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Yujiang Pu

Ph.D. Student
Department of Computer Science and Engineering,
Michigan State University

3345 Engineering Building, 428 S. Shaw Lane, East Lansing, MI 48824

 puyujian@msu.edu


About Me

I’m a 2nd year Ph.D. student in the Department of Computer Science and Engineering (CSE) at Michigan State University (MSU), advised by Prof. Yu Kong in the ACTION Lab. Previously, I received my Master’s degree (2020-2023) and Bachelor’s degree (2016-2020) from the School of Information and Communication Engineering, Communication University of China (CUC), under the guidance of Prof. Xiaoyu Wu at the State Key Laboratory of Media Convergence and Communication (MCC).

I am engaged in research in Computer Vision (CV) and Machine Learning (ML), particularly in the area of vision-language perception and generation. My early work involved video understanding tasks like action recognition, video anomaly detection, and temporal grounding. More recently, I have been focusing on the topic of generative models, e.g., image editing and video generation. I am interested in developing world models with interactive instructions, as well as improving generative models with human knowledge. I am open to any positive communication and collaboration. Please feel free to contact me if you’re interested !

News

[Aug. 2024]
🎉 One paper is accepted by IEEE T-IP (IF=10.8)!
[Jul. 2024]
🎉 One paper is accepted by ECCV 2024!
[Aug. 2023]
Begin my new journey at MSU, East Lansing, MI.

Selected Publications

    Preprints

  1. ArXiv
    Show Me: Generating Instructional Videos with Diffusion Models
    Yujiang Pu, Zhanbo Huang, Vishnu Boddeti, Yu Kong
    In Submission, 2025.
    Project
  2. ArXiv
    Procedural Mistake Detection via Action Effect Modeling
    Wenliang Guo, Yujiang Pu, Yu Kong
    In Submission, 2025.
    Project

    3. Conference Papers

  3. ECCV 2024
    SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding
    Zixu Cheng*, Yujiang Pu*, Shaogang Gong, Parisa Kordjamshidi, Yu Kong (* Equal Contribution)
    European Conference on Computer Vision(ECCV), Jul. 2024.
    PDF Code BibTeX
  4. ICME 2022
    Locality-Aware Attention Network with Discriminative Dynamics Learning for Weakly Supervised Anomaly Detection
    Yujiang Pu, Xiaoyu Wu
    IEEE International Conference on Multimedia and Expo(ICME), Jul. 2022.
    PDF Slides Talk BibTeX Oral Presentation
  5. ICCECE 2022
    Audio-Guided Attention Network for Weakly Supervised Violence Detection
    Yujiang Pu, Xiaoyu Wu
    International Conference on Consumer Electronics and Computer Engineering(ICCECE), Jan. 2022.
    PDF Code BibTeX

    6. Journal Articles

  6. IEEE TIP
    Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection
    Yujiang Pu, Xiaoyu Wu, Lulu Yang, Shengjin Wang
    IEEE Transactions on Image Processing (T-IP), Aug. 2024.
    PDF Code BibTeX
  7. Neurocomputing
    Semantic Multimodal Violence Detection based on Local-to-Global Embedding
    Yujiang Pu, Xiaoyu Wu, Shengjin Wang, Yuming Huang, Zihao Liu, Chaonan Gu
    Neurocomputing (NC), Dec. 2022.
    PDF BibTeX

Honors & Awards

Academic Services

Conference Reviewer

Journal Reviewer


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