Improvement of accuracy in deformable registration in radiation therapy. - Xiaojing Ye; Yunmei Chen (ICIP, 2008)

MR Image Reconstruction via Sparse Representation: Modeling and Algorithm. - Xiaojing Ye; Yunmei Chen; Feng Huang 001 (IPCV, 2009)

A New Algorithm for Inverse Consistent Image Registration. - Xiaojing Ye; Yunmei Chen (ISVC (1), 2009)

Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis. - Meizhu Liu; Le Lu 001; Xiaojing Ye; Shipeng Yu; Heng Huang (CIKM, 2011)

Find the intrinsic space for multiclass classification. - Meizhu Liu; Kefei Liu 001; Xiaojing Ye (ISABEL, 2011)

Efficient minimization for dictionary based sparse representation and signal recovery. - Xiaojing Ye; Kefei Liu 001; Meizhu Liu (ISABEL, 2011)

Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries. - Meizhu Liu; Le Lu 001; Xiaojing Ye; Shipeng Yu; Marcos Salganicoff (MICCAI (3), 2011)

Computational Acceleration for MR Image Reconstruction in Partially Parallel Imaging. - Xiaojing Ye; Yunmei Chen; Feng Huang 001 (IEEE Trans. Medical Imaging, 2011)

Fast MR Image Reconstruction for Partially Parallel Imaging With Arbitrary k -Space Trajectories. - Xiaojing Ye; Yunmei Chen; Wei Lin; Feng Huang 001 (IEEE Trans. Medical Imaging, 2011)

Partially parallel MR image reconstruction using sensitivity encoding. - Maryam Yashtini; William W. Hager; Yunmei Chen; Xiaojing Ye (ICIP, 2012)

A variational multiphase model for simultaneous MR image segmentation and bias correction. - Haili Zhang; Yunmei Chen; Xiaojing Ye (ICIP, 2012)

Jensen divergence based SPD matrix means and applications. - Frank Nielsen; Meizhu Liu; Xiaojing Ye; Baba C. Vemuri (ICPR, 2012)

Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging. - Yunmei Chen; William W. Hager; Feng Huang 001; Dzung T. Phan; Xiaojing Ye; Wotao Yin (SIAM J. Imaging Sci., 2012)

An enhanced approach for simultaneous image reconstruction and sensitivity map estimation in partially parallel imaging. - Meng Liu; Yunmei Chen; Yuyuan Ouyang; Xiaojing Ye; Feng Huang 001 (ICIP, 2013)

Bregman operator splitting with variable stepsize for total variation image reconstruction. - Yunmei Chen; William W. Hager; Maryam Yashtini; Xiaojing Ye; Hongchao Zhang (Comput. Optim. Appl., 2013)

An Efficient Algorithm for Multiphase Image Segmentation With Intensity Bias Correction. - Haili Zhang; Xiaojing Ye; Yunmei Chen (IEEE Trans. Image Process., 2013)

Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis. - Meizhu Liu; Le Lu 001; Xiaojing Ye; Shipeng Yu (CoRR, 2014)

Fast decentralized gradient descent method and applications to in-situ seismic tomography. - Liang Zhao 024; Wen-Zhan Song 001; Xiaojing Ye (IEEE BigData, 2015)

Potential induced random teleportation on finite graphs. - Shui-Nee Chow; Xiaojing Ye; Haomin Zhou 001 (Comput. Optim. Appl., 2015)

Consensus optimization with delayed and stochastic gradients on decentralized networks. - Benjamin Sirb; Xiaojing Ye (IEEE BigData, 2016)

Multistage Campaigning in Social Networks. - Mehrdad Farajtabar; Xiaojing Ye; Sahar Harati; Le Song; Hongyuan Zha (NIPS, 2016)

Linking Micro Event History to Macro Prediction in Point Process Models. - Yichen Wang 001; Xiaojing Ye; Haomin Zhou 001; Hongyuan Zha; Le Song (AISTATS, 2017)

Fake News Mitigation via Point Process Based Intervention. - Mehrdad Farajtabar; Jiachen Yang; Xiaojing Ye; Huan Xu; Rakshit Trivedi; Elias B. Khalil; Shuang Li 002; Le Song; Hongyuan Zha (ICML, 2017)

Predicting User Activity Level In Point Processes With Mass Transport Equation. - Yichen Wang 001; Xiaojing Ye; Hongyuan Zha; Le Song (NIPS, 2017)

Wasserstein Learning of Deep Generative Point Process Models. - Shuai Xiao 002; Mehrdad Farajtabar; Xiaojing Ye; Junchi Yan; Xiaokang Yang 001; Le Song; Hongyuan Zha (NIPS, 2017)

Wasserstein Learning of Deep Generative Point Process Models. - Shuai Xiao 002; Mehrdad Farajtabar; Xiaojing Ye; Junchi Yan; Le Song; Hongyuan Zha (CoRR, 2017)

Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations. - Jiachen Yang; Xiaojing Ye; Rakshit Trivedi; Huan Xu; Hongyuan Zha (CoRR, 2017)

Learning Deep Mean Field Games for Modeling Large Population Behavior. - Jiachen Yang; Xiaojing Ye; Rakshit Trivedi; Huan Xu; Hongyuan Zha (ICLR, 2018)

Learning to Recommend via Inverse Optimal Matching. - Ruilin Li; Xiaojing Ye; Haomin Zhou 001; Hongyuan Zha (CoRR, 2018)

Influence prediction for continuous-time information propagation on networks. - Shui-Nee Chow; Xiaojing Ye; Hongyuan Zha; Haomin Zhou 001 (Networks Heterog. Media, 2018)

Asynchronous broadcast-based decentralized learning in sensor networks. - Liang Zhao 024; Wen-Zhan Song 001; Xiaojing Ye; Yujie Gu 001 (Int. J. Parallel Emergent Distributed Syst., 2018)

Decentralized Consensus Algorithm with Delayed and Stochastic Gradients. - Benjamin Sirb; Xiaojing Ye (SIAM J. Optim., 2018)

Learning to Match via Inverse Optimal Transport. - Ruilin Li; Xiaojing Ye; Haomin Zhou 001; Hongyuan Zha (J. Mach. Learn. Res., 2019)

A Two-Stage Algorithm for Joint Multimodal Image Reconstruction. - Yunmei Chen; Bin Li 024; Xiaojing Ye (SIAM J. Imaging Sci., 2019)

Deep Parallel MRI Reconstruction Network Without Coil Sensitivities. - Wanyu Bian; Yunmei Chen; Xiaojing Ye (MLMIR@MICCAI, 2020)

Network Diffusions via Neural Mean-Field Dynamics. - Shushan He; Hongyuan Zha; Xiaojing Ye (NeurIPS, 2020)

Acceleration techniques for level bundle methods in weakly smooth convex constrained optimization. - Yunmei Chen; Xiaojing Ye; Wei Zhang 216 (Comput. Optim. Appl., 2020)

Learning Cost Functions for Optimal Transport. - Haodong Sun; Haomin Zhou 001; Hongyuan Zha; Xiaojing Ye (CoRR, 2020)

Numerical Solution of Inverse Problems by Weak Adversarial Networks. - Gang Bao 001; Xiaojing Ye; Yaohua Zang; Haomin Zhou 001 (CoRR, 2020)

A Novel Learnable Gradient Descent Type Algorithm for Non-convex Non-smooth Inverse Problems. - Qingchao Zhang; Xiaojing Ye; Hongcheng Liu; Yunmei Chen (CoRR, 2020)

Weak adversarial networks for high-dimensional partial differential equations. - Yaohua Zang; Gang Bao 001; Xiaojing Ye; Haomin Zhou 001 (J. Comput. Phys., 2020)

A Hypergradient Approach to Robust Regression without Correspondence. - Yujia Xie; Yixiu Mao; Simiao Zuo; Hongteng Xu; Xiaojing Ye; Tuo Zhao; Hongyuan Zha (ICLR, 2021)

Influence Estimation and Maximization via Neural Mean-Field Dynamics. - Shushan He; Hongyuan Zha; Xiaojing Ye (CoRR, 2021)

An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities. - Wanyu Bian; Yunmei Chen; Xiaojing Ye (CoRR, 2021)

An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset. - Wanyu Bian; Yunmei Chen; Xiaojing Ye; Qingchao Zhang (J. Imaging, 2021)

Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction. - Yunmei Chen; Hongcheng Liu; Xiaojing Ye; Qingchao Zhang (SIAM J. Imaging Sci., 2021)

Lyapunov-Net: A Deep Neural Network Architecture for Lyapunov Function Approximation. - Nathan Gaby; Fumin Zhang 001; Xiaojing Ye (CDC, 2022)

A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis. - Wanyu Bian; Qingchao Zhang; Xiaojing Ye; Yunmei Chen (MICCAI (6), 2022)

Extra Proximal-Gradient Network with Learned Regularization for Image Compressive Sensing Reconstruction. - Qingchao Zhang; Xiaojing Ye; Yunmei Chen (J. Imaging, 2022)

High-Dimensional Optimal Density Control with Wasserstein Metric Matching. - Shaojun Ma; Mengxue Hou; Xiaojing Ye; Haomin Zhou 001 (CDC, 2023)

Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction. - Chi Ding; Qingchao Zhang; Ge Wang 001; Xiaojing Ye; Yunmei Chen (MICCAI (10), 2023)

Low-rank matrix recovery with unknown correspondence. - Zhiwei Tang; Tsung-Hui Chang; Xiaojing Ye; Hongyuan Zha (UAI, 2023)

Approximating High-Dimensional Minimal Surfaces with Physics-Informed Neural Networks. - Steven Zhou; Xiaojing Ye (CoRR, 2023)

Neural Control of Parametric Solutions for High-Dimensional Evolution PDEs. - Nathan Gaby; Xiaojing Ye; Haomin Zhou 001 (SIAM J. Sci. Comput., 2024)

An End-to-End Mutually Exclusive Autoencoder Method for Analog Circuit Fault Diagnosis. - Yuling Shang; Songyi Wei; Chunquan Li 004; Xiaojing Ye; Lizhen Zeng; Wei Hu; Xiang He; Jinzhuo Zhou (J. Electron. Test., 2024)

Infrared Image Super-Resolution Network Utilizing the Enhanced Transformer and U-Net. - Feng Huang 007; Yunxiang Li; Xiaojing Ye; Jing Wu 023 (Sensors, 2024)

Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction. - Qingchao Zhang; Mehrdad Alvandipour; Wenjun Xia; Yi Zhang 018; Xiaojing Ye; Yunmei Chen (J. Sci. Comput., 2024)

Approximation of solution operators for high-dimensional PDEs. - Nathan Gaby; Xiaojing Ye (J. Comput. Phys., 2025)

Parameterized Wasserstein gradient flow. - Yijie Jin; Shu Liu; Hao Wu; Xiaojing Ye; Haomin Zhou 001 (J. Comput. Phys., 2025)

Parameterized Wasserstein Hamiltonian Flow. - Hao Wu; Shu Liu; Xiaojing Ye; Haomin Zhou 001 (SIAM J. Numer. Anal., 2025)

A parameterized Wasserstein Hamiltonian flow approach for solving the Schrödinger equation. - Hao Wu; Shu Liu; Xiaojing Ye; Haomin Zhou 001 (CoRR, 2025)

Hamiltonian Theory and Computation of Optimal Probability Density Control in High Dimensions. - Nathan Gaby; Xiaojing Ye (CoRR, 2025)

LAMA-Net: A Convergent Network Architecture for Dual-Domain Reconstruction. - Chi Ding; Qingchao Zhang; Ge Wang 001; Xiaojing Ye; Yunmei Chen (J. Math. Imaging Vis., 2025)