| Gradient sparsification for communication-efficient distributed optimization J Wangni, J Wang, J Liu, T Zhang Advances in Neural Information Processing Systems 31, 2018 | 566 | 2018 |
| Online feature selection and its applications J Wang, P Zhao, SCH Hoi, R Jin IEEE Transactions on knowledge and data engineering 26 (3), 698-710, 2013 | 333 | 2013 |
| LIBOL: a library for online learning algorithms SCH Hoi, J Wang, P Zhao Journal of Machine Learning Research (JMLR), 2014 | 286 | 2014 |
| Exact soft confidence-weighted learning J Wang, P Zhao, SCH Hoi International Conference on Machine Learning (ICML), 2012 | 248* | 2012 |
| Large scale online kernel learning J Lu, SCH Hoi, J Wang, P Zhao, ZY Liu Journal of Machine Learning Research 17 (47), 1, 2016 | 184 | 2016 |
| Online transfer learning P Zhao, SCH Hoi, J Wang, B Li Artificial intelligence 216, 76-102, 2014 | 171 | 2014 |
| Online feature selection for mining big data SCH Hoi, J Wang, P Zhao, R Jin Proceedings of the 1st international workshop on big data, streams and …, 2012 | 150 | 2012 |
| Efficient distributed learning with sparsity J Wang, M Kolar, N Srebro, T Zhang International conference on machine learning, 3636-3645, 2017 | 146 | 2017 |
| Cost-sensitive online classification J Wang, P Zhao, S Hoi IEEE Transactions on Knowledge and Data Engineering (TKDE), 2012 | 135 | 2012 |
| Graph oracle models, lower bounds, and gaps for parallel stochastic optimization BE Woodworth, J Wang, A Smith, B McMahan, N Srebro Advances in neural information processing systems 31, 2018 | 118 | 2018 |
| Fast bounded online gradient descent algorithms for scalable kernel-based online learning P Zhao, J Wang, P Wu, R Jin, SCH Hoi International Conference on Machine Learning (ICML), 2012 | 95 | 2012 |
| Distributed multi-task learning J Wang, M Kolar, N Srerbo Artificial intelligence and statistics, 751-760, 2016 | 75 | 2016 |
| Transaction cost optimization for online portfolio selection B Li, J Wang, D Huang, SCH Hoi Quantitative Finance 18 (8), 1411-1424, 2018 | 67 | 2018 |
| Unsupervised multiple kernel learning J Zhuang, J Wang, SCH Hoi, X Lan Asian Conference on Machine Learning (ACML), 2011 | 64 | 2011 |
| Memory and communication efficient distributed stochastic optimization with minibatch prox J Wang, W Wang, N Srebro Conference on Learning Theory, 1882-1919, 2017 | 58 | 2017 |
| Online multi-task collaborative filtering for on-the-fly recommender systems J Wang, SCH Hoi, P Zhao, ZY Liu ACM conference on Recommender systems (Recsys), 2013 | 56 | 2013 |
| Trading interpretability for accuracy: Oblique treed sparse additive models J Wang, R Fujimaki, Y Motohashi Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 49 | 2015 |
| Sketching meets random projection in the dual: A provable recovery algorithm for big and high-dimensional data J Wang, J Lee, M Mahdavi, M Kolar, N Srebro Artificial Intelligence and Statistics, 1150-1158, 2017 | 48 | 2017 |
| Second Order Online Collaborative Filtering J Lu, S Hoi, J Wang, P Zhao Asian Conference on Machine Learning (ACML), 2013 | 47 | 2013 |
| Exploiting strong convexity from data with primal-dual first-order algorithms J Wang, L Xiao International Conference on Machine Learning, 3694-3702, 2017 | 43 | 2017 |
Steven C.H. HoiManaging Director of Salesforce Research Asia; IEEE Fellow; Professor at SMU在 smu.edu.sg 的电子邮件经过验证
