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Mr Yunzhan Zhou

Postgraduate Student

AffiliationRoom numberTelephone
Postgraduate Student in the Department of Computer ScienceMathematical Sciences and Computer Science Building 


He has built a 3D eye-tracking dataset collected when users were navigating through a VR museum. Based on the dataset, He proposed several machine learning and deep learning methods for predicting subsequent visual attention. He is now working on improving the prediction methods and understanding the visual attention mechanism in VR.

The dataset can be found here:

Research interests

  • Deep Learning
  • Virtual Reality
  • Human-Computer Interaction
  • Visual Attention
  • Eye Tracking
  • User Interface


Chapter in book

  • (2019). 8. Towards personalized virtual reality touring through cross-object user interfaces. In Personalized Human-Computer Interaction. 201.
  • Li, Xiangdong, Chen, Wenqian, Zhou, Yunzhan, Athalye, Surabhi, Chin, Wai Kit Daniel, Goh Wei Kit, Russell, Setiawan, Vincent & Hansen, Preben (2019). Mobile Phone-Based Device for Personalised Tutorials of 3D Printer Assembly. In Human-Computer Interaction. Recognition and Interaction Technologies. 11567: 37.

Conference Paper

Journal Article

  • Zhou, Yunzhan, Feng, Tian, Shuai, Shihui, Li, Xiangdong, Sun, Lingyun & Duh, Henry Been-Lirn (2022). EDVAM: a 3D eye-tracking dataset for visual attention modeling in a virtual museum. Frontiers of Information Technology & Electronic Engineering 23(1): 101.
  • Sun, Lingyun, Zhou, Yunzhan, Hansen, Preben, Geng, Weidong & Li, Xiangdong (2018). Cross-objects user interfaces for video interaction in virtual reality museum context. Multimedia Tools and Applications 77(21): 29013.