cv

Comprehensive academic curriculum vitae including education, research experience, publications, and professional activities.

General Information

Full Name Ziyun Li
Email ziyli@kth.se, liziyun2014@gmail.com
Location Stockholm, Sweden

Education

  • 2019 - 2024
    PhD in AI/ML
    Hasso Plattner Institute, Potsdam, Germany
    • Research focus on Generative AI, Flow Matching, and Diffusion Models
    • Supervised by Prof. Christoph Meinel
  • 2017 - 2018
    Master in Computer Science
    City University of Hong Kong, Hong Kong SAR, China
    • Specialized in Machine Learning and Computer Vision
  • 2013 - 2017
    Bachelor in Communication Engineering
    Hangzhou Dianzi University, Hangzhou, China
    • Foundation in signal processing and communications

Experience

  • 2025 - Present
    Postdoc Researcher in Generative AI
    KTH Royal Institute of Technology, Stockholm, Sweden
    • Funded by Wallenberg AI, Autonomous Systems and Software Program (WASP)
    • Research on unified diffusion-autoregressive models for cross-domain generation
  • 2023 - 2024
    VC Fellow
    MiraclePlus, Beijing, China
    • Deal sourcing with 20% conversion rate
  • 2023 - 2024
    Visiting Researcher
    Chinese University of Hong Kong, Hong Kong
    • Research on explainable AI methods
  • 2018 - 2019
    Algorithmic Researcher, Project Leader
    LinkDoc, Beijing, China
    • Developed AI models for hip joint diagnosis with Peking University Third Hospital

Research Funding

  • 2025 - Present
    • Wallenberg AI, Autonomous Systems and Software Program (WASP) - Sweden's largest AI research initiative (6.2 billion SEK)
  • 2023
    • KI-Leuchttürme Project for Environment, Climate, Nature and Resources (€1.94 million)
    • Collaboration with Technical University of Munich (TUM) and GeoForschungsZentrum (GFZ)
  • 2025 - 2028
    • National Natural Science Foundation of China (NSFC) on degraded image perception (CNY 550,000)

Teaching Experience

  • 2023 - 2024
    Master Thesis Supervision
    Hasso Plattner Institut
    • Supervised master's theses on long-tail learning and category discovery
  • 2024 - Present
    External Research Mentor
    Xidian University (Remote)
    • Guided research projects, resulting in publications at ICME and AAAI

Recent Invited Talks

  • July 2024
    Session Chair
    International Joint Conference on Neural Networks (IJCNN 2024)
    • Yokohama, Japan
  • October 2023
    ICCV Workshop Organizer
    ICCV Workshop on Out-of-Distribution Generalization
    • Paris, France
  • August 2023
    Invited Speaker
    International Chinese Statistical Association (ICSA 2023)
    • Hong Kong, China

Reviewer Service

  • Journals & Conferences: IJCV, TMLR, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, IJCAI, WACV, BMVC, ECAI