Ji Liu

Cited by

	All	Since 2016
Citations	6274	5361
h-index	36	33
i10-index	70	67

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2011201220132014201520162017201820192020202133 61 134 239 348 590 670 929 1342 1792 30

Co-authors

Xiangru LianDepartment of Computer Science, University of RochesterVerified email at ur.rochester.edu
Ce ZhangETH ZurichVerified email at inf.ethz.ch
Yang CongState Key Laboratory of Robotics, SIA, Chinese Academy of Sciences (CAS)Verified email at sia.cn
Jieping Ye, IEEE FellowUniversity of MichiganVerified email at umich.edu
Tong ZhangHKUSTVerified email at tongzhang-ml.org
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerified email at cs.wisc.edu
Peter WonkaKing Abdullah University of Science and Technology (KAUST)Verified email at kaust.edu.sa
Haichuan YangUniversity of RochesterVerified email at rochester.edu
Bo LiuAuburn UniversityVerified email at cs.umass.edu
Wei ZhangIBM T.J.Watson Research CenterVerified email at us.ibm.com
Hanlin TangUniversity of RochesterVerified email at ur.rochester.edu
Junsong YuanState University of New York at BuffaloVerified email at buffalo.edu
Sridhar MahadevanDirector, Data Science Lab, Adobe Research & Professor, University of Massachusetts, AmherstVerified email at cs.umass.edu
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Przemyslaw MusialskiAssociate Professor, New Jersey Institute of TechnologyVerified email at njit.edu
Jiebo LuoProfessor of Computer Science, University of RochesterVerified email at cs.rochester.edu
Chen YuUniversity of Rochester, PhDVerified email at ur.rochester.edu
Shupeng GuiUniversity of RochesterVerified email at ur.rochester.edu
Dan AlistarhIST AustriaVerified email at csail.mit.edu
Huan ZhangUCLA (previously UC Davis)Verified email at ucla.edu

Ji Liu

University of Rochester

Verified email at cs.rochester.edu - Homepage

machine learning optimization reinforcement learning computer vision compressed sensing.


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Tensor Completion for Estimating Missing Values in Visual Data J Liu, P Musialski, P Wonka, J Ye IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (1), 208-220, 2013	1143	2013
Sparse reconstruction cost for abnormal event detection Y Cong, J Yuan, J Liu CVPR 2011, 3449-3456, 2011	688	2011
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm J Liu, SJ Wright, C Ré, V Bittorf, S Sridhar arXiv:1311.1873, 2013	347	2013
Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent X Lian, C Zhang, H Zhang, CJ Hsieh, W Zhang, J Liu arXiv preprint arXiv:1705.09056, 2017	323	2017
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization X Lian, Y Huang, Y Li, J Liu NIPS arXiv preprint arXiv:1506.08272, 2015	307	2015
Abnormal event detection in crowded scenes using sparse representation Y Cong, J Yuan, J Liu Pattern Recognition 46 (7), 1851-1864, 2013	271	2013
Asynchronous stochastic coordinate descent: Parallelism and convergence properties J Liu, SJ Wright SIAM Journal on Optimization 25 (1), 351-376, 2015	236	2015
Gradient sparsification for communication-efficient distributed optimization J Wangni, J Wang, J Liu, T Zhang arXiv preprint arXiv:1710.09854, 2017	189	2017
Staleness-aware Async-SGD for Distributed Deep Learning W Zhang, S Gupta, X Lian, J Liu IJCAI, arXiv preprint arXiv:1511.05950, 2015	165	2015
Asynchronous decentralized parallel stochastic gradient descent X Lian, W Zhang, C Zhang, J Liu International Conference on Machine Learning, 3043-3052, 2018	144	2018
Learning incoherent sparse and low-rank patterns from multiple tasks J Chen, J Liu, J Ye ACM Transaction on Knowledge Discovery from Data 5 (4), 2012	141	2012
Zipml: Training linear models with end-to-end low precision, and a little bit of deep learning H Zhang, J Li, K Kara, D Alistarh, J Liu, C Zhang International Conference on Machine Learning, 4035-4043, 2017	132*	2017
Finite-Sample Analysis of Proximal Gradient TD Algorithms B Liu, J Liu, M Ghavamzadeh, S Mahadevan, M Petrik UAI, 2015	110	2015
: Decentralized Training over Decentralized Data H Tang, X Lian, M Yan, C Zhang, J Liu International Conference on Machine Learning, 4848-4856, 2018	101	2018
Communication compression for decentralized training H Tang, S Gan, C Zhang, T Zhang, J Liu arXiv preprint arXiv:1803.06443, 2018	97	2018
Exclusive Feature Learning on Arbitrary Structures via -norm D Kong, R Fujimaki, J Liu, F Nie, C Ding Advances in Neural Information Processing Systems, 1655-1663, 2014	83	2014
Sparse non-negative tensor factorization using columnwise coordinate descent J Liu, J Liu, P Wonka, J Ye Pattern Recognition 45 (1), 649-656, 2012	75	2012
Accelerating stochastic composition optimization M Wang, J Liu, EX Fang arXiv preprint arXiv:1607.07329, 2016	69	2016
An Accelerated Randomized Kaczmarz Algorithm J Liu, SJ Wright arXiv:1310.2887, 2013	68	2013
A comprehensive linear speedup analysis for asynchronous stochastic parallel optimization from zeroth-order to first-order X Lian, H Zhang, CJ Hsieh, Y Huang, J Liu arXiv preprint arXiv:1606.00498, 2016	58	2016

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