34 citations · 71 across the 11 of their papers we have counts for
11 papers
Google Trends Analysis of COVID-19
Hoang Long Nguyen, Zhenhe Pan, Hashim Abu-gellban +2
The World Health Organization (WHO) announced that COVID-19 was a pandemic disease on the 11th of March as there were 118K cases in several countries and territories. Numerous rese…
COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform
Zhou Yang, Jiwei Xu, Zhenhe Pan +1
The Coronavirus Disease 2019 (COVID-19) has now become a pandemic, inflicting millions of people and causing tens of thousands of deaths. To better understand the dynamics of COVID…
Addict Free -- A Smart and Connected Relapse Intervention Mobile App
Zhou Yang, Vinay Jayachandra Reddy, Rashmi Kesidi +1
It is widely acknowledged that addiction relapse is highly associated with spatial-temporal factors such as some specific places or time periods. Current studies suggest that those…
Discovering Opioid Use Patterns from Social Media for Relapse Prevention
Zhou Yang, Spencer Bradshaw, Rattikorn Hewett +1
The United States is currently experiencing an unprecedented opioid crisis, and opioid overdose has become a leading cause of injury and death. Effective opioid addiction recovery…
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…
Data Centers Job Scheduling with Deep Reinforcement Learning
Sisheng Liang, Zhou Yang, Fang Jin +1
Efficient job scheduling on data centers under heterogeneous complexity is crucial but challenging since it involves the allocation of multi-dimensional resources over time and spa…
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…