📝 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, To Appear).
  • 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, To Appear).
  • 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).