Ji Liu

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	All	Since 2015
Citations	5923	5405
h-index	36	35
i10-index	66	64

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201120122013201420152016201720182019202035 61 133 239 351 598 658 922 1343 1511

Co-authors

Xiangru LianDepartment of Computer Science, University of RochesterVerified email at ur.rochester.edu
Yang CongState Key Laboratory of Robotics, SIA, Chinese Academy of Sciences (CAS)Verified email at sia.cn
Ce ZhangETH ZurichVerified email at inf.ethz.ch
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
Hanlin TangUniversity of RochesterVerified email at ur.rochester.edu
Jiebo LuoProfessor of Computer Science, University of RochesterVerified email at cs.rochester.edu
Junsong YuanState University of New York at BuffaloVerified email at buffalo.edu
Wei ZhangIBM T.J.Watson Research CenterVerified email at us.ibm.com
Sridhar MahadevanDirector, Data Science Lab, Adobe Research & Professor, University of Massachusetts, AmherstVerified email at cs.umass.edu
Przemyslaw MusialskiAssociate Professor of Computer Science, New Jersey Institute of TechnologyVerified email at njit.edu
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.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
Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.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	1116	2013
Sparse reconstruction cost for abnormal event detection Y Cong, J Yuan, J Liu CVPR 2011, 3449-3456, 2011	650	2011
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm J Liu, SJ Wright, C Ré, V Bittorf, S Sridhar arXiv:1311.1873, 2013	330	2013
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization X Lian, Y Huang, Y Li, J Liu NIPS arXiv preprint arXiv:1506.08272, 2015	293	2015
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 Advances in Neural Information Processing Systems, 5330-5340, 2017	292	2017
Abnormal event detection in crowded scenes using sparse representation Y Cong, J Yuan, J Liu Pattern Recognition 46 (7), 1851-1864, 2013	262	2013
Asynchronous stochastic coordinate descent: Parallelism and convergence properties J Liu, SJ Wright SIAM Journal on Optimization 25 (1), 351-376, 2015	221	2015
Gradient sparsification for communication-efficient distributed optimization J Wangni, J Wang, J Liu, T Zhang Advances in Neural Information Processing Systems, 1299-1309, 2018	163	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	161	2012
Staleness-aware Async-SGD for Distributed Deep Learning W Zhang, S Gupta, X Lian, J Liu IJCAI, arXiv preprint arXiv:1511.05950, 2015	149	2015
Asynchronous decentralized parallel stochastic gradient descent X Lian, W Zhang, C Zhang, J Liu International Conference on Machine Learning, 3043-3052, 2018	132	2018
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	123*	2017
Finite-Sample Analysis of Proximal Gradient TD Algorithms B Liu, J Liu, M Ghavamzadeh, S Mahadevan, M Petrik UAI, 2015	105	2015
D: Decentralized Training over Decentralized Data H Tang, X Lian, M Yan, C Zhang, J Liu arXiv preprint arXiv:1803.07068, 2018	89	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
Communication compression for decentralized training H Tang, S Gan, C Zhang, T Zhang, J Liu Advances in Neural Information Processing Systems, 7652-7662, 2018	82*	2018
Sparse non-negative tensor factorization using columnwise coordinate descent J Liu, J Liu, P Wonka, J Ye Pattern Recognition 45 (1), 649-656, 2012	73	2012
Accelerating stochastic composition optimization M Wang, J Liu, EX Fang The Journal of Machine Learning Research 18 (1), 3721-3743, 2017	63	2017
An Accelerated Randomized Kaczmarz Algorithm J Liu, SJ Wright arXiv:1310.2887, 2013	61	2013
Deep sparse feature selection for computer aided endoscopy diagnosis Y Cong, S Wang, J Liu, J Cao, Y Yang, J Luo Pattern Recognition 48 (3), 907-917, 2015	57	2015

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