Bangti Jin - RankMe

165 papers B 1Journal 162Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A stable iterative direct sampling method for elliptic inverse problems with partial Cauchy data. J. Comput. Phys. Bangti Jin, Fengru Wang, Jun Zou
2026	J	`jnl`	On the contraction rate of the posterior distribution for nonlinear PDE parameter identification. CoRR Yuxin Fan, Bangti Jin
2026	J	`jnl`	Stochastic Gradient Descent for Nonlinear Inverse Problems in Banach Spaces. CoRR Bangti Jin, Zeljko Kereta, Yuxin Xia
2026	J	`jnl`	Unique and Stable Recovery of Space-Variable Order in Multidimensional Subdiffusion. SIAM J. Math. Anal. Jiho Hong, Bangti Jin, Yavar Kian
2025	J	`jnl`	A Stable Iterative Direct Sampling Method for Elliptic Inverse Problems with Partial Cauchy Data. CoRR Bangti Jin, Fengru Wang, Jun Zou
2025	J	`jnl`	A Warm-basis Method for Bridging Learning and Iteration: a Case Study in Fluorescence Molecular Tomography. CoRR Ruchi Guo, Jiahua Jiang, Bangti Jin, Wuwei Ren, Jianru Zhang
2025	J	`jnl`	Adaptive Approximations of Inclusions in a Semilinear Elliptic Problem Related to Cardiac Electrophysiology. CoRR Bangti Jin, Fengru Wang, Yifeng Xu
2025	J	`jnl`	An Iterative Deep Ritz Method for Monotone Elliptic Problems. CoRR Tianhao Hu, Bangti Jin, Fengru Wang
2025	J	`jnl`	An Iterative Direct Sampling Method for Reconstructing Moving Inhomogeneities in Parabolic Problems. CoRR Bangti Jin, Fengru Wang, Jun Zou
2025	J	`jnl`	An iterative deep Ritz method for monotone elliptic problems. J. Comput. Phys. Tianhao Hu, Bangti Jin, Fengru Wang
2025	J	`jnl`	Conditional Stability and Numerical Reconstruction of a Parabolic Inverse Source Problem Using Carleman Estimates. CoRR Tianhao Hu, Xinchi Huang, Bangti Jin, Qimeng Quan, Zhi Zhou
2025	J	`jnl`	Convergence Analysis of an Adaptive Nonconforming FEM for Phase-Field Dependent Topology Optimization in Stokes Flow. CoRR Bangti Jin, Jing Li, Yifeng Xu, Shengfeng Zhu
2025	J	`jnl`	Convergence of Stochastic Gradient Methods for Wide Two-Layer Physics-Informed Neural Networks. CoRR Bangti Jin, Longjun Wu
2025	J	`jnl`	Deep asymptotic expansion method for solving singularly perturbed time-dependent reaction-advection-diffusion equations. CoRR Qiao Zhu, Dmitrii Chaikovskii, Bangti Jin, Ye Zhang
2025	J	`jnl`	Direct Algorithms for Reconstructing Small Conductivity Inclusions in Subdiffusion. CoRR Jiho Hong, Bangti Jin, Zhizhang Wu
2025	J	`jnl`	Direct Algorithms for Reconstructing Small Conductivity Inclusions in Subdiffusion. Multiscale Model. Simul. Jiho Hong, Bangti Jin, Zhizhang Wu
2025	J	`jnl`	Identification of a Spatially-Dependent Variable Order in One-Dimensional Subdiffusion. SIAM J. Math. Anal. Jiho Hong, Bangti Jin, Yavar Kian
2025	J	`jnl`	Imaging anisotropic conductivity from internal measurements with mixed least-squares deep neural networks. J. Comput. Phys. Siyu Cen, Bangti Jin, Xiyao Li, Zhi Zhou
2025	J	`jnl`	Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data. CoRR Kazufumi Ito, Bangti Jin, Fengru Wang, Jun Zou
2025	J	`jnl`	Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data. SIAM J. Imaging Sci. Kazufumi Ito, Bangti Jin, Fengru Wang, Jun Zou
2025	J	`jnl`	Numerical Analysis of Unsupervised Learning Approaches for Parameter Identification in PDEs. CoRR Siyu Cen, Bangti Jin, Qimeng Quan, Zhi Zhou
2025	J	`jnl`	Numerical Approximation and Analysis of the Inverse Robin Problem Using the Kohn-Vogelius Method. CoRR Erik Burman, Siyu Cen, Bangti Jin, Zhi Zhou
2025	J	`jnl`	Numerical recovery of the diffusion coefficient in diffusion equations from terminal measurement. Numerische Mathematik Bangti Jin, Xiliang Lu, Qimeng Quan, Zhi Zhou
2025	J	`jnl`	On an Inverse Problem of the Generalized Bathtub Model of Network Trip Flows. SIAM J. Appl. Math. Kuang Huang, Bangti Jin, Zhi Zhou
2025	J	`jnl`	On the Crouzeix-Raviart Finite Element Approximation of Phase-Field Dependent Topology Optimization in Stokes Flow. CoRR Bangti Jin, Jing Li, Yifeng Xu, Shengfeng Zhu
2025	J	`jnl`	On the convergence of stochastic variance reduced gradient for linear inverse problems. CoRR Bangti Jin, Zehui Zhou
2025	J	`jnl`	On the uniqueness of the discrete Calderon problem on multi-dimensional lattices. CoRR Maolin Deng, Bangti Jin
2025	J	`jnl`	Optimizing Coarse Propagators in Parareal Algorithms. SIAM J. Sci. Comput. Bangti Jin, Qingle Lin, Zhi Zhou
2025	J	`jnl`	Point Source Identification in Subdiffusion from A Posteriori Internal Measurement. SIAM J. Appl. Math. Kuang Huang, Bangti Jin, Yavar Kian, Georges Sadaka, Zhi Zhou
2025	J	`jnl`	Regularity Analysis and High-Order Time Stepping Scheme for Quasilinear Subdiffusion. SIAM J. Numer. Anal. Bangti Jin, Qimeng Quan, Barbara I. Wohlmuth, Zhi Zhou
2025	J	`jnl`	Shallow neural network yields regularization for ill-posed inverse problems. CoRR Lan Wang, Qiao Zhu, Bangti Jin, Ye Zhang
2025	J	`jnl`	Simultaneous Identification of Coefficients and Source in a Subdiffusion Equation from One Passive Measurement. CoRR Maolin Deng, Ali Feizmohammadi, Bangti Jin, Yavar Kian
2025	J	`jnl`	Solving Inverse Acoustic Obstacle Scattering Problem with Phaseless Far-Field Measurement Using Deep Neural Network Surrogates. CoRR Yuxin Fan, Jiho Hong, Bangti Jin
2025	J	`jnl`	Solving elliptic optimal control problems via neural networks and optimality system. Adv. Comput. Math. Yongcheng Dai, Bangti Jin, Ramesh Chandra Sau, Zhi Zhou
2025	J	`jnl`	Stable Determination and Reconstruction of a Quasilinear Term in an Elliptic Equation. CoRR Jason Choy, Maolin Deng, Bangti Jin, Yavar Kian
2025	J	`jnl`	Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction. IEEE Trans. Medical Imaging Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae-Hoon Roh, Simon R. Arridge, Peter Maass, Bangti Jin, Jong Chul Ye
2025	J	`jnl`	Stochastic Convergence Analysis of the Inverse Potential Problem. SIAM/ASA J. Uncertain. Quantification Bangti Jin, Qimeng Quan, Wenlong Zhang
2025	J	`jnl`	The discrete inverse conductivity problem solved by the weights of an interpretable neural network. CoRR Elena Beretta, Maolin Deng, Alberto Gandolfi, Bangti Jin
2025	J	`jnl`	The discrete inverse conductivity problem solved by the weights of an interpretable neural network. J. Comput. Phys. Elena Beretta, Maolin Deng, Alberto Gandolfi, Bangti Jin
2024	J	`jnl`	An adaptive phase-field method for structural topology optimization. J. Comput. Phys. Bangti Jin, Jing Li, Yifeng Xu, Shengfeng Zhu
2024	J	`jnl`	Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks. SIAM J. Imaging Sci. Bangti Jin, Xiyao Li, Qimeng Quan, Zhi Zhou
2024	J	`jnl`	Discontinuous polynomial approximation in electrical impedance tomography with total variational regularization. Commun. Nonlinear Sci. Numer. Simul. Bangti Jin, Yifeng Xu, Jingrong Yang, Kai Zhang
2024	J	`jnl`	Early Stopping of Untrained Convolutional Neural Networks. CoRR Tim Jahn, Bangti Jin
2024	J	`jnl`	Early Stopping of Untrained Convolutional Neural Networks. SIAM J. Imaging Sci. Tim Jahn, Bangti Jin
2024	J	`jnl`	Image Reconstruction via Deep Image Prior Subspaces. Trans. Mach. Learn. Res. Riccardo Barbano, Javier Antorán, Johannes Leuschner, José Miguel Hernández-Lobato, Bangti Jin, Zeljko Kereta
2024	J	`jnl`	Imaging Anisotropic Conductivity from Internal Measurements with Mixed Least-Squares Deep Neural Networks. CoRR Siyu Cen, Bangti Jin, Xiyao Li, Zhi Zhou
2024	J	`jnl`	Inverse Coefficient Problem for One-Dimensional Subdiffusion with Data on Disjoint Sets in Time. CoRR Siyu Cen, Bangti Jin, Yavar Kian, Eric Soccorsi, Rachid Zarouf, Zhi Zhou
2024	J	`jnl`	Numerical Recovery of the Diffusion Coefficient in Diffusion Equations from Terminal Measurement. CoRR Bangti Jin, Xiliang Lu, Qimeng Quan, Zhi Zhou
2024	J	`jnl`	On an Inverse Problem of the Generalized Bathtub Model of Network Trip Flows. CoRR Kuang Huang, Bangti Jin, Zhi Zhou
2024	J	`jnl`	On the approximation of bi-Lipschitz maps by invertible neural networks. Neural Networks Bangti Jin, Zehui Zhou, Jun Zou
2024	J	`jnl`	Point Source Identification Using Singularity Enriched Neural Networks. CoRR Tianhao Hu, Bangti Jin, Zhi Zhou
2024	J	`jnl`	Point Source Identification in Subdiffusion from A Posteriori Internal Measurement. CoRR Kuang Huang, Bangti Jin, Yavar Kian, Georges Sadaka, Zhi Zhou
2024	J	`jnl`	Regularity Analysis and High-Order Time Stepping Scheme for Quasilinear Subdiffusion. CoRR Bangti Jin, Qimeng Quan, Barbara I. Wohlmuth, Zhi Zhou
2024	J	`jnl`	Solving Poisson Problems in Polygonal Domains with Singularity Enriched Physics Informed Neural Networks. SIAM J. Sci. Comput. Tianhao Hu, Bangti Jin, Zhi Zhou
2024	J	`jnl`	Stochastic Convergence Analysis of Inverse Potential Problem. CoRR Bangti Jin, Qimeng Quan, Wenlong Zhang
2024	J	`jnl`	Theory and Fast Learned Solver for ℓ CoRR Xinling Liu, Jianjun Wang, Bangti Jin
2023	J	`jnl`	An Adaptive Phase-Field Method for Structural Topology Optimization. CoRR Bangti Jin, Jing Li, Yifeng Xu, Shengfeng Zhu
2023	J	`jnl`	An Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction. IEEE Trans. Medical Imaging Robert Twyman, Simon R. Arridge, Zeljko Kereta, Bangti Jin, Ludovica Brusaferri, Sangtae Ahn, Charles W. Stearns, Brian F. Hutton, Irene A. Burger, Fotis Kotasidis, Kris Thielemans
2023	J	`jnl`	Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks. CoRR Bangti Jin, Xiyao Li, Qimeng Quan, Zhi Zhou
2023	J	`jnl`	Electrical Impedance Tomography with Deep Calderón Method. CoRR Siyu Cen, Bangti Jin, Kwancheol Shin, Zhi Zhou
2023	J	`jnl`	Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches. CoRR Derick Nganyu Tanyu, Jianfeng Ning, Andreas Hauptmann, Bangti Jin, Peter Maass
2023	J	`jnl`	Electrical impedance tomography with deep Calderón method. J. Comput. Phys. Siyu Cen, Bangti Jin, Kwancheol Shin, Zhi Zhou
2023	J	`jnl`	Fast and Painless Image Reconstruction in Deep Image Prior Subspaces. CoRR Riccardo Barbano, Javier Antorán, Johannes Leuschner, José Miguel Hernández-Lobato, Zeljko Kereta, Bangti Jin
2023	J	`jnl`	Hybrid Neural-Network FEM Approximation of Diffusion Coefficient in Elliptic and Parabolic Problems. CoRR Siyu Cen, Bangti Jin, Qimeng Quan, Zhi Zhou
2023	J	`jnl`	Inverse Problems for Subdiffusion from Observation at an Unknown Terminal Time. SIAM J. Appl. Math. Bangti Jin, Yavar Kian, Zhi Zhou
2023	J	`jnl`	Learning Coarse Propagators in Parareal Algorithm. CoRR Bangti Jin, Qingle Lin, Zhi Zhou
2023	J	`jnl`	Numerical Recovery of a Time-Dependent Potential in Subdiffusion. CoRR Bangti Jin, Kwancheol Shin, Zhi Zhou
2023	J	`jnl`	On the Approximation of Bi-Lipschitz Maps by Invertible Neural Networks. CoRR Bangti Jin, Zehui Zhou, Jun Zou
2023	J	`jnl`	On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces. CoRR Zeljko Kereta, Bangti Jin
2023	J	`jnl`	On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces. SIAM J. Imaging Sci. Bangti Jin, Zeljko Kereta
2023	J	`jnl`	Recovery of Multiple Parameters in Subdiffusion from One Lateral Boundary Measurement. CoRR Siyu Cen, Bangti Jin, Yikan Liu, Zhi Zhou
2023	—	`conf`	SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction. MIDL Marco Nittscher, Michael Falk Lameter, Riccardo Barbano, Johannes Leuschner, Bangti Jin, Peter Maass
2023	J	`jnl`	SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction. CoRR Marco Nittscher, Michael Lameter, Riccardo Barbano, Johannes Leuschner, Bangti Jin, Peter Maass
2023	J	`jnl`	Score-Based Generative Models for PET Image Reconstruction. CoRR Imraj RD Singh, Alexander Denker, Riccardo Barbano, Zeljko Kereta, Bangti Jin, Kris Thielemans, Peter Maass, Simon R. Arridge
2023	J	`jnl`	Solving Elliptic Optimal Control Problems using Physics Informed Neural Networks. CoRR Bangti Jin, Ramesh Sau, Luowei Yin, Zhi Zhou
2023	J	`jnl`	Solving Elliptic Problems with Singular Sources Using Singularity Splitting Deep Ritz Method. SIAM J. Sci. Comput. Tianhao Hu, Bangti Jin, Zhi Zhou
2023	J	`jnl`	Solving Inverse Obstacle Scattering Problem with Latent Surface Representations. CoRR Junqing Chen, Bangti Jin, Haibo Liu
2023	J	`jnl`	Solving Poisson Problems in Polygonal Domains with Singularity Enriched Physics Informed Neural Networks. CoRR Tianhao Hu, Bangti Jin, Zhi Zhou
2023	J	`jnl`	Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems. CoRR Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae-Hoon Roh, Simon Arrdige, Peter Maass, Bangti Jin, Jong Chul Ye
2023	J	`jnl`	Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior. Trans. Mach. Learn. Res. Javier Antorán, Riccardo Barbano, Johannes Leuschner, José Miguel Hernández-Lobato, Bangti Jin
2022	J	`jnl`	A Probabilistic Deep Image Prior for Computational Tomography. CoRR Javier Antorán, Riccardo Barbano, Johannes Leuschner, José Miguel Hernández-Lobato, Bangti Jin
2022	J	`jnl`	An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction. IEEE Trans. Computational Imaging Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maass, Bangti Jin
2022	J	`jnl`	Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior. CoRR Riccardo Barbano, Johannes Leuschner, Javier Antorán, Bangti Jin, José Miguel Hernández-Lobato
2022	J	`jnl`	Convergence Rate Analysis of Galerkin Approximation of Inverse Potential Problem. CoRR Bangti Jin, Xiliang Lu, Qimeng Quan, Zhi Zhou
2022	J	`jnl`	Imaging Anisotropic Conductivities from Current Densities. CoRR Huan Liu, Bangti Jin, Xiliang Lu
2022	J	`jnl`	Imaging Anisotropic Conductivities from Current Densities. SIAM J. Imaging Sci. Huan Liu, Bangti Jin, Xiliang Lu
2022	J	`jnl`	Imaging Conductivity from Current Density Magnitude using Neural Networks. CoRR Bangti Jin, Xiyao Li, Xiliang Lu
2022	J	`jnl`	Inverse Problems for Subdiffusion from Observation at an Unknown Terminal Time. CoRR Bangti Jin, Yavar Kian, Zhi Zhou
2022	J	`jnl`	Recovery of a Distributed Order Fractional Derivative in an Unknown Medium. CoRR Bangti Jin, Yavar Kian
2022	J	`jnl`	Recovery of the Order of Derivation for Fractional Diffusion Equations in an Unknown Medium. SIAM J. Appl. Math. Bangti Jin, Yavar Kian
2022	J	`jnl`	Solving Elliptic Problems with Singular Sources using Singularity Splitting Deep Ritz Method. CoRR Tianhao Hu, Bangti Jin, Zhi Zhou
2021	J	`jnl`	An Analysis of Stochastic Variance Reduced Gradient for Linear Inverse Problems. CoRR Bangti Jin, Zehui Zhou, Jun Zou
2021	J	`jnl`	Conditional Variational Autoencoder for Learned Image Reconstruction. Comput. Chen Zhang, Riccardo Barbano, Bangti Jin
2021	J	`jnl`	Conditional Variational Autoencoder for Learned Image Reconstruction. CoRR Chen Zhang, Riccardo Barbano, Bangti Jin
2021	J	`jnl`	Error Analysis of Finite Element Approximations of Diffusion Coefficient Identification for Elliptic and Parabolic Problems. SIAM J. Numer. Anal. Bangti Jin, Zhi Zhou
2021	J	`jnl`	Is Deep Image Prior in Need of a Good Education? CoRR Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maaß, Bangti Jin
2021	J	`jnl`	Numerical Estimation of a Diffusion Coefficient in Subdiffusion. SIAM J. Control. Optim. Bangti Jin, Zhi Zhou
2021	J	`jnl`	On the Saturation Phenomenon of Stochastic Gradient Descent for Linear Inverse Problems. SIAM/ASA J. Uncertain. Quantification Bangti Jin, Zehui Zhou, Jun Zou
2021	J	`jnl`	Reconstruction of a Space-Time Dependent Source in Subdiffusion Models via a Perturbation Approach. CoRR Bangti Jin, Yavar Kian, Zhi Zhou
2021	J	`jnl`	Reconstruction of a Space-Time-Dependent Source in Subdiffusion Models via a Perturbation Approach. SIAM J. Math. Anal. Bangti Jin, Yavar Kian, Zhi Zhou
2021	J	`jnl`	Recovering Multiple Fractional Orders in Time-Fractional Diffusion in an Unknown Medium. CoRR Bangti Jin, Yavar Kian
2021	J	`jnl`	Recovering the Potential in One-Dimensional Time-Fractional Diffusion with Unknown Initial Condition and Source. CoRR Bangti Jin, Zhi Zhou
2021	J	`jnl`	Recovery of a Space-Time Dependent Diffusion Coefficient in Subdiffusion: Stability, Approximation and Error Analysis. CoRR Bangti Jin, Zhi Zhou
2021	J	`jnl`	Recovery of the Order of Derivation for Fractional Diffusion Equations in an Unknown Medium. CoRR Bangti Jin, Yavar Kian
2021	J	`jnl`	Stochastic EM methods with Variance Reduction for Penalised PET Reconstructions. CoRR Zeljko Kereta, Robert Twyman, Simon R. Arridge, Kris Thielemans, Bangti Jin
2021	J	`jnl`	Unsupervised Knowledge-Transfer for Learned Image Reconstruction. CoRR Riccardo Barbano, Zeljko Kereta, Andreas Hauptmann, Simon R. Arridge, Bangti Jin
2020	J	`jnl`	An Inverse Potential Problem for Subdiffusion: Stability and Reconstruction. CoRR Bangti Jin, Zhi Zhou
2020	J	`jnl`	Error Analysis of Finite Element Approximations of Diffusion Coefficient Identification for Elliptic and Parabolic Problems. CoRR Bangti Jin, Zhi Zhou
2020	J	`jnl`	Incomplete iterative solution of subdiffusion. Numerische Mathematik Bangti Jin, Zhi Zhou
2020	J	`jnl`	L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset. CoRR Tobias Kluth, Bangti Jin
2020	J	`jnl`	On the Convergence of Stochastic Gradient Descent for Nonlinear Ill-Posed Problems. SIAM J. Optim. Bangti Jin, Zehui Zhou, Jun Zou
2020	J	`jnl`	On the Discrepancy Principle for Stochastic Gradient Descent. CoRR Tim Jahn, Bangti Jin
2020	J	`jnl`	On the Saturation Phenomenon of Stochastic Gradient Descent for Linear Inverse Problems. CoRR Bangti Jin, Zehui Zhou, Jun Zou
2020	B	`conf`	Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent. ICPR Riccardo Barbano, Chen Zhang, Simon R. Arridge, Bangti Jin
2020	J	`jnl`	Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent. CoRR Riccardo Barbano, Chen Zhang, Simon R. Arridge, Bangti Jin
2020	J	`jnl`	Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction. CoRR Riccardo Barbano, Zeljko Kereta, Chen Zhang, Andreas Hauptmann, Simon R. Arridge, Bangti Jin
2020	J	`jnl`	Subdiffusion with Time-Dependent Coefficients: Improved Regularity and Second-Order Time Stepping. CoRR Bangti Jin, Buyang Li, Zhi Zhou
2020	J	`jnl`	Subdiffusion with time-dependent coefficients: improved regularity and second-order time stepping. Numerische Mathematik Bangti Jin, Buyang Li, Zhi Zhou
2019	J	`jnl`	A Parameter Choice Rule for Tikhonov Regularization Based on Predictive Risk. CoRR Federico Benvenuto, Bangti Jin
2019	J	`jnl`	Incomplete Iterative Solution of the Subdiffusion Problem. CoRR Bangti Jin, Zhi Zhou
2019	J	`jnl`	Numerical Estimation of a Diffusion Coefficient in Subdiffusion. CoRR Bangti Jin, Zhi Zhou
2019	J	`jnl`	On the Convergence of Stochastic Gradient Descent for Nonlinear Ill-Posed Problems. CoRR Bangti Jin, Zehui Zhou, Jun Zou
2019	J	`jnl`	Regularized Linear Inversion with Randomized Singular Value Decomposition. CoRR Kazufumi Ito, Bangti Jin
2019	J	`jnl`	Subdiffusion with a time-dependent coefficient: Analysis and numerical solution. Math. Comput. Bangti Jin, Buyang Li, Zhi Zhou
2019	J	`jnl`	Wasserstein Gradient Flow Formulation of the Time-Fractional Fokker-Planck Equation. CoRR Manh Hong Duong, Bangti Jin
2018	J	`jnl`	Discrete maximal regularity of time-stepping schemes for fractional evolution equations. Numerische Mathematik Bangti Jin, Buyang Li, Zhi Zhou
2018	J	`jnl`	Numerical Analysis of Nonlinear Subdiffusion Equations. SIAM J. Numer. Anal. Bangti Jin, Buyang Li, Zhi Zhou
2018	J	`jnl`	Space-Time Petrov-Galerkin FEM for Fractional Diffusion Problems. Comput. Methods Appl. Math. Beiping Duan, Bangti Jin, Raytcho D. Lazarov, Joseph E. Pasciak, Zhi Zhou
2017	J	`jnl`	Correction of High-Order BDF Convolution Quadrature for Fractional Evolution Equations. SIAM J. Sci. Comput. Bangti Jin, Buyang Li, Zhi Zhou
2017	J	`jnl`	Group Sparse Recovery via the ℓ IEEE Trans. Signal Process. Yuling Jiao, Bangti Jin, Xiliang Lu
2017	J	`jnl`	Iterative Soft/Hard Thresholding With Homotopy Continuation for Sparse Recovery. IEEE Signal Process. Lett. Yuling Jiao, Bangti Jin, Xiliang Lu
2017	J	`jnl`	On nonnegativity preservation in finite element methods for subdiffusion equations. Math. Comput. Bangti Jin, Raytcho D. Lazarov, Vidar Thomée, Zhi Zhou
2017	J	`jnl`	Preface: Numerical Analysis of Fractional Differential Equations. Comput. Methods Appl. Math. Bangti Jin, Raytcho D. Lazarov, Petr N. Vabishchevich
2016	J	`jnl`	A Petrov-Galerkin Finite Element Method for Fractional Convection-Diffusion Equations. SIAM J. Numer. Anal. Bangti Jin, Raytcho D. Lazarov, Zhi Zhou
2016	J	`jnl`	A simple finite element method for boundary value problems with a Riemann-Liouville derivative. J. Comput. Appl. Math. Bangti Jin, Raytcho D. Lazarov, Xiliang Lu, Zhi Zhou
2016	J	`jnl`	Group Sparse Recovery via the ℓ CoRR Yuling Jiao, Bangti Jin, Xiliang Lu
2016	J	`jnl`	The Linearized Inverse Problem in Multifrequency Electrical Impedance Tomography. SIAM J. Imaging Sci. Giovanni S. Alberti, Habib Ammari, Bangti Jin, Jin Keun Seo, Wenlong Zhang
2016	J	`jnl`	Two Fully Discrete Schemes for Fractional Diffusion and Diffusion-Wave Equations with Nonsmooth Data. SIAM J. Sci. Comput. Bangti Jin, Raytcho D. Lazarov, Zhi Zhou
2015	J	`jnl`	A variational Bayesian approach for inverse problems with skew-t error distributions. J. Comput. Phys. Nilabja Guha, Xiaoqing Wu, Yalchin Efendiev, Bangti Jin, Bani K. Mallick
2015	J	`jnl`	An analysis of the Rayleigh-Stokes problem for a generalized second-grade fluid. Numerische Mathematik Emilia G. Bazhlekova, Bangti Jin, Raytcho D. Lazarov, Zhi Zhou
2015	J	`jnl`	Numerical identification of a sparse Robin coefficient. Adv. Comput. Math. Zhiyuan Sun, Yuling Jiao, Bangti Jin, Xiliang Lu
2015	J	`jnl`	On the sectorial property of the Caputo derivative operator. Appl. Math. Lett. Kazufumi Ito, Bangti Jin, Tomoya Takeuchi
2015	J	`jnl`	The Galerkin finite element method for a multi-term time-fractional diffusion equation. J. Comput. Phys. Bangti Jin, Raytcho D. Lazarov, Yikan Liu, Zhi Zhou
2015	J	`jnl`	Variational formulation of problems involving fractional order differential operators. Math. Comput. Bangti Jin, Raytcho D. Lazarov, Joseph E. Pasciak, William Rundell
2014	J	`jnl`	A Primal Dual Active Set with Continuation Algorithm for the \ell^0-Regularized Optimization Problem. CoRR Yuling Jiao, Bangti Jin, Xiliang Lu
2014	J	`jnl`	Error Analysis of a Finite Element Method for the Space-Fractional Parabolic Equation. SIAM J. Numer. Anal. Bangti Jin, Raytcho D. Lazarov, Joseph E. Pasciak, Zhi Zhou
2014	J	`jnl`	Expectation propagation for nonlinear inverse problems - with an application to electrical impedance tomography. J. Comput. Phys. Matthias Gehre, Bangti Jin
2013	J	`jnl`	A two-stage method for inverse medium scattering. J. Comput. Phys. Kazufumi Ito, Bangti Jin, Jun Zou
2013	J	`jnl`	Error Estimates for a Semidiscrete Finite Element Method for Fractional Order Parabolic Equations. SIAM J. Numer. Anal. Bangti Jin, Raytcho D. Lazarov, Zhi Zhou
2013	J	`jnl`	Gradient-based estimation of Manning's friction coefficient from noisy data. J. Comput. Appl. Math. Victor M. Calo, Nathan O. Collier, Matthias Gehre, Bangti Jin, Hany Radwan, Mauricio Santillana
2012	J	`jnl`	A Semismooth Newton Method for Nonlinear Parameter Identification Problems with Impulsive Noise. SIAM J. Imaging Sci. Christian Clason, Bangti Jin
2012	J	`jnl`	A variational Bayesian method to inverse problems with impulsive noise. J. Comput. Phys. Bangti Jin
2012	J	`jnl`	An inverse Sturm-Liouville problem with a fractional derivative. J. Comput. Phys. Bangti Jin, William Rundell
2012	—	`conf`	Galerkin FEM for Fractional Order Parabolic Equations with Initial Data in H - s , 0 ≤ s ≤ 1. NAA Bangti Jin, Raytcho D. Lazarov, Joseph E. Pasciak, Zhi Zhou
2012	J	`jnl`	Numerical identification of a Robin coefficient in parabolic problems. Math. Comput. Bangti Jin, Xiliang Lu
2012	J	`jnl`	Sparsity reconstruction in electrical impedance tomography: An experimental evaluation. J. Comput. Appl. Math. Matthias Gehre, Tobias Kluth, Antti Lipponen, Bangti Jin, Aku Seppänen, Jari P. Kaipio, Peter Maass
2011	J	`jnl`	A Regularization Parameter for Nonsmooth Tikhonov Regularization. SIAM J. Sci. Comput. Kazufumi Ito, Bangti Jin, Tomoya Takeuchi
2011	J	`jnl`	Multi-Parameter Tikhonov Regularization CoRR Kazufumi Ito, Bangti Jin, Tomoya Takeuchi
2010	J	`jnl`	A Duality-Based Splitting Method for l SIAM J. Sci. Comput. Christian Clason, Bangti Jin, Karl Kunisch
2010	J	`jnl`	A Semismooth Newton Method for L SIAM J. Imaging Sci. Christian Clason, Bangti Jin, Karl Kunisch
2010	J	`jnl`	Heuristic Parameter-Choice Rules for Convex Variational Regularization Based on Error Estimates. SIAM J. Numer. Anal. Bangti Jin, Dirk A. Lorenz
2010	J	`jnl`	Hierarchical Bayesian inference for Ill-posed problems via variational method. J. Comput. Phys. Bangti Jin, Jun Zou
2009	J	`jnl`	Numerical Estimation of Piecewise Constant Robin Coefficient. SIAM J. Control. Optim. Bangti Jin, Jun Zou
2008	J	`jnl`	Inversion of Robin coefficient by a spectral stochastic finite element approach. J. Comput. Phys. Bangti Jin, Jun Zou
2006	J	`jnl`	Boundary knot method based on geodesic distance for anisotropic problems. J. Comput. Phys. Bangti Jin, Wen Chen