BIMSA > Zuoqiang Shi
Professor Zuoqiang Shi

Affiliation: BIMSA , YMSC

Group: Computational Mathematics

Office: A3-4-310

Email: zqshi@bimsa.cn

Research Field: Numerical Methods for Partial Differential Equations, Image Processing

Biography

Zuoqiang Shi is a tenured professor at Yau Mathematical Sciences Center, Tsinghua University and a part-time researcher at BIMSA. His main research interests lie in numerical methods for partial differential equations, differential equation models in image processing and machine learning, and time-frequency analysis of nonlinear non-stationary signals. He has published over 50 articles in internationally renowned academic journals such as ACHA, the SIAM series, Advances in Mathematics, and ARMA.

Education Experience

  • 2006 - 2008      Caltech, United States      Applied & Computational Mathematics      Special doctoral student
  • 2003 - 2008      Zhou Pei-yuan Center for Applied Mathematics, Tsinghua University      Applied Mathematics      Doctor
  • 1999 - 2003      Tsinghua University      Mathematics      Bachelor

Work Experience

  • 2022 -      BIMSA      Professor
  • 2022 -      YMSC      Professor
  • 2019 - 2022      Department of Mathematical Sciences, Tsinghua University      Associate Professor
  • 2011 - 2019      YMSC      Associate Professor
  • 2008 - 2011      Caltech      Postdoctoral Scholar in Applied & Computational Mathematics

Publication

  • [1] Mengjia Cai, Jianying Zhu, Qi Zhang, Yu Xu, Zuoqiang Shi, Chenglong Bao, Mingxu Hu, Enhancing Density Maps by Removing the Majority of Particles in Single Particle Cryogenic Electron Microscopy Final Stacks, Journal of Visualized Experiments, 207 (2024)
  • [2] Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi, Diffusion Mechanism in Neural Network: Theory and Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(2), 667-680 (2024)
  • [3] Guozhi Dong, Hailong Guo and Zuoqiang Shi, Discontinuous Galerkin methods for the Laplace-Beltrami operator on point cloud(2024)
  • [4] Zhijun Zeng, Yihang Zheng, Youjia Zheng, Yubing Li, Zuoqiang Shi, He Sun, Neural Born series operator for biomedical ultrasound computed Tomography(2024)
  • [5] Yicheng Li, Weiye Gan, Zuoqiang Shi, Qian Lin, Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay, arXiv:2401.01599 (2024)
  • [6] Guozhi Dong, Hailong Guo, Chengrun Jiang, Zuoqiang Shi, Gradient enhanced ADMM Algorithm for dynamic optimal transport on surfaces(2024)
  • [7] Fukai Chen, Ziyang Liu, Guochang Lin, Junqing Chen, and Zuoqiang Shi, NSNO: Neumann Series Neural Operator for Solving Helmholtz Equations in Inhomogeneous Medium, Journal of Systems Science and Complexity, 37(2024), 2, 413-440
  • [8] Tangjun Wang, Chenglong Bao, Zuoqiang Shi, Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks(2024)
  • [9] Tangjun Wang, Zuoqiang Shi, A Nonlocal diffusion model with H1 convergence for Dirichlet Boundary, Communications in Mathematical Sciences(2024)
  • [10] Zuoqiang Shi, Nonlocal diffusion model with maximum principle(2024)
  • [11] Yueji Ma, Yanzun Meng, Dong Xiao, Zuoqiang Shi, Bin Wang, Flipping-based Iterative Surface Reconstruction for Unoriented Points, COMPUTER AIDED GEOMETRIC DESIGN, 111(102315) (2024)
  • [12] Weiye Gan, Qiang Du, Zuoqiang Shi, Γ-convergence of Nonlocal Dirichlet Energies with Penalty Formulations of Dirichlet Boundary Data, accepted by SIAM Journal on Mathematical Analysis (2024)
  • [13] Dong Xiao, Yueji Ma, Zuoqiang Shi, Shiqing Xin, Wenping Wang, Bailin Deng, Bin Wang, Winding Clearness for Differentiable Point Cloud Optimization, arXiv:2401.13639 (2024)
  • [14] Zhijun Zeng, Pipi Hu, Chenglong Bao, Yi Zhu, Zuoqiang Shi, Reconstruction of dynamical systems from data without time labels(2024)
  • [15] Weiye Gan, Xintong Liu, Yicheng Li, Zuoqiang Shi, A non-local gradient based approach of infinity Laplacian with Gamma-convergence(2024)
  • [16] Xiao Fan, Qi Zhang, Mingxu Hu, Hui Zhang, Jianying Zhu, Zuoqiang Shi, and Chenglong Bao, CryoTRANS: Quality Preserved Trajectory for Boosting Resolutions of Rare Conformations in cryo-EM, Preprint(2024)
  • [17] Tangjun Wang, Zehao Dou, Chenglong Bao, and Zuoqiang Shi, Diffusion Mechanism in Residual Neural Network: Theory and Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(2024), 2, 667-680
  • [18] Xiao Fan, Qi Zhang, Hui Zhang, Jianying Zhu, Lili Ju, Zuoqiang Shi, Mingxu Hu and Chenglong Bao, CryoTRANS: Predicting High-resolution Maps of Rare Conformations from Self-supervised Trajectories in Cryo-EM, Communications Biology, 7(1058) (2024)
  • [19] Jianying Zhu, Qi Zhang, Hui Zhang, Zuoqiang Shi, Mingxu Hu, Chenglong Bao, A minority of final stacks yields superior amplitude in single-particle cryo-EM, Nature Communications, 7822(2023), 14
  • [20] Dong Xiao, Zuoqiang Shi, Bin Wang, Alternately denoising and reconstructing unoriented point sets, Computers & Graphics, 116(2023), 139-149
  • [21] Hui Zhang, Dihan Zheng, Qiurong Wu, Nieng Yan, Zuoqiang Shi, Mingxu Hu, and Chenglong Bao, Addressing Preferred Orientation in Single-Particle cryo-EM through AI-generated Auxiliary Particles(2023)
  • [22] 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, CSIAM Transactions on Applied Mathematics(2023)
  • [23] Siyou Lin, Dong Xiao, Zuoqiang Shi, Bin Wang, Surface Reconstruction from Point Clouds without Normals by Parametrizing the Gauss Formula, ACM Transaction on Graphics(2023)
  • [24] Dong Xiao, Zuoqiang Shi, Siyu Lia, Bailin Deng, Bin Wang, Point normal orientation and surface reconstruction by incorporating isovalue constraints to Poisson equation, COMPUTER AIDED GEOMETRIC DESIGN(2023)
  • [25] Yajie Zhang, Zuoqiang Shi, A Second-Order Nonlocal Approximation for Manifold Poisson Model with Dirichlet Boundary, Research in the Mathematical Sciences(2023)
  • [26] Guochang Lin, Fukai Chen, Pipi Hu, Xiang Chen, Junqing Chen, Jun Wang, Zuoqiang Shi, BI-GreenNet: Learning Green's functions by boundary integral network, Communications in Mathematics and Statistics, 11(2023), 1, 103-129
  • [27] Xufeng Xiao, Xinlong Feng and Zuoqiang Shi, Efficient numerical simulation of Cahn-Hilliard type models by a dimension splitting method, COMPUTERS & MATHEMATICS WITH APPLICATIONS(2023)
  • [28] Xintong Liu, Xing Fu, Jianyu Wang, Leping Xiao, Zuoqiang Shi and Lingyun Qiu, Non-line-of-sight imaging with arbitrary illumination and detection pattern, Nature Communications, 14(1), p.3230(2023)
  • [29] Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, and Zuoqiang Shi, A Scalable Deep Learning Approach for Solving High-dimensional Dynamic Optimal Transport, SIAM Journal on Scientific Computing, 45(2023), 4, B544-B563
  • [30] Xintong Liu, Jianyu Wang, Leping Xiao, Xing Fu, Lingyun Qiu, Zuoqiang Shi, Few-shot Non-line-of-sight Imaging with Signal-surface Collaborative Regularization, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(2023)
  • [31] Jianyu Wang, Xintong Liu, Leping Xiao, Zuoqiang Shi, Lingyun Qiu, and Xing Fu, Non-line-of-sight Imaging with Signal Superresolution Network, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(2023)
  • [32] Huaming Ling, Chenglong Bao, Xin Liang, Zuoqiang Shi, Semi-Supervised Clustering via Dynamic Graph Structure Learning, arXiv:2209.02513(2022)
  • [33] Qiang Du, Zuoqiang Shi, A Nonlocal Stokes system with volume constraints, accepted by Numerical Mathematics: Theory, Methods and Applications(2022)
  • [34] Dihan Zheng, Chenglong Bao, Zuoqiang Shi, Haibin Ling, and Kaisheng Ma, Unsupervised Deep Learning Meets Chan-Vese Model, CSIAM Transactions on Applied Mathematics, 3(2022), 4, 662-691
  • [35] Yajie Zhang, Zuoqiang Shi, Truncation Error Analysis for an Accurate Nonlocal Manifold Poisson Model with Dirichlet Boundary, Communications In Mathematical Sciences(2022)
  • [36] Dong Xiao, Siyou Lin, Zuoqiang Shi, Bin Wang, Learning modified indicator functions for surface reconstruction, Computers & Graphics, 102(2022), 309-319
  • [37] Zuoqiang Shi, Bao Wang, Convergence of the weighted nonlocal Laplacian on random point cloud, Journal of Computational Mathematics, 39(2021), 6, 865
  • [38] 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 Transactions on Medical Imaging(2021)
  • [39] Yajie Zhang and Zuoqiang Shi, A Nonlocal Model of Elliptic Equation with Jump Coefficients on Manifold, Communications in Mathematical Sciences(2021)
  • [40] Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, and Chenglong Bao, An unsupervised deep learning approach for real-world image denoising, The Nineth International Conference on Learning Representations (ICLR), Virtual Event, May 3-7, 2021(2021)
  • [41] Xintong Liu, Jianyu Wang, Zhupeng Li, Zuoqiang Shi, Xing Fu, Lingyun Qiu, Non-line-of-sight Reconstruction with Signal-object Collaborative Regularization, Light-Sci. Appl., 10(1), -, 2021(2021)
  • [42] Wei Zhu, Zuoqiang Shi, Stanley Osher, Low dimensional manifold model in hyperspectral image reconstruction, Advances in Computer Vision and Pattern Recognition(2020), 295-317
  • [43] Bin Dong, Haocheng Ju, Yiping Lu, Zuoqiang Shi, CURE: Curvature Regularization For Missing Data Recovery, SIAM Journal on Imaging Sciences, 13(2020), 4, 2169-2188
  • [44] Bao Wang, Binjie Yuan, Zuoqiang Shi, Stanley Osher, EnResNet: ResNets Ensemble via the Feynman-Kac Formalism for Adversarial Defense and Beyond, SIAM Journal on Mathematics of Data Science, 2(2020), 3, 559-582
  • [45] Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, and Kaisheng Ma, Auxiliary Training: Towards Accurate and Robust Models, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, 2020(2020)
  • [46] Wenqi Tao, Zuoqiang Shi, Convergence of Laplacian spectra from random samples, Journal of Computational Mathematics, 38(2020), 6, 952-984
  • [47] Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, and Chenglong Bao, Task-Oriented Feature Distillation, Advances in Neural Information Processing Systems, 33(2020), 14759-14771
  • [48] Zonghan Yang, Yang Liu, Chenglong Bao, and Zuoqiang Shi, Interpolation between Residual and Non-Residual Networks, Proceedings of Machine Learning Research, 119(2020), 10736-10745
  • [49] Zuoqiang Shi, Nonlocal approximation of elliptic operators with anisotropic coefficients on manifold, Communications in Mathematical Sciences(2019)
  • [50] Zhen Li, Zuoqiang Shi, Jian Sun, Point integral method for elliptic equations with variable coefficients on point clouds, Communications in Computational Physics(2019)
  • [51] Haohan Li, Zuoqiang Shi, Xiaoping Wang, Weighted Nonlocal Total Variation in Image Processing, Methods and Applications of Analysis(2019)
  • [52] Bao Wang, Binjie Yuan, Zuoqiang Shi, and Stanley Osher, ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies, Advances in Neural Information Processing Systems, 32(2019)
  • [53] 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 Transactions on Medical Imaging(2019)
  • [54] Wei Zhu, Zuoqiang Shi, Stanley Osher, Scalable low dimensional manifold model in the reconstruction of noisy and incomplete hyperspectral images, 9th IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)(2018)
  • [55] Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley Osher, Deep Neural Networks with Interpolating Function as Output Activation, Neural Information Processing Systems(2018)
  • [56] Zuoqiang Shi, Stanley Osher, Wei Zhu, Generalization of the Weighted Nonlocal Laplacian in Low Dimensional Manifold Model, JOURNAL OF SCIENTIFIC COMPUTING(2018)
  • [57] Wenjia Lu , Zuoqiang Shi , Jian Sun, Bin Wang, Surface Reconstruction Based on Modified Gauss Formula, ACM Transactions on Graphics(2018)
  • [58] Zuoqiang Shi, Jian Sun, Minghao Tian, Harmonic extension on the point cloud, MULTISCALE MODELING & SIMULATION(2018)
  • [59] Siwei Yu, Stanley Osher, Jianwei Ma, Zuoqiang Shi, Noise attenuation in a low dimensional manifold, GEOPHYSICS(2017)
  • [60] Zhen Li and Zuoqiang Shi, A Flow Model of Neural Networks, arXiv:1708.06257(2017)
  • [61] Da Kuang, Zuoqiang Shi, Stanley Osher, Andrea Bertozzi, A Harmonic Extension Approach for Collaborative Ranking, International Symposium on Nonlinear Theory & Its Applications (2017)
  • [62] Chunguang Liu, Zuoqiang Shi, Thomas Y. Hou, A Two-Level Method for Sparse Time-Frequency Representation of Multiscale Data, Science China-Mathematics(2017)
  • [63] Thomas Y. Hou, Zuoqiang Shi, Sparse Time-Frequency decomposition for multiple signals with same frequencies, Advances in Data Science and Adaptive Analysis(2017)
  • [64] Yuequan Bao, Zuoqiang Shi, XiaoyuWang, Hui Li, Compressive sensing of wireless sensors based on group sparse optimization for structural health monitoring, Structural Control and Health Monitoring(2017)
  • [65] Zuoqiang Shi, Jian Sun, Convergence of the Point Integral method for Poisson equation on point cloud, Research in the Mathematical Sciences(2017)
  • [66] Zuoqiang Shi, Stanley Osher, Wei Zhu, Weighted Nonlocal Laplacian on Interpolation from Sparse Data, JOURNAL OF SCIENTIFIC COMPUTING(2017)
  • [67] Zhen Li, Zuoqiang Shi, Jian Sun, Point Integral Method for Solving Poisson-type Equations on Manifolds from Point Clouds with Convergence Guarantees, Communications in Computational Physics(2017)
  • [68] Zuoqiang Shi, Enforce the Dirichlet boundary condition by volume constraint in Point Integral method, Communications in Mathematical Sciences(2017)
  • [69] Stanley Osher, Zuoqiang Shi, Wei Zhu, Low dimensional manifold model for image processing, SIAM Journal on Imaging Sciences(2017)
  • [70] Zhen Li, Zuoqiang Shi, A convergent point integral method for isotropic elliptic equations on point cloud, MULTISCALE MODELING & SIMULATION(2016)
  • [71] Yuequan Bao, Zuoqiang Shi, James L. Beck, Hui Li, Thomas Y. Hou, Identification of time-varying cable tension forces based on adaptive sparse time-frequency analysis of cable vibrations, Structural Control and Health Monitoring(2016)
  • [72] Thomas Y. Hou, Zuoqiang Shi, Sparse Time-Frequency decomposition by dictionary adaptation, Philosophical Transactions A (2016)
  • [73] Chunguang Liu, Zuoqiang Shi and Thomas Y. Hou, On the Uniqueness of Sparse Time-Frequency Representation of Multiscale Data, SIAM: Multiscale Modeling & Simulation(2015)
  • [74] Thomas Y. Hou, Zuoqiang Shi, Extracting a shape function for a signal with intrawave frequency modulation, Philosophical Transactions A(2015)
  • [75] Thomas Y. Hou, Zuoqiang Shi, Peyman Tavallali, Sparse Time Frequency Representations and Dynamical Systems, Communications in Mathematical Sciences(2015)
  • [76] Peyman Tavallali, Thomas Y. Hou, Zuoqiang Shi, Extraction of Intrawave Signals Using Sparse Time-Frequency Representation Method, SIAM: Multiscale Modeling & Simulation(2014)
  • [77] Maolin Ci, Thomas Y. Hou, Zuoqiang Shi, A Multiscale Model Reduction Method for Partial Differential Equations, ESAIM-Mathematical Modelling and Numerical Analysis(2014)
  • [78] Thomas Y. Hou, Zuoqiang Shi, Peyman Tavallali, Convergence of a Data-Driven Time-Frequency Analysis Method, APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS(2014)
  • [79] Yuan Shi, King-Fai Li, Yuk L. Yung, Hartmut H. Aumann, Zuoqiang Shi, Thomas Y. Hou, A Decadal Microwave Record of Tropical Air Temperature from AMSU-A/Aqua Observations, Climate Dynamics(2013)
  • [80] Thomas Y. Hou, Zuoqiang Shi, Data-Driven Time-Frequency Analysis, APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS(2013)
  • [81] Thomas Y. Hou, Zuoqiang Shi, Sparse time-frequency representation of nonlinear and nonstationary data, Science China-Mathematics(2013)
  • [82] Thomas Y. Hou and Zuoqiang Shi, Dynamic Growth Estimates of Maximum Vorticity for 3D Incompressible Euler Equations and the SQG Model, Discrete and Continuous Dynamical Systems - A(2012)
  • [83] Thomas Y. Hou, Zuoqiang Shi, Shu Wang, On Singularity Formation of a 3D Model for Incompressible Navier-Stokes Equations, ADVANCES IN MATHEMATICS(2012)
  • [84] Thomas Y. Hou, Congming Li, Zuoqiang Shi,Shu Wang, Xinwei Yu, On Singularity Formation of a Nonlinear Nonlocal System, ARCHIVE FOR RATIONAL MECHANICS AND ANALYSIS(2011)
  • [85] Thomas Y. Hou, Zuoqiang Shi, Adaptive Data Analysis via Sparse Time-Frequency Representation, Advances in Data Science and Adaptive Analysis(2011)
  • [86] Zuoqiang Shi, Jiandong Wang, Zhigang Chen, Jianke Yang, Linear instability of two-dimensional low-amplitude gap solitons near band edges in periodic media, PHYSICAL REVIEW A(2008)
  • [87] Thomas Y. Hou, Zuoqiang Shi, Removing the Stiffness of Elastic Force from the Immersed Boundary Method for the 2D Stokes Equations, JOURNAL OF COMPUTATIONAL PHYSICS(2008)
  • [88] Thomas Y. Hou, Zuoqiang Shi, An Efficient Semi-Implicit Immersed Boundary Method for the Navier-Stokes Equations, JOURNAL OF COMPUTATIONAL PHYSICS(2008)
  • [89] Zuoqiang Shi, Jianke Yang, Solitary waves bifurcated from Bloch-band edges in two- dimensional periodic media, PHYSICAL REVIEW E(2007)
  • [90] Ziyang Liu, Fukai Chen, Junqing Chen, Lingyun Qiu, Zuoqiang Shi, Neumann Series-based Neural Operator for Solving Inverse Medium Problem, submitted to arXiv:2409.09480 (2024)
  • [91] Jiangong Pan, Wei Wan, Yuejin Zhang, Chenlong Bao and Zuoqiang Shi, A network based approach for unbalanced optimal transport on surfaces, submitted to arXiv:2407.21346 (2024)
  • [92] Yajie Zhang, Qiang Du, Zuoqiang Shi, Nonlocal Stokes equation with relaxation on the divergence free equation
  • [93] Siyou Lin, Zuoqiang Shi, Yebin Liu, Fast and Globally Consistent Normal Orientation based on the Winding Number Normal Consistency, accepted by SIGGRAPH Asia 2024
  • [94] Yueji Ma, Dong Xiao, Zuoqiang Shi, Bin Wang, Anisotropic Gauss Reconstruction for Unoriented Point Clouds, submitted to arXiv:2405

 

Update Time: 2024-10-31 11:29:44