219 citations · 546 across the 100 of their papers we have counts for
7 papers · 1 filter
Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization
Yang Li, Ruichen Zhang, Yinqiu Liu +4
The rapid advancement of Low-Altitude Economy Networks (LAENets) has enabled a variety of applications, including aerial surveillance, environmental sensing, and semantic data coll…
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach
Junchao Fan, Qi Wei, Ruichen Zhang +4
Deep reinforcement learning (DRL) has demonstrated remarkable success in developing autonomous driving policies. However, its vulnerability to adversarial attacks remains a critica…
Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges
Changyuan Zhao, Guangyuan Liu, Ruichen Zhang +11
Edge General Intelligence (EGI) represents a transformative evolution of edge computing, where distributed agents possess the capability to perceive, reason, and act autonomously a…
Diffusion Models for Future Networks and Communications: A Comprehensive Survey
Nguyen Cong Luong, Nguyen Duc Hai, Duc Van Le +9
The rise of Generative AI (GenAI) in recent years has catalyzed transformative advances in wireless communications and networks. Among the members of the GenAI family, Diffusion Mo…
Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions
Jiani Fan, Lwin Khin Shar, Ruichen Zhang +5
Money laundering is a financial crime that obscures the origin of illicit funds, necessitating the development and enforcement of anti-money laundering (AML) policies by government…
Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework
Yushen Lin, Ruichen Zhang, Wenqi Huang +4
In this work, we develop a specialized dataset aimed at enhancing the evaluation and fine-tuning of large language models (LLMs) specifically for wireless communication application…
Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles
Hanwen Zhang, Ruichen Zhang, Wei Zhang +3
The energy optimization and demand side management (DSM) of Internet of Things (IoT)-enabled microgrids are being transformed by generative artificial intelligence, such as large l…