Dr. Zonghang Li

@article{li2024accelerating,
  title = {Accelerating Geo-distributed Machine Learning with Network-Aware Adaptive Tree and Auxiliary Route},
  author = {Li, Zonghang and Feng, Wenjiao and Cai, Weibo and Yu, Hongfang and Luo, Long and Sun, Gang and Du, Hongyang and Niyato, Dusit},
  journal = {IEEE/ACM Transactions on Networking},
  year = {2024},
  publisher = {IEEE/ACM},
  doi = {10.48550/arXiv.2404.11352},
}

@book{li2023geomx-book,
  title = {Geo-distributed Machine Learning: Enabling Integration of Intelligence on Multiple Clouds},
  author = {Yu, Hongfang and Li, Zonghang and Sun, Gang and Luo, Long},
  year = {2023},
  publisher = {Publishing House of Electronics Industry},
}

@article{9292461,
  author = {Li, Zonghang and Zhou, Huaman and Zhou, Tianyao and Yu, Hongfang and Xu, Zenglin and Sun, Gang},
  journal = {IEEE Transactions on Services Computing},
  title = {ESync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data Centers},
  year = {2022},
  volume = {15},
  number = {4},
  pages = {2261-2274},
  doi = {10.1109/TSC.2020.3044043},
  dimensions = {true}
}

@article{9382023,
  author = {Li, Zonghang and Yu, Hongfang and Zhou, Tianyao and Luo, Long and Fan, Mochan and Xu, Zenglin and Sun, Gang},
  journal = {IEEE Network},
  title = {Byzantine Resistant Secure Blockchained Federated Learning at the Edge},
  year = {2021},
  volume = {35},
  number = {4},
  pages = {295-301},
  doi = {10.1109/MNET.011.2000604},
  dimensions = {true}
}

@article{9741255,
  author = {Li, Zonghang and He, Yihong and Yu, Hongfang and Kang, Jiawen and Li, Xiaoping and Xu, Zenglin and Niyato, Dusit},
  journal = {IEEE Internet of Things Journal},
  title = {Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT},
  year = {2022},
  volume = {9},
  number = {18},
  pages = {17844-17857},
  doi = {10.1109/JIOT.2022.3161943},
  dimensions = {true}
}

@article{10409284,
  author = {Du, Hongyang and Li, Zonghang and Niyato, Dusit and Kang, Jiawen and Xiong, Zehui and Huang, Huawei and Mao, Shiwen},
  journal = {IEEE Transactions on Mobile Computing},
  title = {Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services},
  year = {2024},
  doi = {10.1109/TMC.2024.3356178},
}

@article{10234675,
  author = {Zhou, Huaman and Li, Zonghang and Yu, Hongfang and Luo, Long and Sun, Gang},
  journal = {IEEE Transactions on Services Computing},
  title = {NBSync: Parallelism of Local Computing and Global Synchronization for Fast Distributed Machine Learning in WANs},
  year = {2023},
  volume = {16},
  number = {6},
  pages = {4115-4127},
  doi = {10.1109/TSC.2023.3304312},
}

@article{9959884,
  author = {Kang, Jiawen and Du, Hongyang and Li, Zonghang and Xiong, Zehui and Ma, Shiyao and Niyato, Dusit and Li, Yuan},
  journal = {IEEE Journal on Selected Areas in Communications},
  title = {Personalized Saliency in Task-Oriented Semantic Communications: Image Transmission and Performance Analysis},
  year = {2023},
  volume = {41},
  number = {1},
  pages = {186-201},
  doi = {10.1109/JSAC.2022.3221990},
  dimensions = {true}
}

@article{10445209,
  author = {Du, Hongyang and Li, Zonghang and Niyato, Dusit and Kang, Jiawen and Xiong, Zehui and Shen, Xuemin Sherman and Kim, Dong In},
  journal = {IEEE Wireless Communications},
  title = {Enabling AI-Generated Content Services in Wireless Edge Networks},
  year = {2024},
  doi = {10.1109/MWC.004.2300015},
}

@article{10699366,
  author = {Luo, Long and Zhang, Chi and Yu, Hongfang and Li, Zonghang and Sun, Gang and Luo, Shouxi},
  journal = {IEEE Journal on Selected Areas in Communications},
  title = {Energy-Efficient Hierarchical Collaborative Learning over LEO Satellite Constellations},
  year = {2024},
  volume = {},
  number = {},
  pages = {1-1},
  doi = {10.1109/JSAC.2024.3459021},
}

@article{du2023beyond,
  title = {Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization},
  author = {Du, Hongyang and Zhang, Ruichen and Liu, Yinqiu and Wang, Jiacheng and Lin, Yijing and Li, Zonghang and Niyato, Dusit and Kang, Jiawen and Xiong, Zehui and Cui, Shuguang and others},
  journal = {IEEE Communications Surveys & Tutorials},
  year = {2023},
}

@article{10065509,
  author = {Zeng, Shenglai and Li, Zonghang and Yu, Hongfang and Zhang, Zhihao and Luo, Long and Li, Bo and Niyato, Dusit},
  journal = {IEEE Transactions on Cloud Computing},
  title = {HFedMS: Heterogeneous Federated Learning With Memorable Data Semantics in Industrial Metaverse},
  year = {2023},
  volume = {11},
  number = {3},
  pages = {3055-3069},
  doi = {10.1109/TCC.2023.3254587},
  dimensions = {true}
}

@inproceedings{zeng2022heterogeneous,
  title = {Heterogeneous Federated Learning via Grouped Sequential-to-parallel Training},
  author = {Zeng, Shenglai and Li, Zonghang and Yu, Hongfang and He, Yihong and Xu, Zenglin and Niyato, Dusit and Yu, Han},
  booktitle = {DASFAA},
  pages = {455--471},
  year = {2022},
  organization = {Springer},
}

@article{9519644,
  author = {Zhou, Huaman and Cai, Weibo and Li, Zonghang and Yu, Hongfang and Liu, Ling and Luo, Long and Sun, Gang},
  journal = {IEEE Transactions on Network and Service Management},
  title = {TSEngine: Enable Efficient Communication Overlay in Distributed Machine Learning in WANs},
  year = {2021},
  volume = {18},
  number = {4},
  pages = {4846-4859},
  doi = {10.1109/TNSM.2021.3106315},
}

@article{ZHOU202135,
  title = {DGT: A Contribution-aware Differential Gradient Transmission Mechanism for Distributed Machine Learning},
  journal = {Future Generation Computer Systems},
  volume = {121},
  pages = {35-47},
  year = {2021},
  doi = {https://doi.org/10.1016/j.future.2021.03.006},
  url = {https://www.sciencedirect.com/science/article/pii/S0167739X21000868},
  author = {Zhou, Huaman and Li, Zonghang and Cai, Qingqing and Yu, Hongfang and Luo, Shouxi and Luo, Long and Sun, Gang},
}