Publications

The cutoff date for this data is Dec 14, 2024.

2024

  1. ACM TON (CCF A)
    Accelerating Geo-distributed Machine Learning with Network-Aware Adaptive Tree and Auxiliary Route
    Zonghang Li, Wenjiao Feng, Weibo Cai, and 5 more authors
    IEEE/ACM Transactions on Networking, 2024
  2. IEEE Network (Q1)
    KlonetAI: Automating (Com)2Nets Management with Human Language Intents
    Qing Li, Yanxu Xiong, Zonghang Li, and 5 more authors
    IEEE Network. Corresponding author , 2024
  3. IEEE TMC (CCF A)
    Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services
    Hongyang Du, Zonghang Li, Dusit Niyato, and 4 more authors
    IEEE Transactions on Mobile Computing. Co-first author , 2024
  4. IEEE Wire. Comm. (Q1)
    Enabling AI-Generated Content Services in Wireless Edge Networks
    Hongyang Du, Zonghang Li, Dusit Niyato, and 4 more authors
    IEEE Wireless Communications. Co-first author , 2024
  5. IEEE JSAC (CCF A)
    Energy-Efficient Hierarchical Collaborative Learning over LEO Satellite Constellations
    Long Luo, Chi Zhang, Hongfang Yu, and 3 more authors
    IEEE Journal on Selected Areas in Communications, 2024
  6. IEEE TVT (Q1)
    ESIA: An Efficient and Stable Identity Authentication for Internet of Vehicles
    Haoxiang Luo, Jin Zhang, Xinling Li, and 4 more authors
    IEEE Transactions on Vehicular Technology, 2024
  7. IEEE IoTJ (Q1)
    Effective Intrusion Detection in Highly Imbalanced IoT Networks With Lightweight S2CGAN-IDS
    Caihong Wang, Du Xu, Zonghang Li, and 1 more author
    IEEE Internet of Things Journal, 2024

2023

  1. Book
    Geo-distributed Machine Learning: Enabling Integration of Intelligence on Multiple Clouds
    Hongfang Yu, Zonghang Li, Gang Sun, and 1 more author
    Publishing House of Electronics Industry. Student first author , 2023
  2. IEEE TSC (CCF A)
    NBSync: Parallelism of Local Computing and Global Synchronization for Fast Distributed Machine Learning in WANs
    Huaman Zhou, Zonghang Li, Hongfang Yu, and 2 more authors
    IEEE Transactions on Services Computing, 2023
  3. IEEE JSAC (CCF A)
    Personalized Saliency in Task-Oriented Semantic Communications: Image Transmission and Performance Analysis
    Jiawen Kang, Hongyang Du, Zonghang Li, and 4 more authors
    IEEE Journal on Selected Areas in Communications. Best Paper Award , 2023
  4. GLOBECOM
    Graph Learning Enhanced UAV Swarms Based Multiple Targets Tracking
    Longyu Zhou, Supeng Leng, Zonghang Li, and 2 more authors
    In GLOBECOM , 2023
  5. IEEE COMST (Q1)
    Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
    Hongyang Du, Ruichen Zhang, Yinqiu Liu, and 8 more authors
    IEEE Communications Surveys & Tutorials. Co-first author , 2023
  6. IEEE TVT (Q1)
    Blockchain-Based Decentralized and Lightweight Anonymous Authentication for Federated Learning
    Mochan Fan, Zhipeng Zhang, Zonghang Li, and 3 more authors
    IEEE Transactions on Vehicular Technology, 2023
  7. IEEE TCC (Q1)
    HFedMS: Heterogeneous Federated Learning With Memorable Data Semantics in Industrial Metaverse
    Shenglai Zeng, Zonghang Li, Hongfang Yu, and 4 more authors
    IEEE Transactions on Cloud Computing. Co-first author, Best Paper Award , 2023
  8. KBS (Q1)
    Cross-silo Heterogeneous Model Federated Multitask Learning
    Xingjian Cao, Zonghang Li, Gang Sun, and 2 more authors
    Knowledge-Based Systems, 2023

2022

  1. IEEE TSC (CCF A)
    ESync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data Centers
    Zonghang Li, Huaman Zhou, Tianyao Zhou, and 3 more authors
    IEEE Transactions on Services Computing, 2022
  2. IEEE IoTJ (Q1)
    Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT
    Zonghang Li, Yihong He, Hongfang Yu, and 4 more authors
    IEEE Internet of Things Journal, 2022
  3. arViv
    Encoded Gradients Aggregation against Gradient Leakage in Federated Learning
    Dun Zeng, Shiyu Liu, Siqi Liang, and 4 more authors
    arXiv preprint arXiv:2205.13216, 2022
  4. WCNC
    Joint Client Selection and Resource Allocation for Federated Learning in Mobile Edge Networks
    Long Luo, Qingqing Cai, Zonghang Li, and 1 more author
    In IEEE WCNC , 2022
  5. DASFAA
    Heterogeneous Federated Learning via Grouped Sequential-to-parallel Training
    Shenglai Zeng, Zonghang Li, Hongfang Yu, and 4 more authors
    In DASFAA . Co-first author , 2022

2021

  1. IEEE Network (Q1)
    Byzantine Resistant Secure Blockchained Federated Learning at the Edge
    Zonghang Li, Hongfang Yu, Tianyao Zhou, and 4 more authors
    IEEE Network, 2021
  2. IEEE TNSM (Q1)
    TSEngine: Enable Efficient Communication Overlay in Distributed Machine Learning in WANs
    Huaman Zhou, Weibo Cai, Zonghang Li, and 4 more authors
    IEEE Transactions on Network and Service Management, 2021
  3. FGCS (Q1)
    DGT: A Contribution-aware Differential Gradient Transmission Mechanism for Distributed Machine Learning
    Huaman Zhou, Zonghang Li, Qingqing Cai, and 4 more authors
    Future Generation Computer Systems, 2021
  4. IEEE IoTJ (Q1)
    Mitigating Conflicting Transactions in Hyperledger Fabric-Permissioned Blockchain for Delay-Sensitive IoT Applications
    Xiaoqiong Xu, Xiaonan Wang, Zonghang Li, and 4 more authors
    IEEE Internet of Things Journal, 2021

2020

  1. KBS (Q1)
    Online Job Scheduling for Distributed Machine Learning in Optical Circuit Switch Networks
    Ling Liu, Hongfang Yu, Gang Sun, and 3 more authors
    Knowledge-Based Systems, 2020

2019

  1. APNET
    DGT: A Communication-efficient Differential Gradient Transmission Protocol for Distributed Deep Learning
    Huaman Zhou, Zonghang Li, and Hongfang Yu
    In APNet , 2019

2018

  1. TETT (Q1)
    Reinforcement Learning-based QoS/QoE-aware Service Function Chaining in Software-driven 5G Slices
    Xi Chen, Zonghang Li, Yupeng Zhang, and 4 more authors
    Transactions on Emerging Telecommunications Technologies, 2018