Miao Xu, Postdoc Researcher at RIKEN AIP


Miao Xu

Postdoc Researcher
Imperfect Information Learning Team
RIKEN Center for Advanced Intelligence Project

E-mail: miao.xu [at] riken.jp, xum [at] lamda.nju.edu.cn
[Google Scholar]


Short Biography

    I am a postdoc researcher at RIKEN AIP, supervised by Prof. Masashi Sugiyama. I received my B.Sc. and Ph.D. degrees in computer science from Nanjing University in 2009 and 2015, respectively, under the supervision of Prof. Zhi-Hua Zhou. I was a member of the LAMDA Group, and was a visiting scholar at Michigan State University, supervised by Prof. Rong Jin.


Research

    My research interests include machine learning and its real-world application. Now I am working on weakly supervised learning.


Teaching Experience

  • Teaching Assistant for Algorithms Design and Analysis, Fall 2014

  • Teaching Assistant for Randomized Algorithms, Fall 2011


Awards

  • CCF Outstanding Doctoral Dissertation Award Nomination, 2018

  • IBM Ph.D. Fellowship, 2015

  • Tung OOCL Scholarship, 2015

  • NJU Presidential Fellowship, 2014

  • Excellent Graduate Student, 2013


Professional Presentations

  • Revisiting sample selection approach to PU learning, Jun. 2019, Pervasive AI Research Labs (PAIR) --AIP Workshop, Taipei City

  • Matric co-completion for multi-label classification, Sep. 2018, The 21st Information-Based Induction Sciences Workshop, Sapporo, Japan

  • Active feature acquisition with supervised matrix completion, Sep. 2018, Singapore University of Technology and Design, Singapore

  • Active feature acquisition with supervised matrix completion, Sep. 2018, Agency for Science, Technology and Research (A*STAR), Singapore

  • Active feature acquisition with supervised matrix completion, Sep. 2018, The NUS SoC - RIKEN AIP workshop on Artificial Intelligence, Singapore

  • Matric co-completion for multi-label classification, Sep. 2018, Nanjing University, Nanjing, China

  • Matric co-completion for multi-label classification, Sep. 2018, Nanjing University of Science and Technology, Nanjing, China

  • Matric co-completion for multi-label classification, Sep. 2018, Nanjing University of Aeronautics and Astronautics, Nanjing, China

  • Matric co-completion for multi-label classification, Sep. 2018, Southeast University, Nanjing, China

  • Active feature acquisition with supervised matrix completion, Aug. 2018, The International Workshop on Active Learning at PRICAI 2018 Invited Talk, Nanjing, China

  • Matric co-completion for multi-label classification, July 2018, The Second International Workshop on Symbolic-Neural Learning, Nagoya, Japan

  • Weakly supervised multi-label learning, June 2017, Didi-IEEE Elite Forum, Beijing, China

  • Research on multi-label learning, Sep. 2014, Microsoft Research Asia Ph.D. Forum, Beijing, China


Professional Activities

  • Journal Reviewer

    • IEEE Transactions on Pattern Analysis and Machine Intelligence

    • IEEE Transactions on Neural Networks and Learning Systems

    • IEEE Transactions on Knowledge and Data Engineering

    • Machine Learning Journal

    • ACM Transactions on Knowledge Discovery from Data

  • Conference Program Committee Member

    • NIPS (reviewer) 2019, 2018, 2017, 2016, 2015, 2014

    • ICML 2019, 2018

    • AISTATS 2019, 2018

    • IJCAI 2019, 2018, 2017, 2015

    • AAAI 2019, 2018

    • ACML 2019, 2018, 2017