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[w18a] DivBoost: Constructing Effective Outlier Ensembles by Base Learner Diversity Maximization
[w19a] HD-Cluster: Synthesized Cluster Analysis and Outlier Detection on High-dimensional Data
[w19b] [*Name masked due to double blind review policy]
International Conference on Computer Vision (ICCV), 2019. Submitted, under review.
[w19c] [A new statistical model. *Name masked due to double blind review policy]
AAAI Conference on Artificial Intelligence (AAAI), 2019. Submitted, under review.
II. Peer Reviewed Conference & Workshop Papers
Zain Nasrullah, Yue Zhao. IEEE International Joint Conference on Neural Networks (IJCNN), 2019, Budapest, Hungary. Accepted, to appear.
Yue Zhao, Zain Nasrullah, Maciej K. Hryniewicki, Zheng Li. SIAM International Conference on Data Mining (SDM), 2019, Calgary, Canada.
Yue Zhao, Maciej K. Hryniewicki. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Workshop on Outlier Detection De-constructed (ODD), 2018, London, UK.
Yue Zhao, Maciej K. Hryniewicki, IEEE International Joint Conference on Neural Networks (IJCNN), 2018, Rio de Janeiro, Brazil.
Yue Zhao, Maciej K. Hryniewicki, Francesca Cheng, Boyang Fu, Xiaoyu Zhu. Intelligent System Conference (Intellisys), IEEE, 2018, London, UK.
Yue Zhao*, Zhongtian Qiu*, Yiqing Yang*, Weiwei Li*, Mingming Fan
(*equal contribution), ACM International Symposium on Wearable Computers (ISWC), 2017, Maui, HI, USA.
III. Technical Reports
Yue Zhao*, Liu Yang*
(*equal contribution). University of Toronto, Toronto, Canada, Tech. Report. 2016.