| On the Convergence of FedAvg on Non-IID Data X Li, K Huang, W Yang, S Wang, Z Zhang International Conference on Learning Representations (ICLR), 2020 | 1376 | 2020 |
| Improving CUR matrix decomposition and the Nyström approximation via adaptive sampling S Wang, Z Zhang The Journal of Machine Learning Research 14 (1), 2729-2769, 2013 | 214 | 2013 |
| Giant: Globally improved approximate newton method for distributed optimization S Wang, F Roosta, P Xu, MW Mahoney Advances in Neural Information Processing Systems 31, 2018 | 116 | 2018 |
| Scalable kernel K-means clustering with Nyström approximation: relative-error bounds S Wang, A Gittens, MW Mahoney The Journal of Machine Learning Research 20 (1), 431-479, 2019 | 113 | 2019 |
| Efficient subspace segmentation via quadratic programming S Wang, X Yuan, T Yao, S Yan, J Shen In the 24th AAAI Conference on Artificial Intelligence (AAAI) 1, 519-524, 2011 | 95 | 2011 |
| Sketched ridge regression: Optimization perspective, statistical perspective, and model averaging S Wang, A Gittens, MW Mahoney International Conference on Machine Learning, 3608-3616, 2017 | 92 | 2017 |
| Nonconvex Relaxation Approaches to Robust Matrix Recovery S Wang, D Liu, Z Zhang International Joint Conference on Artificial Intelligence (IJCAI), 2013 | 89 | 2013 |
| Cola-GNN: Cross-location attention based graph neural networks for long-term ILI prediction S Deng, S Wang, H Rangwala, L Wang, Y Ning Proceedings of the 29th ACM international conference on information …, 2020 | 52 | 2020 |
| Communication efficient decentralized training with multiple local updates X Li, W Yang, S Wang, Z Zhang arXiv preprint arXiv:1910.09126 5, 2019 | 50 | 2019 |
| Oversketch: Approximate matrix multiplication for the cloud V Gupta, S Wang, T Courtade, K Ramchandran 2018 IEEE International Conference on Big Data (Big Data), 298-304, 2018 | 50 | 2018 |
| SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions S Wang, L Luo, Z Zhang Journal of Machine Learning Research 17 (49), 1−49, 2016 | 46* | 2016 |
| A practical guide to randomized matrix computations with MATLAB implementations S Wang arXiv preprint arXiv:1505.07570, 2015 | 46 | 2015 |
| EP-GIG Priors and Applications in Bayesian Sparse Learning. Z Zhang, S Wang, D Liu, MI Jordan, N Lawrence Journal of Machine Learning Research 13 (6), 2012 | 46 | 2012 |
| Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition S Wang, Z Zhang, T Zhang arXiv preprint arXiv:1503.08395, 2015 | 39 | 2015 |
| Accelerating transformer-based deep learning models on fpgas using column balanced block pruning H Peng, S Huang, T Geng, A Li, W Jiang, H Liu, S Wang, C Ding 2021 22nd International Symposium on Quality Electronic Design (ISQED), 142-148, 2021 | 35 | 2021 |
| Open domain short text conceptualization: A generative+ descriptive modeling approach Y Song, S Wang, H Wang Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 35 | 2015 |
| Colorization by Matrix Completion S Wang, Z Zhang In the 25th AAAI Conference on Artificial Intelligence (AAAI-2011), 519-524, 2012 | 33 | 2012 |
| Communication-efficient local decentralized sgd methods X Li, W Yang, S Wang, Z Zhang arXiv preprint arXiv:1910.09126, 2019 | 30 | 2019 |
| Efficient Algorithms and Error Analysis for the Modified Nystrom Method S Wang, Z Zhang In Proceedings of the 17th International Conference on Artificial …, 2014 | 30 | 2014 |
| Error estimation for randomized least-squares algorithms via the bootstrap M Lopes, S Wang, M Mahoney International Conference on Machine Learning, 3217-3226, 2018 | 25 | 2018 |
Zhihua ZhangProfessor of Computer Science, Shanghai Jiao Tong UniversityVerified email at zju.edu.cn
