| Facetnet: a framework for analyzing communities and their evolutions in dynamic networks YR Lin, Y Chi, S Zhu, H Sundaram, BL Tseng Proceedings of the 17th international conference on World Wide Web, 685-694, 2008 | 570 | 2008 |
| 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 | 553* | 2019 |
| Large-scale image classification: Fast feature extraction and SVM training Y Lin, F Lv, S Zhu, M Yang, T Cour, K Yu, L Cao, T Huang CVPR 2011, 1689-1696, 2011 | 552 | 2011 |
| Regionlets for generic object detection X Wang, M Yang, S Zhu, Y Lin Proceedings of the IEEE international conference on computer vision, 17-24, 2013 | 536 | 2013 |
| Community discovery using nonnegative matrix factorization F Wang, T Li, X Wang, S Zhu, C Ding Data Mining and Knowledge Discovery 22, 493-521, 2011 | 471 | 2011 |
| 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 | 440 | 2009 |
| Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization D Wang, T Li, S Zhu, C Ding Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 390 | 2008 |
| 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, 157-189, 2011 | 380 | 2011 |
| Using discriminant analysis for multi-class classification: an experimental investigation T Li, S Zhu, M Ogihara Knowledge and information systems 10, 453-472, 2006 | 363 | 2006 |
| Analyzing communities and their evolutions in dynamic social networks YR Lin, Y Chi, S Zhu, H Sundaram, BL Tseng ACM Transactions on Knowledge Discovery from Data (TKDD) 3 (2), 1-31, 2009 | 361 | 2009 |
| A survey on wavelet applications in data mining T Li, Q Li, S Zhu, M Ogihara ACM SIGKDD Explorations Newsletter 4 (2), 49-68, 2002 | 355 | 2002 |
| Combining content and link for classification using matrix factorization S Zhu, K Yu, Y Chi, Y Gong Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 337 | 2007 |
| Extremely low bit neural network: Squeeze the last bit out with admm C Leng, Z Dou, H Li, S Zhu, R Jin Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 336 | 2018 |
| Multi-labelled classification using maximum entropy method S Zhu, X Ji, W Xu, Y Gong Proceedings of the 28th annual international ACM SIGIR conference on …, 2005 | 296 | 2005 |
| Efficient object detection and segmentation for fine-grained recognition A Angelova, S Zhu Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 276 | 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 | 237 | 2012 |
| Contextual weighting for vocabulary tree based image retrieval X Wang, M Yang, T Cour, S Zhu, K Yu, TX Han 2011 International Conference on Computer Vision, 209-216, 2011 | 236 | 2011 |
| Multi-document summarization using sentence-based topic models D Wang, S Zhu, T Li, Y Gong Proceedings of the ACL-IJCNLP 2009 conference short papers, 297-300, 2009 | 230 | 2009 |
| Fast nonparametric matrix factorization for large-scale collaborative filtering K Yu, S Zhu, J Lafferty, Y Gong Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009 | 230 | 2009 |
| Predicting query execution time: Are optimizer cost models really unusable? W Wu, Y Chi, S Zhu, J Tatemura, H Hacigümüs, JF Naughton 2013 IEEE 29th International Conference on Data Engineering (ICDE), 1081-1092, 2013 | 224 | 2013 |
Yun ChiRobinhoodVerified email at robinhood.com
