👋 About Me

I am Baochen Fu, a PhD student jointly trained by the School of Software and the School of Mechanical Engineering at Shandong University, under the supervision of Professors Yi Wan and Weiye Song. My research focuses on Computer Vision and Large Multimodal Models, with particular attention to knowledge updating and domain adaptation in LMMs.

I am currently seeking internship and research collaboration opportunities. If you’re interested, feel free to contact me via email at fbc@mail.sdu.edu.cn.

🔥 News

  • 2025.12:  🎉🎉 One paper have been accepted by Neurocomputing!
  • 2025.09:  🎉🎉 One paper have been accepted by TCSVT!

📝 Publications

*: Co-First Author, Equal Contribution

Preprints 2 If you find our work interesting, please help us by 🤗 Upvoting and Starring!

Preprints 2 If you find our work interesting, please help us by 🤗 Upvoting and Starring!

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💡 Invention Patents

As these works are patented in China, all these names are directly translated from Chinese.

🏅 Honors and Awards

  • 2025.10 Academic Scholarship, Shandong University
  • 2024.10 Academic Scholarship, Shandong University
  • 2023.10 Kehui Scholarship, Shandong University
  • 2022.10 Academic Scholarship, Shandong University
  • 2021.05 Outstanding Graduate, Shandong Jianzhu University

💻 Internships

  • Algorithm Intern

    China Mobile Communications Group Co.,Ltd ( Beijing, China)

    • Affliation: Digital Intelligence Department
    • Advisor: Jian Sun

    2025.07 - 2025.09

    China Mobile

📖 Educations

  • Doctoral student (Ph.D)

    Shandong University (SDU)

    • School of Software
    • Major: Artificial Intelligence
    • Advisor: Yi Wan

    2024.09 - now

    SDU
  • Master

    Shandong University (SDU)

    • School of Control Science and Engineering
    • Major: Electronic Information
    • Advisor: Xu Qiao

    2021.09 - 2024.06

    SDU
  • Undergraduate

    Shandong Jianzhu University (SDJZU)

    • School of Information and Electrical Engineering
    • Major: Electrical Engineering and Automation
    • Advisor: Ming Wang

    2017.09 - 2021.06

    SDJZU