Contact
Phone: 330-672-9059
Email: yzhao6@kent.edu
Office: MSB Room 220, Mathematical Sciences Building
About
Ye Zhao is a full professor in the Department of Computer Science at the Kent State University. He has been working in the field of visualization and computer graphics for more than 20 years and published numerous refereed research papers. Ye Zhao has supervised many PhD students, who have gone on to achieve success in both academia and industry. He is currently an associate editor of IEEE Transactions on Visualization and Computer Graphics and IEEE Transactions on Emerging Topics in Computing. Ye Zhao received his PhD degree in computer science from the Stony Brook University, State University of New York in 2006. His current research interests include data visualization and visual analytics systems for xAI, data science, and other applications. He teaches multiple courses including Information Visualization, Scientific Visualization, Advanced Computer Graphics, etc.
Selected Publications
- Easy interpretation of image classification results with feature-level visualization, D. Bhati, Y. Zhao, T-H. Wu, M. Amiruzzaman, J. Yang, Visualization and Data Analysis, Proceedings of Electronic Imaging, March, 2026, invited presentation at EI2026 Highlights Session
- A Survey of Post-Hoc XAI Methods From a Visualization Perspective: Challenges and Opportunities, D. Bhati, M. Amiruzzaman, Y. Zhao, A. Guercio, T. Le, IEEE Access, Vol. 13, pages 120785 - 120806, June, 2025
- Sequence-Based Segmentation and Non-Temporal Visualizations for Pilot Performance Assessment, D. Sheets, M. Amiruzzaman, D. B. Stringer, B. Strzempkowski, Y. Zhao, AIAA, 2091, Jan, 2025
- Visualizing Routes with AI-Discovered Street-View Patterns, T-H. Wu, M. Amiruzzaman, Y. Zhao, D. Bhati, J. Yang, IEEE Transactions on Computational Social Systems, 11(5), pages 6380 - 6391, Oct., 2024
- TimePool: Visually Answer “Which and When” Questions On Univariate Time Series, T. Feng, Y. Hu, J. Yang, T. Polk, Y. Zhao, S. Liu, Z. Yang, IEEE Visualization Conference, Oct., 2023.
- An AI-based Framework for Studying Visual Diversity of Urban Neighborhoods and Its Relationship with Socio-demographic Variables, Md Amiruzzaman, Y. Zhao, S. Amiruzzaman, A.C. Karpinski, T-H. Wu, Journal of Computational Social Science, Volume 6, pages 315–337, 2023, 10.1007/s42001-022-00197-1
- Geo-Context Aware Study of Autonomous Driving Models and Spatial Video Data, S. Jamonnak, Y. Zhao, X. Huang, M. Amiruzzaman, IEEE Transactions on Visualization and Computer Graphics, 28(1), 1019 - 1029, 2021
- A Visual Designer of Layer-wise Relevance Propagation Models, X. Huang, S. Jamonnak, Y. Zhao, T. H. Wu, W. Xu, Computer Graphics Forum, 40(3), 227-238, 2021
- CLEVis: A Semantic Driven Visual Analytics System for Community Level Events, C. Ma, Y. Zhao, A. Curtis, F. Kamw, S. AL-Dohuki, J. Yang, S. Jamonnak, I. Ali, IEEE Computer Graphics and Applications, 41(2), 49-62, 2021
- Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images, X. Huang, S. Jamonnak, Y. Zhao, B. Wang, M. Hoai, K. Yager, W. Xu, IEEE Transactions on Visualization and Computer Graphics, Oct. 2020, 10.1109/TVCG.2020.3030384
- GTMapLens: Interactive Lens for Geo-Text Data Browsing on Map, C. Ma, Y. Zhao, S. AL-Dohuki, J. Yang, X. Ye, F. Kamw, M. Amiruzzaman, Computer Graphics Forum, Vol. 39, Number 3, Pages 469-481, 2020
- GeoVisuals: a visual analytics approach to leverage the potential of spatial videos and associated geonarratives, S. Jamonnak, Y. Zhao, S. AL-Dohuki, A. Curtis, X. Ye, F. Kamw, J. Yang, International Journal of Geographical Information Science, 34(11), 2115-2135, 2020
- A Natural-language-based Visual Query Approach of Uncertain Human Trajectories, Z. Huang, Y. Zhao, W. Chen, S. Gao, K. Yu, W. Xu, M. Tang, M. Zhu, M. Xu, IEEE Transactions on Visualization and Computer Graphics, 26(1), 1256-1266, Jan. 2020
- Urban Structure Accessibility Modeling and Visualization for Joint Spatiotemporal Constraints, F. Kamw, S. AL-Dohuki, Y. Zhao, T. Eynon, D. Sheets, J. Yang, X. Ye, W. Chen, IEEE Transactions on Intelligent Transportation Systems, 21(1), 104-116, 10.1109/TITS.2018.2888994, 2020