2 citations · 2 across the 23 of their papers we have counts for
24 papers
A multi-center analysis of deep learning methods for video polyp detection and segmentation
Noha Ghatwary, Pedro Chavarias Solano, Mohamed Ramzy Ibrahim +24
Colonic polyps are well-recognized precursors to colorectal cancer (CRC), typically detected during colonoscopy. However, the variability in appearance, location, and size of these…
Leveraging the Power of Ensemble Learning for Secure Low Altitude Economy
Yaoqi Yang, Yong Chen, Jiacheng Wang +3
Low Altitude Economy (LAE) holds immense promise for enhancing societal well-being and driving economic growth. However, this burgeoning field is vulnerable to security threats, pa…
Multi-Agent Collaborative Intrusion Detection for Low-Altitude Economy IoT: An LLM-Enhanced Agentic AI Framework
Hongjuan Li, Hui Kang, Jiahui Li +6
The rapid expansion of low-altitude economy Internet of Things (LAE-IoT) networks has created unprecedented security challenges due to dynamic three-dimensional mobility patterns,…
Low-altitude Multi-UAV-assisted Data Collection and Semantic Forwarding for Post-Disaster Relief
Xiaoya Zheng, Geng Sun, Jiahui Li +5
The low-altitude economy (LAE) is an emerging economic paradigm which fosters integrated development across multiple fields. As a pivotal component of the LAE, low-altitude uncrewe…
Low-Altitude Satellite-AAV Collaborative Joint Mobile Edge Computing and Data Collection via Diffusion-based Deep Reinforcement Learning
Boxiong Wang, Hui Kang, Jiahui Li +5
The integration of satellite and autonomous aerial vehicle (AAV) communications has become essential for the scenarios requiring both wide coverage and rapid deployment, particular…
Encrypted Traffic Detection in Resource Constrained IoT Networks: A Diffusion Model and LLM Integrated Framework
Hongjuan Li, Hui Kang, Chenbang Liu +6
The proliferation of Internet-of-things (IoT) infrastructures and the widespread adoption of traffic encryption present significant challenges, particularly in environments charact…
Hierarchical Online Optimization Approach for IRS-enabled Low-altitude MEC in Vehicular Networks
Yixian Wang, Geng Sun, Zemin Sun +2
In this paper, we propose an intelligent reflecting surface (IRS)-enabled low-altitude multi-access edge computing (MEC) architecture, where an aerial MEC server cooperates with a…
Collaborative Charging Optimization for Wireless Rechargeable Sensor Networks via Heterogeneous Mobile Chargers
Jianhang Yao, Hui Kang, Geng Sun +4
Despite the rapid proliferation of Internet of Things applications driving widespread wireless sensor network (WSN) deployment, traditional WSNs remain fundamentally constrained by…
Low-Altitude UAV-Carried Movable Antenna for Joint Wireless Power Transfer and Covert Communications
Chuang Zhang, Geng Sun, Jiahui Li +5
The proliferation of Internet of Things (IoT) networks has created an urgent need for sustainable energy solutions, particularly for the battery-constrained spatially distributed I…
Joint Computing Resource Allocation and Task Offloading in Vehicular Fog Computing Systems Under Asymmetric Information
Geng Sun, Siyi Chen, Zemin Sun +5
Vehicular fog computing (VFC) has emerged as a promising paradigm, which leverages the idle computational resources of nearby fog vehicles (FVs) to complement the computing capabil…
When UAV Swarm Meets IRS: Collaborative Secure Communications in Low-altitude Wireless Networks
Jiahui Li, Xinyue Liang, Geng Sun +5
Low-altitude wireless networks (LAWNs) represent a promising architecture that integrates unmanned aerial vehicles (UAVs) as aerial nodes to provide enhanced coverage, reliability,…
STAR-RIS-assisted Collaborative Beamforming for Low-altitude Wireless Networks
Xinyue Liang, Hui Kang, Junwei Che +5
While low-altitude wireless networks (LAWNs) based on uncrewed aerial vehicles (UAVs) offer high mobility, flexibility, and coverage for urban communications, they face severe sign…
Cost Minimization for Space-Air-Ground Integrated Multi-Access Edge Computing Systems
Weihong Qin, Aimin Wang, Geng Sun +5
Space-air-ground integrated multi-access edge computing (SAGIN-MEC) provides a promising solution for the rapidly developing low-altitude economy (LAE) to deliver flexible and wide…
Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks
Bowei Tong, Hui Kang, Jiahui Li +5
Despite rapid advancements in sensor networks, conventional battery-powered sensor networks suffer from limited operational lifespans and frequent maintenance requirements that sev…
Multi-AAV-enabled Distributed Beamforming in Low-Altitude Wireless Networking for AoI-Sensitive IoT Data Forwarding
Zifan Lang, Guixia Liu, Jiahui Li +5
With the rapid development of low-altitude wireless networking, autonomous aerial vehicles (AAVs) have emerged as critical enablers for timely and reliable data delivery, particula…
Joint Association and Phase Shifts Design for UAV-mounted Stacked Intelligent Metasurfaces-assisted Communications
Mingzhe Fan, Geng Sun, Hongyang Pan +4
Stacked intelligent metasurfaces (SIMs) have emerged as a promising technology for realizing wave-domain signal processing, while the fixed SIMs will limit the communication perfor…
Energy Efficient Trajectory Control and Resource Allocation in Multi-UAV-assisted MEC via Deep Reinforcement Learning
Saichao Liu, Geng Sun, Chuang Zhang +4
Mobile edge computing (MEC) is a promising technique to improve the computational capacity of smart devices (SDs) in Internet of Things (IoT). However, the performance of MEC is re…
Large AI Model-Enabled Secure Communications in Low-Altitude Wireless Networks: Concepts, Perspectives and Case Study
Chuang Zhang, Geng Sun, Yijing Lin +3
Low-altitude wireless networks (LAWNs) have the potential to revolutionize communications by supporting a range of applications, including urban parcel delivery, aerial inspections…
Joint Resource Management for Energy-efficient UAV-assisted SWIPT-MEC: A Deep Reinforcement Learning Approach
Yue Chen, Hui Kang, Jiahui Li +6
The integration of simultaneous wireless information and power transfer (SWIPT) technology in 6G Internet of Things (IoT) networks faces significant challenges in remote areas and…
Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning
Xin Tang, Qian Chen, Wenjie Weng +6
The integration of emerging uncrewed aerial vehicles (UAVs) with artificial intelligence (AI) and ground-embedded robots (GERs) has transformed emergency rescue operations in unkno…
IRS-assisted Edge Computing for Vehicular Networks: A Generative Diffusion Model-based Stackelberg Game Approach
Yixian Wang, Geng Sun, Zemin Sun +3
Recent advancements in intelligent reflecting surfaces (IRS) and mobile edge computing (MEC) offer new opportunities to enhance the performance of vehicular networks. However, meet…
AoI-Sensitive Data Forwarding with Distributed Beamforming in UAV-Assisted IoT
Zifan Lang, Guixia Liu, Geng Sun +4
This paper proposes a UAV-assisted forwarding system based on distributed beamforming to enhance age of information (AoI) in Internet of Things (IoT). Specifically, UAVs collect an…
UAV-assisted Joint Mobile Edge Computing and Data Collection via Matching-enabled Deep Reinforcement Learning
Boxiong Wang, Hui Kang, Jiahui Li +4
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) and data collection (DC) have been popular research issues. Different from existing works that consider MEC and D…
DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach
Xin Tang, Qian Chen, Wenjie Weng +4
Unmanned Aerial Vehicles (UAVs) possess high mobility and flexible deployment capabilities, prompting the development of UAVs for various application scenarios within the Internet…