|
|
Ye Zhao ProfessorDepartment of Computer ScienceKent State University |
Contact: Phone: 330-672-9059 Email: zhao@cs.kent.edu Office: Room 220 Math & Comp. Sci. Building Mail: Kent State University Dept. of Computer Science PO Box 5190 Kent, Ohio 44242-0001 |
Visualizing
Routes with
AI-Discovered
Street-View
Patterns, T-H. Wu,
M. Amiruzzaman, Y.
Zhao, D. Bhati, J.
Yang, IEEE
Transaction on
Computational
Social Systems,
To appear, Mar. 2024,
IEEE.
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, Oct., 2023, IEEE Visualization Conference, Melbourne, Australia, IEEE.
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, 6, 315–337, Journal of
Computational Social Science,
Jan., 2023, Springer (Link)
VisualCommunity: a Platform for
Archiving and Studying Communities,
S. Suphanut, D. Bhati, Md
Amiruzzaman, Y. Zhao, X. Ye, and A.
Curtis, 5, 1257–1279, Journal
of Computational Social Science,
June, 2022, Springer (Link).
AVES: A Data-driven Approach for
Airman Certification, D. Sheets, Md
Amiruzzaman, D. B. Stringer, B.
Neff, and Y. Zhao, AIAA
Aviation Forum, 3416,
June, 2022 (Link).
Geo-Context
Aware Study of Autonomous Driving
Models and Spatial Video Data,
Suphanut Jamonnak, Ye Zhao, Xinyi
Huang, Md Amiruzzaman,
IEEE Transactions on
Visualization and Computer
Graphics (VIS 2021),
28(1),
1019 -
1029, 2021, IEEE (Link).
A Visual
Designer of Layer-wise Relevance Propagation
Models, Xinyi Huang, Suphanut Jamonnak, Ye
Zhao, Tsung Heng Wu, Wei Xu, Computer
Graphics Forum
(EuroVis
2021), 40(3), 227-238,
2021, Wiley.
(Lnk)
Classifying crime places by
neighborhood visual appearance and
police geonarratives: a machine
learning approach, Md Amiruzzaman, Andrew
Curtis,
Ye Zhao, Suphanut Jamonnak, Xinyue
Ye, Journal of Computational
Social Science, Mar.
2021, 10.1007/s42001-021-00107-x, Springer .
CLEVis: A Semantic Driven Visual Analytics
System for Community Level Events, Chao Ma,
Ye Zhao, Andrew
Curtis, Farah
Kamw,
Shamal
AL-Dohuki, Jing
Yang, Suphanut Jamonnak, Ismael Ali,
IEEE Computer Graphics and
Applications, 41(2),
49-62, 2021, IEEE. (Link)
Interactive
Visual Study of Multiple Attributes Learning
Model of X-Ray Scattering Images, Xinyi
Huang, Suphanut Jamonnak, Ye Zhao, Boyu
Wang, Minh Hoai, Kevin Yager, Wei Xu, IEEE
Transactions on Visualization and
Computer Graphics (SciVis 2020),
Oct. 2020, 10.1109/TVCG.2020.3030384,
IEEE.
GTMapLens:
Interactive Lens for Geo-Text Data
Browsing on Map, Chao Ma, Ye
Zhao, Shamal AL-Dohuki, Jing
Yang, Xinyue Ye, Farah Kamw, Md
Amiruzzaman, Computer
Graphics Forum, Vol. 39, Number
3, Pages 469-481, 2020, Wiley. (Link).
Interactive
Visualization of AI-based
Speech Recognition Texts,
Tsung Heng Wu, Ye
Zhao, Md Amiruzzaman,
the 11th EuroVis
Workshop on Visual
Analytics (EuroVA 2020),
May,
2020. (Link).
GeoVisuals: a visual analytics approach to
leverage the potential of spatial videos and
associated geonarratives, Suphanut Jamonnak,
Ye Zhao, Shamal AL-Dohuki, Andrew
Curtis, Xinyue
Ye, Farah Kamw, Jing
Yang, International
Journal of Geographical Information
Science (IJGIS), 34(11),
2115-2135, 2020, Taylor & Francis. (Link).
A
Natural-language-based Visual Query Approach
of Uncertain Human Trajectories, Zhaosong
Huang, Ye Zhao, Wei Chen, Shengjie Gao ,
Kejie Yu, Weixia Xu, Mingjie Tang, Minfeng
Zhu, Mingliang Xu, IEEE Transactions
on Visualization and Computer Graphics
(VAST 2019), 26(1),
10.1109/TVCG.2019.2934671,
26(1), 1256-1266, Jan. 2020,
IEEE.
Urban Structure Accessibility Modeling and
Visualization for Joint Spatiotemporal
Constraints, Farah Kamw, Shamal AL-Dohuki, Ye
Zhao, Thomas Eynon, David Sheets, Jing Yang,
Xinyue Ye, Wei Chen,
IEEE Transactions on Intelligent
Transportation Systems, 21(1),
104-116,
10.1109/TITS.2018.2888994,
2020, IEEE. (Link).
Visual Understanding of
Multiple Attributes Learning
Model of X-Ray Scattering
Images, Xinyi Huang,
Suphanut Jamonnak, Ye Zhao,
Boyu Wang, Minh
Hoai Nguyen, Kevin
Yager, Wei Xu, ICCV
Workshop on Interpreting
and Explaining Visual
Artificial Intelligence
Models, arXiv:1910.04357,
Nov., 2019.
An
Open Source TrajAnalytics Software for
Modeling, Transformation and Visualization
of Urban Trajectory Data, Shamal AL-Dohuki, Farah
Kamw,
Ye Zhao, Xinyue Ye, Jing
Yang, The
22nd IEEE Intelligent Transportation
Systems Conference,
10.1109/ITSC.2019.8917058,
Auckland, New Zealand, Oct., 2019, IEEE.
QuteVis:
Visually Studying Transportation Patterns
Using Multi-Sketch Query of Joint Traffic
Situations, Shamal AL-Dohuki,
Ye Zhao, Farah
Kamw,
Jing Yang, Xinyue Ye, Wei Chen,
IEEE Computer Graphics and
Applications,
10.1109/MCG.2019.2911230, 2019, IEEE.
Visually Analyzing Latent
Accessibility Clusters of Urban
POIs, Farah
Kamw, Shamal
AL-Dohuki, Ye Zhao, Jing Yang,
Xinyue Ye, Wei Chen,
10th EuroVis Workshop on
Visual Analytics,
10.2312/eurova.20191123,
Porto, Portugal, June, 2019,
Eurographics Association. (Link).
Fully Parallelized Lattice Boltzmann Scheme for
Fast Extraction of Biomedical Geometry, Zhiqiang
Wang, Ye Zhao, Huidan Yu, Chen Lin, Alan P
Sawchuck, Journal of Parallel and
Distributed Computing, Volume 128,
Pages 126-136, 10.1016/j.jpdc.2019.02.004,
June, 2019, Elsevier.
