Design Studies
Sports Visualization
Tom Polk, Jing Yang, Yueqi Hu, and Ye Zhao. TenniVis: Visualization for Tennis Match Analysis. IEEE Transactions on Visualization and Computer Graphics (IEEE InfoVis 2014), 20(12): 2339 - 2348. (full paper) (video)
Financial/Business Data Visual Analytics
Cong Xie, Wei Chen, Xinxin Huang, Yueqi Hu, Scott Barlowe, and Jing Yang. VAET: A Visual Analytics Approach for E-transactions Time-series. IEEE Transactions on Visualization and Computer Graphics (IEEE VAST 2014), 20(12): 1743-1752 (2014) (full paper) (video)
R. Chang and M. Ghoniem and R. Kosara and W. Ribarsky and J. Yang and E. Sumak and C. Ziemkiewicz and D. Kerm and A. Sudjianto: WireVis: Visualization of Categorical, Time-Varying Data From Financial Transactions. Proc. IEEE Symposium on Visual Analytics Science and Technology 2007: 155-162 (full paper)
Bioinformatics Data Visual Analytics
S. Barlowe, J. Yang, D. Jacobs, D. Livesay, J. Alsakran, Y. Zhao, D. Verma, and J. Mottonen: A Visual Analytics Approach to Exploring Protein Flexibility Subspaces. Proc. IEEE Pacific Visualization Symposium 2013: 193-200.
S. Barlowe, Y. Liu, J. Yang, D. Livesay, D. Jacobs, J. Mottonen, and D. Verma: WaveMap: A Visual Analytics Approach for Feature Discovery in Complex Computational Biology Datasets. Computer Graphics Forum 30(3)(EuroVis 2011): 1001-1010. (full paper) (video)
Environmental/Health Data Visual Analytics
Chong Zhang, Jing Yang, F. Benjamin Zhan, Xi Gong, Jean D. Brender, Peter H Langlois, Scott Barlowe, and Ye Zhao: A Visual Analytics Approach to High-Dimensional Logistic Regression Modeling and its Application to an Environmental Health Study, under preparation
C. Zhang, J. Yang, F. B. Zhan, X. Gong, J. D. Brender, P. Langlois, and S. Barlowe: Identifying Risk Factors for Birth Defects in High Dimensional Environmental Health Data. IEEE VAST 2013, poster.
Clustering-Based Visual Analytics, Insight Management, and Interactions
Clustering-Based Visual Analytics and Evaluations
J. Yang, Y. Liu, X. Zhang, X. Yuan, Y. Zhao, S. Barlowe, and S. Liu: PIWI: Visually exploring graphs based on their community structure. IEEE Transactions on Visualization and Computer Graphics 19(6): 1034-1047 (2013). (video) (an earlier video with more detailed introduction to the interface)
Y. Liu, S. Barlowe, Y. Feng, J. Yang, and M. Jiang: Evaluating exploratory visualization systems: A user study on how clustering-based visualization systems support information seeking from large document collections. Information Visualization 12(1): 25-43 (2013).
J. Yang, D. Luo, Y. Liu: Newdle: Interactive Visual Exploration of Large Online News Collections. IEEE Computer Graphics & Application 30(5): 32-41 (2010).
Q. Cui, M. Ward, E. Rundensteiner and J. Yang. Measuring Data Abstraction Quality in Multiresolution Visualization. IEEE Transactions on Visualization and Computer Graphics 12(5) (Proc. IEEE Symposium on Information Visualization 2006): 709-716 (full paper)
J. Yang: A general framework for multi-resolution visualization, PhD dissertation, 2005 (dissertation)
J. Yang, M. Ward and E. Rundensteiner: Interactive Hierarchical Displays: A General Framework for Visualization and Exploration of Large Multivariate Data Sets. Computers & Graphics 27(2): 265-283 (2003).
J. Yang, M. Ward and E. Rundensteiner: Hierarchical Exploration of Large Multivariate Data Sets. F. Post, G. Nielson, G.-P. Bonneau (Eds.): Data Visualization: The State of the Art 2003: 201-212 (full paper)
Insight Management
Chen, Yang, and Jing Yang: ManyInsights: A visual analytics approach to supporting effective insight management. Tsinghua Science and Technology 18(2): 171-181 (2013). (full paper)
Y.Chen, J. Alsakran, S. Barlowe, J. Yang, and Y. Zhao: Supporting effective common ground construction in asynchronous collaborative visual analytics. IEEE VAST 2011:101-110. (full paper) (video)
Y. Chen, J. Yang, and S. Barlowe: Click2Annotate: Automated Insight Externalization with Rich Semantics. IEEE Conference on Visual Analytics Science and Technology 2010: 155-162. (full paper)
Y. Chen, J. Yang, and W. Ribarsky: Toward Effective Insight Management in Visual Analytics Systems. Proc. IEEE Pacific Visualization Symposium 2009: 49-56 (full paper)
Y. Chen, J. Yang, S. Barlowe, and D. Jeong: Touch2Annotate - Generating better annotations with less human effort on multi-touch interfaces. CHI 2010 work-in-progress (paper)
Interactions
Yueqi Hu, Jing Yang, Ye Zhao, Tom Polk, and Shixia. Liu: Spot-Tracking Lens: A Novel Interaction for Bubble Charts, under preparation
Yang Chen, Jing Yang, and Ye Zhao: Toward Effective Narrative Animation in Streaming Text Visualization. IEEE Symposium on Pacific Visualization 2014, poster
M. Ward and J. Yang: Interaction Spaces in Data and Information Visualization.Proc. Eurographics/IEEE TCVG Symposium on Visualization 2004: 137-146 (full paper)
Visualization Techniques for Different Types of Data
Temporally Evolving Text Document Collections
D. Luo, J. Yang, M. Krstajic, J. Fan, W. Ribarsky, and D. Keim: EventRiver: An Event-Based Visual Analytics Approach to Exploring Large Text Collections with a Temporal Focus. IEEE Transactions on Visualization and Computer Graphics, 18(1): 93-105 (2012). (video)
J. Alsakran, Y. Chen, D. Luo, Y. Zhao, J. Yang, W. Dou, and S. Liu: Real-time Visualization of Streaming Text with Force-Based Dynamic System, IEEE Computer Graphics & Application, 32(1): 34-45 (2012). (video)
J. Alsakran, Y. Chen, Y. Zhao, J. Yang, and D. Luo: STREAMIT: dynamic visualization and interactive exploration of text streams. Proc. IEEE Pacific Visualization Symposium 2011: 131-138. (full paper) (video)
J. Alsakran, Y. Zhao, D. Luo, and J. Yang: Visual Analysis of Stream Texts with Keyword Significance. InfoVis 2010, poster. (paper)
Trajectories
Network Centrality Using Taxi Trajectory Data, submitted to IEEE VAST 2015Ding Chu, David A. Sheets, Ye Zhao, Yingyu Wu, Jing Yang, Maogong Zheng, and George Chen. Visualizing Hidden Themes of Taxi Movement with Semantic Transformation. IEEE Symposium on Pacific Visualization: 137-144, 2014. (full paper)
D. Chu, D. A. Sheets, Y. Zhao, Y. Wu, M. Zheng, G. Chen, J. Yang: Visualizing Hidden Themes of Trajectories with Semantic Transformation. VAST 2013, poster.
Multimedia/Image Collections
D. Luo, J. Yang, M. Krstajic, W. Ribarsky, and D. Keim: EventRiver: Visually Exploring Text Collections with Temporal References. IEEE Transactions on Visualization and Computer Graphics, 18(1): 93-105 (2012). (video)
H. Luo, J. Fan, J. Yang, W. Ribarsky and S. Satoh: Analyzing Large-Scale News Video Databases for Supporting Knowledge Visualization and Intuitive Retrieval. Proc. IEEE Symposium on Visual Analytics Science and Technology 2007: 107-114
H. Luo, J. Fan, J. Yang, W. Ribarsky, and S. Satoh: Exploring Large-Scale Video News via Interactive Visualization. IEEE Symposium on Visual Analytics Science and Technology 2006: 75-82
M. Ghoniem, D. Luo, J. Yang and W. Ribarsky: NewsLab: Exploratory Broadcast News Video Analysis. Proc. IEEE Symposium on Visual Analytics Science and Technology 2007: 123-130 (full paper)
J. Yang, J. Fan, D. Hubball, Y. Gao, H. Luo, W. Ribarsky and M. Ward. Semantic Image Browser: Bridging Information Visualization with Automated Intelligent Image Analysis. IEEE Symposium on Visual Analytics Science and Technology 2006: 191-198 (full paper) (video) (source code release in Windows)
Multidimensional Data
When there are dependent variables and independent variables
Chong Zhang, Jing Yang, F. Benjamin Zhan, Xi Gong, Jean D. Brender, Peter H Langlois, Scott Barlowe, and Ye Zhao: A Visual Analytics Approach to High-Dimensional Logistic Regression Modeling and its Application to an Environmental Health Study, submitted to IEEE VAST 2015
C. Zhang, J. Yang, F. B. Zhan, X. Gong, J. D. Brender, P. Langlois, and S. Barlowe: Identifying Risk Factors for Birth Defects in High Dimensional Environmental Health Data. VAST 2013, poster.
S. Barlowe, T. Zhang, Y. Liu, J. Yang and D. Jacobs. Multivariate Visual Explanation for High Dimensional Datasets. Proc. IEEE Symposium on Visual Analytics Science and Technology 2008: 147-154 (full paper)
Categorical datasets
Jamal Alsakran, Xiaoke Huang, Ye Zhao, Jing Yang, Karl Fast. Using Entropy-Related Measures in Categorical Data Visualization, IEEE Symposium on Pacific Visualization: 81-88, 2014. (full paper)
Y. Hu, X. Huang, C. Zhang, Y. Wu, J. Yang, Y. Zhao, S. Barlowe, and W. Chen: CateDocs: A New Visual Analytics Approach to Exploring High Dimensional Categorical Datasets. VAST 2013, poster.
J. Alsakran, Y. Zhao, X. Huang, A. Midget, and J. Yang: Using Entropy in Enhancing Visualization of High Dimensional Categorical Data, VisWeek 2012, poster.
High dimensional datasets
Jing Yang and Scott Barlowe: A Dimension Management Framework for High Dimensional Visualization. Advances in Information and Intelligent Systems, Z. Ras and W. Ribarsky (editors), Springer Berlin / Heidelberg, pp. 267-288, 2009
J. Yang, D. Hubball, M. Ward, E. Rundensteiner and W. Ribarsky. Value and Relation Display: Interactive Visual Exploration of Large Datasets with Hundreds of Dimensions. IEEE Transactions on Visualization and Computer Graphics 13(3): p494-507 (2007) (video, note that the system had a bug in the jigsaw map layout when the video was created so the jigsaw layout in the video is wrong. The figures in the paper are correct) (source code release in Windows)
J. Yang, A. Patro, S. Huang, N. Mehta, M. Ward and E. Rundensteiner: Value and Relation Display for Interactive Exploration of High Dimensional Datasets. Proc. IEEE Symposium on Information Visualization 2004: 73-80 (full paper)
J. Yang, W. Peng, M. Ward and E. Rundensteiner: Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration of High Dimensional Datasets. Proc. IEEE Symposium on Information Visualization 2003: 105-112 (full paper)
J. Yang, M. Ward, E. Rundensteiner and S. Huang: Visual Hierarchical Dimension Reduction for Exploration of High Dimensional Datasets. Proc. Eurographics/IEEE TCVG Symposium on Visualization 2003: 19-28 (full paper)
Datasets with a large number of data records
J. Yang, M. Ward and E. Rundensteiner: Hierarchical Exploration of Large Multivariate Data Sets. F. Post, G. Nielson, G.-P. Bonneau (Eds.): Data Visualization: The State of the Art 2003: 201-212 (full paper)
J. Yang, M. Ward and E. Rundensteiner: Interactive Hierarchical Displays: A General Framework for Visualization and Exploration of Large Multivariate Data Sets. Computers & Graphics 27(2): 265-283 (2003).
Network/Hierarchy Visualization
Jonathan C. Roberts, Jing Yang, Oliver Kohlbacher, Matthew O. Ward, and Michelle X. Zhou: Novel Visual Metaphors for Multivariate Networks, Multivariate Network Visualization, Lecture Notes in Computer Science Volume 8380, pp. 127-150, Andreas Kerren, Helen C. Purchase, and Matthew O. Ward (editors), Springer, 2014
J. Yang, Y. Liu, X. Zhang, X. Yuan, Y. Zhao, S. Barlowe, and S. Liu: PIWI: Visually exploring graphs based on their community structure. IEEE Transactions on Visualization and Computer Graphics 19(6): 1034 -1047 (2013). (video) (another video with more detailed introduction to the interface)
J. Yang, M. Ward, E. Rundensteiner and A. Patro: InterRing: A Visual Interface for Navigating and Manipulating Hierarchies. Information Visualization 2(1): 16-30 (2003).
J. Yang, M. Ward and E. Rundensteiner: InterRing: An Interactive Tool for Visually Navigating and Manipulating Hierarchical Structures. Proc. IEEE Symposium on Information Visualization 2002: 77-84 (full paper)