HOME

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 is focused on conversational AI. I also have a strong passion in graph learning.


What's New

  • [2020/08] One co-author paper is accepted to TKDD.
  • [2020/04] One co-author paper is accepted to VLDB Journal.
  • [2020/03] One co-author paper is accepted to TOIS.
  • [2019/08] One paper is accepted to 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 to CIKM 2018 and ICDM 2018 respectively.
  • [2018/07] I come to visit CUHK this summer.

    • Education

    PhD
    Computer Science
    University College London
    2019 - Now

    Master of Science
    Computer Science
    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 Code

    Publications

  • Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin, "Multi-Stage Network Embedding for Exploring Heterogeneous Edges," ACM Transactions on Knowledge Discovery from Data (TKDD), 2020.
  • Rong-Hua Li, Lu Qin, Fanghua Ye, Guoren Wang, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, Zibin Zheng, "Finding Skyline Communities in Multi-Valued Networks," VLDB Journal, 2020.
  • Jie Huang, Chuan Chen, Fanghua Ye, Weibo Hu, Zibin Zheng, "Nonuniform Hyper-Network Embedding with Dual Mechanism," ACM Transactions on Information Systems (TOIS), 2020.
  • Lu Wang, Yu Song, Hong Huang, Fanghua Ye, Xuanhua Shi, Hai Jin, "Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder," International Conference on Database Systems for Advanced Applications (DASFAA), 2020.
  • 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. [code]
  • Fanghua Ye, Chuan Chen, Zhiyuan Wen, Zibin Zheng, Wuhui Chen, Yuren Zhou, "Homophily Preserving Community Detection," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019. [code]
  • Pairui Li, Chuan Chen, Wujie Zheng, Yuetang Deng, Fanghua Ye, Zibin Zheng, "STD: An Automatic Evaluation Metric for Machine Translation Based on Word Embeddings," IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 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. [code]
  • Fanghua Ye, Jiahao Liu, Chuan Chen, Guohui Ling, Zibin Zheng, Yuren Zhou, "Identifying Influential Individuals on Large-Scale Social Networks: A Community Based Approach," IEEE Access, 2018. [code]
  • 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. [code]
  • 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. [code]

    • Academic Services

  • IEEE Transactions on Cybernetics
  • World Wide Web Journal
  • Social Network Analysis and Mining
  • IEEE Access
  • Engineering Reports
  • Sub-reviewer for: CIKM 2020, KDD 2020, CIKM 2018, IJCAI 2018, ICSOC 2017

    • Selected Awards

  • 2019-2023, 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