| 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 | 2082 | 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 | 1303 | 2017 |
| Sparse reconstruction cost for abnormal event detection Y Cong, J Yuan, J Liu CVPR 2011, 3449-3456, 2011 | 993 | 2011 |
| Gradient sparsification for communication-efficient distributed optimization J Wangni, J Wang, J Liu, T Zhang Advances in Neural Information Processing Systems 31, 2018 | 669 | 2018 |
| Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization X Lian, Y Huang, Y Li, J Liu NIPS arXiv preprint arXiv:1506.08272, 2015 | 565 | 2015 |
| Asynchronous decentralized parallel stochastic gradient descent X Lian, W Zhang, C Zhang, J Liu International Conference on Machine Learning, 3043-3052, 2018 | 554 | 2018 |
| An Asynchronous Parallel Stochastic Coordinate Descent Algorithm J Liu, SJ Wright, C Ré, V Bittorf, S Sridhar arXiv:1311.1873, 2013 | 446 | 2013 |
| : Decentralized Training over Decentralized Data H Tang, X Lian, M Yan, C Zhang, J Liu International Conference on Machine Learning, 4848-4856, 2018 | 403 | 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 | 395 | 2020 |
| A survey of data-intensive scientific workflow management J Liu, E Pacitti, P Valduriez, M Mattoso Journal of Grid Computing 13, 457-493, 2015 | 376 | 2015 |
| Abnormal event detection in crowded scenes using sparse representation Y Cong, J Yuan, J Liu Pattern Recognition 46 (7), 1851-1864, 2013 | 374 | 2013 |
| 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 | 329 | 2019 |
| Staleness-aware Async-SGD for Distributed Deep Learning W Zhang, S Gupta, X Lian, J Liu IJCAI, arXiv preprint arXiv:1511.05950, 2015 | 327 | 2015 |
| Communication compression for decentralized training H Tang, S Gan, C Zhang, T Zhang, J Liu Advances in Neural Information Processing Systems 31, 2018 | 317 | 2018 |
| Asynchronous stochastic coordinate descent: Parallelism and convergence properties J Liu, SJ Wright SIAM Journal on Optimization 25 (1), 351-376, 2015 | 293 | 2015 |
| Distributed optimization for control A Nedić, J Liu Annual Review of Control, Robotics, and Autonomous Systems 1 (1), 77-103, 2018 | 278 | 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 | 261 | 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 | 248* | 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 | 225 | 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 | 217 | 2018 |
Ce ZhangTogether AI; University of ChicagoVerified email at together.xyz
