34 citations · 57 across the 10 of their papers we have counts for
10 papers
Discovering Transmission Dynamics of COVID-19 in China
Zhou Yang, Edward Dougherty, Chen Zhang +2
A comprehensive retrospective analysis of public health interventions, such as large scale testing, quarantining, and contact tracing, can help identify mechanisms most effective i…
MASE: Interpretable NLP Models via Model-Agnostic Saliency Estimation
Zhou Yang, Shunyan Luo, Jiazhen Zhu +1
Deep neural networks (DNNs) have made significant strides in Natural Language Processing (NLP), yet their interpretability remains elusive, particularly when evaluating their intri…
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…
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…