| Combining link and content for community detection: a discriminative approach T Yang, R Jin, Y Chi, S Zhu Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 317 | 2009 |
| Detecting communities and their evolutions in dynamic social networks—a Bayesian approach T Yang, Y Chi, S Zhu, Y Gong, R Jin Machine learning 82 (2), 157-189, 2011 | 247 | 2011 |
| Nyström method vs random fourier features: A theoretical and empirical comparison T Yang, YF Li, M Mahdavi, R Jin, ZH Zhou Advances in neural information processing systems, 476-484, 2012 | 229 | 2012 |
| Online AUC maximization P Zhao, SCH Hoi, R Jin, T YANG International Machine Learning Society, 2011 | 145 | 2011 |
| Hyper-class augmented and regularized deep learning for fine-grained image classification S Xie, T Yang, X Wang, Y Lin Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 123 | 2015 |
| Trading computation for communication: Distributed stochastic dual coordinate ascent T Yang Advances in Neural Information Processing Systems, 629-637, 2013 | 119 | 2013 |
| Online optimization with gradual variations CK Chiang, T Yang, CJ Lee, M Mahdavi, CJ Lu, R Jin, S Zhu Conference on Learning Theory, 6.1-6.20, 2012 | 104 | 2012 |
| Online multiple kernel classification SCH Hoi, R Jin, P Zhao, T Yang Machine Learning 90 (2), 289-316, 2013 | 101 | 2013 |
| Trading regret for efficiency: online convex optimization with long term constraints M Mahdavi, R Jin, T Yang Journal of Machine Learning Research 13 (Sep), 2503-2528, 2012 | 91 | 2012 |
| Learning attributes equals multi-source domain generalization C Gan, T Yang, B Gong Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 84 | 2016 |
| Semi-crowdsourced clustering: Generalizing crowd labeling by robust distance metric learning J Yi, R Jin, S Jain, T Yang, AK Jain Advances in neural information processing systems, 1772-1780, 2012 | 80 | 2012 |
| A bayesian approach toward finding communities and their evolutions in dynamic social networks T Yang, Y Chi, S Zhu, Y Gong, R Jin Proceedings of the 2009 SIAM International Conference on Data Mining, 990-1001, 2009 | 65 | 2009 |
| Recovering the optimal solution by dual random projection L Zhang, M Mahdavi, R Jin, T Yang, S Zhu Conference on Learning Theory, 135-157, 2013 | 62 | 2013 |
| Online multiple kernel learning: Algorithms and mistake bounds R Jin, SCH Hoi, T Yang International conference on algorithmic learning theory, 390-404, 2010 | 61 | 2010 |
| Robust Ensemble Clustering by Matrix Completion J Yi, T Yang, R Jin, AK Jain, M Mahdavi Data Mining (ICDM), 2012 IEEE 12th International Conference on, 1176-1181, 2012 | 59 | 2012 |
| First-order stochastic algorithms for escaping from saddle points in almost linear time Y Xu, R Jin, T Yang Advances in Neural Information Processing Systems, 5530-5540, 2018 | 53 | 2018 |
| Distributed stochastic variance reduced gradient methods and a lower bound for communication complexity JD Lee, Q Lin, T Ma, T Yang arXiv preprint arXiv:1507.07595, 2015 | 49 | 2015 |
| Rsg: Beating subgradient method without smoothness and strong convexity T Yang, Q Lin The Journal of Machine Learning Research 19 (1), 236-268, 2018 | 42 | 2018 |
| Hetero-convlstm: A deep learning approach to traffic accident prediction on heterogeneous spatio-temporal data Z Yuan, X Zhou, T Yang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 39 | 2018 |
| Tracking slowly moving clairvoyant: Optimal dynamic regret of online learning with true and noisy gradient J Yi | 39 | 2016 |
Rong JinAlibaba GroupVerified email at cse.msu.edu
