Ji Liu

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Ce ZhangETH ZurichVerified email at inf.ethz.ch
Xiangru LianKuaishou Technology Co., Ltd, University of RochesterVerified email at mail.xrlian.com
Yang CongState Key Laboratory of Robotics, SIA, Chinese Academy of Sciences (CAS)Verified email at sia.cn
Jieping Ye, IEEE Fellow & ACM Distin...University of Michigan & BeikeVerified email at umich.edu
Tong ZhangHKUSTVerified email at tongzhang-ml.org
Hanlin TangUniversity of RochesterVerified email at ur.rochester.edu
Haichuan YangUniversity of RochesterVerified email at rochester.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerified email at cs.wisc.edu
Junsong YuanState University of New York at BuffaloVerified email at buffalo.edu
Peter WonkaKing Abdullah University of Science and Technology (KAUST)Verified email at kaust.edu.sa
Wei ZhangIBM T.J.Watson Research CenterVerified email at us.ibm.com
Bo LiuAssociate Professor, Auburn UniversityVerified 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
Chen YuUniversity of Rochester, PhDVerified email at ur.rochester.edu
Yijun HuangHuawei Seattle Lab; IntelliProVerified email at huawei.com
Zhangyang (Atlas) WangUniversity of Texas at Austin & Picsart AI ResearchVerified email at utexas.edu
Shaoduo GanETH ZurichVerified email at inf.ethz.ch
Sridhar MahadevanDirector, Data Science Lab, Adobe Research & Professor, University of Massachusetts, AmherstVerified email at cs.umass.edu
Jiebo LuoProfessor of Computer Science, University of RochesterVerified email at cs.rochester.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	1510	2013
Sparse reconstruction cost for abnormal event detection Y Cong, J Yuan, J Liu CVPR 2011, 3449-3456, 2011	849	2011
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 30, 2017	672	2017
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization X Lian, Y Huang, Y Li, J Liu NIPS arXiv preprint arXiv:1506.08272, 2015	421	2015
Gradient sparsification for communication-efficient distributed optimization J Wangni, J Wang, J Liu, T Zhang Advances in Neural Information Processing Systems 31, 2018	395	2018
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm J Liu, SJ Wright, C Ré, V Bittorf, S Sridhar arXiv:1311.1873, 2013	386	2013
Abnormal event detection in crowded scenes using sparse representation Y Cong, J Yuan, J Liu Pattern Recognition 46 (7), 1851-1864, 2013	319	2013
Asynchronous decentralized parallel stochastic gradient descent X Lian, W Zhang, C Zhang, J Liu International Conference on Machine Learning, 3043-3052, 2018	307	2018
A survey of data-intensive scientific workflow management J Liu, E Pacitti, P Valduriez, M Mattoso Journal of Grid Computing 13 (4), 457-493, 2015	294	2015
Asynchronous stochastic coordinate descent: Parallelism and convergence properties J Liu, SJ Wright SIAM Journal on Optimization 25 (1), 351-376, 2015	254	2015
Staleness-aware Async-SGD for Distributed Deep Learning W Zhang, S Gupta, X Lian, J Liu IJCAI, arXiv preprint arXiv:1511.05950, 2015	234	2015
: Decentralized Training over Decentralized Data H Tang, X Lian, M Yan, C Zhang, J Liu International Conference on Machine Learning, 4848-4856, 2018	227	2018
Communication compression for decentralized training H Tang, S Gan, C Zhang, T Zhang, J Liu Advances in Neural Information Processing Systems 31, 2018	189	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	183*	2017
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	157	2012
High-entropy pyrochlores with low thermal conductivity for thermal barrier coating materials F Li, L Zhou, JX Liu, Y Liang, GJ Zhang Journal of Advanced Ceramics 8 (4), 576-582, 2019	153	2019
Doublesqueeze: Parallel stochastic gradient descent with double-pass error-compensated compression H Tang, C Yu, X Lian, T Zhang, J Liu International Conference on Machine Learning, 6155-6165, 2019	140	2019
Finite-Sample Analysis of Proximal Gradient TD Algorithms B Liu, J Liu, M Ghavamzadeh, S Mahadevan, M Petrik UAI, 2015	139*	2015
Distributed optimization for control A Nedić, J Liu Annual Review of Control, Robotics, and Autonomous Systems 1, 77-103, 2018	130	2018
Imram: Iterative matching with recurrent attention memory for cross-modal image-text retrieval H Chen, G Ding, X Liu, Z Lin, J Liu, J Han Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	111	2020

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