Xiaojing Ye

According to our database, Xiaojing Ye authored at least 61 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction.

Qingchao Zhang, Mehrdad Alvandipour, Wenjun Xia, Yi Zhang, Xiaojing Ye, Yunmei Chen

J. Sci. Comput., October, 2024

Infrared Image Super-Resolution Network Utilizing the Enhanced Transformer and U-Net.

Feng Huang, Yunxiang Li, Xiaojing Ye, Jing Wu

Sensors, July, 2024

An End-to-End Mutually Exclusive Autoencoder Method for Analog Circuit Fault Diagnosis.

Yuling Shang, Songyi Wei, Chunquan Li, Xiaojing Ye, Lizhen Zeng, Wei Hu, Xiang He, Jinzhuo Zhou

J. Electron. Test., February, 2024

Neural Control of Parametric Solutions for High-Dimensional Evolution PDEs.

Nathan Gaby, Xiaojing Ye, Haomin Zhou

SIAM J. Sci. Comput., 2024

LAMA: Stable Dual-Domain Deep Reconstruction For Sparse-View CT.

Chi Ding, Qingchao Zhang, Ge Wang, Xiaojing Ye, Yunmei Chen

CoRR, 2024

Parameterized Wasserstein Gradient Flow.

Yijie Jin, Shu Liu, Hao Wu, Xiaojing Ye, Haomin Zhou

CoRR, 2024

Approximation of Solution Operators for High-dimensional PDEs.

Nathan Gaby, Xiaojing Ye

CoRR, 2024

2023

Approximating High-Dimensional Minimal Surfaces with Physics-Informed Neural Networks.

Steven Zhou, Xiaojing Ye

CoRR, 2023

Parameterized Wasserstein Hamiltonian Flow.

Hao Wu, Shu Liu, Xiaojing Ye, Haomin Zhou

CoRR, 2023

Low-rank matrix recovery with unknown correspondence.

Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction.

Chi Ding, Qingchao Zhang, Ge Wang, Xiaojing Ye, Yunmei Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

High-Dimensional Optimal Density Control with Wasserstein Metric Matching.

Shaojun Ma, Mengxue Hou, Xiaojing Ye, Haomin Zhou

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Extra Proximal-Gradient Network with Learned Regularization for Image Compressive Sensing Reconstruction.

Qingchao Zhang, Xiaojing Ye, Yunmei Chen

J. Imaging, 2022

A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis.

Wanyu Bian, Qingchao Zhang, Xiaojing Ye, Yunmei Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Lyapunov-Net: A Deep Neural Network Architecture for Lyapunov Function Approximation.

Nathan Gaby, Fumin Zhang, Xiaojing Ye

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction.

Yunmei Chen, Hongcheng Liu, Xiaojing Ye, Qingchao Zhang

SIAM J. Imaging Sci., 2021

An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset.

Wanyu Bian, Yunmei Chen, Xiaojing Ye, Qingchao Zhang

J. Imaging, 2021

An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities.

Wanyu Bian, Yunmei Chen, Xiaojing Ye

CoRR, 2021

Influence Estimation and Maximization via Neural Mean-Field Dynamics.

Shushan He, Hongyuan Zha, Xiaojing Ye

CoRR, 2021

A Hypergradient Approach to Robust Regression without Correspondence.

Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Weak adversarial networks for high-dimensional partial differential equations.

Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou

J. Comput. Phys., 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

Numerical Solution of Inverse Problems by Weak Adversarial Networks.

Gang Bao, Xiaojing Ye, Yaohua Zang, Haomin Zhou

CoRR, 2020

Learning Cost Functions for Optimal Transport.

Haodong Sun, Haomin Zhou, Hongyuan Zha, Xiaojing Ye

CoRR, 2020

Acceleration techniques for level bundle methods in weakly smooth convex constrained optimization.

Yunmei Chen, Xiaojing Ye, Wei Zhang

Comput. Optim. Appl., 2020

Network Diffusions via Neural Mean-Field Dynamics.

Shushan He, Hongyuan Zha, Xiaojing Ye

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Parallel MRI Reconstruction Network Without Coil Sensitivities.

Wanyu Bian, Yunmei Chen, Xiaojing Ye

Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

2019

A Two-Stage Algorithm for Joint Multimodal Image Reconstruction.

Yunmei Chen, Bin Li, Xiaojing Ye

SIAM J. Imaging Sci., 2019

Learning to Match via Inverse Optimal Transport.

Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha

J. Mach. Learn. Res., 2019

2018

Decentralized Consensus Algorithm with Delayed and Stochastic Gradients.

Benjamin Sirb, Xiaojing Ye

SIAM J. Optim., 2018

Asynchronous broadcast-based decentralized learning in sensor networks.

Liang Zhao, Wen-Zhan Song, Xiaojing Ye, Yujie Gu

Int. J. Parallel Emergent Distributed Syst., 2018

Influence prediction for continuous-time information propagation on networks.

Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou

Networks Heterog. Media, 2018

Learning to Recommend via Inverse Optimal Matching.

Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha

CoRR, 2018

Learning Deep Mean Field Games for Modeling Large Population Behavior.

Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha

Proceedings of the 6th International Conference on Learning Representations, 2018

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

Wasserstein Learning of Deep Generative Point Process Models.

Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha

CoRR, 2017

Wasserstein Learning of Deep Generative Point Process Models.

Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Xiaokang Yang, Le Song, Hongyuan Zha

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Predicting User Activity Level In Point Processes With Mass Transport Equation.

Yichen Wang, Xiaojing Ye, Hongyuan Zha, Le Song

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Fake News Mitigation via Point Process Based Intervention.

Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha

Proceedings of the 34th International Conference on Machine Learning, 2017

Linking Micro Event History to Macro Prediction in Point Process Models.

Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Multistage Campaigning in Social Networks.

Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Consensus optimization with delayed and stochastic gradients on decentralized networks.

Benjamin Sirb, Xiaojing Ye

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Potential induced random teleportation on finite graphs.

Shui-Nee Chow, Xiaojing Ye, Haomin Zhou

Comput. Optim. Appl., 2015

Fast decentralized gradient descent method and applications to in-situ seismic tomography.

Liang Zhao, Wen-Zhan Song, Xiaojing Ye

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis.

Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu

CoRR, 2014

2013

An Efficient Algorithm for Multiphase Image Segmentation With Intensity Bias Correction.

Haili Zhang, Xiaojing Ye, Yunmei Chen

IEEE Trans. Image Process., 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 enhanced approach for simultaneous image reconstruction and sensitivity map estimation in partially parallel imaging.

Meng Liu, Yunmei Chen, Yuyuan Ouyang, Xiaojing Ye, Feng Huang

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging.

Yunmei Chen, William W. Hager, Feng Huang, Dzung T. Phan, Xiaojing Ye, Wotao Yin

SIAM J. Imaging Sci., 2012

Jensen divergence based SPD matrix means and applications.

Frank Nielsen, Meizhu Liu, Xiaojing Ye, Baba C. Vemuri

Proceedings of the 21st International Conference on Pattern Recognition, 2012

A variational multiphase model for simultaneous MR image segmentation and bias correction.

Haili Zhang, Yunmei Chen, Xiaojing Ye

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Partially parallel MR image reconstruction using sensitivity encoding.

Maryam Yashtini, William W. Hager, Yunmei Chen, Xiaojing Ye

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

Fast MR Image Reconstruction for Partially Parallel Imaging With Arbitrary k -Space Trajectories.

Xiaojing Ye, Yunmei Chen, Wei Lin, Feng Huang

IEEE Trans. Medical Imaging, 2011

Computational Acceleration for MR Image Reconstruction in Partially Parallel Imaging.

Xiaojing Ye, Yunmei Chen, Feng Huang

IEEE Trans. Medical Imaging, 2011

Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries.

Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Marcos Salganicoff

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Efficient minimization for dictionary based sparse representation and signal recovery.

Xiaojing Ye, Kefei Liu, Meizhu Liu

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

Find the intrinsic space for multiclass classification.

Meizhu Liu, Kefei Liu, Xiaojing Ye

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis.

Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Heng Huang

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2009

A New Algorithm for Inverse Consistent Image Registration.

Xiaojing Ye, Yunmei Chen

Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

MR Image Reconstruction via Sparse Representation: Modeling and Algorithm.

Xiaojing Ye, Yunmei Chen, Feng Huang

Proceedings of the 2009 International Conference on Image Processing, 2009

2008

Improvement of accuracy in deformable registration in radiation therapy.

Xiaojing Ye, Yunmei Chen

Proceedings of the International Conference on Image Processing, 2008