XIE Kun (解坤)

Department of Systems Engineering and Engineering Management,
The Chinese University of Hong Kong,
Shatin, N.T., Hong Kong
Email / Github / LinkedIn

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About me

I am currently a final year Ph.D. student at The Chinese University of Hong Kong (CUHK) under the supervision of Prof. WANG Sibo.

Before that, I received a B.E. degree in Software Engineering from South China University of Technology .

Research interests

  • Graph Representation Learning: node embedding and graph neural networks;

  • Social Network Analysis: rumor detection on social media.

  • AI for Science: the classification, retrieval, and design of biomolecules including antibodies and enzymes.

Publications & Preprints

  • IgSeek: Fast and Accurate Antibody Design via Structure Retrieval
    Xingyi Zhang*, Kun Xie*, Ningqiao Huang, Peilin Zhao, Wei Liu, Sibo Wang, Kangfei Zhao, Biaobin Jiang
    GEM workshop at ICLR 2025
    Paper
  • Towards More Accurate Full-Atom Antibody Co-Design
    Jiayang Wu*, Xingyi Zhang*, Xiangyu Dong, Kun Xie, Ziqi Liu, Wensheng Gan, Sibo Wang, Le Song
    GEM workshop at ICLR 2025
    Paper
  • Diffusion-based Graph-agnostic Clustering
    Kun Xie, Renchi Yang, Sibo Wang
    WWW 2025
    Paper
  • KPG: Key Propagation Graph Generator for Rumor Detection based on Reinforcement Learning
    Yusong Zhang*, Kun Xie*, Xingyi Zhang, Xiangyu Dong, Sibo Wang
    WWW 2025
    Paper
  • Learning-based Attribute-Augmented Proximity Matrix Factorization for Attributed Network Embedding
    Kun Xie*, Xiangyu Dong*, Xingyi Zhang, Qintian Guo, Sibo Wang
    TKDE 2024
    Paper
  • Learning Based Proximity Matrix Factorization for Node Embedding
    Xingyi Zhang, Kun Xie, Sibo Wang
    Paper / Code
    SIGKDD 2021

Academic Services

  • Reviewer of SIGKDD 2024, WWW 2025.

  • Subreviewer or External Reviewer of ICDE, WWW, SIGKDD, TKDE, CIKM, WSDM, IJCAI, etc.

Experience

Intern at Tencent Life Sciences Lab, from 2025.1-present, mentor: Biaobin Jiang

Intern at Tencent AI Lab, from 2024.8-2025.1

Intern at Tencent Quantum Laboratory, from 2019.10 to 2020.7

Teaching Assistant of

  • FTEC 4007 Intro. to Blockchain & Distributed Ledger Tech., in Spring 2024, Spring 2023 and Fall 2021
  • SEEM 5770/FTEC 5840 Open System for E-Commerce, in Fall 2023 and Fall 2022
  • CSCI 2100 Data Structure, in Spring 2022 and Spring 2021
  • FTEC 4001 Advanced Database Technologies, in Fall 2020