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Fanghua Ye 叶方华 [Google Scholar]


PhD Student, University College London

Email: smartyfh@outlook.com

Address: 90 High Holborn, London, WC1V 6LJ


Welcome! My name is Fanghua Ye. I am a fully-funded PhD student at UCL, working with Prof. Emine Yilmaz. Prior to that, I received my master's degree from Sun Yat-sen University and my bachelor's degree from University of Electronic Science and Technology of China (UESTC), where I studied in Yingcai Honors College of UESTC.

My current research interests include network science, algorithm design, machine learning, and data mining. I have a strong passion in developing machine learning algorithms for mining deep knowledge from graph/relational structured data.


What's New

  • [2020/03] One co-author paper is accepted by TOIS.
  • [2019/08] One paper is accepted by ICDM 2019.
  • [2019/02] I join the group of Prof. Xiaokui Xiao at National University of Singapore as a research assistant.
  • [2018/08] Two papers are accepted by CIKM 2018 and ICDM 2018 respectively.
  • [2018/07] I come to visit CUHK this summer.

    • Education

    Master of Science
    Computer Science and Technology
    Sun Yat-sen University
    2016 - 2019

    Bachelor of Science
    Computer Science and Technology
    University of Electronic Science and Technology of China
    2012 - 2016


    Experiences

    Research Assistant
    National University of Singapore
    February 2019 - May 2019

    Visiting Student
    The Chinese University of Hong Kong
    Summer, 2018

    Research Intern
    WeChat Group, Tencent Inc.
    April 2017 - March 2018

    Research Assistant
    National High Performance Computing Center
    Shenzhen University
    March 2016 - May 2016


    Selected Projects

    Discrete Overlapping Community Detection with Pseudo Supervision New
    Fanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, Jeffrey Xu Yu
    IEEE International Conference on Data Mining (ICDM)
    Beijing, China, November 2019

    Paper Code
    Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection
    Fanghua Ye, Chuan Chen, Zibin Zheng
    ACM International Conference on Information and Knowledge Management (CIKM)
    Turin, Italy, October 2018

    Paper Code
    Skyline Community Search in Multi-valued Networks
    Rong-Hua Li, Lu Qin, Fanghua Ye, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, Zibin Zheng
    ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD)
    Houston, TX, USA, June 2018
    Paper Code
    Multi-View Learning for Community Detection
    Research Intern
    WeChat Group, Tencent Inc.
    April 2017 - March 2018
    Finding Weighted K-Truss Communities in Large Networks
    Zibin Zheng, Fanghua Ye, Rong-Hua Li, Guohui Ling, Tan Jin
    Information Sciences 2017 (INS)


    Paper

    Selected Publications

  • Fanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, Jeffrey Xu Yu, "Discrete Overlapping Community Detection with Pseudo Supervision," IEEE International Conference on Data Mining (ICDM'19), 2019.
  • Fanghua Ye, Chuan Chen, Zhiyuan Wen, Zibin Zheng, Wuhui Chen, Yuren Zhou, "Homophily Preserving Community Detection," IEEE Transactions on Neural Networks and Learning Systems, 2019.
  • Fanghua Ye, Shenghui Li, Zhiwei Lin, Chuan Chen, Zibin Zheng, "Adaptive Affinity Learning for Accurate Community Detection," IEEE International Conference on Data Mining (ICDM'18), 2018 (short). [code]
  • Fanghua Ye, Chuan Chen, Zibin Zheng, "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection," ACM International Conference on Information and Knowledge Management (CIKM'18), 2018.
  • Rong-Hua Li, Lu Qin, Fanghua Ye, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, Zibin Zheng, "Skyline Community Search in Multi-Valued Networks," ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD'18), 2018.
  • Zibin Zheng, Fanghua Ye, Rong-Hua Li, Guohui Ling, Tan Jin, "Finding Weighted K-Truss Communities in Large Networks," Information Sciences, 417 (2017): 344-360.

    • Invited Journal Reviewer

  • World Wide Web Journal
  • Social Network Analysis and Mining
  • IEEE Access

    • Selected Awards

  • 2019, awarded UCL Research Studentship
  • 2018, awarded National Scholarship, Ministry of Education
  • 2018, awarded ICDM 2018 Student Travel Award
  • 2018, awarded SIGIR Student Travel Grant for CIKM 2018
  • 2018, awarded First Class Postgraduate Scholarship
  • 2017, awarded National Scholarship, Ministry of Education
  • 2017, awarded First Class Postgraduate Scholarship
  • 2016, awarded First Class Postgraduate Scholarship

    • Teaching Experience

  • Teaching Assistant, Data Mining, Spring 2017, Sun Yat-sen University