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ORCIDLijing Wang 0001
Person information
- affiliation: University of Virginia, Biocomplexity Institute & Initiative, Charlottesville, VA, USA
- affiliation: Virginia Tech, Biocomplexity Institute, Arlington, VA, US
Other persons with the same name
- Lijing Wang (aka: Li-Jing Wang) — disambiguation page
- Lijing Wang 0002
![[0000-0002-7300-9271]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7300-9271")
— RMIT University, School of Fashion and Textiles, Melbourne, VIC, Australia (and 1 more) - Lijing Wang 0003 — Beijing University of Aeronautics and Astronautics, School of Aeronautic Science and Technique,, Beijing, China
- Lijing Wang 0004 (aka: Li-Jing Wang 0004) — Tsinghua University, Department of Computer Science and Technology, Beijing, China (and 1 more)
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2020 – today
- 2023
[c11]Aniruddha Adiga, Gursharn Kaur, Lijing Wang, Benjamin Hurt, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe:
Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts. AAAI 2023: 15647-15653- 2022
- [c10]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 - [c9]Aniruddha Adiga, Gursharn Kaur, Benjamin Hurt, Lijing Wang, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe:
Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources. IEEE Big Data 2022: 1594-1603 - 2021
- [c8]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 - [c7]Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan Leroy Lewis, Madhav V. Marathe:
All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting. KDD 2021: 2505-2513 - 2020
- [j2]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) - [c6]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 - [c5]Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning:
Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction. CIKM 2020: 245-254 - [c4]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 - [i5]Lijing Wang, Jiangzhuo Chen, Madhav V. Marathe:
TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information. CoRR abs/2002.04663 (2020) - [i4]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) - [i3]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) - [i2]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)
2010 – 2019
- 2019
- [j1]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) - [c3]Lijing Wang, Jiangzhuo Chen, Madhav V. Marathe:
DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information. AAAI 2019: 9607-9612 - [i1]Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning:
Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction. CoRR abs/1912.10202 (2019) - 2018
- [c2]Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan:
Social Media based Simulation Models for Understanding Disease Dynamics. IJCAI 2018: 3797-3804 - 2017
- [c1]Lijing Wang, Jin-Hee Cho, Ing-Ray Chen, Jiangzhuo Chen:
PDGM: Percolation-based directed graph matching in social networks. ICC 2017: 1-7
Coauthor Index
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last updated on 2024-08-05 21:10 CEST by the dblp team
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