Erzhen Hu

Erzhen Hu

I am a Ph.D. 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.

About

As we approach the everyday use of virtual world, my research explores how to enable more flexible and frictionless way of connecting with people in virtual and hybrid spaces.

My research includes exploring Human-AI communication paradigms by augmenting human-human interactions through multi-modal agents, leveraging LLMs, and applying advanced 2D and 3D computer vision methods for multi-user scenarios, video-mediated interactions and XR applications. I also investigate theory-driven approaches to improve spontaneous and structured conversations, and turn-taking dynamics in small to medium-sized groups.

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.
[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