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ORCIDSubhashis Hazarika
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2020 – today
- 2025
[j8]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, Soumya Dutta, Abdelilah Essiari, Berk Geveci, Cyrus Harrison, Subhashis Hazarika, Megan Hickman Fulp, Petar Hristov, Xuan Huang, Joseph A. Insley, Yuya Kawakami, Chloe Keilers, James Kress, Matthew Larsen, Dan Lipsa, Meghanto Majumder, Nicole Marsaglia, Victor A. Mateevitsi, Valerio Pascucci, John Patchett, Saumil Patel, Steve Petruzza, David Pugmire, Silvio Rizzi, David H. Rogers, Oliver Rübel, Jorge Sebastian Salinas, Sudhanshu Sane, Sergei Shudler, Alexandra Stewart, Karen C. Tsai, Terece L. Turton, Will Usher, Zhe Wang, Gunther H. Weber, Corey Wetterer-Nelson, Jonathan Woodring, Abhishek Yenpure:
The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale. Int. J. High Perform. Comput. Appl. 39(1): 32-51 (2025)- [i8]Leonard Lupin-Jimenez, Moein Darman, Subhashis Hazarika, Tianning Wu, Michael Gray, Ruyoing He, Anthony Wong, Ashesh Chattopadhyay:
Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators. CoRR abs/2501.05058 (2025) - 2024
- [j7]Shubhendu Kumar Singh, Raj Pradip Khawale, Subhashis Hazarika, Ankur Bhatt, Brian Gainey, Benjamin Lawler, Rahul Rai:
Hybrid physics-infused 1D-CNN based deep learning framework for diesel engine fault diagnostics. Neural Comput. Appl. 36(28): 17511-17539 (2024) - [c10]Geonhee Ahn, Md. Mahim Anjum Haque, Subhashis Hazarika, Soo Kyung Kim:
XplainScreen: Unveiling the Black Box of Graph Neural Network Drug Screening Models with a Unified XAI Framework. CIKM 2024: 5164-5168 - [c9]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:
Filling the Void: Data-Driven Machine Learning-based Reconstruction of Sampled Spatiotemporal Scientific Simulation Data. SC Workshops 2024: 290-299 - [i7]Shreya Rajagopal, Subhashis Hazarika, Sookyung Kim, Yan-Ming Chiou, Jae Ho Sohn, Hari Subramonyam, Shiwali Mohan:
Are Generative AI systems Capable of Supporting Information Needs of Patients? CoRR abs/2402.00234 (2024) - 2023
- [c8]Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Haruki Hirasawa, Subhashis Hazarika, Dipti Hingmire, Peetak Mitra, Philip J. Rasch, Hansi A. Singh:
Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles. CIKM 2023: 4653-4659 - [c7]Raman Goyal, Dhrubajit Chowdhury, Subhashis Hazarika, Raj Pradip Khawale, Shubhendu Kumar Singh, Lara S. Crawford, Rahul Rai:
Hybrid Machine Learning and Autonomous Control Assisted Framework for Fault Diagnostics and Mitigation in Diesel Engines. AIAI (2) 2023: 325-339 - [c6]Subhashis Hazarika, Haruki Hirasawa, Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Peetak Mitra, Dipti Hingmire, Hansi A. Singh, Philip J. Rasch:
HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns. IEEE VIS (Short Papers) 2023: 226-230 - [i6]Haruki Hirasawa, Soo Kyung Kim, Peetak Mitra, Subhashis Hazarika, Salva Rühling Cachay, Dipti Hingmire, Kalai Ramea, Hansi A. Singh, Philip J. Rasch:
Accelerating exploration of Marine Cloud Brightening impacts on tipping points Using an AI Implementation of Fluctuation-Dissipation Theorem. CoRR abs/2302.01957 (2023) - [i5]Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Haruki Hirasawa, Subhashis Hazarika, Dipti Hingmire, Peetak Mitra, Philip J. Rasch, Hansi A. Singh:
Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles. CoRR abs/2302.03258 (2023) - [i4]Subhashis Hazarika, Haruki Hirasawa, Soo Kyung Kim, Kalai Ramea, Salva Rühling Cachay, Peetak Mitra, Dipti Hingmire, Hansi A. Singh, Philip J. Rasch:
HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns. CoRR abs/2305.07859 (2023) - 2021
- [c5]Subhashis Hazarika, Ayan Biswas, Earl Lawrence, Philip J. Wolfram:
Probabilistic Principal Component Analysis Guided Spatial Partitioning of Multivariate Ocean Biogeochemistry Data. EnvirVis@EuroVis 2021: 9-15 - 2020
- [j6]Subhashis Hazarika, Haoyu Li, Ko-Chih Wang, Han-Wei Shen, Ching-Shan Chou:
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation. IEEE Trans. Vis. Comput. Graph. 26(1): 34-44 (2020) - [j5]Piyush Chawla, Subhashis Hazarika, Han-Wei Shen:
Token-wise sentiment decomposition for ConvNet: Visualizing a sentiment classifier. Vis. Informatics 4(2): 132-141 (2020) - [c4]Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan M. Urban:
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. IEEE VIS (Short Papers) 2020: 41-45 - [i3]Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan M. Urban:
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. CoRR abs/2008.13306 (2020)
2010 – 2019
- 2019
- [j4]Subhashis Hazarika, Soumya Dutta, Han-Wei Shen, Jen-Ping Chen:
CoDDA: A Flexible Copula-based Distribution Driven Analysis Framework for Large-Scale Multivariate Data. IEEE Trans. Vis. Comput. Graph. 25(1): 1214-1224 (2019) - [j3]Junpeng Wang, Subhashis Hazarika, Cheng Li, Han-Wei Shen:
Visualization and Visual Analysis of Ensemble Data: A Survey. IEEE Trans. Vis. Comput. Graph. 25(9): 2853-2872 (2019) - [i2]Subhashis Hazarika, Haoyu Li, Ko-Chih Wang, Han-Wei Shen, Ching-Shan Chou:
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation. CoRR abs/1904.09044 (2019) - [i1]Qun Liu, Subhashis Hazarika, John M. Patchett, James Paul Ahrens, Ayan Biswas:
Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations. CoRR abs/1912.03587 (2019) - 2018
- [j2]Subhashis Hazarika, Ayan Biswas, Soumya Dutta, Han-Wei Shen:
Information Guided Exploration of Scalar Values and Isocontours in Ensemble Datasets. Entropy 20(7): 540 (2018) - [j1]Subhashis Hazarika, Ayan Biswas, Han-Wei Shen:
Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models. IEEE Trans. Vis. Comput. Graph. 24(1): 934-943 (2018) - 2016
- [c3]Subhashis Hazarika, Soumya Dutta, Han-Wei Shen:
Visualizing the variations of ensemble of isosurfaces. PacificVis 2016: 209-213 - 2015
- [c2]Subhashis Hazarika, Tzu-Hsuan Wei, Rajaditya Mukherjee, Alexandru Barbur:
Visualizing the life and anatomy of dark matter. SciVis 2015: 101-106 - 2012
- [c1]Sanjib Sadhu, Subhashis Hazarika, Kapil Kumar Jain, Saurav Basu, Tanmay De:
GRP_CH Heuristic for Generating Random Simple Polygon. IWOCA 2012: 293-302
Coauthor Index
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