Jui-Hsien Wang

Research Scientist/Engineer
Adobe Research, Seattle



Email: juiwang at adobe dot com
Office: 801 N 34th St, Seattle, WA
About me

I received my Ph.D. in computational mathematics from Stanford University in 2020, where I was advised by Doug James. I also have a MS degree from UCSD/Cornell and a BS from National Taiwan University.

I am a researcher in the Video AI lab at Adobe Research. Here are some topics I am currently interested in:

  • Diffusion models
  • Video understanding
  • Multimodal machine perception and reasoning
  • Physics-based modeling, simulation, and optimization
  • Visualization, immersive analytics

My overarching research goal is to model the world in an immersive, multimodal fashion. I study generative models such as diffusion and flow-based video models, and in parallel explore robust, predictive numerical simulation tools. I strive for creating creative computational tools and workflows that help artists create. I like this quote from Richard Feynman: Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.

Internship: If you are interested in messing around with me and motivated to do something different, reach out! I am always open to chatting and collaborating.

My Chinese name is 王睿賢. I go by "Jui" which sounds like "Ray" in English. If you'd like to try to pronounce the syllables after the hyphen, try it with a silent "H". Here is how I pronounce my first name when talking in English:

News

  • Oct 15 2024: Firefly Video (T2V/I2V) and GenExtend, two features I worked on for multiple years, are announced!
  • Sep 19 2024: 1 SIGGRAPH Asia paper accepted. Congrats Kangrui!
  • Apr 26 2024: GenLens won the best paper award at PacificVis. Congrats Tica!
  • Feb 27 2024: 1 paper accepted to PacificVis (GenLens: sysmetric evaluation of visual GenAI model outputs).
  • Feb 27 2024: VideoMosaic paper is accepted to CVPR 2024.
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