Haizhou Wang is a Ph.D. student at the College of Computing and Data Science, Nanyang Technological University (NTU), Singapore, under the supervision of Prof. Han Yu (于涵). Prior to this, he served as a Research Assistant at Shanghai University, collaborating with Prof. Yangguang Cui (崔阳光). He received his M.S. degree from the School of Computer Science and Technology, East China Normal University, Shanghai, China, in 2023, advised by Prof. Tongquan Wei (魏同权). His research interests primarily focus on the Internet of Things (IoT), Federated Learning, and Dynamic Neural Networks. He has published several refereed papers in these areas in premium conferences and journals, including IEEE TCAD, ACM MM, IEEE IoTJ, and JSA.

🔥 News

• 2026.01.12: 🎉 Joined TrustFUL Lab (supervised by Prof. Han Yu) at NTU to embark on my Ph.D. journey!
• 2025.09.24: 🎉 One paper got accepted by IEEE IoTJ.
• 2025.07.05: 🎉 One paper got accepted by IEEE TCAD.
• 2025.07.05: 🎉 One paper got accepted by ACM MM.
• 2025.02.21: 🎉 My personal homepage is created! Waiting for good news! Good luck!

📖 Educations

• 2020.09 - 2023.06, Master, School of Computer Science and Technology, East China Normal University (华东师范大学), Shanghai, China.
• 2016.09 - 2020.06, Bachelor, School of Computer and Information Engineering, Central South University of Forestry and Technology (中南林业科技大学), Changsha, China.

📝 Publications

• ACM MM Haizhou Wang, Guobing Zou, Fei Xu, Yangguang Cui, and Tongquan Wei. ‘‘Multi-Width Neural Network-Assisted Efficient Hierarchical Federated Learning in Heterogeneous Cloud-Edge-Device Computing,’’ ACM International Conference on Multimedia, 2025 (CCF-A Conference, Accepted).
• IEEE TCAD Haizhou Wang, Guobing Zou, Kun Cao, Yangguang Cui, Tongquan Wei, and Shiyan Hu. ‘‘An Elastic Federated Learning Collaboration Framework for Computing-Constrained IoT,’’ IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2025 (CCF-A Journal, Accepted).
• JSA Haizhou Wang, Liying Li, Yangguang Cui, Nuo Wang, Fuke Shen, and Tongquan Wei. ‘‘MBSNN: A Multi-Branch Scalable Neural Network for Resource-Constrained IoT Devices,’’ Journal of Systems Architecture, 2023, DOI:10.1016/j.sysarc.2023.102931. (JCR-Q1 Journal, Accepted).
• IEEE IotJ Jiamei Li, Haizhou Wang, Kun Cao, Yangguang Cui, Tong Liu, and Zhiquan Liu. ‘‘Latency-Aware Client Selection and Energy Management for Hierarchical Federated Learning,’’ IEEE Internet of Things Journal, 2025. (JCR-Q1 Journal, Accepted).
• FGCS Liying Li, Haizhou Wang, Youyang Wang, Mingsong Chen, and Tongquan Wei. ‘‘Improving IoT Data Availability via Feedback- and Voting-Based Anomaly Imputation,’’ Future Generation Computer Systems, 2022, DOI:10.1016/j.future.2022.04.027. (JCR-Q1 Journal, Accepted).
• IEEE IotJ Liying Li, Yinghui Wang, Haizhou Wang, Shiyan Hu, and Tongquan Wei. ‘‘An Efficient Architecture for Imputing Distributed Data Sets of IoT Networks,’’ IEEE Internet of Things Journal, 2023, DOI:10.1109/JIOT.2023.3264609. (JCR-Q1 Journal, Accepted).

👨‍💼 Reviewer

• IEEE Internet of Things Journal
• Journal of Circuits, Systems and Computers
• IEEE International Conference on High Performance Computing and Communications
• IEEE International Conference on Smart City
• International Conference on Artificial Neural Networks