| Multiple incomplete views clustering via weighted nonnegative matrix factorization with regularization W Shao, L He, PS Yu Joint European conference on machine learning and knowledge discovery in …, 2015 | 316 | 2015 |
| Bimodal distribution and co-bursting in review spam detection H Li, G Fei, S Wang, B Liu, W Shao, A Mukherjee, J Shao Proceedings of the 26th international conference on world wide web, 1063-1072, 2017 | 192 | 2017 |
| Online multi-view clustering with incomplete views W Shao, L He, C Lu, SY Philip 2016 IEEE International conference on big data (Big Data), 1012-1017, 2016 | 136 | 2016 |
| Clustering on multiple incomplete datasets via collective kernel learning W Shao, X Shi, SY Philip 2013 IEEE 13th international conference on data mining, 1181-1186, 2013 | 90 | 2013 |
| Online Unsupervised Multi-view Feature Selection W Shao, L He, CT Lu, X Wei, PS Yu arXiv preprint arXiv:1609.08286, 2016 | 80 | 2016 |
| Online Unsupervised Multi-view Feature Selection W Shao, L He, CT Lu, X Wei, PS Yu Data Mining (ICDM), 2016 IEEE 16th International Conference on, 2016 | 80 | 2016 |
| Multilinear factorization machines for multi-task multi-view learning CT Lu, L He, W Shao, B Cao, PS Yu Proceedings of the tenth ACM international conference on web search and data …, 2017 | 66 | 2017 |
| Multi-view clustering with graph embedding for connectome analysis G Ma, L He, CT Lu, W Shao, PS Yu, AD Leow, AB Ragin Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 51 | 2017 |
| Clustering on multi-source incomplete data via tensor modeling and factorization W Shao, L He, PS Yu Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015 | 32 | 2015 |
| Pna: Partial network alignment with generic stable matching J Zhang, W Shao, S Wang, X Kong, SY Philip 2015 IEEE International Conference on Information Reuse and Integration, 166-173, 2015 | 29 | 2015 |
| Modeling review spam using temporal patterns and co-bursting behaviors H Li, G Fei, S Wang, B Liu, W Shao, A Mukherjee, J Shao arXiv preprint arXiv:1611.06625, 2016 | 22 | 2016 |
| Semi-supervised deep representation learning for multi-view problems V Noroozi, S Bahaadini, L Zheng, S Xie, W Shao, SY Philip 2018 IEEE international conference on big data (Big Data), 56-64, 2018 | 20 | 2018 |
| Community detection with partially observable links and node attributes X Wei, B Cao, W Shao, CT Lu, SY Philip 2016 IEEE International Conference on Big Data (Big Data), 773-782, 2016 | 18 | 2016 |
| Aggregator: a machine learning approach to identifying MEDLINE articles that derive from the same underlying clinical trial W Shao, CE Adams, AM Cohen, JM Davis, MS McDonagh, S Thakurta, ... Methods 74, 65-70, 2015 | 18 | 2015 |
| Multi-source multi-view clustering via discrepancy penalty W Shao, J Zhang, L He, SY Philip 2016 International Joint Conference on Neural Networks (IJCNN), 2714-2721, 2016 | 16 | 2016 |
| Item Recommendation for Emerging Online Businesses CT Lu, S Xie, W Shao, L He, PS Yu IJCAI, 2016 | 16 | 2016 |
| Nuggets: findings shared in multiple clinical case reports NR Smalheiser, W Shao, SY Philip Journal of the Medical Library Association: JMLA 103 (4), 171, 2015 | 12 | 2015 |
| Partial network alignment with anchor meta path and truncated generic stable matching J Zhang, W Shao, S Wang, X Kong, PS Yu arXiv preprint arXiv:1506.05164, 2015 | 7 | 2015 |
| Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction S Xie, Q Hu, W Shao, J Zhang, J Gao, W Fan, PS Yu SDM, 2016 | 3 | 2016 |
| Unsupervised Learning from Multi-view Data W Shao University of Illinois at Chicago, 2016 | | 2016 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
