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 | 2003 | 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 | 1217 | 2017 |
Sparse reconstruction cost for abnormal event detection Y Cong, J Yuan, J Liu CVPR 2011, 3449-3456, 2011 | 976 | 2011 |
Gradient sparsification for communication-efficient distributed optimization J Wangni, J Wang, J Liu, T Zhang Advances in Neural Information Processing Systems 31, 2018 | 638 | 2018 |
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization X Lian, Y Huang, Y Li, J Liu NIPS arXiv preprint arXiv:1506.08272, 2015 | 546 | 2015 |
Asynchronous decentralized parallel stochastic gradient descent X Lian, W Zhang, C Zhang, J Liu International Conference on Machine Learning, 3043-3052, 2018 | 528 | 2018 |
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm J Liu, SJ Wright, C Ré, V Bittorf, S Sridhar arXiv:1311.1873, 2013 | 434 | 2013 |
: Decentralized Training over Decentralized Data H Tang, X Lian, M Yan, C Zhang, J Liu International Conference on Machine Learning, 4848-4856, 2018 | 382 | 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 | 371 | 2015 |
Abnormal event detection in crowded scenes using sparse representation Y Cong, J Yuan, J Liu Pattern Recognition 46 (7), 1851-1864, 2013 | 366 | 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 | 360 | 2020 |
Staleness-aware Async-SGD for Distributed Deep Learning W Zhang, S Gupta, X Lian, J Liu IJCAI, arXiv preprint arXiv:1511.05950, 2015 | 316 | 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 | 305 | 2019 |
Communication compression for decentralized training H Tang, S Gan, C Zhang, T Zhang, J Liu Advances in Neural Information Processing Systems 31, 2018 | 294 | 2018 |
Asynchronous stochastic coordinate descent: Parallelism and convergence properties J Liu, SJ Wright SIAM Journal on Optimization 25 (1), 351-376, 2015 | 285 | 2015 |
Distributed optimization for control A Nedić, J Liu Annual Review of Control, Robotics, and Autonomous Systems 1 (1), 77-103, 2018 | 261 | 2018 |
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 | 244 | 2019 |
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 | 243* | 2017 |
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 | 199 | 2021 |
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 | 198 | 2018 |