in NC, by Yating, 2023.

Shoubin Yu (喻守彬)

Hi, thanks for stopping by!

I am now a first-year second-year Ph.D. Student at The University of North Carolina, Chapel Hill, advised by Prof. Mohit Bansal. Previously, I did my undergraduate study at Shanghai Jiao Tong University.

I am interested in wide topics in computer vision, especially in video, including video+X (language, audio, robotics...), video understanding, generation, reasoning, representation learning... I'm also open to other interesting topics in natural language processing, psychology, and history. My current research goal is to build a system understand complex visual scenes and make optimal decisions effectively, efficiently, and interpretably.

Feel free to reach out for questions / discussion / brainstorming on interesting research topics or just for chatting 😬!

Email  /  Google Scholar  /  Twitter  /  Github  /  CV


  • Sep. 2023: ⛓️ We have one paper accepted to NeurIPS 2023. Check SeViLA for Video Loc+QA.
  • Jul. 2023: 🦴 We have one paper accepted to IEEE TCSVT. Check MoPRL for skeletal anomaly detection.
  • May. 2023: 🌞 I will intern at Amazon as Research Scientist Intern for Summer 2023.
  • Jun. 2022: 🎓 Graduate from Shanghai Jiao Tong University! (excellent graduates)
  • Apr. 2022: ⛪️ I will join UNC-CH MURGe-Lab in Fall 2022
  • Oct. 2021: 🌟 We have one paper accepted to NeurIPS 2021. Check STAR for situated reasoning.
  • Research

    Self-Chained Image-Language Model for Video Localization and Question Answering

    Shoubin Yu, Jaemin Cho, Prateek Yadav, Mohit Bansal
    NeurIPS, 2023

    [paper] [code] [demo]

    Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection

    Shoubin Yu, Zhongyin Zhao, Haoshu Fang, Andong Deng,
    Haisheng Su, Dongliang Wang, Weihao Gan, Cewu Lu, Wei Wu
    IEEE Transactions on Circuits and Systems for Video Technology, 2023

    [paper] [code]

    STAR: A Benchmark for Situated Reasoning in Real-World Videos

    Bo Wu, Shoubin Yu, Zhenfang Chen, Joshua B. Tenenbaum, Chuang Gan
    NeurIPS (Track Datasets and Benchmark), 2021

    [paper] [code] [project page]

    Internship & Experience
  • May. 2023 - Aug. 2023: Research Scientist Intern, Amazon Alexa AI
  • Jan. 2021 - Dec. 2021: Research Assistant, MIT-IBM Watson AI Lab
  • Jan. 2021 - Apr. 2022: Research Intern, SenseTime
  • Jan. 2021 - Nov. 2021: Research Assistant, MVIG
  • Patents & Awards
  • CN Patent CN110969107A, 2019
  • CN Patent CN114724062A, 2022
  • Meritorious Award in Mathematical Contest in Modeling, 2019
  • Second Prize in Shanghai, China Undergraduate Mathematical Contest in Modeling, 2019
  • The Hui-Chun Chin and Tsung Dao Lee Scholar, 2020
  • Professional Service
  • Conference reviewer: ACL 2023, EACL 2023, CoNLL 2023, CVPR 2023 Workshop, AAAI 2023 Workshop
  • Journal reviewer: IEEE Transactions on Circuits and Systems for Video Technology
  • Misc
  • My family name Yu, pronounced as Yui rather than You.
  • You can also call me Eric alternatively.
  • Personally, I don't totally convinced by MBTI theory, but I'm an ENFJ 😛.

  • (Templates adapted from Arun's webpage.)