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Lijing Wang
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Modeling of future COVID-19 cases, hospitalizations, and deaths, by vaccination rates and nonpharmaceutical intervention scenarios—United States, April–September 2021
RK Borchering
MMWR. Morbidity and Mortality Weekly Report 70, 2021
1502021
Cola-gnn: Cross-location attention based graph neural networks for long-term ili prediction
S Deng, S Wang, H Rangwala, L Wang, Y Ning
Proceedings of the 29th ACM international conference on information …, 2020
109*2020
DEFSI: Deep learning based epidemic forecasting with synthetic information
L Wang, J Chen, M Marathe
Proceedings of the AAAI conference on artificial intelligence 33 (01), 9607-9612, 2019
782019
Causalgnn: Causal-based graph neural networks for spatio-temporal epidemic forecasting
L Wang, A Adiga, J Chen, A Sadilek, S Venkatramanan, M Marathe
Proceedings of the AAAI conference on artificial intelligence 36 (11), 12191 …, 2022
492022
Forecasting influenza activity using machine-learned mobility map
S Venkatramanan, A Sadilek, A Fadikar, CL Barrett, M Biggerstaff, J Chen, ...
Nature communications 12 (1), 726, 2021
482021
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandmann, ...
Elife 12, e81916, 2023
412023
Tdefsi: Theory-guided deep learning-based epidemic forecasting with synthetic information
L Wang, J Chen, M Marathe
ACM Transactions on Spatial Algorithms and Systems (TSAS) 6 (3), 1-39, 2020
382020
Using mobility data to understand and forecast covid19 dynamics
L Wang, X Ben, A Adiga, A Sadilek, A Tendulkar, S Venkatramanan, ...
MedRxiv, 2020
282020
All models are useful: Bayesian ensembling for robust high resolution covid-19 forecasting
A Adiga, L Wang, B Hurt, A Peddireddy, P Porebski, S Venkatramanan, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
262021
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting.
L Wang, A Adiga, S Venkatramanan, J Chen, B Lewis, M Marathe
IEEE BigData 2020 Workshop on Data Science in Medicine and Healthcare, 2020
222020
Interplay of global multi-scale human mobility, social distancing, government interventions, and COVID-19 dynamics
A Adiga, L Wang, A Sadilek, A Tendulkar, S Venkatramanan, A Vullikanti, ...
medRxiv, 2020.06. 05.20123760, 2020
182020
Efficacy of information in mineral exploration drilling
J Caers, C Scheidt, Z Yin, L Wang, T Mukerji, K House
Natural Resources Research 31 (3), 1157-1173, 2022
122022
Social media based simulation models for understanding disease dynamics
T Hua, CK Reddy, L Zhang, L Wang, L Zhao, CT Lu, N Ramakrishnan
Proceedings of the Twenty-Seventh International Joint Conference on …, 2018
122018
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway
A Talekar, S Shriram, N Vaidhiyan, G Aggarwal, J Chen, ...
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
92021
A framework for discovering health disparities among cohorts in an influenza epidemic
L Wang, J Chen, A Marathe
World Wide Web 22 (6), 2997-3020, 2019
82019
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models.
L Wang, D Ghosh, MG Diaz, A Farahat, M Alam, C Gupta, J Chen, ...
Advances in Neural Information Processing Systems 33, 19750--19761, 2020
72020
Multimodeling approach to evaluating the efficacy of layering pharmaceutical and nonpharmaceutical interventions for influenza pandemics
PV Prasad, MK Steele, C Reed, LA Meyers, Z Du, R Pasco, ...
Proceedings of the National Academy of Sciences 120 (28), e2300590120, 2023
42023
Enhancing COVID-19 ensemble forecasting model performance using auxiliary data sources
A Adiga, G Kaur, B Hurt, L Wang, P Porebski, S Venkatramanan, B Lewis, ...
2022 IEEE International Conference on Big Data (Big Data), 1594-1603, 2022
42022
AI techniques for forecasting epidemic dynamics: Theory and practice
A Adiga, B Lewis, S Levin, MV Marathe, HV Poor, SS Ravi, ...
Artificial Intelligence in Covid-19, 193-228, 2022
42022
Ensemble-based fine-tuning strategy for temporal relation extraction from the clinical narrative
L Wang, T Miller, S Bethard, G Savova
Proceedings of the 4th Clinical Natural Language Processing Workshop, 103-108, 2022
32022
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