7 citations · 14 across the 10 of their papers we have counts for
11 papers
Tutorial on Large Language Model-Enhanced Reinforcement Learning for Wireless Networks
Lingyi Cai, Wenjie Fu, Yuxi Huang +9
Reinforcement Learning (RL) has shown remarkable success in enabling adaptive and data-driven optimization for various applications in wireless networks. However, classical RL suff…
Joint Visible Light and Backscatter Communications for Proximity-Based Indoor Asset Tracking Enabled by Energy-Neutral Devices
Boxuan Xie, Lauri Mela, Alexis A. Dowhuszko +4
In next-generation wireless systems, providing location-based mobile computing services for energy-neutral devices has become a crucial objective for the provision of sustainable I…
LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach
Yinqiu Liu, Guangyuan Liu, Jiacheng Wang +5
Nowadays, Generative AI (GenAI) reshapes numerous domains by enabling machines to create content across modalities. As GenAI evolves into autonomous agents capable of reasoning, co…
ContribChain: A Stress-Balanced Blockchain Sharding Protocol with Node Contribution Awareness
Xinpeng Huang, Wanqing Jie, Shiwen Zhang +8
Existing blockchain sharding protocols have focused on eliminating imbalanced workload distributions. However, even with workload balance, disparities in processing capabilities ca…
Mixture of Experts for Decentralized Generative AI and Reinforcement Learning in Wireless Networks: A Comprehensive Survey
Yunting Xu, Jiacheng Wang, Ruichen Zhang +10
Mixture of Experts (MoE) has emerged as a promising paradigm for scaling model capacity while preserving computational efficiency, particularly in large-scale machine learning arch…
Wireless Hallucination in Generative AI-enabled Communications: Concepts, Issues, and Solutions
Xudong Wang, Jiacheng Wang, Lei Feng +6
Generative AI (GenAI) is driving the intelligence of wireless communications. Due to data limitations, random generation, and dynamic environments, GenAI may generate channel infor…
Radar and Camera Fusion for Object Detection and Tracking: A Comprehensive Survey
Kun Shi, Shibo He, Zhenyu Shi +4
Multi-modal fusion is imperative to the implementation of reliable object detection and tracking in complex environments. Exploiting the synergy of heterogeneous modal information…
Tracing Human Stress from Physiological Signals using UWB Radar
Jia Xu, Teng Xiao, Pin Lv +4
Stress tracing is an important research domain that supports many applications, such as health care and stress management; and its closest related works are derived from stress det…
Exploring Equilibrium Strategies in Network Games with Generative AI
Yaoqi Yang, Hongyang Du, Geng Sun +3
Game theory offers a powerful framework for analyzing strategic interactions among decision-makers, providing tools to model, analyze, and predict their behavior. However, implemen…
Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantization
Xinyuan Zhang, Jiang Liu, Zehui Xiong +3
Generative Artificial Intelligence (GAI) is taking the world by storm with its unparalleled content creation ability. Large Language Models (LLMs) are at the forefront of this move…
Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization
Xiumei Deng, Jun Li, Kang Wei +6
Adaptive moment estimation (Adam), as a Stochastic Gradient Descent (SGD) variant, has gained widespread popularity in federated learning (FL) due to its fast convergence. However,…