Xiaojing Ye
Xiaojing Ye
Associate Professor, Department of Mathematics & Statistics, Georgia State University, Atlanta, GA
Verified email at gsu.edu - Homepage
Cited by
Cited by
Projection onto a simplex
Y Chen, X Ye
arXiv preprint arXiv:1101.6081, 2011
Relevant sparse codes with variational information bottleneck
M Chalk, O Marre, G Tkacik
Advances in Neural Information Processing Systems 29, 1957-1965, 2016
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
Wasserstein learning of deep generative point process models
S Xiao, M Farajtabar, X Ye, J Yan, L Song, H Zha
arXiv preprint arXiv:1705.08051, 2017
A novel method and fast algorithm for MR image reconstruction with significantly under-sampled data
Y Chen, X Ye, F Huang
Inverse Problems & Imaging 4 (2), 223, 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
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
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
Weak adversarial networks for high-dimensional partial differential equations
Y Zang, G Bao, X Ye, H Zhou
Journal of Computational Physics 411, 109409, 2020
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 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
Sparse classification for computer aided diagnosis using learned dictionaries
M Liu, L Lu, X Ye, S Yu, M Salganicoff
International Conference on Medical Image Computing and Computer-Assisted …, 2011
Implicit causal models for genome-wide association studies
D Tran, DM Blei
arXiv preprint arXiv:1710.10742, 2017
Accelerated barrier optimization compressed sensing (ABOCS) for CT reconstruction with improved convergence
T Niu, X Ye, Q Fruhauf, M Petrongolo, L Zhu
Physics in Medicine & Biology 59 (7), 1801, 2014
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
An efficient algorithm for multiphase image segmentation with intensity bias correction
H Zhang, X Ye, Y Chen
IEEE transactions on image processing 22 (10), 3842-3851, 2013
Decentralised seismic tomography computing in cyber-physical sensor systems
L Zhao, WZ Song, L Shi, X Ye
Cyber-Physical Systems 1 (2-4), 91-112, 2015
Fast decentralized gradient descent method and applications to in-situ seismic tomography
L Zhao, WZ Song, X Ye
2015 IEEE International Conference on Big Data (Big Data), 908-917, 2015
Asynchronous broadcast-based decentralized learning in sensor networks
L Zhao, WZ Song, X Ye, Y Gu
International Journal of Parallel, Emergent and Distributed Systems 33 (6 …, 2018
Machine learning for tomographic imaging
G Wang, Y Zhang, X Ye, X Mou
IOP Publishing, 2019
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