Reinforcement learning-based QoS/QoE-aware service function chaining in software-driven 5G slices. - Xi Chen 026; Zonghang Li; Yupeng Zhang 005; Ruiming Long; Hongfang Yu; Xiaojiang Du; Mohsen Guizani (Trans. Emerg. Telecommun. Technol., 2018)

Simplifying Flow Updates in Software-Defined Networks Using Atoman. - Long Luo; Zonghang Li; Jingyu Wang 001; Hongfang Yu (IEEE Access, 2019)

Online job scheduling for distributed machine learning in optical circuit switch networks. - Ling Liu; Hongfang Yu; Gang Sun 001; Huaman Zhou; Zonghang Li; Shouxi Luo (Knowl. Based Syst., 2020)

DGT: A contribution-aware differential gradient transmission mechanism for distributed machine learning. - Huaman Zhou; Zonghang Li; Qingqing Cai; Hongfang Yu; Shouxi Luo; Long Luo; Gang Sun 001 (Future Gener. Comput. Syst., 2021)

Mitigating Conflicting Transactions in Hyperledger Fabric-Permissioned Blockchain for Delay-Sensitive IoT Applications. - Xiaoqiong Xu; Xiaonan Wang; Zonghang Li; Hongfang Yu; Gang Sun 001; Sabita Maharjan; Yan Zhang 002 (IEEE Internet Things J., 2021)

Byzantine Resistant Secure Blockchained Federated Learning at the Edge. - Zonghang Li; Hongfang Yu; Tianyao Zhou; Long Luo; Mochan Fan; Zenglin Xu; Gang Sun 001 (IEEE Netw., 2021)

TSEngine: Enable Efficient Communication Overlay in Distributed Machine Learning in WANs. - Huaman Zhou; Weibo Cai; Zonghang Li; Hongfang Yu; Ling Liu; Long Luo; Gang Sun 001 (IEEE Trans. Netw. Serv. Manag., 2021)

Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training. - Shenglai Zeng; Zonghang Li; Hongfang Yu; Yihong He; Zenglin Xu; Dusit Niyato; Han Yu 001 (DASFAA (2), 2022)

Joint Client Selection and Resource Allocation for Federated Learning in Mobile Edge Networks. - Long Luo; Qingqing Cai; Zonghang Li; Hongfang Yu (WCNC, 2022)

CoFED: Cross-silo Heterogeneous Federated Multi-task Learning via Co-training. - Xingjian Cao; Zonghang Li; Hongfang Yu; Gang Sun 001 (CoRR, 2022)

Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT. - Zonghang Li; Yihong He; Hongfang Yu; Jiawen Kang 001; Xiaoping Li 002; Zenglin Xu; Dusit Niyato (IEEE Internet Things J., 2022)

FedGS: A federated group synchronization framework for heterogeneous data. - Zonghang Li; Yihong He (Softw. Impacts, 2022)

ESync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data Centers. - Zonghang Li; Huaman Zhou; Tianyao Zhou; Hongfang Yu; Zenglin Xu; Gang Sun 001 (IEEE Trans. Serv. Comput., 2022)

Graph Learning Enhanced UAV Swarms Based Multiple Targets Tracking. - Longyu Zhou; Supeng Leng; Zonghang Li; Hongyang Du; Dusit Niyato (GLOBECOM, 2023)

Enabling AI-Generated Content (AIGC) Services in Wireless Edge Networks. - Hongyang Du; Zonghang Li; Dusit Niyato; Jiawen Kang 001; Zehui Xiong; Xuemin Shen; Dong In Kim (CoRR, 2023)

Generative AI-aided Optimization for AI-Generated Content (AIGC) Services in Edge Networks. - Hongyang Du; Zonghang Li; Dusit Niyato; Jiawen Kang 001; Zehui Xiong; Huawei Huang; Shiwen Mao (CoRR, 2023)

Beyond Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization. - Hongyang Du; Ruichen Zhang; Yinqiu Liu; Jiacheng Wang 001; Yijing Lin; Zonghang Li; Dusit Niyato; Jiawen Kang 001; Zehui Xiong; Shuguang Cui; Bo Ai 001; Haibo Zhou; et al. (CoRR, 2023)

Personalized Saliency in Task-Oriented Semantic Communications: Image Transmission and Performance Analysis. - Jiawen Kang 001; Hongyang Du; Zonghang Li; Zehui Xiong; Shiyao Ma; Dusit Niyato; Yuan Li (IEEE J. Sel. Areas Commun., 2023)

HFedMS: Heterogeneous Federated Learning With Memorable Data Semantics in Industrial Metaverse. - Shenglai Zeng; Zonghang Li; Hongfang Yu; Zhihao Zhang; Long Luo; Bo Li 001; Dusit Niyato (IEEE Trans. Cloud Comput., 2023)

NBSync: Parallelism of Local Computing and Global Synchronization for Fast Distributed Machine Learning in WANs. - Huaman Zhou; Zonghang Li; Hongfang Yu; Long Luo; Gang Sun 001 (IEEE Trans. Serv. Comput., 2023)

Cross-silo heterogeneous model federated multitask learning. - Xingjian Cao; Zonghang Li; Gang Sun 001; Hongfang Yu; Mohsen Guizani (Knowl. Based Syst., 2023)

Blockchain-Based Decentralized and Lightweight Anonymous Authentication for Federated Learning. - Mochan Fan; Zhipeng Zhang; Zonghang Li; Gang Sun 001; Hongfang Yu; Mohsen Guizani (IEEE Trans. Veh. Technol., 2023)

Collaborative Multimodal Vehicular Transformer Training Using Federated Learning. - Xingjian Cao; Zonghang Li; Gang Sun 001; Hongfang Yu (VTC Spring, 2024)

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization. - Hongyang Du; Ruichen Zhang; Yinqiu Liu; Jiacheng Wang 001; Yijing Lin; Zonghang Li; Dusit Niyato; Jiawen Kang 001; Zehui Xiong; Shuguang Cui; Bo Ai 001; Haibo Zhou; et al. (IEEE Commun. Surv. Tutorials, 2024)

AMSNet: Netlist Dataset for AMS Circuits. - Zhuofu Tao; Yichen Shi; Yiru Huo; Rui Ye; Zonghang Li; Li Huang; Chen Wu; Na Bai; Zhiping Yu; Ting-Jung Lin; Lei He (CoRR, 2024)

Log2graphs: An Unsupervised Framework for Log Anomaly Detection with Efficient Feature Extraction. - Caihong Wang; Du Xu; Zonghang Li (CoRR, 2024)

TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices. - Zonghang Li; Wenjiao Feng; Mohsen Guizani; Hongfang Yu (CoRR, 2024)

ESIA: An Efficient and Stable Identity Authentication for Internet of Vehicles. - Haoxiang Luo; Jin Zhang 001; Xinling Li; Zonghang Li; Hongfang Yu; Gang Sun 001; Dusit Niyato (IEEE Trans. Veh. Technol., 2024)

Effective Intrusion Detection in Highly Imbalanced IoT Networks With Lightweight S2CGAN-IDS. - Caihong Wang; Du Xu; Zonghang Li; Dusit Niyato (IEEE Internet Things J., 2024)

Enabling AI-Generated Content Services in Wireless Edge Networks. - Hongyang Du; Zonghang Li; Dusit Niyato; Jiawen Kang 001; Zehui Xiong; Xuemin Shen; Dong In Kim (IEEE Wirel. Commun., 2024)

Diffusion-Based Reinforcement Learning for Edge-Enabled AI-Generated Content Services. - Hongyang Du; Zonghang Li; Dusit Niyato; Jiawen Kang 001; Zehui Xiong; Huawei Huang; Shiwen Mao (IEEE Trans. Mob. Comput., 2024)

Accelerating Geo-Distributed Machine Learning With Network-Aware Adaptive Tree and Auxiliary Route. - Zonghang Li; Wenjiao Feng; Weibo Cai; Hongfang Yu; Long Luo; Gang Sun 001; Hongyang Du; Dusit Niyato (IEEE/ACM Trans. Netw., 2024)

Energy-Efficient Hierarchical Collaborative Learning Over LEO Satellite Constellations. - Long Luo; Chi Zhang; Hongfang Yu; Zonghang Li; Gang Sun 001; Shouxi Luo (IEEE J. Sel. Areas Commun., 2024)

TopoDT: Digital Twin-Assisted UAV Topology Optimization for Targets Tracking. - Longyu Zhou; Supeng Leng; Zonghang Li; Tony Q. S. Quek (IWCMC, 2025)

SecureVFL: Privacy-preserving multi-party vertical federated learning based on blockchain and RSS. - Mochan Fan; Zhipeng Zhang; Zonghang Li; Gang Sun 001; Hongfang Yu; Jiawen Kang 001; Mohsen Guizani (Digit. Commun. Networks, 2025)

PRIMA.CPP: Speeding Up 70B-Scale LLM Inference on Low-Resource Everyday Home Clusters. - Zonghang Li; Tao Li; Wenjiao Feng; Mohsen Guizani; Hongfang Yu (CoRR, 2025)

Learning in Chaos: Efficient Autoscaling and Self-healing for Distributed Training at the Edge. - Wenjiao Feng; Rongxing Xiao; Zonghang Li; Hongfang Yu; Gang Sun 001; Long Luo; Mohsen Guizani; Qirong Ho (CoRR, 2025)

KlonetAI: Automating (Com)2Nets Management With Human Language Intents. - Qing Li 068; Yanxu Xiong; Zonghang Li; Chongxi Ma; Hongfang Yu; Gang Sun 001; Long Luo; Zhaofeng Zhang (IEEE Netw., 2025)