Lijing Wang

Orcid: 0000-0002-0836-9190

Affiliations:
  • University of Virginia, Biocomplexity Institute & Initiative, Charlottesville, VA, USA
  • Virginia Tech, Biocomplexity Institute, Arlington, VA, US


According to our database1, Lijing Wang authored at least 14 papers between 2017 and 2023.

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Bibliography

2023
Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources.
Proceedings of the IEEE International Conference on Big Data, 2022

CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
TDEFSI: Theory-guided Deep Learning-based Epidemic Forecasting with Synthetic Information.
ACM Trans. Spatial Algorithms Syst., 2020

Wisdom of the Ensemble: Improving Consistency of Deep Learning Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
A framework for discovering health disparities among cohorts in an influenza epidemic.
World Wide Web, 2019

Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction.
CoRR, 2019

DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Social Media based Simulation Models for Understanding Disease Dynamics.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
PDGM: Percolation-based directed graph matching in social networks.
Proceedings of the IEEE International Conference on Communications, 2017


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