This area focuses on enhancing the intelligence, efficiency and functionality of IoT systems through optimization algorithms, predictive ML models, and AI-driven decision-making models.

成员

曾宪国

Professor

伍楷舜

Professor

王旭东

Professor

杨柳青

Chair Professor

段凌杰

Professor

崔颖

Associate Professor

陈煌栒

Assistant Professor

赖志路

Assistant Professor

刑泓

Assistant Professor

于佳冬

Assistant Professor

郑心湖

Assistant Professor

李宏宇

Assistant Professor

苏宁馨

Assistant Professor

何海韵

Assistant Professor

丁宁宁

Assistant Professor

袁臻毅

Associate Professor

项目

2024

基于通感算交叉融合的未来无线感知网络理论与应用研究

Firm: 广州市科技局

Time: 2024 -

2024

广州市未来网络系统重点实验室

Firm: 广州市科技局

Time: 2024 -

2023

广东省通感算交叉融合泛在物联网重点实验室

Firm: 广东省科技厅

Time: 2023 -

发表

Attention-based QoE-aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality

IEEE Transactions on Wireless Communications, March 2024, article number 10486201, p. 1-1

Yu, Jiadong; Alhilal, Ahmad; Zhou, Tailin; Hui, Pan; Tsang, Hin Kwok

Boosting RF-DC Rectification via Bias Voltage

Proceedings of 2024 IEEE Wireless Power Technology Conference and Expo, WPTCE 2024 / IEEE. Piscataway, NJ : IEEE, 2024, p. 390-394, article number 10557315

Liang, Tingxi; Chiu, Chi Yuk; Gupta, Sanjay; Tsang, Hin Kwok

Combining Conjugate Gradient and Momentum for Unconstrained Stochastic Optimization With Applications to Machine Learning

IEEE Internet of Things Journal, v. 11, (13), July 2024, article number 10472300, p. 23236-23254

Yuan, Yulan; Tsang, Hin Kwok; Lau, Kin Nang

Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data

IEEE Transactions on Mobile Computing, May 2024, article number 10540229, p. 1-16

Zhou, Tailin; Lin, Zehong; Zhang, Jun; Tsang, Hin Kwok

Multi-resolution Neural Network Compression Based on Variational Bayesian Inference

2024-06, IEEE ICC, Denver, CO