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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] A Novel Framework for [Masked CV Task] by combining [Masked Technique 1] and [Masked Technique 2].
International Conference on Computer Vision (ICCV), 2019. Masked due to the double-blind review policy. Submitted, under review.
[w19c] SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula
Colin Wan, Zheng Li, Yue Zhao. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2019, Würzburg, Germany. Submitted, under review.
I. Peer Reviewed Journal Papers
Yue Zhao, Zain Nasrullah, Zheng Li. Journal of Machine Learning Research (JMLR), 2019. Accepted with minor revisions, to appear.
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.