1 citations · 1 across the 3 of their papers we have counts for
8 papers
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…
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…
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…