Bo-Jian Hou @ LAMDA

Modified: 2014/08/25 22:19 by admin - Uncategorized
ImageChinese name
Bo-Jian Hou (B.-J. Hou)

PhD Candidate
LAMDA Group
Department of Computer Science
National Key Laboratory for Novel Software Technology
Nanjing University

Email: houbj # lamda.nju.edu.cn (I would reply within 24 hours, if not, please contact me using Gmail account "houbj.hbj" or foxmail account "houbj.hbj")
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Currently I am a second year PhD 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

Professor Zhi-Hua Zhou.

Biography

I received my B.Sc. degree in Computer Science and Technology in June 2014 from Nanjing University. Since September 2014, I was admitted to study for a Ph.D. degree in Nanjing University without entrance examination.

Research Interest

I am interested in Machine Learning. Currently I am focusing on the subfields:
  • Semi-Supervised Learning : learning both from labeled and unlabeled data;
  • Feature Evolvable Learning : towards learning scenario where features would evolve;
  • Learnware : towards resuable, evolvable and comprehensible machine learning models.

Publication

  • Bo-Jian Hou, Lijun Zhang and Zhi-Hua Zhou. Learning with Feature Evolvable Streams. In: Advances in Neural Information Processing Systems 30 (NIPS'17), Long Beach, CA, 2017. [PDF] [Supplementary PDF][code]

  • Bo-Jian Hou, Lijun Zhang and Zhi-Hua Zhou. Storage fit learning with unlabeled data. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), Melbourne, Australia, 2017. [PDF] [code]


Awards & Honors

  • National Scholarship for Ph.D. 2017
  • IJCAI Travel Grant. 2017
  • Model Cadre of the Communist Youth League. 2017
  • Outstanding Undergraduate Student Award in Nanjing University. 2014
  • National Endeavor Scholarship. 2012

Teaching Assistant

  • Computational Thinking (for undergraduate students). Fall, 2016
  • Introduction to Java (for undergraduate students). Fall, 2014


Mail:
National 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。

Last modified: 2017-08-31