Social Welfare Maximization in Container-Based Task Scheduling for Parked Vehicle Edge Computing. - Xumin Huang; Peichun Li; Rong Yu 001 (IEEE Commun. Lett., 2019)

FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing. - Peichun Li; Xumin Huang; Miao Pan; Rong Yu 001 (GLOBECOM, 2021)

Toward Resource-Efficient Federated Learning in Mobile Edge Computing. - Rong Yu 001; Peichun Li (IEEE Netw., 2021)

FedParking: A Federated Learning Based Parking Space Estimation With Parked Vehicle Assisted Edge Computing. - Xumin Huang; Peichun Li; Rong Yu 001; Yuan Wu 001; Kan Xie; Shengli Xie (IEEE Trans. Veh. Technol., 2021)

A Survey on Integrated Sensing, Communication, and Computing Networks for Smart Oceans. - Minghui Dai; Yang Li 049; Peichun Li; Yuan Wu 001; Li Ping Qian 001; Bin Lin 001; Zhou Su (J. Sens. Actuator Networks, 2022)

FAST: Fidelity-Adjustable Semantic Transmission Over Heterogeneous Wireless Networks. - Peichun Li; Guoliang Cheng; Jiawen Kang 001; Rong Yu 001; Li Ping Qian 001; Yuan Wu 001; Dusit Niyato (ICC, 2023)

AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices. - Peichun Li; Guoliang Cheng; Xumin Huang; Jiawen Kang 001; Rong Yu 001; Yuan Wu 001; Miao Pan (INFOCOM, 2023)

Camera-Selecting Device-Edge Co-Inference for Real-Time Multi-Camera 3D Pose Estimation. - Zhuohang Du; Xumin Huang; Yuan Wu 001; Pengcheng Tan; Peichun Li; Liping Qian 001; Haibo Zhou (VTC Fall, 2023)

FedRelay: Federated Relay Learning for 6G Mobile Edge Intelligence. - Peichun Li; Yupei Zhong; Chaorui Zhang; Yuan Wu 001; Rong Yu 001 (IEEE Trans. Veh. Technol., 2023)

Snowball: Energy Efficient and Accurate Federated Learning With Coarse-to-Fine Compression Over Heterogeneous Wireless Edge Devices. - Peichun Li; Guoliang Cheng; Xumin Huang; Jiawen Kang 001; Rong Yu 001; Yuan Wu 001; Miao Pan; Dusit Niyato (IEEE Trans. Wirel. Commun., 2023)

Efficient Federated Learning with Cost-Adjustable Generative AI over Heterogeneous Edge Devices. - Hanwen Zhang 006; Peichun Li; Jiawen Kang 001; Liping Qian 001; Yuan Wu 001; Dusit Niyato (NPC (2), 2024)

Quantum-Empowered Federated Learning in Space-Air-Ground Integrated Networks. - Tianshun Wang; Peichun Li; Yuan Wu 001; Li Ping Qian 001; Zhou Su; Rongxing Lu (IEEE Netw., 2024)

Split Learning with Differential Privacy for Integrated Terrestrial and Non-Terrestrial Networks. - Maoqiang Wu; Guoliang Cheng; Peichun Li; Rong Yu 001; Yuan Wu 001; Miao Pan; Rongxing Lu (IEEE Wirel. Commun., 2024)

Federated Learning-Empowered AI-Generated Content in Wireless Networks. - Xumin Huang; Peichun Li; Hongyang Du; Jiawen Kang 001; Dusit Niyato; Dong In Kim; Yuan Wu 001 (IEEE Netw., 2024)

Filling the Missing: Exploring Generative AI for Enhanced Federated Learning Over Heterogeneous Mobile Edge Devices. - Peichun Li; Hanwen Zhang 006; Yuan Wu 001; Li Ping Qian 001; Rong Yu 001; Dusit Niyato; Xuemin Shen (IEEE Trans. Mob. Comput., 2024)

Efficient Federated Learning With Quality-Aware Generated Models: An Incentive Mechanism. - Hanwen Zhang 006; Peichun Li; Minghui Dai; Yuan Wu 001; Li Ping Qian 001 (IEEE Internet Things J., 2025)

FlexGen: Efficient On-Demand Generative AI Service With Flexible Diffusion Model in Mobile Edge Networks. - Peichun Li; Huanyu Dong; Li Ping Qian 001; Sheng Zhou 001; Yuan Wu 001 (IEEE Trans. Cogn. Commun. Netw., 2025)

Snowball Effect in Federated Learning: An Approach of Exponentially Expanding Structures for Optimizing the Training Efficiency. - Guoliang Cheng; Peichun Li; Beihai Tan; Rong Yu 001; Yuan Wu 001; Miao Pan (IEEE Trans. Cogn. Commun. Netw., 2025)