GRP_CH Heuristic for Generating Random Simple Polygon. - Sanjib Sadhu; Subhashis Hazarika; Kapil Kumar Jain; Saurav Basu; Tanmay De (IWOCA, 2012)

Visualizing the life and anatomy of dark matter. - Subhashis Hazarika; Tzu-Hsuan Wei; Rajaditya Mukherjee; Alexandru Barbur (SciVis, 2015)

Visualizing the variations of ensemble of isosurfaces. - Subhashis Hazarika; Soumya Dutta; Han-Wei Shen (PacificVis, 2016)

Information Guided Exploration of Scalar Values and Isocontours in Ensemble Datasets. - Subhashis Hazarika; Ayan Biswas; Soumya Dutta; Han-Wei Shen (Entropy, 2018)

Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models. - Subhashis Hazarika; Ayan Biswas; Han-Wei Shen (IEEE Trans. Vis. Comput. Graph., 2018)

Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations. - Qun Liu; Subhashis Hazarika; John M. Patchett; James Paul Ahrens; Ayan Biswas (CoRR, 2019)

CoDDA: A Flexible Copula-based Distribution Driven Analysis Framework for Large-Scale Multivariate Data. - Subhashis Hazarika; Soumya Dutta; Han-Wei Shen; Jen-Ping Chen (IEEE Trans. Vis. Comput. Graph., 2019)

Visualization and Visual Analysis of Ensemble Data: A Survey. - Junpeng Wang 001; Subhashis Hazarika; Cheng Li; Han-Wei Shen (IEEE Trans. Vis. Comput. Graph., 2019)

Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. - Subhashis Hazarika; Ayan Biswas; Phillip J. Wolfram; Earl Lawrence; Nathan M. Urban (IEEE VIS (Short Papers), 2020)

NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation. - Subhashis Hazarika; Haoyu Li; Ko-Chih Wang; Han-Wei Shen; Ching-Shan Chou (IEEE Trans. Vis. Comput. Graph., 2020)

Token-wise sentiment decomposition for ConvNet: Visualizing a sentiment classifier. - Piyush Chawla; Subhashis Hazarika; Han-Wei Shen (Vis. Informatics, 2020)

Probabilistic Principal Component Analysis Guided Spatial Partitioning of Multivariate Ocean Biogeochemistry Data. - Subhashis Hazarika; Ayan Biswas; Earl Lawrence; Philip J. Wolfram (EnvirVis@EuroVis, 2021)

Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles. - Soo Kyung Kim; Kalai Ramea; Salva Rühling Cachay; Haruki Hirasawa; Subhashis Hazarika; Dipti Hingmire; Peetak Mitra; Philip J. Rasch; Hansi A. Singh (CIKM, 2023)

Hybrid Machine Learning and Autonomous Control Assisted Framework for Fault Diagnostics and Mitigation in Diesel Engines. - Raman Goyal; Dhrubajit Chowdhury; Subhashis Hazarika; Raj Pradip Khawale; Shubhendu Kumar Singh; Lara S. Crawford; Rahul Rai (AIAI (2), 2023)

HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns. - Subhashis Hazarika; Haruki Hirasawa; Soo Kyung Kim; Kalai Ramea; Salva Rühling Cachay; Peetak Mitra; Dipti Hingmire; Hansi A. Singh; Philip J. Rasch (IEEE VIS (Short Papers), 2023)

Accelerating exploration of Marine Cloud Brightening impacts on tipping points Using an AI Implementation of Fluctuation-Dissipation Theorem. - Haruki Hirasawa; Soo Kyung Kim; Peetak Mitra; Subhashis Hazarika; Salva Rühling Cachay; Dipti Hingmire; Kalai Ramea; Hansi A. Singh; Philip J. Rasch (CoRR, 2023)

XplainScreen: Unveiling the Black Box of Graph Neural Network Drug Screening Models with a Unified XAI Framework. - Geonhee Ahn; Md. Mahim Anjum Haque; Subhashis Hazarika; Soo Kyung Kim (CIKM, 2024)

Filling the Void: Data-Driven Machine Learning-based Reconstruction of Sampled Spatiotemporal Scientific Simulation Data. - Ayan Biswas; Aditi Mishra; Meghanto Majumder; Subhashis Hazarika; Alexander Most; Juan Castorena; Christopher Bryan; Patrick S. McCormick; James P. Ahrens; Earl Lawrence; Aric A. Hagberg (SC Workshops, 2024)

Are Generative AI systems Capable of Supporting Information Needs of Patients? - Shreya Rajagopal; Subhashis Hazarika; Sookyung Kim; Yan-Ming Chiou; Jae Ho Sohn; Hari Subramonyam; Shiwali Mohan (CoRR, 2024)

Hybrid physics-infused 1D-CNN based deep learning framework for diesel engine fault diagnostics. - Shubhendu Kumar Singh; Raj Pradip Khawale; Subhashis Hazarika; Ankur Bhatt; Brian Gainey; Benjamin Lawler; Rahul Rai (Neural Comput. Appl., 2024)

The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale. - James P. Ahrens; Marco Arienti; Utkarsh Ayachit; Janine Bennett; Roba Binyahib; Ayan Biswas; Peer-Timo Bremer; Eric Brugger; Roxana Bujack; Hamish A. Carr; Jieyang Chen; Hank Childs; et al. (Int. J. High Perform. Comput. Appl., 2025)

Hybrid Physics-Infused One-Dimensional Convolutional Neural Network-Based Ensemble Learning Framework for Diesel Engine Fault Diagnostics. - Shubhendu Kumar Singh; Raj Pradip Khawale; Subhashis Hazarika; Rahul Rai (J. Comput. Inf. Sci. Eng., 2025)

Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators. - Leonard Lupin-Jimenez; Moein Darman; Subhashis Hazarika; Tianning Wu; Michael Gray; Ruyoing He; Anthony Wong; Ashesh Chattopadhyay (CoRR, 2025)