Xiaojing Ye
Xiaojing Ye
Associate Professor, Department of Mathematics & Statistics, Georgia State University, Atlanta, GA
Verified email at - Homepage
Cited by
Cited by
Weak adversarial networks for high-dimensional partial differential equations
Y Zang, G Bao, X Ye, H Zhou
Journal of Computational Physics 411, 109409, 2020
Projection onto a simplex
Y Chen, X Ye
arXiv preprint arXiv:1101.6081, 2011
Fake news mitigation via point process based intervention
M Farajtabar, J Yang, X Ye, H Xu, R Trivedi, E Khalil, S Li, L Song, H Zha
International conference on machine learning, 1097-1106, 2017
Relevant sparse codes with variational information bottleneck
M Chalk, O Marre, G Tkacik
Advances in Neural Information Processing Systems 29, 2016
Wasserstein learning of deep generative point process models
S Xiao, M Farajtabar, X Ye, J Yan, L Song, H Zha
Advances in neural information processing systems 30, 2017
A novel method and fast algorithm for MR image reconstruction with significantly under-sampled data
Y Chen, X Ye, F Huang
Inverse Problems and Imaging 4 (2), 223-240, 2010
Computational acceleration for MR image reconstruction in partially parallel imaging
X Ye, Y Chen, F Huang
IEEE transactions on medical imaging 30 (5), 1055-1063, 2010
A rapid and robust numerical algorithm for sensitivity encoding with sparsity constraints: self‐feeding sparse SENSE
F Huang, Y Chen, W Yin, W Lin, X Ye, W Guo, A Reykowski
Magnetic Resonance in Medicine 64 (4), 1078-1088, 2010
Bregman operator splitting with variable stepsize for total variation image reconstruction
Y Chen, WW Hager, M Yashtini, X Ye, H Zhang
Computational optimization and applications 54 (2), 317-342, 2013
Fast algorithms for image reconstruction with application to partially parallel MR imaging
Y Chen, W Hager, F Huang, D Phan, X Ye, W Yin
SIAM Journal on Imaging Sciences 5 (1), 90-118, 2012
Numerical solution of inverse problems by weak adversarial networks
G Bao, X Ye, Y Zang, H Zhou
Inverse Problems 36 (11), 115003, 2020
Learning deep mean field games for modeling large population behavior
J Yang, X Ye, R Trivedi, H Xu, H Zha
arXiv preprint arXiv:1711.03156, 2017
Machine learning for tomographic imaging
G Wang, Y Zhang, X Ye, X Mou
IOP Publishing, 2019
Learning to match via inverse optimal transport
R Li, X Ye, H Zhou, H Zha
Journal of machine learning research 20 (80), 1-37, 2019
Fast MR Image Reconstruction for Partially Parallel Imaging With Arbitrary k-space trajectories
X Ye, Y Chen, W Lin, F Huang
Medical Imaging, IEEE Transactions on 30 (3), 575-585, 2011
Deep mean field games for learning optimal behavior policy of large populations
J Yang, X Ye, R Trivedi, H Xu, H Zha
International Conference on Learning Representations, 2018
Decentralized consensus algorithm with delayed and stochastic gradients
B Sirb, X Ye
SIAM Journal on Optimization 28 (2), 1232-1254, 2018
Lyapunov-Net: A deep neural network architecture for Lyapunov function approximation
N Gaby, F Zhang, X Ye
2022 IEEE 61st Conference on Decision and Control (CDC), 2091-2096, 2022
Sparse classification for computer aided diagnosis using learned dictionaries
M Liu, L Lu, X Ye, S Yu, M Salganicoff
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011
Consensus optimization with delayed and stochastic gradients on decentralized networks
B Sirb, X Ye
2016 IEEE International Conference on Big Data (Big Data), 76-85, 2016
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