Xi-Zhu Wu @ LAMDA

Modified: 2014/08/25 22:19 by admin - Uncategorized
Image Chinese name
Xi-Zhu Wu (X.-Z. Wu)

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

email: wuxz # lamda.nju.edu.cn (gmail account "wuxz.gm")

Currently I am a third 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.



Professor Zhi-Hua Zhou.


I was admitted to study in Elite Project in September 2010 and received my B.Sc. degree in Computer Science in Kuangyaming Honor School of Nanjing University in June 2014. In the same year, I was admitted to study for a M.Sc. degree in Nanjing University without entrance examination. I am a PhD candidate since 2016. Visited Song Liu in University of Bristol (Feb-May) in 2019.

Research Interest

I am interested in machine learning. Currently I am focusing on the subfields:
  • Model Reuse : Towards helping target task by reusing source models without source data. It is a topic in learnware.
  • Multi-Label Learning : Learning from objects with multiple labels.


  • Xi-Zhu Wu, Song Liu and Zhi-Hua Zhou. Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin. In: Proceedings of the 36th International Conference on Machine Learning (ICML'19), Long Beach, CA, 2019.[PDF][Supplementary PDF][Slides][Poster][Code]
  • Xi-Zhu Wu and Zhi-Hua Zhou. A Unified View of Multi-Label Performance Measures. In: Proceedings of the 34th International Conference on Machine Learning (ICML'17), Sydney, Australia, 2017. [PDF] [Supplementary PDF][Slides][Poster][Code]
  • 吴西竹, 周志华. 领域知识指导的模型重用. 中国科学: 信息科学, 2017. [PDF]
    (It is a paper in Chinese, and the conference version is honored to receive the CCML best paper award. English info:
    Xi-Zhu Wu and Zhi-Hua Zhou, Model Reuse with Domain Knowledge. SCIENTIA SINICA Informationis, 2017)

Awards & Honors

  • First-Class Graduate Student Scholarship. 2018
  • Huawei Scholarship. 2017
  • First-Class Graduate Student Scholarship. 2017
  • ICML Student Travel Award. 2017
  • CCML Best Paper Award. 2017
  • The Second Prize in CCF Big Data Competition. 2014
  • Microsoft Youngfellow Scholarship. 2013
  • Excellent Project Completion in the Undergraduate Innovation Program. 2013
  • Elite Project Scholarship. 2013
  • Elite Project Scholarship. 2012


  • Journal Reviewer: TPAMI, TKDE, MLJ
  • Conference Reviewer: NeurIPS-2019, ICML-2019, ACML-2019, AAAI-2019, NIPS-2018 (rated top 30% reviewer), ACML-2018, PRICAI-2018, CCML-2017.

Teaching Assistant

  • Introduction to Machine Learning. Spring, 2017
  • Discrete Mathematics. Spring, 2017

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: 2019-05-29