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  • B.S. in Applied Physics, Beijing University of Posts and Telecommunications, 2017-2021
  • M.S. in System Science, Beijing Normal University, 2021-2024

Research Experience

  • Feb. 2022 - May. 2023: Machine Learning Research Intern, LinkedIn Beijing, China.
    • Professional Network Matters: Connections Empower Person-Job Fit
      • Perform data collection, data cleaning, and data analysis with Spark and SQL on LinkedIn’s internal database.
      • Literature review on Person-Job Fit and Heterogeneous Graph Neural Networks.
      • Design and implement a heterogeneous graph neural network model for Person-Job Fit.
      • The corresponding paper has been accepted by WSDM 2024.
    • A Hierarchical Framework with Multitask Co-Pretraining on Semi-Structured Data towards Effective Person-Job Fit
      • Participated in Experiment Design and Implementation.
      • The corresponding paper has been accepted by ICASSP 2024.
    • Skill dependency graph in LinkedIn scenario.
      • Build a Skill dependency graph with the common sense of LLM.
  • June 2023 - Present: Research Intern, Microsoft Research Asia, Beijing, China.
    • Question Answer on Heterogeneous Information Network
      • Build a semantic parsing dataset to evaluate LLM’s ability to run graph algorithm.
      • Plan to submit to NAACL 2024.


Open Source Projects

  • Creater and Matainer of DescKGC
    • A python package for knowledge graph completion which highlight the importance of descriptions of entities.
  • Made small contributions to open source projects, like Langchain, SuperAGI.


  • First-Class Scholarship, Beijing Normal University, 2022-2023
  • First-Class Scholarship, Beijing Normal University, 2021-2022


  • Programming Languages: Python, SQL, Spark, Cypher, MATLAB, LaTeX
  • Machine Learning Frameworks: PyTorch, PyTorch Geometric, TensorFlow, HuggingFace Transformers