Xiaojun Shan

I am currently a Ph.D. student at UCSD, where I am fortunate to be advised by Prof. Zhuowen Tu and Prof. Zhijian Liu.

My research interests lie in machine learning in general, with special interests in controllable generation and efficient vision language models.

I am open to exploring extensive topics and collaborating with others. Feel free to drop me a mail!

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Selected Publications (* indicates equal contribution)
MINT: Multimodal Instruction Tuning with Multimodal Interaction Grouping
Xiaojun Shan, Qi Cao, Xing Han, Haofei Yu, Paul Pu Liang
Under Review
[Paper]

DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes
Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang, Deqing Sun , Ming-Hsuan Yang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[Paper]

Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork
Qiang Gao*, Xiaojun Shan*, Yucheng Zhang, Fan Zhou
Advances in Neural Information Processing Systems (NeurIPS), 2023
[Paper]

Intern Experience

  • Jul 2024 -- May 2025, Massachusetts Institute of Technology, Boston, US
    Research Intern, supervised by Prof. Paul Liang.

  • Oct 2024 -- Mar 2025, University of California, San Diego, San Diego, US
    Research Intern, supervised by Prof. Nuno Vasconcelos.

  • Feb 2024 -- May 2024, Westlake University, Hangzhou, CN
    Research Intern, supervised by Dr. Jun Xia & Prof. Stan Ziqing Li.

  • Sep 2022 -- June 2024, Peking University, Peking, CN
    Research Intern, supervised by Dr. Xiaoyu Zhou & Prof. Yongtao Wang & Dr. Deqing Sun & Prof. Ming-Hsuan Yang

  • Jul 2022 -- May 2023, University of Electronic Science and Technology of China, Chengdu, CN
    Research Intern, supervised by Prof. Fan Zhou & Prof. Qiang Gao

Academic Services

  • Journal Reviewer: ACM TOIS

    Conference Reviewer: NeurIPS, CVPR, ICML, ICCV, ECCV, ICLR