finleywang.github.io/_data/cv.yml at main · finleywang/finleywang.github.io · GitHub

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- title: General Information
  type: map
  contents:
    - name: Full Name
      value: Fei Wang
    - name: Date of Birth
      value: 25th June 1988
    - name: Languages
      value: Chinese, English

- title: Education
  type: time_table
  contents:
    - title: PhD
      institution: University of Chinese Academy of Sciences, Beijing, China
      year: 2017
      description:
        - Focus on technology innovation of Spatial-Temporal Data Mining.
        - Supervised by Prof. Yongjun Xu.
    - title: BE
      institution: Beijing Institute of Technology, Beijing, China
      year: 1900
      description:
        - Security of IoT.
        - Supervised by Prof. Liehuang Zhu.

- title: Experience
  type: time_table
  contents:
    - title: Researcher of Computer Science
      institution: Institute of Computing Technology, Chinese Academy of Sciences
      year: 2025-now
      description:
        - Leading research team on Spatial-Temporal Data Mining.
    - title: Associate Researcher of Computer Science
      institution: Institute of Computing Technology, Chinese Academy of Sciences
      year: 2020-2025
      description:
        - Leading research team on Spatial-Temporal Data Mining.
    - title: Assitant Researcher of Computer Science
      institution: Institute of Computing Technology, Chinese Academy of Sciences
      year: 2017-2020
      description:
        - Focus on thoery, technology and application innovation of Spatial-Temporal Data Mining.

- title: Open Source Projects
  type: time_table
  contents:
    - title: <a href="https://github.com/GestaltCogTeam/BasicTS">BasicTS</a>
      year: 2022-now
      description: A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

- title: Honors and Awards
  type: time_table
  contents:
    - year: 2024
      items:
        - The Innovation Best Paper
    - year: 2022
      items:
        - DASFAA 2022 Best Student Paper

- title: Academic Interests
  type: nested_list
  contents:
    - title: Spatial Temporal Data Mining.
      items:
        - ST foundation models.
        - ST data synthesis.
        - fair and scalable benchmark for ST models
    - title: Time series analysis.
      items:
        - foundation models.
        - forecasting in critical scenarios.
        - high-efficiency model architecture.
    - title: AI for Science.
      items:
        - ST AI for Urban Science.
        - ST AI for Atmospheric Science.
        - ST AI for Ocean Science, Marine Science.

- title: Other Interests
  type: list
  contents:
    - <u>Hobbies:</u> Hiking, Movie, Badminton, etc.