Publications

2025

1. ArXiv

   PRIMA. CPP: Speeding Up 70B-Scale LLM Inference on Low-Resource Everyday Home Clusters

   Zonghang Li, Tao Li, Wenjiao Feng, and 2 more authors

   arXiv preprint arXiv:2504.08791, HuggingFace #2 Paper of the Week and Monthly Top 10 Papers , 2025

   Bib HTML PDF

   @article{li2025prima,
     title = {PRIMA. CPP: Speeding Up 70B-Scale LLM Inference on Low-Resource Everyday Home Clusters},
     author = {Li, Zonghang and Li, Tao and Feng, Wenjiao and Guizani, Mohsen and Yu, Hongfang},
     journal = {arXiv preprint arXiv:2504.08791},
     year = {2025},
   }

2. ICC

   Which Cluster Meets My Deadline: A Budget-Aware Scheduler for Distributed Training Jobs in Heterogeneous Environments

   Yuchen Zhang, Long Luo, Zonghang Li, and 2 more authors

   In IEEE ICC , 2025

   Bib

   @inproceedings{zhang2025which,
     title = {Which Cluster Meets My Deadline: A Budget-Aware Scheduler for Distributed Training Jobs in Heterogeneous Environments},
     author = {Zhang, Yuchen and Luo, Long and Li, Zonghang and Sun, Gang and Yu, Hongfang},
     booktitle = {IEEE ICC},
     year = {2025},
     pages = {},
     organization = {IEEE},
   }

2024

1. ArXiv

   TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices

   Zonghang Li, Wenjiao Feng, Mohsen Guizani, and 1 more author

   arXiv preprint arXiv:2410.00531, HuggingFace #2 Paper of the Day , 2024

   Bib HTML PDF

   @article{li2024tpi,
     title = {TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices},
     author = {Li, Zonghang and Feng, Wenjiao and Guizani, Mohsen and Yu, Hongfang},
     journal = {arXiv preprint arXiv:2410.00531},
     year = {2024},
   }

2. 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

   Bib HTML PDF

   @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},
   }

3. 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

   Bib HTML

   @article{10770273,
     author = {Li, Qing and Xiong, Yanxu and Li, Zonghang and Ma, Chongxi and Yu, Hongfang and Sun, Gang and Luo, Long and Zhang, Zhaofeng},
     journal = {IEEE Network},
     title = {KlonetAI: Automating (Com)2Nets Management with Human Language Intents},
     year = {2024},
     volume = {},
     number = {},
     pages = {1-1},
     doi = {10.1109/MNET.2024.3507801},
   }

4. 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, corresponding author , 2024

   Bib HTML PDF

   @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},
   }

5. 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

   Bib HTML

   @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},
   }

6. 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

   Bib HTML

   @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},
   }

7. 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

   Bib HTML PDF

   @article{10310120,
     author = {Luo, Haoxiang and Zhang, Jin and Li, Xinling and Li, Zonghang and Yu, Hongfang and Sun, Gang and Niyato, Dusit},
     journal = {IEEE Transactions on Vehicular Technology},
     title = {ESIA: An Efficient and Stable Identity Authentication for Internet of Vehicles},
     year = {2024},
     volume = {73},
     number = {4},
     pages = {5602-5615},
     doi = {10.1109/TVT.2023.3330547},
   }

8. 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

   Bib HTML PDF

   @article{10356639,
     author = {Wang, Caihong and Xu, Du and Li, Zonghang and Niyato, Dusit},
     journal = {IEEE Internet of Things Journal},
     title = {Effective Intrusion Detection in Highly Imbalanced IoT Networks With Lightweight S2CGAN-IDS},
     year = {2024},
     volume = {11},
     number = {9},
     pages = {15140-15151},
     doi = {10.1109/JIOT.2023.3342638},
   }

9. DCN (Q1)

   SecureVFL: Privacy-preserving Multi-party Vertical Federated Learning based on Blockchain and RSS

   Mochan Fan, Zhipeng Zhang, Zonghang Li, and 4 more authors

   Digital Communications and Networks, 2024

   Bib HTML

   @article{fan2024securevfl,
     title = {SecureVFL: Privacy-preserving Multi-party Vertical Federated Learning based on Blockchain and RSS},
     author = {Fan, Mochan and Zhang, Zhipeng and Li, Zonghang and Sun, Gang and Yu, Hongfang and Kang, Jiawen and Guizani, Mohsen},
     journal = {Digital Communications and Networks},
     volume = {},
     number = {},
     pages = {},
     year = {2024},
     publisher = {Elsevier},
     doi = {10.1016/j.dcan.2024.07.008},
   }

10. VTC

    Collaborative Multimodal Vehicular Transformer Training Using Federated Learning

    Xingjian Cao, Zonghang Li, Gang Sun, and 1 more author

    In IEEE VTC , 2024

    Bib HTML PDF

    @inproceedings{cao2024collaborative,
      title = {Collaborative Multimodal Vehicular Transformer Training Using Federated Learning},
      author = {Cao, Xingjian and Li, Zonghang and Sun, Gang and Yu, Hongfang},
      booktitle = {IEEE VTC},
      pages = {1--5},
      year = {2024},
      organization = {IEEE},
    }

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

   Bib HTML

   @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},
   }

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

   Bib HTML

   @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},
   }

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

   Bib HTML PDF

   @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}
   }

4. GLOBECOM

   Graph Learning Enhanced UAV Swarms Based Multiple Targets Tracking

   Longyu Zhou, Supeng Leng, Zonghang Li, and 2 more authors

   In GLOBECOM , 2023

   Bib HTML

   @inproceedings{10437396,
     author = {Zhou, Longyu and Leng, Supeng and Li, Zonghang and Du, Hongyang and Niyato, Dusit},
     booktitle = {GLOBECOM},
     title = {Graph Learning Enhanced UAV Swarms Based Multiple Targets Tracking},
     year = {2023},
     pages = {3747-3752},
     doi = {10.1109/GLOBECOM54140.2023.10437396},
   }

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

   Bib HTML PDF

   @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},
   }

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

   Bib HTML

   @article{10097460,
     author = {Fan, Mochan and Zhang, Zhipeng and Li, Zonghang and Sun, Gang and Yu, Hongfang and Guizani, Mohsen},
     journal = {IEEE Transactions on Vehicular Technology},
     title = {Blockchain-Based Decentralized and Lightweight Anonymous Authentication for Federated Learning},
     year = {2023},
     volume = {72},
     number = {9},
     pages = {12075-12086},
     doi = {10.1109/TVT.2023.3265366},
   }

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

   Bib HTML PDF

   @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}
   }

8. KBS (Q1)

   Cross-silo Heterogeneous Model Federated Multitask Learning

   Xingjian Cao, Zonghang Li, Gang Sun, and 2 more authors

   Knowledge-Based Systems, 2023

   Bib HTML PDF

   @article{CAO2023110347,
     title = {Cross-silo Heterogeneous Model Federated Multitask Learning},
     journal = {Knowledge-Based Systems},
     volume = {265},
     pages = {110347},
     year = {2023},
     issn = {0950-7051},
     doi = {10.1016/j.knosys.2023.110347},
     url = {https://www.sciencedirect.com/science/article/pii/S0950705123000977},
     author = {Cao, Xingjian and Li, Zonghang and Sun, Gang and Yu, Hongfang and Guizani, Mohsen},
   }

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

   Bib HTML PDF

   @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}
   }

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

   Bib HTML PDF

   @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}
   }

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

   Bib HTML PDF

   @article{zeng2022encoded,
     title = {Encoded Gradients Aggregation against Gradient Leakage in Federated Learning},
     author = {Zeng, Dun and Liu, Shiyu and Liang, Siqi and Li, Zonghang and Wang, Hui and King, Irwin and Xu, Zenglin},
     journal = {arXiv preprint arXiv:2205.13216},
     year = {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

   Bib HTML

   @inproceedings{9771771,
     author = {Luo, Long and Cai, Qingqing and Li, Zonghang and Yu, Hongfang},
     booktitle = {IEEE WCNC},
     title = {Joint Client Selection and Resource Allocation for Federated Learning in Mobile Edge Networks},
     year = {2022},
     pages = {1218-1223},
     doi = {10.1109/WCNC51071.2022.9771771},
   }

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

   Bib HTML PDF

   @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},
   }

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

   Bib HTML

   @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}
   }

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

   Bib HTML PDF

   @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},
   }

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

   Bib HTML PDF

   @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},
   }

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

   Bib HTML PDF

   @article{9317791,
     author = {Xu, Xiaoqiong and Wang, Xiaonan and Li, Zonghang and Yu, Hongfang and Sun, Gang and Maharjan, Sabita and Zhang, Yan},
     journal = {IEEE Internet of Things Journal},
     title = {Mitigating Conflicting Transactions in Hyperledger Fabric-Permissioned Blockchain for Delay-Sensitive IoT Applications},
     year = {2021},
     volume = {8},
     number = {13},
     pages = {10596-10607},
     doi = {10.1109/JIOT.2021.3050244},
     dimensions = {true}
   }

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

   Bib HTML PDF

   @article{LIU2020106002,
     title = {Online Job Scheduling for Distributed Machine Learning in Optical Circuit Switch Networks},
     journal = {Knowledge-Based Systems},
     volume = {201-202},
     pages = {106002},
     year = {2020},
     doi = {10.1016/j.knosys.2020.106002},
     url = {https://www.sciencedirect.com/science/article/pii/S095070512030304X},
     author = {Liu, Ling and Yu, Hongfang and Sun, Gang and Zhou, Huaman and Li, Zonghang and Luo, Shouxi},
   }

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

   Bib PDF

   @inproceedings{zhou2019dgt,
     title = {DGT: A Communication-efficient Differential Gradient Transmission Protocol for Distributed Deep Learning},
     author = {Zhou, Huaman and Li, Zonghang and Yu, Hongfang},
     booktitle = {APNet},
     year = {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

   Bib HTML PDF

   @article{chen2018reinforcement,
     title = {Reinforcement Learning-based QoS/QoE-aware Service Function Chaining in Software-driven 5G Slices},
     author = {Chen, Xi and Li, Zonghang and Zhang, Yupeng and Long, Ruiming and Yu, Hongfang and Du, Xiaojiang and Guizani, Mohsen},
     journal = {Transactions on Emerging Telecommunications Technologies},
     volume = {29},
     number = {11},
     pages = {e3477},
     year = {2018},
     publisher = {Wiley Online Library},
     doi = {10.1002/ett.3477},
     dimensions = {true}
   }