Below is my collaboration network since 2009 using my TimeArcs visualization [J5].
Publications (arcs) are colored by venue. Mousing over the arcs to see publication details.

IN SUBMISSION

  • Tuan Dang, Paul Murray, Ronak Etemadpour, and Angus Forbes. CactusTrees: Visualizing Structure and Connectivity in Complex Hierarchical Datasets. IEEE Transactions on Visualization and Computer Graphics.
  • PAPERS

  • [WS4] Tommy Dang and Angus Forbes. CactusTree: A Tree Drawing Approach for Hierarchical Edge Bundling. Proceedings of the 10th IEEE Pacific Visualization Symposium, PacificVis 2017.
  • [WS3] Tommy Dang, Paul Murray, and Angus Forbes. BioLinker: Bottom-up exploration of protein interaction network. Proceedings of the 10th IEEE Pacific Visualization Symposium, PacificVis 2017.
  • [J5] Tuan Dang, Nick Pendar, and Angus Forbes. TimeArcs: Visualizing Fluctuations in Dynamic Networks. Computer Graphics Forum 35(3), EuroVis 2016, acceptance rate of 27%. DOI
  • TimeArcs
  • [WS2] Tuan Dang, Hong Cui, and Angus Forbes. MultiLayerMatrix: Visualizing Large Taxonomic Datasets. The seventh international EuroVis workshop on Visual Analytics, EuroVA 2016. DOI
  • MultiLayerMatrix
  • [WS1] Tuan Dang, Nico Franz, Bertram Ludäscher and Angus Forbes. ProvenanceMatrix: A Visualization Tool for Multi-Taxonomy Alignments. International Workshop on Visualizations and User Interfaces for Ontologies and Linked Data, VOILA 2015. DOI
  • ProvenanceMatrix
  • [C10] Tuan Dang, Paul Murray, Jillian Aurisano, and Angus Forbes. ReactionFlow: An Interactive Visualization Tool for Causality Analysis in Biological Pathways. BMC Proceedings 9(6), BioVis 2015. DOI
  • ReactionFlow
  • [C9] Tuan Dang, Paul Murray, and Angus Forbes. PathwayMatrix: Visualizing Binary Relationships between Proteins in Biological Pathways. BMC Proceedings 9(6), BioVis 2015. DOI
  • PathwayMatrix
  • [C8] Tuan Dang and Leland Wilkinson. PixSearcher: Searching Similar Images in Large Image Collections through Pixel Descriptors. Proceedings of the 10th International Symposium on Visual Computing, ISVC 2014. DOI
  • PixSeaarcher
  • [J4] Tuan Dang and Leland Wilkinson. Transforming Scagnostics to Reveal Hidden Features. IEEE Transactions on Visualization and Computer Graphics 20(12), VAST 2014, acceptance rate of 23%. DOI
  • ScagTransformer
  • [C7] Tuan Dang and Leland Wilkinson. ScagExplorer: Exploring Scatterplots by Their Scagnostics. Proceedings of the 7th IEEE Pacific Visualization Symposium, PacificVis 2014, acceptance rate of 29%. DOI
  • ScagExplorer
  • [C6] Tuan Dang and Leland Wilkinson. TimeExplorer: Similarity Search Time Series by Their Signatures. Proceedings of the 9th International Symposium on Visual Computing, ISVC 2013. DOI
  • TimeExplorer
  • [C5] Tuan Dang and Leland Wilkinson. Detecting interesting distributions in multiple time series data. Proceedings of the 5th International Symposium on Visual Information Communication and Interaction, VINCI 2012. DOI
    Timeseer2
  • [C4] Tuan Dang, Anushka Anand, and Leland Wilkinson. FmFinder: Search and Filter Your Favorite Songs. Proceedings of the 8th International Symposium on Visual Computing, ISVC 2012. DOI   FmFinder is available on Apple Store
  • FmFinder
  • [J3] Tuan Dang, Anushka Anand, and Leland Wilkinson. TimeSeer: Scagnostics for High-Dimensional Time Series. IEEE Transactions on Visualization and Computer Graphics 19(3), TVCG 2012. DOI
  • CHIRP
  • [C3] Anushka Anand, Leland Wilkinson, and Tuan Dang. Visual Pattern Discovery using Random Projections. Proceedings of IEEE Conference on Visual Analytics Science and Technology, VAST 2012, acceptance rate of 28%. DOI
  • [J2] Leland Wilkinson, Anushka Anand, and Tuan Dang. Substantial improvements in the set-covering projection classifier CHIRP. Journal ACM Transactions on Knowledge Discovery from Data, TKDD 2012. DOI
  • [C2] Leland Wilkinson, Anushka Anand, and Tuan Dang. [CHIRP: A new classifier based on Composite Hypercubes on Iterated Random Projections. Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2011, acceptance rate of 17.5%. DOI
  • [J1] Tuan Dang, Leland Wilkinson, and Anushka Anand. Stacking Graphic Elements to Avoid Over-Plotting. IEEE Transactions on Visualization AndComputer Graphics 16(6), InfoVis 2010, acceptance rate of 26%. DOI
  • Stacking dots
  • [C1] Anushka Anand, Leland Wilkinson, and Tuan Dang. An L-infinity Norm Visual Classier. Proceedings of IEEE International Conference on Data Mining, ICDM 2009, acceptance rate of 17.8%. DOI
  • [POSTERS

  • [P6] Tuan Dang and Leland Wilkinson. Using Scagnostics to cluster huge datasets. IEEE Visual Analytics in Science and Technology, VAST 2013. (Best Poster)
  • [P5] Tuan Dang and Leland Wilkinson. ScagExplorer: Exploring Scatterplots by Their Features. The 6th IEEE Pacific Visualization Symposium, PacificVis 2013.
  • [P4] Tuan Dang and Leland Wilkinson. Clustering Large Image Collections through Pixel Descriptors. IEEE Symposium on Information Visualization, InfoVis 2012.
  • [P3] Anushka Anand, Leland Wilkinson, and Tuan Dang. Using Random Projections to Identify Class-Separating Variables. IEEE Visual Analytics in Science and Technology, VAST 2011. (Best Poster)
  • [P2] Tuan Dang, Allan Berry, and Mike Stieff. ConnChem: Computer-Based Modeling for teaching and learning Chemistry. Gordon Research Conference: Visualization in Science & Education, GRC 2011.
  • [P1] Anushka Anand, Leland Wilkinson, and Tuan Dang. CHIRP: A New Classifier based on Random Projections and Covering. The 5th Annual Workshop for Women in Machine Learning, 2010.