Zhen-Chuan Huang @ LAMDA

Modified: 2014/08/25 22:19 by admin - Uncategorized
ImageChinese name
Zhen-Chuan Huang

M.Sc. Student, LAMDA Group
Department of Computer Science and Technology
State Key Laboratory for Novel Software Technology
Nanjing University, Nanjing 210023, China

Room 913, Building of Computer Science and Technology,
Xianlin Campus of Nanjing University
Email:,


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Currently I am a third year graduate student of Department of Computer Science and Technology in Nanjing University and a member of LAMDA Group(LAMDA Publications), led by professor Zhi-Hua Zhou.



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Supervisor

Associate professor De-Chuan Zhan.

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Biography

I received my B.Sc. degree in Computer Science and Technology in June 2014 from Nanjing University. In the same year, I was admitted to study for a M.Sc. degree in Nanjing University without entrance examination.

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Research Interest

My research interests include some sub-fields of machine learning and data mining:
  • Online Learning,  Multi-Instance Learning,  Multi-Label Learning,  Distributed Machine Learning
Beyond research, I am also interested in:
  • GNU/Linux,  Distributed Systems,  C++/Java/Python Programming

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Publications

  • Han-Jia Ye, De-Chuan Zhan, Xiaolin Li, Zhen-Chuan Huang and Yuan Jiang. College Student Scholarships and Subsidies Granting: A Multi-Modal Multi-Label Approach. In: Proceedings of the IEEE International Conference on Data Mining (IEEE ICDM'16), Barcelona, Spain, 2016, in press.

  • Zhen-Chuan Huang, De-Chuan Zhan. Positive Instance Detection based Multi-Instance Learning via Linearly Localized Interpolation. In Proceedings of the 2016 International Conference on Intelligence Science and Big Data Engineering (ISCIDE'16), Guangzhou, China, 2016.


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Awards & Honors

  • Excellent Graduate of Nanjing University. Nanjing, June, 2014

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More About Me


Mail:
State Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(In Chinese:) 南京市栖霞区仙林大道163号,南京大学仙林校区603信箱,软件新技术国家重点实验室,210023。

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