Zuoqiang Shi:
Deep Residual Learning and PDEs on Manifold. CoRR abs/1708.05115 (2017) - [i12]Zhen Li, Zuoqiang Shi:
Notes: A Continuous Model of Neural Networks. Part I: Residual Networks. CoRR abs/1708.06257 (2017) - 2016
- [i11]Da Kuang, Zuoqiang Shi, Stanley J. Osher, Andrea L. Bertozzi:
A Harmonic Extension Approach for Collaborative Ranking. CoRR abs/1602.05127 (2016) - [i10]Zuoqiang Shi, Wei Zhu, Stanley J. Osher:
Low dimensional manifold model in hyperspectral image reconstruction. CoRR abs/1605.05652 (2016) - 2015
- [i9]Thomas Y. Hou, Zuoqiang Shi:
Extracting a shape function for a signal with intra-wave frequency modulation. CoRR abs/1501.04704 (2015) - [i8]Chunguang Liu, Thomas Y. Hou, Zuoqiang Shi:
On the Uniqueness of Sparse Time-Frequency Representation of Multiscale Data. CoRR abs/1501.04707 (2015) - [i7]Zuoqiang Shi:
Convergence of Laplacian spectra from random samples. CoRR abs/1507.00151 (2015) - [i6]Thomas Y. Hou, Zuoqiang Shi:
Sparse Time-Frequency decomposition for multiple signals with same frequencies. CoRR abs/1507.02037 (2015) - [i5]Zuoqiang Shi, Jian Sun, Minghao Tian:
Harmonic Extension. CoRR abs/1509.06458 (2015) - 2013
- [i4]Thomas Y. Hou, Zuoqiang Shi, Peyman Tavallali:
Convergence of a data-driven time-frequency analysis method. CoRR abs/1303.7048 (2013) - [i3]Thomas Y. Hou, Zuoqiang Shi:
Sparse Time-Frequency decomposition by adaptive basis pursuit. CoRR abs/1311.1163 (2013) - [i2]Thomas Y. Hou, Zuoqiang Shi, Peyman Tavallali:
Sparse Time Frequency Representations and Dynamical Systems. CoRR abs/1312.0202 (2013) - 2008
- [i1]Thomas Y. Hou, Zuoqiang Shi:
Removing the Stiffness of Elastic Force from the Immersed Boundary Method for the 2D Stokes Equations. CoRR abs/0801.2398 (2008)
Coauthor Index
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