| 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 | 2235 | 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 | 229 | 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 | 148 | 2018 |
| Scalable kernel k-means clustering with nystrom approximation: Relative-error bounds S Wang, A Gittens, MW Mahoney Journal of Machine Learning Research 20 (12), 1-49, 2019 | 140 | 2019 |
| Sketched ridge regression: Optimization perspective, statistical perspective, and model averaging S Wang, A Gittens, MW Mahoney Journal of Machine Learning Research 18 (218), 1-50, 2018 | 99 | 2018 |
| 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 | 99 | 2011 |
| 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 | 97 | 2020 |
| Nonconvex Relaxation Approaches to Robust Matrix Recovery S Wang, D Liu, Z Zhang International Joint Conference on Artificial Intelligence (IJCAI), 2013 | 93 | 2013 |
| 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 | 77 | 2021 |
| 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 | 62 | 2018 |
| Communication efficient decentralized training with multiple local updates X Li, W Yang, S Wang, Z Zhang stat 1050, 21, 2019 | 60 | 2019 |
| A practical guide to randomized matrix computations with MATLAB implementations S Wang arXiv preprint arXiv:1505.07570, 2015 | 54 | 2015 |
| Federated reinforcement learning with environment heterogeneity H Jin, Y Peng, W Yang, S Wang, Z Zhang International Conference on Artificial Intelligence and Statistics, 18-37, 2022 | 52 | 2022 |
| Communication-efficient local decentralized SGD methods X Li, W Yang, S Wang, Z Zhang arXiv preprint arXiv:1910.09126, 2019 | 52 | 2019 |
| 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 | 50* | 2016 |
| 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 | 48 | 2012 |
| 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 | 46 | 2015 |
| Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition S Wang, Z Zhang, T Zhang arXiv preprint arXiv:1503.08395, 2015 | 41 | 2015 |
| Colorization by Matrix Completion S Wang, Z Zhang In the 25th AAAI Conference on Artificial Intelligence (AAAI-2011), 519-524, 2012 | 33 | 2012 |
| Efficient Algorithms and Error Analysis for the Modified Nystrom Method S Wang, Z Zhang In Proceedings of the 17th International Conference on Artificial …, 2014 | 31 | 2014 |
Zhihua ZhangProfessor of Computer Science, Shanghai Jiao Tong University在 zju.edu.cn 的电子邮件经过验证
