activity
20102026
most citedHarvest-Then-Cooperate: Wireless-Powered Cooperative Communications

454 citations · 2.5k across the 163 of their papers we have counts for

collaborators

169 papers

eess.SY2026

Hybrid Centralized Distributed Control for Lifelong MAPF over Wireless Connections

Jinghao Cao, Wanchun Liu, Yonghui Li +1

In lifelong multi-agent path finding (MAPF) with many robots, unreliable wireless links and stochastic executions are the norm. Existing approaches typically either rely on central…

cs.IT2025

Optimal Linear MAP Decoding of Convolutional Codes

Yonghui Li, Chentao Yue, Branka Vucetic

In this paper, we propose a linear representation of BCJR maximum a posteriori probability (MAP) decoding of a rate 1/2 convolutional code (CC), referred to as the linear MAP decod…

cs.LG2024★ 1 cited

GNN-based Auto-Encoder for Short Linear Block Codes: A DRL Approach

Kou Tian, Chentao Yue, Changyang She +2

This paper presents a novel auto-encoder based end-to-end channel encoding and decoding. It integrates deep reinforcement learning (DRL) and graph neural networks (GNN) in code des…

cs.IT2024★ 2 cited

Wireless Human-Machine Collaboration in Industry 5.0

Gaoyang Pang, Wanchun Liu, Dusit Niyato +3

Wireless Human-Machine Collaboration (WHMC) represents a critical advancement for Industry 5.0, enabling seamless interaction between humans and machines across geographically dist…

eess.SY2024

Communication-Control Codesign for Large-Scale Wireless Networked Control Systems

Gaoyang Pang, Wanchun Liu, Dusit Niyato +2

Wireless Networked Control Systems (WNCSs) are essential to Industry 4.0, enabling flexible control in applications, such as drone swarms and autonomous robots. The interdependence…

eess.SP2024

Floor-Plan-aided Indoor Localization: Zero-Shot Learning Framework, Data Sets, and Prototype

Haiyao Yu, Changyang She, Yunkai Hu +4

Machine learning has been considered a promising approach for indoor localization. Nevertheless, the sample efficiency, scalability, and generalization ability remain open issues o…