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Publication search results
found 64 matches
- 2024
- Joy Kitson, Ian J. Costello, Jiangzhuo Chen, Diego Jiménez, Stefan Hoops, Henning S. Mortveit, Esteban Meneses, Jae-Seung Yeom, Madhav V. Marathe, Abhinav Bhatele:
A Large-Scale Epidemic Simulation Framework for Realistic Social Contact Networks. CoRR abs/2401.08124 (2024) - 2023
- Parantapa Bhattacharya
, Jiangzhuo Chen, Stefan Hoops, Dustin Machi, Bryan L. Lewis, Srinivasan Venkatramanan
, Mandy L. Wilson, Brian Klahn, Aniruddha Adiga, Benjamin Hurt
, Joseph Outten, Abhijin Adiga, Andrew S. Warren
, Young Yun Baek, Przemyslaw J. Porebski
, Achla Marathe, Dawen Xie, Samarth Swarup, Anil Vullikanti, Henning S. Mortveit
, Stephen G. Eubank, Christopher L. Barrett, Madhav Vinayak Marathe
:
Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support. Int. J. High Perform. Comput. Appl. 37(1): 4-27 (2023) - Galen Harrison
, Amro Alabsi Aljundi
, Jiangzhuo Chen
, S. S. Ravi
, Anil Kumar S. Vullikanti
, Madhav V. Marathe
, Abhijin Adiga
:
Identifying Complicated Contagion Scenarios from Cascade Data. KDD 2023: 4135-4145 - Galen Harrison, Przemyslaw J. Porebski, Jiangzhuo Chen, Mandy L. Wilson, Henning S. Mortveit, Parantapa Bhattacharya, Dawen Xie, Stefan Hoops, Anil Vullikanti, Li Xiong, James Joshi, Madhav V. Marathe:
Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities. TPS-ISA 2023: 23-33 - Amro Alabsi Aljundi, Galen Harrison, Jiangzhuo Chen, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti, Abhijin Adiga:
A Network-based Analytics Framework for High-Resolution Agent-based Epidemic Simulation Ensembles. WSC 2023: 3741-3752 - 2022
- Lijing Wang
, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav V. Marathe:
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting. AAAI 2022: 12191-12199 - Jiangzhuo Chen, Stefan Hoops, Achla Marathe, Henning S. Mortveit
, Bryan L. Lewis, Srinivasan Venkatramanan, Arash Haddadan, Parantapa Bhattacharya, Abhijin Adiga, Anil Vullikanti, Aravind Srinivasan, Mandy L. Wilson, Gal Ehrlich, Maier Fenster, Stephen G. Eubank, Christopher L. Barrett, Madhav V. Marathe:
Effective Social Network-Based Allocation of COVID-19 Vaccines. KDD 2022: 4675-4683 - 2021
- Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav V. Marathe, Rajesh Sundaresan, Milind Tambe:
Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway. AAMAS 2021: 1680-1682 - Parantapa Bhattacharya, Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan L. Lewis
, Henning S. Mortveit, Srinivasan Venkatramanan, Mandy L. Wilson, Achla Marathe, Przemyslaw J. Porebski, Brian Klahn, Joseph Outten, Anil Vullikanti, Dawen Xie, Abhijin Adiga, Shawn Brown, Christopher L. Barrett, Madhav V. Marathe:
AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. IEEE BigData 2021: 1566-1574 - Dustin Machi, Parantapa Bhattacharya, Stefan Hoops, Jiangzhuo Chen, Henning S. Mortveit, Srinivasan Venkatramanan, Bryan L. Lewis, Mandy L. Wilson, Arindam Fadikar, Tom Maiden, Christopher L. Barrett, Madhav V. Marathe:
Scalable Epidemiological Workflows to Support COVID-19 Planning and Response. IPDPS 2021: 639-650 - Stefan Hoops, Jiangzhuo Chen, Abhijin Adiga, Bryan L. Lewis
, Henning S. Mortveit, Hannah Baek, Mandy L. Wilson, Dawen Xie, Samarth Swarup, Srinivasan Venkatramanan, Justin Crow, Elena Diskin, Seth Levine, Helen Tazelaar, Brooke Rossheim, Chris Ghaemmaghami, Rebecca Early, Chris Barrett, Madhav V. Marathe, Carter Price:
High Performance Agent-Based Modeling to Study Realistic Contact Tracing Protocols. WSC 2021: 1-12 - 2020
- Liang Zhao, Jiangzhuo Chen, Feng Chen, Fang Jin
, Wei Wang, Chang-Tien Lu
, Naren Ramakrishnan
:
Online flu epidemiological deep modeling on disease contact network. GeoInformatica 24(2): 443-475 (2020) - Lijing Wang
, Jiangzhuo Chen, Madhav V. Marathe:
TDEFSI: Theory-guided Deep Learning-based Epidemic Forecasting with Synthetic Information. ACM Trans. Spatial Algorithms Syst. 6(3): 15:1-15:39 (2020) - Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe:
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. IEEE BigData 2020: 3846-3855 - Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav V. Marathe:
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. NeurIPS 2020 - Lijing Wang, Jiangzhuo Chen, Madhav V. Marathe:
TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information. CoRR abs/2002.04663 (2020) - Lijing Wang
, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe:
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. CoRR abs/2010.14491 (2020) - Lijing Wang
, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav V. Marathe:
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. CoRR abs/2011.06796 (2020) - Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav V. Marathe, Rajesh Sundaresan, Milind Tambe:
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway. CoRR abs/2012.12839 (2020) - 2019
- Srinivasan Venkatramanan
, Jiangzhuo Chen, Arindam Fadikar
, Sandeep Gupta, Dave Higdon, Bryan L. Lewis
, Madhav V. Marathe, Henning S. Mortveit
, Anil Vullikanti:
Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints. PLoS Comput. Biol. 15(9) (2019) - Lijing Wang
, Jiangzhuo Chen, Achla Marathe:
A framework for discovering health disparities among cohorts in an influenza epidemic. World Wide Web 22(6): 2997-3020 (2019) - Lijing Wang
, Jiangzhuo Chen, Madhav V. Marathe:
DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information. AAAI 2019: 9607-9612 - Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka
, Endre T. Somogyi, Madhav V. Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha
:
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. IPDPS Workshops 2019: 422-429 - Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre T. Somogyi, Madhav V. Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha:
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. CoRR abs/1902.10810 (2019) - 2018
- Arindam Fadikar
, Dave Higdon, Jiangzhuo Chen, Bryan L. Lewis, Srinivasan Venkatramanan
, Madhav V. Marathe:
Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation. SIAM/ASA J. Uncertain. Quantification 6(4): 1685-1706 (2018) - 2017
- Md Hasanuzzaman Bhuiyan
, Maleq Khan, Jiangzhuo Chen, Madhav V. Marathe:
Parallel algorithms for switching edges in heterogeneous graphs. J. Parallel Distributed Comput. 104: 19-35 (2017) - Shuyu Chu, Samarth Swarup, Jiangzhuo Chen, Achla Marathe:
A Comparison of Targeted Layered Containment Strategies for a Flu Pandemic in Three US Cities. AAMAS 2017: 1499-1501 - Lijing Wang
, Jin-Hee Cho, Ing-Ray Chen, Jiangzhuo Chen:
PDGM: Percolation-based directed graph matching in social networks. ICC 2017: 1-7 - Farzaneh Tabataba, Bryan L. Lewis, Milad Hosseinipour, Foroogh S. Tabataba, Srinivasan Venkatramanan, Jiangzhuo Chen, Dave Higdon, Madhav V. Marathe:
Epidemic Forecasting Framework Combining Agent-Based Models and Smart Beam Particle Filtering. ICDM 2017: 1099-1104 - Srinivasan Venkatramanan, Jiangzhuo Chen, Sandeep Gupta, Bryan L. Lewis, Madhav V. Marathe, Henning S. Mortveit
, Anil Vullikanti:
Spatio-Temporal Optimization of Seasonal Vaccination Using a Metapopulation Model of Influenza. ICHI 2017: 134-143
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