Erzhen Hu

Erzhen Hu

I am a PhD candidate in Computer Science at the University of Virginia, advised by Prof. Seongkook Heo. Before that, I obtained M.S. in Statistics from University of Virginia, and B.A. in Sociology from Shanghai University.

I have had the fortunate opportunity to intern with amazing researchers at Microsoft Research and Google. My work has been supported by Google PhD Fellowship.

Updates

Selected Publications
Leverage multi-view diffusion models and 3D Gaussian Splatting to enhance XR communication and collaboration around objects. A user can identify 2D content from the web browser or video seethrough, and the system will automatically transform the 2D content into 3D objects and multi-view images for XR communication.
[Arxiv - pdf] [Demo] [30s Preview] [Video Figure] [Project Page]

Leverage deep learning (instance segmentation) to enrich communication centered around objects and elevate real-time collaboration in remote settings.
[Paper] [30s Preview] [Video Figure] [Talk] [Project Page]

Erzhen Hu, Jens Emil Grønbæk, Austin Houck, Seongkook Heo
Employ proxemic metaphors within the virtual conversational space to enhance turn-taking dynamics in groups of varying sizes (small to medium-sized groups).
[Paper] [30s Preview] [Video Figure] [Talk] [Project Page]




Service
  • Program Committee Member: CHI 2023-2024 LBW, CSCW 2024 Demo and Poster
  • Reviewer for CHI 2023(*)-2025(*4), CSCW 2022 & 2024 (*), UIST 2023-2024(*), C&C 2024 (*), MobileHCI 2022(*), Auto UI 2022, NordiCHI 2022(*)
  • (*) Special Recognitions for Outstanding Reviews
  • Student Volunteer for ACM CSCW 2022, ACM UIST 2022, ACM IUI 2022, IEEE VR 2022, ACM ISS 2021



  • Design and source code from Link