📝 Publications
ACM MMHaizhou 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, To Appear).IEEE TCADHaizhou 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, To Appear).JSAHaizhou 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 IotJJiamei 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).FGCSLiying 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 IotJLiying 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).