Preprints, Journal papers, Conference proceedings
Google scholar
Github repositories
Preprints
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A Fast and Adaptive SVD-free Algorithm for General Weighted Low-rank Recovery
A. Dutta, J. Liang and X. Li
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Geometry of First-order Methods and Adaptive Acceleration
C. Poon and J. Liang
Journal papers
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Screening for Sparse Online Learning
J. Liang and C. Poon, Journal of Computational and Graphical Statistics, 2022.
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Improving “Fast Iterative Shrinkage-Thresholding Algorithm”: Faster, Smarter and Greedier
J. Liang, T. Luo and C. Schönlieb, SIAM Journal on Scientific Computing, 44(3), A1069-A1091, 2022. (code)
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Partial Smoothness and Constant Rank
A. Lewis, J. Liang and T. Tian, SIAM Journal on Optimization, 32(1):276-291, 2022.
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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 and C. Schönlieb, Journal of Machine Learning and Research, 23:1-48, 2022.
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On the Bias-Variance Tradeoff in Stochastic Gradient Methods
D. Driggs, J. Liang and C. Schönlieb, Journal of Machine Learning and Research, 23:1-43, 2022.
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The Fun is Finite: Douglas--Rachford and Sudoku Puzzle --- Finite Termination and Local Linear Convergence
R. Tovey and J. Liang, Journal of Applied and Numerical Optimization, 3(3):435-456, 2021.
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SPRING: A Fast Stochastic Proximal Alternating Method for Non-smooth Non-convex Optimization
D. Driggs, J. Tang, J. Liang, M. Davies and C. Schönlieb, SIAM Journal on Imaging Science, 14(04):1932-1970, 2021.
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A Stochastic Alternating Direction Method of Multipliers for Non-smooth and Non-convex Optimization
F. Bian, J. Liang and X. Zhang, Inverse Problems, 37(7), 2021. (DOI: https://doi.org/10.1088/1361-6420/ac0966)
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Best Pair Formulation & Accelerated Scheme for Non-convex Principal Component Pursuit
A. Dutta, F. Hanzely, J. Liang and P. Richtárik, IEEE Trans. on Signal Processing, 68:6128-6141, 2020.
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Convergence Rates of Forward–Douglas–Rachford Splitting Method
C. Molinari, J. Liang and J. Fadili, Journal of Optimization Theory and Applications, 182(2):606-639, 2019. (code)
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Local Linear Convergence Analysis of Primal–Dual Splitting Methods
J. Liang, J. Fadili and G. Peyré, Optimization, 67(6):821-853, 2018.
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Activity Identification and Local Linear Convergence of Forward-Backward-type methods
J. Liang, J. Fadili and G. Peyré, SIAM Journal on Optimization, 27(1):408-437, 2017.
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Local Convergence Properties of Douglas–Rachford and Alternating Direction Method of Multipliers
J. Liang, J. Fadili and G. Peyré, Journal of Optimization Theory and Applications, 172(3):874-913, 2017. (More details on ADMM can be found at arXiv)
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Convergence Rates with Inexact Nonexpansive Operators
J. Liang, J. Fadili and G. Peyré, Mathematical Programming, 59(1):403-434, 2016.
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Retinex by Higher order Total Variation \(L^1\) Decomposition
J. Liang, X. Zhang, Journal of Mathematical Imaging and Vision, 52(3):345-355, 2015.
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Seismic Data Restoration via Data-driven Framelet
J. Liang, J. Ma and X. Zhang, Geophysics, 79(3):65-74, 2014.
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Wavelet Frame based Color Image Demosaicing
J. Liang, J. Li, Z. Shen and X. Zhang, Inverse Problems and Imaging, 7(3):777-794, 2013.
Conference proceedings
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Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
K. Wei, A. Aviles-Rivero, J. Liang, Y. Fu, C. Schönlieb and H. Huang, ICML, 2020. (Outstanding paper award, code)
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Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration
C. Poon, J. Liang, NeurIPS, 2019. (Oral, code)
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Faster FISTA
J. Liang, C. Schönlieb, EUSIPCO, 2018. (code)
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Local Convergence Properties of SAGA/Prox-SVRG and Acceleration
C. Poon, J. Liang and C. Schönlieb, ICML, 2018. (code)
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A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization
J. Liang, J. Fadili and G. Peyré, NeurIPS, 2016.
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Activity Identification and Local Linear Convergence of Douglas-Rachford\/ADMM under Partial Smoothness
J. Liang, J. Fadili, G. Peyré and R. Luke, SSVM, 2015. (Oral)
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Local Linear Convergence of Forward-Backward under Partial Smoothness
J. Liang, J. Fadili and G. Peyré, NeurIPS, 2014.
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On the Convergence Rates of Proximal Splitting Algorithms
J. Liang, J. Fadili and G. Peyré, ICIP, 2014. (Top 10% Papers)
PhD Thesis
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