Peer-reviewed Journal and Conference Articles

  • Subhashis Hazarika, Ayan Biswas, Earl Lawrence, Phillip J. Wolfram: “Probabilistic Principal Component Analysis Guided Spatial Partitioning of Multivariate Ocean Biogeochemistry Data”, Workshop on Visualization in Environmental Sciences (EnvirVis), EuroVis 2021, DOI: 10.2312/envirvis.20211078.

  • Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan Urban:“Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data”, 2020 IEEE VisualizationConference (VIS), DOI: 10.1109/VIS47514.2020.00015.

  • Subhashis Hazarika, Haoyu Li, Ko-Chih Wang, Han-Wei Shen, Ching-Shan Chou: “NNVA: NeuralNetwork Assisted Visual Analysis of Yeast Cell Polarization Simulation”, IEEE Transactions on Visualization and Computer Graphics, 26 (1), 34-44 (2020). [Best Paper Honorable Mention at IEEE Vis (VAST) 2019].

  • Piyush Chawla, Subhashis Hazarika, Han-Wei Shen: “Token-wise Sentiment Decomposition for ConvNet: Visualizing a Sentiment Classifier”, Visual Informatics, Elsevier 2468-502X (2020).

  • Subhashis Hazarika, Soumya Dutta, Han-Wei Shen, Jen-Ping Chen: “CoDDA: A Flexible Copula-based Distribution Driven Analysis Framework for Large-Scale Multivariate Datasets”, IEEE Transactions on Visualization and Computer Graphics, 25(1): 1214-1224 (2019).

  • Qun Liu, Subhashis Hazarika, John M Patchett, James Paul Ahrens, Ayan Biswas: “Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations”, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2019).

  • Junpeng Wang, Subhashis Hazarika, Cheng Li, Han-Wei Shen: “Visualization and Visual Analysis of Ensemble Data: A Survey”, IEEE Transactions on Visualization and Computer Graphics, 25(9): 2853-2872 (2019).

  • Subhashis Hazarika, Ayan Biswas, Han-Wei Shen: “Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models”, IEEE Transactions on Visualization and Computer Graphics,24(1): 934-943 (2018).

  • Subhashis Hazarika, Ayan Biswas, Soumya Dutta, Han-Wei Shen: “Information Guided Exploration of Scalar Values and Isocontours in Ensemble Datasets”, Entropy 2018, 20(7), 540. (Special Issue Information Theory Application in Visualization).

  • Subhashis Hazarika, Soumya Dutta, Han-Wei Shen: “Visualizing the Variations of Ensemble of Isosurfaces”, IEEE Pacific Visualization Symposium (PacificVis), 2016, 209-213.

  • Subhashis Hazarika, Tzu-Hsuan Wei, Rajaditya Mukherjee, Alexandru Barbur: “Visualizing the life and anatomy of dark matter”, IEEE Scientific Visualization Conference (SciVis), 2015, 101-106.

  • Sanjib Sadhu, Subhashis Hazarika, Kapil Jain, Saurav Basu, Tanmay De: “GRP-CH Heuristic for Generating Random Simple Polygon”, 23rd International Workshop on Combinatorial Algorithms 2012:Page 293-302, Springer LNCS Volume.

Book Chapters

  • Soumya Dutta, Subhashis Hazarika, Han-Wei Shen: “In Situ Statistical Distribution-based Data Summarization and Visual Analysis”, In Situ Visualization for Computational Science, 2021. Publisher:Springer. (Post-editing phase)