6 papers
Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning
Long H. Nguyen, Zhenhe Pan, Opeyemi Openiyi +3
A robust model for time series forecasting is highly important in many domains, including but not limited to financial forecast, air temperature and electricity consumption. To imp…
A Multi-variable Stacked Long-Short Term Memory Network for Wind Speed Forecasting
Sisheng Liang, Long Nguyen, Fang Jin
Precisely forecasting wind speed is essential for wind power producers and grid operators. However, this task is challenging due to the stochasticity of wind speed. To accurately p…
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction
Long Nguyen, Jia Zhen, Zhe Lin +4
Understanding and accurately predicting within-field spatial variability of crop yield play a key role in site-specific management of crop inputs such as irrigation water and ferti…
Predicting Opioid Relapse Using Social Media Data
Zhou Yang, Long Nguyen, Fang Jin
Opioid addiction is a severe public health threat in the U.S, causing massive deaths and many social problems. Accurate relapse prediction is of practical importance for recovering…
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning
Long Nguyen, Zhou Yang, Jiazhen Zhu +2
A crucial and time-sensitive task when any disaster occurs is to rescue victims and distribute resources to the right groups and locations. This task is challenging in populated ur…
Forecasting People's Needs in Hurricane Events from Social Network
Long Nguyen, Zhou Yang, Jia Li +2
Social networks can serve as a valuable communication channel for calls for help, offering assistance, and coordinating rescue activities in disaster. Social networks such as Twitt…