{"type":"ScholarlyArticle","title":"Unsupervised Multi-view Learning","authors":[{"name":"Ling Huang","slug":"ling-huang","given":"Ling","family":"Huang","affiliation":"School of Data and Computer Science , Sun Yat-sen University , Guangzhou , China"}],"abstract":"Unsupervised multi-view learning is a hot research topic. The main challenge lies in how to integrate information from different views to enhance the unsupervised learning performance. In this paper, we present our research works on multi-view data clustering and multi-view network community detection respectively. The main contributions are summarized by emphasizing the challenges we have addressed. In addition, the ongoing work and the future work are briefly presented.","doi":"10.24963/ijcai.2019/910","url":"https://ijcai.org/proceedings/2019/910","pdf":"https://ijcai.org/proceedings/2019/0910.pdf","markdown":"https://ijcai.org/proceedings/2019/910.md","bibtex":"https://ijcai.org/proceedings/2019/bibtex/910","volume":{"slug":"2019","title":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2019","url":"https://ijcai.org/proceedings/2019/","year":2019,"location":"Macao","dates":"10-16 August 2019","editors":"Sarit Kraus","isbn":"978-0-9992411-4-1","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2019"},"section":"Doctoral Consortium","track":"Doctoral Consortium","number":910,"pages":{"first":6442,"last":6443},"keywords":["Machine Learning: Unsupervised Learning","Machine Learning: Multi-instance;Multi-label;Multi-view learning"],"videos":[],"references":[{"position":1,"raw":"[Benson et al., 2016] Austin R Benson, David F Gleich, and Jure Leskovec. 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