1 citations · 2 across the 7 of their papers we have counts for
7 papers
XGait: A Multi-Modality Wireless Sensing Dataset for Indoor Human Tracking and Identification
Wei Xu, Zhu Wang, Yifan Guo +5
Wireless sensing has emerged as a promising approach for tracking and identification using commodity Internet of Things devices. However, the features derived from a single wireles…
What Language Does and What the Evidence Supports: A Functional Role Taxonomy and Evidence Audit of Language Grounding in Embodied Agents
Yifan Guo, Chenghao Li, Zhu Wang +6
Foundation models place language throughout embodied agents, but its presence does not show what it contributes or how well that contribution is grounded. This survey separates the…
MeCo: Enhancing LLM-Empowered Multi-Robot Collaboration via Similar Task Memoization
Baiqing Wang, Helei Cui, Bo Zhang +3
Multi-robot systems have been widely deployed in real-world applications, providing significant improvements in efficiency and reductions in labor costs. However, most existing mul…
VIL2C: Value-of-Information Aware Low-Latency Communication for Multi-Agent Reinforcement Learning
Qian Zhang, Zhuo Sun, Yao Zhang +3
Inter-agent communication serves as an effective mechanism for enhancing performance in collaborative multi-agent reinforcement learning(MARL) systems. However, the inherent commun…
DiffSG: A Generative Solver for Network Optimization with Diffusion Model
Ruihuai Liang, Bo Yang, Zhiwen Yu +5
Generative diffusion models, famous for their performance in image generation, are popular in various cross-domain applications. However, their use in the communication community h…
Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning
Yao Zhang, Zhiwen Yu, Jun Zhang +4
This paper considers optimal traffic signal control in smart cities, which has been taken as a complex networked system control problem. Given the interacting dynamics among traffi…
RaftFed: A Lightweight Federated Learning Framework for Vehicular Crowd Intelligence
Changan Yang, Yaxing Chen, Yao Zhang +5
Vehicular crowd intelligence (VCI) is an emerging research field. Facilitated by state-of-the-art vehicular ad-hoc networks and artificial intelligence, various VCI applications co…