Jingwei Liang

According to our database, Jingwei Liang authored at least 31 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

A Guide to Stochastic Optimisation for Large-Scale Inverse Problems.

Matthias J. Ehrhardt, Zeljko Kereta, Jingwei Liang, Junqi Tang

CoRR, 2024

2023

Variable Screening for Sparse Online Regression.

Jingwei Liang, Clarice Poon

J. Comput. Graph. Stat., January, 2023

Robust Graph Representation Learning for Local Corruption Recovery.

Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang

Proceedings of the ACM Web Conference 2023, 2023

2022

Improving "Fast Iterative Shrinkage-Thresholding Algorithm": Faster, Smarter, and Greedier.

Jingwei Liang, Tao Luo, Carola-Bibiane Schönlieb

SIAM J. Sci. Comput., 2022

Partial Smoothness and Constant Rank.

Adrian S. Lewis, Jingwei Liang, Tonghua Tian

SIAM J. Optim., 2022

TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems.

Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Hua Huang, Carola-Bibiane Schönlieb

J. Mach. Learn. Res., 2022

On Biased Stochastic Gradient Estimation.

Derek Driggs, Jingwei Liang, Carola-Bibiane Schönlieb

J. Mach. Learn. Res., 2022

Graph Neural Network for Local Corruption Recovery.

Bingxin Zhou, Yuanhong Jiang, Yu Guang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang

CoRR, 2022

2021

A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization.

Derek Driggs, Junqi Tang, Jingwei Liang, Mike E. Davies, Carola-Bibiane Schönlieb

SIAM J. Imaging Sci., 2021

Screening for Sparse Online Learning.

Jingwei Liang, Clarice Poon

CoRR, 2021

2020

Best Pair Formulation & Accelerated Scheme for Non-Convex Principal Component Pursuit.

Aritra Dutta, Filip Hanzely, Jingwei Liang, Peter Richtárik

IEEE Trans. Signal Process., 2020

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

Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Hua Huang, Carola-Bibiane Schönlieb

CoRR, 2020

Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems.

Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, Hua Huang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Convergence Rates of Forward-Douglas-Rachford Splitting Method.

Cesare Molinari, Jingwei Liang, Jalal Fadili

J. Optim. Theory Appl., 2019

Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration.

Clarice Poon, Jingwei Liang

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.

Clarice Poon, Jingwei Liang, Carola-Bibiane Schoenlieb

Proceedings of the 35th International Conference on Machine Learning, 2018

Faster FISTA.

Jingwei Liang, Carola-Bibiane Schönlieb

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Activity Identification and Local Linear Convergence of Forward-Backward-type Methods.

Jingwei Liang, Jalal Fadili, Gabriel Peyré

SIAM J. Optim., 2017

Local Convergence Properties of Douglas-Rachford and Alternating Direction Method of Multipliers.

Jingwei Liang, Jalal Fadili, Gabriel Peyré

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).

Jingwei Liang

PhD thesis, 2016

Convergence rates with inexact non-expansive operators.

Jingwei Liang, Jalal Fadili, Gabriel Peyré

Math. Program., 2016

A hybrid approach to constrained global optimization.

Jianjun Liu, Shaohua Zhang, Changzhi Wu, Jingwei Liang, Xiangyu Wang, Kok Lay Teo

Appl. Soft Comput., 2016

A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization.

Jingwei Liang, Jalal Fadili, Gabriel Peyré

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 L¹ Decomposition.

Jingwei Liang, Xiaoqun Zhang

J. Math. Imaging Vis., 2015

Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness.

Jingwei Liang, Jalal Fadili, Gabriel Peyré, D. Russell Luke

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

2014

Robust Design of Coordinated Set Planning with the Non-Ideal Channel.

Jianxin Dai, Shuai Liu, Ming Chen, Jun Zhou, Jie Qi, Jingwei Liang

KSII Trans. Internet Inf. Syst., 2014

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

Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic

CoRR, 2014

Local Linear Convergence of Forward-Backward under Partial Smoothness.

Jingwei Liang, Jalal Fadili, Gabriel Peyré

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.

Jingwei Liang, Mohamed-Jalal Fadili, Gabriel Peyré

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.

Jianxin Dai, Jingwei Liang, Ming Chen, Yang Li, Jun Zhou, Yang Zhou

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2013

2004

A deadlock prevention method for FMS with multiple resource acquisitions.

Zhiwu Li, Jingwei Liang, Yang Lu, Anrong Wang

Proceedings of the 8th International Conference on Control, 2004