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Nova · Professor Researcher · re-ranking top 20…
Yuxiong  Wang

Yuxiong Wang

· Assistant Professor

University of Illinois Urbana-Champaign · Computer Science

Active 2006–2024

h-index31
Citations5.9k
Papers15288 last 5y
Funding
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About

Yuxiong Wang is an Assistant Professor at the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign. His research focuses on artificial intelligence, with notable contributions recognized through awards such as the Best Paper Honorable Mention Award at the European Conference on Computer Vision (ECCV) in 2020. Wang has taught courses including Computational Photography and Advanced Computer Vision, indicating his expertise in computer vision and related AI fields. He has been involved in innovative projects such as AI virtual try-on technology, which aims to improve online shopping experiences. Wang's work extends into physical AI and embodied intelligence, as evidenced by his selection for the Dexmate Build with Vega U Research Grant Program for his proposal on scaling bimanual manipulation via physics-grounded human-to-robot skill transfer. His research and contributions are recognized within the AI community, and he is actively engaged in advancing the field through both research and teaching.

Research topics

  • Cell biology
  • Chemistry
  • Biology
  • Biophysics
  • Cancer research

Frequent coauthors

  • Shaoying Lu

    128 shared
  • Max Nobis

    VIB-KU Leuven Center for Cancer Biology

    110 shared
  • Jennifer P. Morton

    Cancer Research UK

    99 shared
  • Owen J. Sansom

    Cancer Research UK Scotland Institute

    97 shared
  • Shu Chien

    La Jolla Bioengineering Institute

    95 shared
  • Kurt I. Anderson

    The Francis Crick Institute

    95 shared
  • Ewan J. McGhee

    91 shared
  • Margaret C. Frame

    Edinburgh Cancer Research

    91 shared

Labs

  • Siebel School of Computing and Data SciencePI

Awards & honors

  • Best Paper Honorable Mention Award, European Conference on C…
  • Dexmate Build with Vega U Research Grant Program

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