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

2021

Research and industrializaton of intelligent ceramic production line management and analysis platform: topic# 2 Information and Control Systems in Industrial loT: Design and Optimization

Firm: FSNH - Nanhai People’s Government of Foshan

Time: 2021 -

2021

Research and industrializaton of intelligent ceramic production line management and analysis platform: topic# 1 Multi-stage process monitoring and optimization based on big data analytics and machine learning

Firm: FSNH - Nanhai People’s Government of Foshan

Time: 2021 -

2020

Mobility and Energy Management of Electric Vehicle-Based Mobility-on-Demand Systems in Future Smart Cities

Firm: GRF - RGC - General Research Fund

Time: 2020 -

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