Multiple Incomplete Views Clustering via Weighted Nonnegative Matrix Factorization with W Shao, L He, SY Philip
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
91 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
89 2017 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
45 2017 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
38 2013 Online Unsupervised Multi-view Feature Selection W Shao, L He, CT Lu, X Wei, PS Yu
arXiv preprint arXiv:1609.08286, 2016
37 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
37 2016 Online multi-view clustering with incomplete views W Shao, L He, CT Lu, SY Philip
2016 IEEE International Conference on Big Data (Big Data), 1012-1017, 2016
27 2016 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
26 2015 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
23 2017 Clustering on multi-source incomplete data via tensor modeling and factorization W Shao, L He, SY Philip
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 485-497, 2015
21 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
17 2016 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
14 2016 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
13 2016 Item Recommendation for Emerging Online Businesses CT Lu, S Xie, W Shao, L He, PS Yu
IJCAI, 2016
11 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
9 2015 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
9 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
6 2015 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
4 2018 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
4 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 ChicagoGeverifieerd e-mailadres voor cs.uic.edu
