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Jingwei Liang
Jingwei Liang
Shanghai Jiao Tong University
Bestätigte E-Mail-Adresse bei sjtu.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Convergence Rates with Inexact Non-expansive Operators
J Liang, J Fadili, G Peyré
Mathematical Programming 159 (1), 403–434, 2016
1242016
Seismic Data Restoration via Data-driven Tight Frame
J Liang, J Ma, X Zhang
GEOPHYSICS 79 (3), 65-74, 2014
1232014
Activity Identification and Local Linear Convergence of Forward--Backward-type Methods
J Liang, J Fadili, G Peyré
SIAM Journal on Optimization 27 (1), 408-437, 2017
1222017
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
K Wei, A Aviles-Rivero, J Liang, Y Fu, CB Schönlieb, H Huang
International Conference on Machine Learning, 10158-10169, 2020
1062020
Local Linear Convergence of Forward--Backward under Partial Smoothness
J Liang, J Fadili, G Peyré
Advances in Neural Information Processing Systems 27, 1970-1978, 2014
1002014
Improving “Fast Iterative Shrinkage-Thresholding Algorithm”: Faster, Smarter, and Greedier
J Liang, T Luo, CB Schönlieb
SIAM Journal on Scientific Computing 44 (3), A1069-A1091, 2022
87*2022
Retinex by Higher Order Total Variation L1 Decomposition
J Liang, X Zhang
Journal of Mathematical Imaging and Vision 52 (3), 345-355, 2015
552015
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration
C Poon, J Liang
Advances in Neural Information Processing Systems, 7355-7363, 2019
532019
Local Convergence Properties of Douglas--Rachford and Alternating Direction Method of Multipliers
J Liang, J Fadili, G Peyré
Journal of Optimization Theory and Applications 172 (3), 874-913, 2017
482017
A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization
J Liang, J Fadili, G Peyré
Advances in Neural Information Processing Systems, 4035-4043, 2016
462016
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration
C Poon, J Liang, CB Schönlieb
International Conference on Machine Learning, 4124-4132, 2018
442018
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization
D Driggs, J Tang, J Liang, M Davies, CB Schönlieb
SIAM Journal on Imaging Sciences 14 (4), 1932-1970, 2021
43*2021
TFPNP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
K Wei, A Aviles-Rivero, J Liang, Y Fu, H Huang, CB Schönlieb
Journal of Machine Learning Research 23 (16), 1-48, 2022
392022
Convergence Rates of First-Order Operator Splitting Methods
J Liang
Normandie Université; GREYC CNRS UMR 6072, 2016
382016
Local Linear Convergence Analysis of Primal--Dual Splitting Methods
J Liang, J Fadili, G Peyré
Optimization, 821-853, 2018
272018
Activity Identification and Local Linear Convergence of Douglas–Rachford/ADMM under Partial Smoothness
J Liang, J Fadili, G Peyré, R Luke
International Conference on Scale Space and Variational Methods in Computer …, 2015
262015
Geometry of First-Order Methods and Adaptive Acceleration
C Poon, J Liang
arXiv preprint arXiv:2003.03910, 2020
232020
Convergence Rates of Forward--Douglas--Rachford Splitting Method
C Molinari, J Liang, J Fadili
Journal of Optimization Theory and Applications, 1-34, 2019
232019
Wavelet Frame Based Color Image Demosaicing
J Liang, J Li, Z Shen, Z Xiaoqun
Inverse Problems and Imaging 7 (3), 777-794, 2013
162013
On Biased Stochastic Gradient Estimation
D Driggs, J Liang, CB Schönlieb
Journal of Machine Learning Research 23 (24), 1-43, 2022
152022
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