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Weixiang Shao
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2020 – today
- 2021
- [j1]Linfeng Xu, Gang Li, Peiheng Song, Weixiang Shao:
Vision-Based Intelligent Perceiving and Planning System of a 7-DoF Collaborative Robot. Comput. Intell. Neurosci. 2021: 5810371:1-5810371:25 (2021)
2010 – 2019
- 2018
- [c14]Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu:
Semi-supervised Deep Representation Learning for Multi-View Problems. IEEE BigData 2018: 56-64 - [i7]Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu:
Semi-supervised Deep Representation Learning for Multi-View Problems. CoRR abs/1811.04480 (2018) - 2017
- [c13]Guixiang Ma, Lifang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex D. Leow, Ann B. Ragin:
Multi-view Clustering with Graph Embedding for Connectome Analysis. CIKM 2017: 127-136 - [c12]Chun-Ta Lu, Lifang He, Weixiang Shao, Bokai Cao, Philip S. Yu:
Multilinear Factorization Machines for Multi-Task Multi-View Learning. WSDM 2017: 701-709 - [c11]Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao:
Bimodal Distribution and Co-Bursting in Review Spam Detection. WWW 2017: 1063-1072 - 2016
- [c10]Xiaokai Wei, Bokai Cao, Weixiang Shao, Chun-Ta Lu, Philip S. Yu:
Community detection with partially observable links and node attributes. IEEE BigData 2016: 773-782 - [c9]Weixiang Shao, Lifang He, Chun-Ta Lu, Philip S. Yu:
Online multi-view clustering with incomplete views. IEEE BigData 2016: 1012-1017 - [c8]Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu:
Online Unsupervised Multi-view Feature Selection. ICDM 2016: 1203-1208 - [c7]Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, Philip S. Yu:
Item Recommendation for Emerging Online Businesses. IJCAI 2016: 3797-3803 - [c6]Weixiang Shao, Jiawei Zhang, Lifang He, Philip S. Yu:
Multi-source Multi-view Clustering via discrepancy penalty. IJCNN 2016: 2714-2721 - [c5]Sihong Xie, Qingbo Hu, Weixiang Shao, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu:
Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction. SDM 2016: 648-656 - [i6]Weixiang Shao, Jiawei Zhang, Lifang He, Philip S. Yu:
Multi-Source Multi-View Clustering via Discrepancy Penalty. CoRR abs/1604.04029 (2016) - [i5]Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu:
Online Unsupervised Multi-view Feature Selection. CoRR abs/1609.08286 (2016) - [i4]Weixiang Shao, Lifang He, Chun-Ta Lu, Philip S. Yu:
Online Multi-view Clustering with Incomplete Views. CoRR abs/1611.00481 (2016) - [i3]Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao:
Modeling Review Spam Using Temporal Patterns and Co-bursting Behaviors. CoRR abs/1611.06625 (2016) - 2015
- [c4]Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu:
PNA: Partial Network Alignment with Generic Stable Matching. IRI 2015: 166-173 - [c3]Weixiang Shao, Lifang He, Philip S. Yu:
Clustering on Multi-source Incomplete Data via Tensor Modeling and Factorization. PAKDD (2) 2015: 485-497 - [c2]Weixiang Shao, Lifang He, Philip S. Yu:
Multiple Incomplete Views Clustering via Weighted Nonnegative Matrix Factorization with L2, 1 Regularization. ECML/PKDD (1) 2015: 318-334 - [i2]Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu:
Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching. CoRR abs/1506.05164 (2015) - 2013
- [c1]Weixiang Shao, Xiaoxiao Shi, Philip S. Yu:
Clustering on Multiple Incomplete Datasets via Collective Kernel Learning. ICDM 2013: 1181-1186 - [i1]Weixiang Shao, Xiaoxiao Shi, Philip S. Yu:
Clustering on Multiple Incomplete Datasets via Collective Kernel Learning. CoRR abs/1310.1177 (2013)
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