Jingwei Liang

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	すべて	2019 年以来
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i10 指標	23	22

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Jalal FadiliCNRS-ENSICAEN-Université Caen確認したメールアドレス: greyc.ensicaen.fr
Gabriel PeyréCNRS, DMA, Ecole Normale Supérieure確認したメールアドレス: ens.fr
Carola-Bibiane SchönliebDAMTP, University of Cambridge確認したメールアドレス: cam.ac.uk
Xiaoqun ZhangShanghai Jiao Tong University確認したメールアドレス: sjtu.edu.cn
Clarice PoonAssistant Professor確認したメールアドレス: bath.ac.uk
Angelica I. Aviles-RiveroYau Mathematical Sciences Center, Tsinghua University確認したメールアドレス: tsinghua.edu.cn
Derek DriggsUniversity of Cambridge確認したメールアドレス: cantab.ac.uk
Junqi TangAssistant Professor, University of Birmingham確認したメールアドレス: bham.ac.uk
Jianwei MaProfessor, School of Earth and Space Sciences, Peking University; Harbin Institute of Technology確認したメールアドレス: hit.edu.cn
mike daviesProfessor of Signal and Image Processing, University of Edinburgh確認したメールアドレス: ed.ac.uk
Russell LukeProfessor of Continuous Optimization, Universität Göttingen確認したメールアドレス: math.uni-goettingen.de
Aritra DuttaAssistant Professor, University of Central Florida確認したメールアドレス: ucf.edu
Adrian LewisProfessor, School of Operations Research and Information Engineering, Cornell Unviersity確認したメールアドレス: cornell.edu
Yu Guang WangAssociate Professor, Shanghai Jiao Tong University, University of New South Wales確認したメールアドレス: sjtu.edu.cn
Bingxin ZhouShanghai Jiao Tong University確認したメールアドレス: sjtu.edu.cn
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of Sydney確認したメールアドレス: sydney.edu.au
Shirui PanFull Professor, ARC Future Fellow, FQA, Director of TrustAGI Lab, Griffith University確認したメールアドレス: griffith.edu.au
Cesare MolinariUniversità di Genova確認したメールアドレス: edu.unige.it
Zuowei ShenNational University of Singapore確認したメールアドレス: nus.edu.sg
Fengmiao BianHong Kong University of Science and Technology確認したメールアドレス: ust.hk

フォロー

Jingwei Liang

Shanghai Jiao Tong University

確認したメールアドレス: sjtu.edu.cn - ホームページ

Optimization


タイトル引用回数順公開年順タイトル順	引用先引用先	年
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	129	2017
Convergence Rates with Inexact Non-expansive Operators J Liang, J Fadili, G Peyré Mathematical Programming 159 (1), 403–434, 2016	126	2016
Seismic Data Restoration via Data-driven Tight Frame J Liang, J Ma, X Zhang GEOPHYSICS 79 (3), 65-74, 2014	124	2014
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	110	2020
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	104	2014
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	91*	2022
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration C Poon, J Liang Advances in Neural Information Processing Systems, 7355-7363, 2019	55	2019
Retinex by Higher Order Total Variation L1 Decomposition J Liang, X Zhang Journal of Mathematical Imaging and Vision 52 (3), 345-355, 2015	55	2015
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	50	2017
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration C Poon, J Liang, CB Schönlieb International Conference on Machine Learning, 4124-4132, 2018	46	2018
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	46	2016
Convergence Rates of First-Order Operator Splitting Methods J Liang Normandie Université; GREYC CNRS UMR 6072, 2016	45	2016
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	44*	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	42	2022
Local Linear Convergence Analysis of Primal--Dual Splitting Methods J Liang, J Fadili, G Peyré Optimization, 821-853, 2018	27	2018
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	26	2015
Geometry of First-Order Methods and Adaptive Acceleration C Poon, J Liang arXiv preprint arXiv:2003.03910, 2020	24	2020
Convergence Rates of Forward--Douglas--Rachford Splitting Method C Molinari, J Liang, J Fadili Journal of Optimization Theory and Applications, 1-34, 2019	23	2019
On Biased Stochastic Gradient Estimation D Driggs, J Liang, CB Schönlieb Journal of Machine Learning Research 23 (24), 1-43, 2022	16	2022
Wavelet Frame Based Color Image Demosaicing J Liang, J Li, Z Shen, Z Xiaoqun Inverse Problems and Imaging 7 (3), 777-794, 2013	16	2013

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