Wang, Lijing

7 publications

NeurIPSW 2023 Exploring Graph Structure in Graph Neural Networks for Epidemic Forecasting Ching-Hao Fan, Sai Supriya Varugunda, Lijing Wang

AAAI 2023 Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts Aniruddha Adiga, Gursharn Kaur, Lijing Wang, Benjamin Hurt, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe

AAAI 2022 CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav V. Marathe

NeurIPS 2020 Wisdom of the Ensemble: Improving Consistency of Deep Learning Models Lijing Wang, Dipanjan Ghosh, Maria Gonzalez Diaz, Ahmed Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav Marathe

AAAI 2019 DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information Lijing Wang, Jiangzhuo Chen, Madhav V. Marathe

CVPRW 2019 Semantic Segmentation of Crop Type in Africa: A Novel Dataset and Analysis of Deep Learning Methods Rose M. Rustowicz, Robin Cheong, Lijing Wang, Stefano Ermon, Marshall Burke, David B. Lobell

IJCAI 2018 Social Media Based Simulation Models for Understanding Disease Dynamics Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan