|Postgraduate Student in the Department of Computer Science||Mathematical 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: https://github.com/YunzhanZHOU/EDVAM
- Deep Learning
- Virtual Reality
- Human-Computer Interaction
- Visual Attention
- Eye Tracking
- User Interface
Chapter in book
- Li, Zhaoxing, Shi, Lei, Cristea, Alexandra, Zhou, Yunzhan, Xiao, Chenghao & Pan, Ziqi (2022). SimStu-Transformer: A Transformer-Based Approach to Simulating Student Behaviour. In Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. Springer, Cham. 13356: 348-351.
- (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.
- Li, Zhaoxing, Shi, Lei, Cristea, Alexandra I. & Zhou, Yunzhan (2021), A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns, ACM Designing Interactive Systems (DIS). Virtual, Association for Computing Machinery, 1579-1590.
- Zhou, Yunzhan, Feng, Tian, Shuai, Shihui, Li, Xiangdong, Sun, Lingyun & Duh, Henry B.L. (2019), An Eye-Tracking Dataset for Visual Attention Modelling in a Virtual Museum Context, The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry. 1.
- 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): 101-112.
- 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.