Biography

Hailiang Yang is a Distinguished Associate Research Fellow at the Guangdong Laboratory of Artificial Intelligence and Digital Economy, Shenzhen.

He obtained his B.S. in Communication Engineering from South China Agricultural University in 2016. He received his M.S. and PhD in Computer Science and Technology from Shenzhen University in 2019 and 2022, respectively, under the supervision of Prof. Kaishun Wu.

He is a member of the IEEE (SM‘19-PM’22), the ACM (PM‘23), and the CCF (SM’18-PM’22).

E-mail: yanghailiang@gml.ac.cn

Research Interests

Wireless Networks, Federated Learning, Edge Computing, and Internet of Things.

Openings: Multiple postgraduate positions are available. Students with similar research interests are welcome to contact him.

Academic Services

Technical Program Committee (TPC):

IEEE Vehicular Technology Conference 2024

Reviewer:

IEEE Transactions on Mobile Computing
IEEE Vehicular Technology Conference
IEEE Internet of Things Journal
ACM Transactions on Modeling and Performance Evaluation of Computing Systems
Elsevier Engineering Applications of Artificial Intelligence
EURASIP Journal on Wireless Communications and Networking

Teaching

Advanced Computer Architecture, Graduate Course

Selected Publications (Google Scholar)

Hailiang Yang, Rukhsana Ruby, Yipeng Zhou, and Laizhong Cui*. Energy-Efficient Federated Learning in Symbiotic IoT Networks through Heterogeneity-aware Client Sampling. IEEE Internet of Things Journal. 2025. SCI, JCR Q1. DOI: 10.1109/JIOT.2025.3589733
Rukhsana Ruby, Hailiang Yang(Co-first), and Kaishun Wu*. Anti-Jamming Strategies for Federated Learning Internet of Medical Things: A Game Approach. IEEE Journal of Biomedical and Health Informatics. 2023; 27(2):888-899. SCI, JCR Q1. DOI: 10.1109/JBHI.2022.3183644
Rukhsana Ruby, Hailiang Yang(Co-first), Felipe A. P. de Figueiredo, Thien Huynh-The, and Kaishun Wu*. Energy-Efficient Multi-Processor-based Computation and Communication Resource Allocation in Two-Tier Federated Learning Networks. IEEE Internet of Things Journal. 2023,10(7):5689-5703. SCI, JCR Q1. DOI: 10.1109/JIOT.2022.3153996
Hailiang Yang, Rukhsana Ruby, and Kaishun Wu*. Delay performance of priority-queue equipped UAV-based mobile relay networks: Exploring the impact of trajectories. Computer Networks. 2022; 210:108856. SCI, JCR Q1. DOI: 10.1016/j.comnet.2022.108856
Hailiang Yang, Rukhsana Ruby, Quoc-Viet Pham, and Kaishun Wu*. Aiding a Disaster Spot via Multi-UAV-based IoT Networks: Energy and Mission Completion Time-Aware Trajectory Optimization. IEEE Internet of Things Journal. 2021; 9(8):5853-5867. SCI, JCR Q1. DOI: 10.1109/JIOT.2021.3109138

Honors and Awards

National Excellent Patent Award, Patent Name: “A mobile networking method and system for interference minimization,” National Intellectual Property Administration, 2022.
Outstanding Participant and Group Leader, Academic English and Research Skills Training Program, University of Toronto, Canada, 2021.
Outstanding Graduates, Shenzhen University, 2019.
National Scholarship for Postgraduate, Ministry of Education of China, 2018.