Jiangzhuo Chen

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 32

Top Topics

Parallel Algorithm

Situation Assessment

Multiple Data Sources

Infectious Disease

Top Venues

Publications

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 (2024)
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)
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) (2023)
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)
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)
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)
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)
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)
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)
Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav Marathe, Rajesh Sundaresan, Milind Tambe
Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway. AAMAS (2021)
Parantapa Bhattacharya, Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan L. Lewis, Henning S. Mortveit, Srinivasan Venkatramanan, Mandy L. Wilson, Achla Marathe, Przemyslaw Porebski, Brian Klahn, Joseph Outten, Anil Vullikanti, Dawen Xie, Abhijin Adiga, Shawn Brown, Christopher L. Barrett, Madhav Marathe
AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. IEEE BigData (2021)
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav Marathe
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. IEEE BigData (2020)
Lijing Wang, Jiangzhuo Chen, Madhav Marathe
TDEFSI: Theory-guided Deep Learning-based Epidemic Forecasting with Synthetic Information. ACM Trans. Spatial Algorithms Syst. 6 (3) (2020)
Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav Marathe, Rajesh Sundaresan, Milind Tambe
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway. CoRR (2020)
Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav Marathe
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. NeurIPS (2020)
Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav Marathe
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. CoRR (2020)
Lijing Wang, Jiangzhuo Chen, Madhav Marathe
TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information. CoRR (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) (2020)
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav Marathe
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. CoRR (2020)
Lijing Wang, Jiangzhuo Chen, Achla Marathe
A framework for discovering health disparities among cohorts in an influenza epidemic. World Wide Web 22 (6) (2019)
Srinivasan Venkatramanan, Jiangzhuo Chen, Arindam Fadikar, Sandeep Gupta, Dave Higdon, Bryan L. Lewis, Madhav 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, Madhav Marathe
DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information. AAAI (2019)
Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre T. Somogyi, Madhav Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. CoRR (2019)
Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre T. Somogyi, Madhav Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. IPDPS Workshops (2019)
Arindam Fadikar, Dave Higdon, Jiangzhuo Chen, Bryan L. Lewis, Srinivasan Venkatramanan, Madhav Marathe
Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation. SIAM/ASA J. Uncertain. Quantification 6 (4) (2018)
Farzaneh Tabataba, Bryan L. Lewis, Milad Hosseinipour, Foroogh S. Tabataba, Srinivasan Venkatramanan, Jiangzhuo Chen, Dave Higdon, Madhav Marathe
Epidemic Forecasting Framework Combining Agent-Based Models and Smart Beam Particle Filtering. ICDM (2017)
Farzaneh Sadat Tabataba, Prithwish Chakraborty, Naren Ramakrishnan, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe
A Framework for Evaluating Epidemic Forecasts. CoRR (2017)
Lijing Wang, Jin-Hee Cho, Ing-Ray Chen, Jiangzhuo Chen
PDGM: Percolation-based directed graph matching in social networks. ICC (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)
Srinivasan Venkatramanan, Jiangzhuo Chen, Sandeep Gupta, Bryan L. Lewis, Madhav Marathe, Henning S. Mortveit, Anil Vullikanti
Spatio-Temporal Optimization of Seasonal Vaccination Using a Metapopulation Model of Influenza. ICHI (2017)
Md Hasanuzzaman Bhuiyan, Maleq Khan, Jiangzhuo Chen, Madhav V. Marathe
Parallel algorithms for switching edges in heterogeneous graphs. J. Parallel Distributed Comput. 104 (2017)
Jiangzhuo Chen, V. S. Anil Kumar, Madhav V. Marathe, Ravi Sundaram, Mayur Thakur, Sunil Thulasidasan
A study of the structure and vulnerabilities of metropolitan area networks. COMSNETS (2016)
Liang Zhao, Jiangzhuo Chen, Feng Chen, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan
SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning. ICDM (2015)
Suruchi Deodhar, Jiangzhuo Chen, Mandy L. Wilson, Keith R. Bisset, Christopher L. Barrett, Madhav V. Marathe
EpiCaster: an integrated web application for situation assessment and forecasting of global epidemics. BCB (2015)
Huadong Xia, Kalyani Nagaraj, Jiangzhuo Chen, Madhav V. Marathe
Synthesis of a high resolution social contact network for Delhi with application to pandemic planning. Artif. Intell. Medicine 65 (2) (2015)
Suruchi Deodhar, Jiangzhuo Chen, Mandy L. Wilson, Manikandan Soundarapandian, Keith R. Bisset, Bryan L. Lewis, Christopher L. Barrett, Madhav V. Marathe
Flu Caster: A Pervasive Web Application for High Resolution Situation Assessment and Forecasting of Flu Outbreaks. ICHI (2015)
Richard J. Beckman, Keith R. Bisset, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe, Paula Elaine Stretz
ISIS: a networked-epidemiology based pervasive web app for infectious disease pandemic planning and response. KDD (2014)
Keith R. Bisset, Jiangzhuo Chen, Suruchi Deodhar, Xizhou Feng, Yifei Ma, Madhav V. Marathe
Indemics: An interactive high-performance computing framework for data-intensive epidemic modeling. ACM Trans. Model. Comput. Simul. 24 (1) (2014)
Suruchi Deodhar, Keith R. Bisset, Jiangzhuo Chen, Yifei Ma, Madhav V. Marathe
An Interactive, Web-Based High Performance Modeling Environment for Computational Epidemiology. ACM Trans. Manag. Inf. Syst. 5 (2) (2014)
Md Hasanuzzaman Bhuiyan, Jiangzhuo Chen, Maleq Khan, Madhav V. Marathe
Fast Parallel Algorithms for Edge-Switching to Achieve a Target Visit Rate in Heterogeneous Graphs. ICPP (2014)
Prithwish Chakraborty, Pejman Khadivi, Bryan L. Lewis, Aravindan Mahendiran, Jiangzhuo Chen, Patrick Butler, Elaine O. Nsoesie, Sumiko R. Mekaru, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan
Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions. SDM (2014)
Huadong Xia, Jiangzhuo Chen, Madhav V. Marathe, Samarth Swarup
Comparison and validation of synthetic social contact networks for epidemic modeling. AAMAS (2014)
Christopher L. Barrett, Keith R. Bisset, Jiangzhuo Chen, Stephen G. Eubank, Bryan L. Lewis, V. S. Anil Kumar, Madhav V. Marathe, Henning S. Mortveit
Interactions among human behavior, social networks, and societal infrastructures: A Case Study in Computational Epidemiology. Fundamental Problems in Computing (2013)
Christopher L. Barrett, Keith R. Bisset, Shridhar Chandan, Jiangzhuo Chen, Youngyun Chungbaek, Stephen G. Eubank, C. Yaman Evrenosoglu, Bryan L. Lewis, Kristian Lum, Achla Marathe, Madhav V. Marathe, Henning S. Mortveit, Nidhi Kiranbhai Parikh, Arun G. Phadke, Jeffrey H. Reed, Caitlin M. Rivers, Sudip Saha, Paula Elaine Stretz, Samarth Swarup, James S. Thorp, Anil Vullikanti, Dawen Xie
Planning and response in the aftermath of a large crisis: An agent-based informatics framework. WSC (2013)
Huadong Xia, Kalyani Nagaraj, Jiangzhuo Chen, Madhav V. Marathe
Evaluating Strategies for Pandemic Response in Delhi Using Realistic Social Networks. ICHI (2013)
Huadong Xia, Jiangzhuo Chen, Madhav V. Marathe, Henning S. Mortveit, Marcel Salathé
Synthesizing Social Proximity Networks by Combining Subjective Surveys with Digital Traces. CSE (2013)
Huadong Xia, Christopher L. Barrett, Jiangzhuo Chen, Madhav V. Marathe
Computational Methods for Testing Adequacy and Quality of Massive Synthetic Proximity Social Networks. CSE (2013)
Shaojuan Liao, Yifei Ma, Jiangzhuo Chen, Achla Marathe
Paid Sick-Leave: Is It a Good Way to Control Epidemics? Complex (2012)
Christopher L. Barrett, Richard J. Beckman, Keith R. Bisset, Jiangzhuo Chen, Thomas M. DuBois, Stephen G. Eubank, V. S. Anil Kumar, Bryan L. Lewis, Madhav V. Marathe, Aravind Srinivasan, Paula Elaine Stretz
Optimizing epidemic protection for socially essential workers. IHI (2012)
Suruchi Deodhar, Keith R. Bisset, Jiangzhuo Chen, Yifei Ma, Madhav V. Marathe
Enhancing user-productivity and capability through integration of distinct software in epidemiological systems. IHI (2012)
Keith R. Bisset, Jiangzhuo Chen, Chris J. Kuhlman, V. S. Anil Kumar, Madhav V. Marathe
Interaction-based HPC modeling of social, biological, and economic contagions over large networks. WSC (2011)
Huadong Xia, Jiangzhuo Chen, Madhav V. Marathe, Henning S. Mortveit
Synthesis and Refinement of Detailed Subnetworks in a Social Contact Network for Epidemic Simulations. SBP (2011)
Yifei Ma, Keith R. Bisset, Jiangzhuo Chen, Suruchi Deodhar, Madhav V. Marathe
Efficient implementation of complex interventions in large scale epidemic simulations. WSC (2011)
Yifei Ma, Keith R. Bisset, Jiangzhuo Chen, Suruchi Deodhar, Madhav V. Marathe
Formal Specification and Experimental Analysis of an Interactive Epidemic Simulation Framework. HPCC (2011)
Jiangzhuo Chen, Achla Marathe, Madhav V. Marathe
Coevolution of Epidemics, Social Networks, and Individual Behavior: A Case Study. SBP (2010)
Keith R. Bisset, Jiangzhuo Chen, Xizhou Feng, Yifei Ma, Madhav V. Marathe
Indemics: an interactive data intensive framework for high performance epidemic simulation. ICS (2010)
Keith R. Bisset, Jiangzhuo Chen, Xizhou Feng, V. S. Anil Kumar, Madhav V. Marathe
EpiFast: a fast algorithm for large scale realistic epidemic simulations on distributed memory systems. ICS (2009)
Karla Atkins, Jiangzhuo Chen, V. S. Anil Kumar, Achla Marathe
The structure of electrical networks: a graph theory based analysis. Int. J. Crit. Infrastructures 5 (3) (2009)
Jiangzhuo Chen, Robert D. Kleinberg, László Lovász, Rajmohan Rajaraman, Ravi Sundaram, Adrian Vetta
(Almost) Tight bounds and existence theorems for single-commodity confluent flows. J. ACM 54 (4) (2007)
Jiangzhuo Chen, Rajmohan Rajaraman, Ravi Sundaram
Meet and merge: Approximation algorithms for confluent flows. J. Comput. Syst. Sci. 72 (3) (2006)
Jiangzhuo Chen, Ravi Sundaram, Madhav V. Marathe, Rajmohan Rajaraman
The Confluent Capacity of the Internet: Congestion vs. Dilation. ICDCS (2006)
Jiangzhuo Chen, Lujun Jia, Xin Liu, Guevara Noubir, Ravi Sundaram
Minimum energy accumulative routing in wireless networks. INFOCOM (2005)
Jiangzhuo Chen, Robert D. Kleinberg, László Lovász, Rajmohan Rajaraman, Ravi Sundaram, Adrian Vetta
(Almost) tight bounds and existence theorems for confluent flows. STOC (2004)
Jiangzhuo Chen, Rajmohan Rajaraman, Ravi Sundaram
Meet and merge: approximation algorithms for confluent flows. STOC (2003)