Jialin Liu

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Wotao YinDamo Academy, Alibaba Group USVerified email at alibaba-inc.com
Xiaohan ChenElectrical and Computer Engineering (DICE) , University of Texas at AustinVerified email at utexas.edu
Zhangyang (Atlas) WangUniversity of Texas at Austin & Picsart AI ResearchVerified email at utexas.edu
Brendt WohlbergLos Alamos National LaboratoryVerified email at lanl.gov
Ernest K. RyuSeoul National UniversityVerified email at snu.ac.kr
Howard HeatonTypal Research, Typal LLCVerified email at typal.llc
Wuchen Li 李务晨University of South Carolina, Assistant professorVerified email at mailbox.sc.edu
HanQin CaiPaul N. Somerville Endowed Chair in Statistics, University of Central FloridaVerified email at math.ucla.edu
Yuantao GuDepartment of Electronic Engineering, Tsinghua UniversityVerified email at tsinghua.edu.cn
Mengdi WangAssociate Professor at Princeton University and DeepMindVerified email at princeton.edu
Jian Kang(康健)School of Electronic and Information Engineering, Soochow UniversityVerified email at suda.edu.cn

Jialin Liu

DAMO Academy, Alibaba Group US

Verified email at alibaba-inc.com - Homepage

Optimization Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Theoretical linear convergence of unfolded ista and its practical weights and thresholds X Chen, J Liu, Z Wang, W Yin Advances in Neural Information Processing Systems, 9061-9071, 2018	159	2018
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers EK Ryu, J Liu, S Wang, X Chen, Z Wang, W Yin International Conference on Machine Learning (ICML), 2019	154	2019
ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA J Liu, X Chen, Z Wang, W Yin International Conference on Learning Representations (ICLR), 2019	119	2019
Learning convolutional sparse coding on complex domain for interferometric phase restoration J Kang, D Hong, J Liu, G Baier, N Yokoya, B Demir IEEE transactions on neural networks and learning systems 32 (2), 826-840, 2020	49	2020
Learning to optimize: A primer and a benchmark T Chen, X Chen, W Chen, H Heaton, J Liu, Z Wang, W Yin arXiv preprint arXiv:2103.12828, 2021	40	2021
Online convolutional dictionary learning J Liu, C Garcia-Cardona, B Wohlberg, W Yin Image Processing (ICIP), 2017 IEEE International Conference on, 1707-1711, 2017	37	2017
First-and Second-Order Methods for Online Convolutional Dictionary Learning J Liu, C Garcia-Cardona, B Wohlberg, W Yin SIAM Journal on Imaging Sciences 11 (2), 1589-1628, 2018	33	2018
Multilevel optimal transport: a fast approximation of Wasserstein-1 distances J Liu, W Yin, W Li, YT Chow SIAM Journal on Scientific Computing, 2021	25	2021
Learning A Minimax Optimizer: A Pilot Study J Shen, X Chen, H Heaton, T Chen, J Liu, W Yin, Z Wang International Conference on Learning Representations (ICLR), 2021	8	2021
Learned robust pca: A scalable deep unfolding approach for high-dimensional outlier detection HQ Cai, J Liu, W Yin Advances in Neural Information Processing Systems 34, 16977-16989, 2021	5	2021
Hyperparameter Tuning is All You Need for LISTA X Chen, J Liu, Z Wang, W Yin Advances in Neural Information Processing Systems 34, 11678-11689, 2021	2	2021
Averaging random projection: A fast online solution for large-scale constrained stochastic optimization J Liu, Y Gu, M Wang 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015	2	2015
Learning-based Optimization for Signal and Image Processing J Liu University of California, Los Angeles, 2020		2020
Learning To Combine Quasi-Newton Methods M Li, J Liu, W Yin

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