Jingwei Liang

Orcid: 0000-0003-0752-3851

According to our database1, Jingwei Liang authored at least 30 papers between 2004 and 2023.

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Bibliography

2023
Variable Screening for Sparse Online Regression.
J. Comput. Graph. Stat., January, 2023

Robust Graph Representation Learning for Local Corruption Recovery.
Proceedings of the ACM Web Conference 2023, 2023

2022
Improving "Fast Iterative Shrinkage-Thresholding Algorithm": Faster, Smarter, and Greedier.
SIAM J. Sci. Comput., 2022

Partial Smoothness and Constant Rank.
SIAM J. Optim., 2022

TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems.
J. Mach. Learn. Res., 2022

On Biased Stochastic Gradient Estimation.
J. Mach. Learn. Res., 2022

Graph Neural Network for Local Corruption Recovery.
CoRR, 2022

2021
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization.
SIAM J. Imaging Sci., 2021

Screening for Sparse Online Learning.
CoRR, 2021

2020
Best Pair Formulation & Accelerated Scheme for Non-Convex Principal Component Pursuit.
IEEE Trans. Signal Process., 2020

TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems.
CoRR, 2020

Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Convergence Rates of Forward-Douglas-Rachford Splitting Method.
J. Optim. Theory Appl., 2019

Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration.
Proceedings of the 35th International Conference on Machine Learning, 2018

Faster FISTA.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Activity Identification and Local Linear Convergence of Forward-Backward-type Methods.
SIAM J. Optim., 2017

Local Convergence Properties of Douglas-Rachford and Alternating Direction Method of Multipliers.
J. Optim. Theory Appl., 2017

2016
Convergence Rates of First-Order Operator Splitting Methods. (Taux de convergence des méthodes du premier ordre d'éclatement d'opérateurs).
PhD thesis, 2016

Convergence rates with inexact non-expansive operators.
Math. Program., 2016

A hybrid approach to constrained global optimization.
Appl. Soft Comput., 2016

A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Retinex by Higher Order Total Variation L<sup>1</sup> Decomposition.
J. Math. Imaging Vis., 2015

Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

2014
Robust Design of Coordinated Set Planning with the Non-Ideal Channel.
KSII Trans. Internet Inf. Syst., 2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR, 2014

Local Linear Convergence of Forward-Backward under Partial Smoothness.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On the convergence rates of proximal splitting algorithms.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Research on the cooperative BSs' number of coordinated Multi-Point Transmission with perfect feedback.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2013

2004
A deadlock prevention method for FMS with multiple resource acquisitions.
Proceedings of the 8th International Conference on Control, 2004


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