Yue Zhu （
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 | Yue Zhu
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Biography
I’m a 5th-year Ph.D. candidate of Department of Computer Science and Technology in Nanjing University and a member of LAMDA Group.
Before that, I received my B.Sc. degree in Computer Science and Technology in 2011, and got my M.Sc. degree in 2013 under the supervision of Prof. Zhi-Hua Zhou.
From March. 2015 to Sep. 2015, I was visiting James T. Kwok's group in The Hong Kong University of Science and Technology, Hong Kong.
Research Interests
My research interests include some sub-fields of Data Mining and Machine Learning:
Novel Class/Label Discovery and Modeling
Incremental Learning
Multi-* (Multi-View, Multi-Label, Multi-Instance, Multi-Instance Multi-Label) Learning
Density Estimation
Conference Paper
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K. M. Ting, Y. Zhu, and Z.-H. Zhou. Isolation Kernel and Its Effect on SVM. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18), London, UK, 2018, Accepted
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Y. Zhu, K. M. Ting, and Z.-H. Zhou. New class adaptation via instance generation in one-pass class incremental learning. In Proceedings of the 17th IEEE International Conference on Data Mining (ICDM'17), New Orleans, LA, 2017, pp.1207-1212
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Y. Zhu, K. M. Ting, and Z.-H. Zhou. Discover multiple novel labels in multi-instance multi-label learning. In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), San Francisco, CA, 2017, pp.2977-2983
Y. Zhu, K. M. Ting, and Z.-H. Zhou. Multi-label learning with emerging new labels. In Proceedings of the 16th IEEE International Conference on Data Mining (ICDM'16), Barcelona, Spain, 2016, pp.1371-1376.
K. M. Ting, Y. Zhu, M. Carman, Y. Zhu, and Z.-H. Zhou. Overcoming key weaknesses of distance-based neighbourhood methods using a data dependent dissimilarity measure. In Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'16), San Francisco, CA, 2016, pp.1205-1214.
Y. Zhu, W. Gao, and Z.-H. Zhou. One-pass multi-view learning. In Proceedings of the 7th Asian Conference on Machine Learning (ACML'15), Hong Kong, 2015, JMLR: W&CP 45, pp.407-422.
Y. Zhu, J. Wu, Y. Jiang, and Z.-H. Zhou. Learning with augmented multi-instance view. In: Proceedings of the 6th Asian Conference on Machine Learning (ACML'14), Nha Trang, Vietnam, 2014, JMLR: W&CP 39, pp.234-249.
Journal Article
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K. M. Ting, Y. Zhu, M. Carman, Y. Zhu, T. Washio, and Z.-H. Zhou. Lowest Probability Mass Neighbour Algorithms: Relaxing the metric constraint in distance-based neighbourhood algorithms. Machine Learning, in press.
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Y. Zhu, K. M. Ting, and Z.-H. Zhou. Multi-Label Learning with Emerging New Labels. IEEE Transactions on Knowledge and Data Engineering, in press.
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Y. Zhu, J. Kwok, and Z.-H. Zhou. Multi-Label Learning with Global and Local Correlation. IEEE Transactions on Knowledge and Data Engineering, in press.
Contests
Grand Prize of PAKDD 2012 (16th Pacific-Asia Conference on Knowledge Discovery and Data Mining) Data Mining Competition - Open Category, 2012.
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Winner (SME Segment) of PAKDD 2012 (16th Pacific-Asia Conference on Knowledge Discovery and Data Mining) Data Mining Competition - Open Category, 2012.
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[The theme of the competition centers on customer relationship management challenges faced by a large telco. The tasks for the competition focus on predicting customer churn and win-back.]
Teaching Assistant
- Data Mining (for B.Sc. students), Fall, 2012
Correspondence
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Yue Zhu
National Key Laboratory for Novel Software Technology
Nanjing University Xianlin Campus,
163 Xianlin Avenue, Qixia District, Nanjing 210023, China
Laboratory
912, Building of Computer Science and Technology, Xianlin Campus of Nanjing University
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