103 citations · 183 across the 18 of their papers we have counts for
18 papers
Enabling Emergency Communication via Semantic Radar-Centric ISAC
Mohaimin Al Barat, Chaoyu Zhang, Hexuan Yu +3
Combat aircraft and other modern military platforms field two co-located RF assets: a radar for sensing and a dedicated radio for communication. In contested battlefield environmen…
Location Privacy and Spectrum Efficiency Enhancement in Spectrum Sharing Systems
Long Jiao, Yao Ge, Kai Zeng +1
In this work, we investigate the benefits of secondary user (SU) network beamforming on improving primary user (PU) location privacy in spectrum sharing systems, where the beamform…
Improving Dither Modulation based Robust Steganography by Overflow Suppression
Kai Zeng, Kejiang Chen, Yaofei Wang +2
Nowadays, people are sharing their pictures on online social networks (OSNs), so OSN is a good platform for Steganography. But OSNs usually perform JPEG compression on the uploaded…
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation
Yuxing Han, Ziniu Wu, Peizhi Wu +11
Cardinality estimation (CardEst) plays a significant role in generating high-quality query plans for a query optimizer in DBMS. In the last decade, an increasing number of advanced…
A Unified Transferable Model for ML-Enhanced DBMS
Ziniu Wu, Pei Yu, Peilun Yang +6
Recently, the database management system (DBMS) community has witnessed the power of machine learning (ML) solutions for DBMS tasks. Despite their promising performance, these exis…
A Pluggable Learned Index Method via Sampling and Gap Insertion
Yaliang Li, Daoyuan Chen, Bolin Ding +2
Database indexes facilitate data retrieval and benefit broad applications in real-world systems. Recently, a new family of index, named learned index, is proposed to learn hidden y…
FSPN: A New Class of Probabilistic Graphical Model
Ziniu Wu, Rong Zhu, Andreas Pfadler +5
We introduce factorize sum split product networks (FSPNs), a new class of probabilistic graphical models (PGMs). FSPNs are designed to overcome the drawbacks of existing PGMs in te…
Consumer UAV Cybersecurity Vulnerability Assessment Using Fuzzing Tests
David Rudo, Kai Zeng
Unmanned Aerial Vehicles (UAVs) are remote-controlled vehicles capable of flight and are present in a variety of environments from military operations to domestic enjoyment. These…
Intelligent Policing Strategy for Traffic Violation Prevention
Monireh Dabaghchian, Amir Alipour-Fanid, Kai Zeng
Police officer presence at an intersection discourages a potential traffic violator from violating the law. It also alerts the motorists' consciousness to take precaution and follo…
Physical Layer Key Generation in 5G Wireless Networks
Long Jiao, Ning Wang, Pu Wang +3
The bloom of the fifth generation (5G) communication and beyond serves as a catalyst for physical layer key generation techniques. In 5G communications systems, many challenges in…
Multi-stage Deep Classifier Cascades for Open World Recognition
Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu +4
At present, object recognition studies are mostly conducted in a closed lab setting with classes in test phase typically in training phase. However, real-world problem is far more…
Machine Learning-Based Delay-Aware UAV Detection and Operation Mode Identification over Encrypted Wi-Fi Traffic
Amir Alipour-Fanid, Monireh Dabaghchian, Ning Wang +3
The consumer UAV (unmanned aerial vehicle) market has grown significantly over the past few years. Despite its huge potential in spurring economic growth by supporting various appl…
A Survey on Simulation Tools and Testbeds for Cognitive Radio Networks Study
Qi Dong, Yu Chen, Xiaohua Li +1
Efficient utility of radio spectrum has been a hot topic as the wireless communication spectrum is a precious resource. The past decade has witnessed intensive research in spectrum…
Explore Recurrent Neural Network for PUE Attack Detection in Practical CRN Models
Qi Dong, Yu Chen, Xiaohua Li +1
The proliferation of the Internet of Things (IoTs) and pervasive use of many different types of mobile computing devices make wireless communication spectrum a precious resource. I…
An Adaptive Primary User Emulation Attack Detection Mechanism for Cognitive Radio Networks
Qi Dong, Yu Chen, Xiaohua Li +1
The proliferation of advanced information technologies (IT), especially the wide spread of Internet of Things (IoTs) makes wireless spectrum a precious resource. Cognitive radio ne…
Who is Smarter? Intelligence Measure of Learning-based Cognitive Radios
Monireh Dabaghchian, Amir Alipour-Fanid, Songsong Liu +3
Cognitive radio (CR) is considered as a key enabling technology for dynamic spectrum access to improve spectrum efficiency. Although the CR concept was invented with the core idea…
Platoon Stability and Safety Analysis of Cooperative Adaptive Cruise Control under Wireless Rician Fading Channels and Jamming Attacks
Amir Alipour-Fanid, Monireh Dabaghchian, Kai Zeng
Cooperative Adaptive Cruise Control (CACC) is considered as a key enabling technology to automatically regulate the inter-vehicle distances in a vehicle platoon to improve traffic…
Online Learning with Randomized Feedback Graphs for Optimal PUE Attacks in Cognitive Radio Networks
Monireh Dabaghchian, Amir Alipour-Fanid, Kai Zeng +2
In a cognitive radio network, a secondary user learns the spectrum environment and dynamically accesses the channel where the primary user is inactive. At the same time, a primary…