325 citations · 917 across the 21 of their papers we have counts for
23 papers
GraphDAC: A Graph-Analytic Approach to Dynamic Airspace Configuration
Ke Feng, Dahai Liu, Yongxin Liu +2
The current National Airspace System (NAS) is reaching capacity due to increased air traffic, and is based on outdated pre-tactical planning. This study proposes a more dynamic air…
Multi-Scale U-Shape MLP for Hyperspectral Image Classification
Moule Lin, Weipeng Jing, Donglin Di +2
Hyperspectral images have significant applications in various domains, since they register numerous semantic and spatial information in the spectral band with spatial variability o…
Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning
Yuntong Zhang, Jingye Xu, Mimi Xie +3
Heart Rate Variability (HRV) measures the variation of the time between consecutive heartbeats and is a major indicator of physical and mental health. Recent research has demonstra…
NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks
Wenkai Tan, Justus Renkhoff, Alvaro Velasquez +7
Deep Learning (DL) and Deep Neural Networks (DNNs) are widely used in various domains. However, adversarial attacks can easily mislead a neural network and lead to wrong decisions.…
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach
Justus Renkhoff, Wenkai Tan, Alvaro Velasquez +7
Deep Learning (DL) is being applied in various domains, especially in safety-critical applications such as autonomous driving. Consequently, it is of great significance to ensure t…
TMHOI: Translational Model for Human-Object Interaction Detection
Lijing Zhu, Qizhen Lan, Alvaro Velasquez +4
Detecting human-object interactions (HOIs) is an intricate challenge in the field of computer vision. Existing methods for HOI detection heavily rely on appearance-based features,…
Communication and Control in Collaborative UAVs: Recent Advances and Future Trends
Shumaila Javaid, Nasir Saeed, Zakria Qadir +4
The recent progress in unmanned aerial vehicles (UAV) technology has significantly advanced UAV-based applications for military, civil, and commercial domains. Nevertheless, the ch…
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…
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…
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…
Learning to Detect: A Data-driven Approach for Network Intrusion Detection
Zachary Tauscher, Yushan Jiang, Kai Zhang +2
With massive data being generated daily and the ever-increasing interconnectivity of the world's Internet infrastructures, a machine learning based intrusion detection system (IDS)…
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…
Hash-MAC-DSDV: Mutual Authentication for Intelligent IoT-Based Cyber-Physical Systems
Muhammad Adil, Mian Ahmad Jan, Spyridon Mastorakis +4
Cyber-Physical Systems (CPS) connected in the form of Internet of Things (IoT) are vulnerable to various security threats, due to the infrastructure-less deployment of IoT devices.…
Class-Incremental Learning for Wireless Device Identification in IoT
Yongxin Liu, Jian Wang, Jianqiang Li +2
Deep Learning (DL) has been utilized pervasively in the Internet of Things (IoT). One typical application of DL in IoT is device identification from wireless signals, namely Non-cr…
Zero-bias Deep Learning Enabled Quick and Reliable Abnormality Detection in IoT
Yongxin Liu, Jian Wang, Jianqiang Li +2
Abnormality detection is essential to the performance of safety-critical and latency-constrained systems. However, as systems are becoming increasingly complicated with a large qua…
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…
Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey
Yongxin Liu, Jian Wang, Jianqiang Li +2
The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a variety of emerging services and applications. However, the presence of rogue IoT device…
geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification
Weipeng Jing, Xianyang Song, Donglin Di +1
In the area of geographic information processing. There are few researches on geographic text classification. However, the application of this task in Chinese is relatively rare. I…
Differential Privacy for Industrial Internet of Things: Opportunities, Applications and Challenges
Bin Jiang, Jianqiang Li, Guanghui Yue +1
The development of Internet of Things (IoT) brings new changes to various fields. Particularly, industrial Internet of Things (IIoT) is promoting a new round of industrial revoluti…
Distant Domain Transfer Learning for Medical Imaging
Shuteng Niu, Meryl Liu, Yongxin Liu +2
Medical image processing is one of the most important topics in the field of the Internet of Medical Things (IoMT). Recently, deep learning methods have carried out state-of-the-ar…
Counter-Unmanned Aircraft System(s) (C-UAS): State of the Art, Challenges and Future Trends
Jian Wang, Yongxin Liu, Houbing Song
Unmanned aircraft systems (UAS), or unmanned aerial vehicles (UAVs), often referred to as drones, have been experiencing healthy growth in the United States and around the world. T…
Zero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) Devices
Yongxin Liu, Jian Wang, Jianqiang Li +4
The Internet of Things (IoT) provides applications and services that would otherwise not be possible. However, the open nature of IoT make it vulnerable to cybersecurity threats. E…
SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images
Jingbo Lin, Weipeng Jing, Houbing Song
High-resolution aerial images have a wide range of applications, such as military exploration, and urban planning. Semantic segmentation is a fundamental method extensively used in…