Ji Liu
Ji Liu
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
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
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
Sparse reconstruction cost for abnormal event detection
Y Cong, J Yuan, J Liu
CVPR 2011, 3449-3456, 2011
Gradient sparsification for communication-efficient distributed optimization
J Wangni, J Wang, J Liu, T Zhang
Advances in Neural Information Processing Systems 31, 2018
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization
X Lian, Y Huang, Y Li, J Liu
NIPS arXiv preprint arXiv:1506.08272, 2015
Asynchronous decentralized parallel stochastic gradient descent
X Lian, W Zhang, C Zhang, J Liu
International Conference on Machine Learning, 3043-3052, 2018
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm
J Liu, SJ Wright, C Ré, V Bittorf, S Sridhar
arXiv:1311.1873, 2013
: Decentralized Training over Decentralized Data
H Tang, X Lian, M Yan, C Zhang, J Liu
International Conference on Machine Learning, 4848-4856, 2018
A survey of data-intensive scientific workflow management
J Liu, E Pacitti, P Valduriez, M Mattoso
Journal of Grid Computing 13, 457-493, 2015
Abnormal event detection in crowded scenes using sparse representation
Y Cong, J Yuan, J Liu
Pattern Recognition 46 (7), 1851-1864, 2013
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
Staleness-aware Async-SGD for Distributed Deep Learning
W Zhang, S Gupta, X Lian, J Liu
IJCAI, arXiv preprint arXiv:1511.05950, 2015
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, 576-582, 2019
Communication compression for decentralized training
H Tang, S Gan, C Zhang, T Zhang, J Liu
Advances in Neural Information Processing Systems 31, 2018
Asynchronous stochastic coordinate descent: Parallelism and convergence properties
J Liu, SJ Wright
SIAM Journal on Optimization 25 (1), 351-376, 2015
Distributed optimization for control
A Nedić, J Liu
Annual Review of Control, Robotics, and Autonomous Systems 1, 77-103, 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
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
Parametrized deep q-networks learning: Reinforcement learning with discrete-continuous hybrid action space
J Xiong, Q Wang, Z Yang, P Sun, L Han, Y Zheng, H Fu, T Zhang, J Liu, ...
arXiv preprint arXiv:1810.06394, 2018
Data poisoning attacks on federated machine learning
G Sun, Y Cong, J Dong, Q Wang, L Lyu, J Liu
IEEE Internet of Things Journal 9 (13), 11365-11375, 2021
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Artikkelit 1–20