| Parallel restarted SGD with faster convergence and less communication: Demystifying why model averaging works for deep learning H Yu, S Yang, S Zhu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5693-5700, 2019 | 162* | 2019 |
| Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification CY Wee, S Yang, PT Yap, D Shen Brain imaging and behavior 10 (2), 342-356, 2016 | 117 | 2016 |
| Feature grouping and selection over an undirected graph S Yang, L Yuan, YC Lai, X Shen, P Wonka, J Ye Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 114 | 2012 |
| On the linear speedup analysis of communication efficient momentum SGD for distributed non-convex optimization H Yu, R Jin, S Yang International Conference on Machine Learning, 7184-7193, 2019 | 92 | 2019 |
| Fused multiple graphical lasso S Yang, Z Lu, X Shen, P Wonka, J Ye SIAM Journal on Optimization 25 (2), 916–943, 2015 | 73 | 2015 |
| An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems S Yang, J Wang, W Fan, X Zhang, P Wonka, J Ye Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 42 | 2013 |
| Multifeature, sparse-based approach for defects detection and classification in semiconductor units BM Haddad, S Yang, LJ Karam, J Ye, NS Patel, MW Braun IEEE Transactions on Automation Science and Engineering 15 (1), 145-159, 2016 | 32 | 2016 |
| Structural Graphical Lasso for Learning Mouse Brain Connectivity S Yang, Q Sun, S Ji, P Wonka, I Davidson, J Ye Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 24 | 2015 |
| Learning with non-convex truncated losses by SGD Y Xu, S Zhu, S Yang, C Zhang, R Jin, T Yang Uncertainty in Artificial Intelligence, 701-711, 2020 | 15 | 2020 |
| A highly scalable parallel algorithm for isotropic total variation models J Wang, Q Li, S Yang, W Fan, P Wonka, J Ye International Conference on Machine Learning, 235-243, 2014 | 14 | 2014 |
| Multi-task vector field learning B Lin, S Yang, C Zhang, J Ye, X He Advances in neural information processing systems 2012, 296, 2012 | 10 | 2012 |
| Weighted linear methods for the camera pose estimation S Yang, FC Wu Ruanjian Xuebao/Journal of Software 22 (10), 2476-2487, 2011 | 6 | 2011 |
| Shrinking the upper confidence bound: A dynamic product selection problem for urban warehouses R Jin, D Simchi-Levi, L Wang, X Wang, S Yang Management Science, 2021 | 3 | 2021 |
| On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Optimization Y Xu, Z Yuan, S Yang, R Jin, T Yang IJCAI, 2019 | 3 | 2019 |
| Graph-Based Sparse Learning: Models, Algorithms, and Applications S Yang Arizona State University, 2014 | | 2014 |
Jieping Ye, IEEE Fellow & ACM Distin...University of Michigan & BeikeVerified email at umich.edu
