Xiaojing Ye

According to our database1, Xiaojing Ye authored at least 44 papers between 2008 and 2021.

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Bibliography

2021
Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction.
CoRR, 2021

2020
Weak adversarial networks for high-dimensional partial differential equations.
J. Comput. Phys., 2020

A Hypergradient Approach to Robust Regression without Correspondence.
CoRR, 2020

Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction.
CoRR, 2020

A Novel Learnable Gradient Descent Type Algorithm for Non-convex Non-smooth Inverse Problems.
CoRR, 2020

Numerical Solution of Inverse Problems by Weak Adversarial Networks.
CoRR, 2020

Learning Cost Functions for Optimal Transport.
CoRR, 2020

Acceleration techniques for level bundle methods in weakly smooth convex constrained optimization.
Comput. Optim. Appl., 2020

Network Diffusions via Neural Mean-Field Dynamics.
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.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

2019
A Two-Stage Algorithm for Joint Multimodal Image Reconstruction.
SIAM J. Imaging Sci., 2019

Learning to Match via Inverse Optimal Transport.
J. Mach. Learn. Res., 2019

2018
Decentralized Consensus Algorithm with Delayed and Stochastic Gradients.
SIAM J. Optim., 2018

Asynchronous broadcast-based decentralized learning in sensor networks.
Int. J. Parallel Emergent Distributed Syst., 2018

Influence prediction for continuous-time information propagation on networks.
Networks Heterog. Media, 2018

Learning to Recommend via Inverse Optimal Matching.
CoRR, 2018

Learning Deep Mean Field Games for Modeling Large Population Behavior.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations.
CoRR, 2017

Wasserstein Learning of Deep Generative Point Process Models.
CoRR, 2017

Wasserstein Learning of Deep Generative Point Process Models.
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.
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.
Proceedings of the 34th International Conference on Machine Learning, 2017

Linking Micro Event History to Macro Prediction in Point Process Models.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Multistage Campaigning in Social Networks.
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.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

2015
Potential induced random teleportation on finite graphs.
Comput. Optim. Appl., 2015

Fast decentralized gradient descent method and applications to in-situ seismic tomography.
Proceedings of the 2015 IEEE International Conference on Big Data, Big Data 2015, Santa Clara, CA, USA, October 29, 2015

2014
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis.
CoRR, 2014

2013
An Efficient Algorithm for Multiphase Image Segmentation With Intensity Bias Correction.
IEEE Trans. Image Process., 2013

Bregman operator splitting with variable stepsize for total variation image reconstruction.
Comput. Optim. Appl., 2013

An enhanced approach for simultaneous image reconstruction and sensitivity map estimation in partially parallel imaging.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging.
SIAM J. Imaging Sci., 2012

Jensen divergence based SPD matrix means and applications.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A variational multiphase model for simultaneous MR image segmentation and bias correction.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Partially parallel MR image reconstruction using sensitivity encoding.
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.
IEEE Trans. Medical Imaging, 2011

Computational Acceleration for MR Image Reconstruction in Partially Parallel Imaging.
IEEE Trans. Medical Imaging, 2011

Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Efficient minimization for dictionary based sparse representation and signal recovery.
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

Find the intrinsic space for multiclass classification.
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.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2009
A New Algorithm for Inverse Consistent Image Registration.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

MR Image Reconstruction via Sparse Representation: Modeling and Algorithm.
Proceedings of the 2009 International Conference on Image Processing, 2009

2008
Improvement of accuracy in deformable registration in radiation therapy.
Proceedings of the International Conference on Image Processing, 2008


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