Xiaojing Ye

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 54

Top Topics

Image Reconstruction

Inverse Problems

Top Venues

SIAM J. Imaging Sci.

Publications

Yijie Jin, Shu Liu, Hao Wu, Xiaojing Ye, Haomin Zhou
Parameterized Wasserstein Gradient Flow. CoRR (2024)
Feng Huang, Yunxiang Li, Xiaojing Ye, Jing Wu
Infrared Image Super-Resolution Network Utilizing the Enhanced Transformer and U-Net. Sensors 24 (14) (2024)
Yuling Shang, Songyi Wei, Chunquan Li, Xiaojing Ye, Lizhen Zeng, Wei Hu, Xiang He, Jinzhuo Zhou
An End-to-End Mutually Exclusive Autoencoder Method for Analog Circuit Fault Diagnosis. J. Electron. Test. 40 (1) (2024)
Nathan Gaby, Xiaojing Ye, Haomin Zhou
Neural Control of Parametric Solutions for High-Dimensional Evolution PDEs. SIAM J. Sci. Comput. 46 (2) (2024)
Nathan Gaby, Xiaojing Ye
Approximation of Solution Operators for High-dimensional PDEs. CoRR (2024)
Chi Ding, Qingchao Zhang, Ge Wang, Xiaojing Ye, Yunmei Chen
Learned Alternating Minimization Algorithm for Dual-domain Sparse-View CT Reconstruction. CoRR (2023)
Nathan Gaby, Xiaojing Ye, Haomin Zhou
Neural Control of Parametric Solutions for High-dimensional Evolution PDEs. CoRR (2023)
Shaojun Ma, Mengxue Hou, Xiaojing Ye, Haomin Zhou
High-Dimensional Optimal Density Control with Wasserstein Metric Matching. CDC (2023)
Hao Wu, Shu Liu, Xiaojing Ye, Haomin Zhou
Parameterized Wasserstein Hamiltonian Flow. CoRR (2023)
Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha
Low-rank matrix recovery with unknown correspondence. UAI (2023)
Steven Zhou, Xiaojing Ye
Approximating High-Dimensional Minimal Surfaces with Physics-Informed Neural Networks. CoRR (2023)
Chi Ding, Qingchao Zhang, Ge Wang, Xiaojing Ye, Yunmei Chen
Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction. MICCAI (10) (2023)
Qingchao Zhang, Xiaojing Ye, Yunmei Chen
Extra Proximal-Gradient Network with Learned Regularization for Image Compressive Sensing Reconstruction. J. Imaging 8 (7) (2022)
Wanyu Bian, Qingchao Zhang, Xiaojing Ye, Yunmei Chen
A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis. MICCAI (6) (2022)
Wanyu Bian, Qingchao Zhang, Xiaojing Ye, Yunmei Chen
A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis. CoRR (2022)
Nathan Gaby, Fumin Zhang, Xiaojing Ye
Lyapunov-Net: A Deep Neural Network Architecture for Lyapunov Function Approximation. CDC (2022)
Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha
A Hypergradient Approach to Robust Regression without Correspondence. ICLR (2021)
Wanyu Bian, Yunmei Chen, Xiaojing Ye
An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities. CoRR (2021)
Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha
Low-rank Matrix Recovery With Unknown Correspondence. CoRR (2021)
Wanyu Bian, Yunmei Chen, Xiaojing Ye, Qingchao Zhang
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset. CoRR (2021)
Shushan He, Hongyuan Zha, Xiaojing Ye
Influence Estimation and Maximization via Neural Mean-Field Dynamics. CoRR (2021)
Yunmei Chen, Hongcheng Liu, Xiaojing Ye, Qingchao Zhang
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction. SIAM J. Imaging Sci. 14 (4) (2021)
Nathan Gaby, Fumin Zhang, Xiaojing Ye
Lyapunov-Net: A Deep Neural Network Architecture for Lyapunov Function Approximation. CoRR (2021)
Qingchao Zhang, Mehrdad Alvandipour, Wenjun Xia, Yi Zhang, Xiaojing Ye, Yunmei Chen
Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction. CoRR (2021)
Wanyu Bian, Yunmei Chen, Xiaojing Ye, Qingchao Zhang
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset. J. Imaging 7 (11) (2021)
Shushan He, Hongyuan Zha, Xiaojing Ye
Network Diffusions via Neural Mean-Field Dynamics. CoRR (2020)
Yunmei Chen, Xiaojing Ye, Wei Zhang
Acceleration techniques for level bundle methods in weakly smooth convex constrained optimization. Comput. Optim. Appl. 77 (2) (2020)
Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou
Weak adversarial networks for high-dimensional partial differential equations. J. Comput. Phys. 411 (2020)
Yunmei Chen, Hongcheng Liu, Xiaojing Ye, Qingchao Zhang
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction. CoRR (2020)
Gang Bao, Xiaojing Ye, Yaohua Zang, Haomin Zhou
Numerical Solution of Inverse Problems by Weak Adversarial Networks. CoRR (2020)
Haodong Sun, Haomin Zhou, Hongyuan Zha, Xiaojing Ye
Learning Cost Functions for Optimal Transport. CoRR (2020)
Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha
A Hypergradient Approach to Robust Regression without Correspondence. CoRR (2020)
Wanyu Bian, Yunmei Chen, Xiaojing Ye
Deep Parallel MRI Reconstruction Network Without Coil Sensitivities. CoRR (2020)
Shushan He, Hongyuan Zha, Xiaojing Ye
Network Diffusions via Neural Mean-Field Dynamics. NeurIPS (2020)
Wanyu Bian, Yunmei Chen, Xiaojing Ye
Deep Parallel MRI Reconstruction Network Without Coil Sensitivities. MLMIR@MICCAI (2020)
Qingchao Zhang, Xiaojing Ye, Hongcheng Liu, Yunmei Chen
A Novel Learnable Gradient Descent Type Algorithm for Non-convex Non-smooth Inverse Problems. CoRR (2020)
Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha
Learning to Match via Inverse Optimal Transport. J. Mach. Learn. Res. 20 (2019)
Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou
Weak Adversarial Networks for High-dimensional Partial Differential Equations. CoRR (2019)
Yunmei Chen, Bin Li, Xiaojing Ye
A Two-Stage Algorithm for Joint Multimodal Image Reconstruction. SIAM J. Imaging Sci. 12 (3) (2019)
Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha
Learning to Recommend via Inverse Optimal Matching. CoRR (2018)
Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha
Learning Deep Mean Field Games for Modeling Large Population Behavior. ICLR (2018)
Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou
Influence prediction for continuous-time information propagation on networks. Networks Heterog. Media 13 (4) (2018)
Liang Zhao, Wen-Zhan Song, Xiaojing Ye, Yujie Gu
Asynchronous broadcast-based decentralized learning in sensor networks. Int. J. Parallel Emergent Distributed Syst. 33 (6) (2018)
Benjamin Sirb, Xiaojing Ye
Decentralized Consensus Algorithm with Delayed and Stochastic Gradients. SIAM J. Optim. 28 (2) (2018)
Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha
Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations. CoRR (2017)
Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha
Wasserstein Learning of Deep Generative Point Process Models. CoRR (2017)
Yichen Wang, Xiaojing Ye, Hongyuan Zha, Le Song
Predicting User Activity Level In Point Processes With Mass Transport Equation. NIPS (2017)
Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Xiaokang Yang, Le Song, Hongyuan Zha
Wasserstein Learning of Deep Generative Point Process Models. NIPS (2017)
Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song
Linking Micro Event History to Macro Prediction in Point Process Models. AISTATS (2017)
Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha
Fake News Mitigation via Point Process Based Intervention. ICML (2017)
Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias Boutros Khalil, Shuang Li, Le Song, Hongyuan Zha
Fake News Mitigation via Point Process Based Intervention. CoRR (2017)
Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha
Multistage Campaigning in Social Networks. NIPS (2016)
Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha
Multistage Campaigning in Social Networks. CoRR (2016)
Benjamin Sirb, Xiaojing Ye
Consensus optimization with delayed and stochastic gradients on decentralized networks. IEEE BigData (2016)
Liang Zhao, Wen-Zhan Song, Xiaojing Ye
Fast decentralized gradient descent method and applications to in-situ seismic tomography. IEEE BigData (2015)
Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou
Influence Prediction for Continuous-Time Information Propagation on Networks. CoRR (2015)
Shui-Nee Chow, Xiaojing Ye, Haomin Zhou
Potential induced random teleportation on finite graphs. Comput. Optim. Appl. 61 (3) (2015)
Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis. CoRR (2014)
Yunmei Chen, William W. Hager, Maryam Yashtini, Xiaojing Ye, Hongchao Zhang
Bregman operator splitting with variable stepsize for total variation image reconstruction. Comput. Optim. Appl. 54 (2) (2013)
Meng Liu, Yunmei Chen, Yuyuan Ouyang, Xiaojing Ye, Feng Huang
An enhanced approach for simultaneous image reconstruction and sensitivity map estimation in partially parallel imaging. ICIP (2013)
Haili Zhang, Xiaojing Ye, Yunmei Chen
An Efficient Algorithm for Multiphase Image Segmentation With Intensity Bias Correction. IEEE Trans. Image Process. 22 (10) (2013)
Haili Zhang, Yunmei Chen, Xiaojing Ye
A variational multiphase model for simultaneous MR image segmentation and bias correction. ICIP (2012)
Yunmei Chen, William W. Hager, Feng Huang, Dzung T. Phan, Xiaojing Ye, Wotao Yin
Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging. SIAM J. Imaging Sci. 5 (1) (2012)
Maryam Yashtini, William W. Hager, Yunmei Chen, Xiaojing Ye
Partially parallel MR image reconstruction using sensitivity encoding. ICIP (2012)
Frank Nielsen, Meizhu Liu, Xiaojing Ye, Baba C. Vemuri
Jensen divergence based SPD matrix means and applications. ICPR (2012)
Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Marcos Salganicoff
Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries. MICCAI (3) (2011)
Xiaojing Ye, Kefei Liu, Meizhu Liu
Efficient minimization for dictionary based sparse representation and signal recovery. ISABEL (2011)
Xiaojing Ye, Yunmei Chen, Wei Lin, Feng Huang
Fast MR Image Reconstruction for Partially Parallel Imaging With Arbitrary k -Space Trajectories. IEEE Trans. Medical Imaging 30 (3) (2011)
Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Heng Huang
Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis. CIKM (2011)
Xiaojing Ye, Yunmei Chen, Feng Huang
Computational Acceleration for MR Image Reconstruction in Partially Parallel Imaging. IEEE Trans. Medical Imaging 30 (5) (2011)
Meizhu Liu, Kefei Liu, Xiaojing Ye
Find the intrinsic space for multiclass classification. ISABEL (2011)
Xiaojing Ye, Yunmei Chen, Feng Huang
MR Image Reconstruction via Sparse Representation: Modeling and Algorithm. IPCV (2009)
Xiaojing Ye, Yunmei Chen
A New Algorithm for Inverse Consistent Image Registration. ISVC (1) (2009)
Xiaojing Ye, Yunmei Chen
Improvement of accuracy in deformable registration in radiation therapy. ICIP (2008)