Jingkun An | 安璟坤

I am a first-year Master's student at the School of Artificial Intelligence, Beihang University (BUAA) . Previously, I also received my Bachelor's degree from the same institution in 2024. During my two internships at Peking University, I was honored to be advised by Dr. Yemin Shi and Prof. Shanghang Zhang, respectively.

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News

  • [2024/12]🎉 AGFSync gets accepted to AAAI 2025! See you in Philadelphia!
  • [2024/12]🎉 Medical MLLM is Vulnerable gets accepted to AAAI 2025! See you in Philadelphia!
  • [2023/10]🎉 Led the team 'TrustMe' to win the Grand Prize (Top 1) in the 2023 'Challenge Cup' National Competition!
  • [2023/05]🎉 M3Fair Win the third prize (Top 5) in 2023 NIH Bias Detection!

  • Publications ( *, †, ‡ indicates the equal contributions, corresponding author, project leader, respectively.)

    Currently, my interest lies in Embodied Agents, which are at the intersection of Multimodal Large Language Models and Embodied AI, with particular interests in high-level planning and low-level control with spatio-temporal intelligence, working towards an generalist agent in a complex real-world environment. Representative works are highlighted.

    RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics
    Enshen Zhou *, Jingkun An *, Cheng Chi *, Yi Han, Shanyu Rong, Chi Zhang, Pengwei Wang, Zhongyuan Wang, Tiejun Huang, Lu Sheng, Shanghang Zhang
    Paper / Project / Code / Copy BibTeX Copy Success! TL;DR: From words to exactly where you mean using RoboRefer!
    Arxiv 2025
    AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation
    Jingkun An *, Yinghao Zhu *, Zongjian Li*, Enshen Zhou, Haoran Feng, Xijie Huang, Bohua Chen, Yemin Shi, Chengwei Pan
    Paper / Project / Code / Copy BibTeX Copy Success! TL;DR: Train T2I Diffusion model with AI-Generated Feedback for DPO!
    AAAI 2025
    Medical MLLM is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models
    Xijie Huang *, Xinyuan Wang *, Haotao Zhang *, Yinghao Zhu *, Jiawen Xi, Jingkun An, Hao Wang, Hao Liang, Chengwei Pan
    Paper / Project / Code / Copy BibTeX Copy Success! TL;DR: Medical MLLM is Vulnerable!
    AAAI 2025
    M3Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive Attribute Reweighting Method
    Yinghao Zhu *, Jingkun An *, Enshen Zhou, Hao Li, Haoran Feng, Paper / Project / Code / Copy BibTeX Copy Success! TL;DR: BeFair (A Bias Detection and Mitigation Tool)!
    2023 NIH Bias Detection Third Prize (Top 5)

    Experience
    School of Computer Science at Peking University
    2025.02 - present
    Research Intern
    Research Advisor: Dr. Cheng Chi, Prof. Shanghang Zhang
    School of Electronics Engineering and Computer Science at Peking University
    2023.12 - 2024.08
    Research Intern
    Research Advisor: Dr. Yemin Shi, Prof. Li Yuan

    Education

    Beihang University (BUAA)
    2024.09 - present
    Research Advisor: Prof. Chengwei Pan
    Beihang University (BUAA)
    2020.09 - 2024.06
    Bachelor of Software Engineering
    GPA ranking: 27/187
    Research Advisor: Prof. Chengwei Pan

    Selected Awards and Honors

  • 2024: Outstanding Graduate of Beihang University.
  • 2023: Grand Prize (Top 1) in "Challenge Cup" Competition of Science Achievement in China.

  • This homepage is designed based on Jon Barron's website and deployed on GitHub Pages.
    © 2025 Jingkun An