most citedLearning-to-Dispatch: Reinforcement Learning Based Flight Planning under Emergency

2 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2021

Blockchain Enabled Secure Authentication for Unmanned Aircraft Systems

Yongxin Liu, Jian Wang, Yingjie Chen +5

The integration of air and ground smart vehicles is becoming a new paradigm of future transportation. A decent number of smart unmanned vehicles or UAS will be sharing the national…

cs.LG20212 cited

Zero-bias Deep Neural Network for Quickest RF Signal Surveillance

Yongxin Liu, Yingjie Chen, Jian Wang +3

The Internet of Things (IoT) is reshaping modern society by allowing a decent number of RF devices to connect and share information through RF channels. However, such an open natur…

cs.LG2021

Federated Variational Learning for Anomaly Detection in Multivariate Time Series

Kai Zhang, Yushan Jiang, Lee Seversky +3

Anomaly detection has been a challenging task given high-dimensional multivariate time series data generated by networked sensors and actuators in Cyber-Physical Systems (CPS). Bes…

cs.MA20212 cited

Learning-to-Dispatch: Reinforcement Learning Based Flight Planning under Emergency

Kai Zhang, Yupeng Yang, Chengtao Xu +2

The effectiveness of resource allocation under emergencies especially hurricane disasters is crucial. However, most researchers focus on emergency resource allocation in a ground t…

cs.LG2021

Spatio-Temporal Data Mining for Aviation Delay Prediction

Kai Zhang, Yushan Jiang, Dahai Liu +1

To accommodate the unprecedented increase of commercial airlines over the next ten years, the Next Generation Air Transportation System (NextGen) has been implemented in the USA th…