Peichun Li

29 papers A* 2B 1Journal 23Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Integrated Sensing and Communication for Satellite-Terrestrial Integrated Network With Multi-Access Mobile Edge Computing.
IEEE Internet Things J.
Ning Huang, Peichun Li, Liping Qian, Yuzheng Ren, Yuan Wu
2026 J jnl
Toward Resource-Efficient Collaboration of Large AI Models in Mobile Edge Networks.
CoRR
Peichun Li, Liping Qian, Dusit Niyato, Shiwen Mao, Yuan Wu
2025 J jnl
Compression Meets Security: Low-Complexity Linear Collaborative Federated Learning With Enhanced Accuracy.
IEEE Trans. Mob. Comput.
Tianshun Wang, Peichun Li, Panpan Feng, Xin Wei, Li Ping Qian, Yuan Wu
2025 J jnl
Efficient Federated Learning With Quality-Aware Generated Models: An Incentive Mechanism.
IEEE Internet Things J.
Hanwen Zhang, Peichun Li, Minghui Dai, Yuan Wu, Li Ping Qian
2025 J jnl
FlexGen: Efficient On-Demand Generative AI Service With Flexible Diffusion Model in Mobile Edge Networks.
IEEE Trans. Cogn. Commun. Netw.
Peichun Li, Huanyu Dong, Li Ping Qian, Sheng Zhou, Yuan Wu
2025 J jnl
Integrating Generative AI with Network Digital Twin for 6G: An Edge-Cloud Collaborative Approach.
IEEE Commun. Mag.
Wanqing Guan, Peichun Li, Haijun Zhang, Yuan Wu
2025 J jnl
Snowball Effect in Federated Learning: An Approach of Exponentially Expanding Structures for Optimizing the Training Efficiency.
IEEE Trans. Cogn. Commun. Netw.
Guoliang Cheng, Peichun Li, Beihai Tan, Rong Yu, Yuan Wu, Miao Pan
2025 A* conf
VimGeo: Efficient Cross-View Geo-Localization with Vision Mamba Architecture.
IJCAI
Jinglin Huang, Maoqiang Wu, Peichun Li, Wen Wu, Rong Yu
2024 — conf
Efficient Federated Learning with Cost-Adjustable Generative AI over Heterogeneous Edge Devices.
NPC (2)
Hanwen Zhang, Peichun Li, Jiawen Kang, Liping Qian, Yuan Wu, Dusit Niyato
2024 J jnl
Federated Learning-Empowered AI-Generated Content in Wireless Networks.
IEEE Netw.
Xumin Huang, Peichun Li, Hongyang Du, Jiawen Kang, Dusit Niyato, Dong In Kim, Yuan Wu
2024 J jnl
Filling the Missing: Exploring Generative AI for Enhanced Federated Learning Over Heterogeneous Mobile Edge Devices.
IEEE Trans. Mob. Comput.
Peichun Li, Hanwen Zhang, Yuan Wu, Li Ping Qian, Rong Yu, Dusit Niyato, Xuemin Shen
2024 J jnl
Quantum-Empowered Federated Learning in Space-Air-Ground Integrated Networks.
IEEE Netw.
Tianshun Wang, Peichun Li, Yuan Wu, Li Ping Qian, Zhou Su, Rongxing Lu
2024 J jnl
Split Learning with Differential Privacy for Integrated Terrestrial and Non-Terrestrial Networks.
IEEE Wirel. Commun.
Maoqiang Wu, Guoliang Cheng, Peichun Li, Rong Yu, Yuan Wu, Miao Pan, Rongxing Lu
2023 A* conf
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices.
INFOCOM
Peichun Li, Guoliang Cheng, Xumin Huang, Jiawen Kang, Rong Yu, Yuan Wu, Miao Pan
2023 J jnl
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices.
CoRR
Peichun Li, Guoliang Cheng, Xumin Huang, Jiawen Kang, Rong Yu, Yuan Wu, Miao Pan
2023 — conf
Camera-Selecting Device-Edge Co-Inference for Real-Time Multi-Camera 3D Pose Estimation.
VTC Fall
Zhuohang Du, Xumin Huang, Yuan Wu, Pengcheng Tan, Peichun Li, Liping Qian, Haibo Zhou
2023 — conf
FAST: Fidelity-Adjustable Semantic Transmission Over Heterogeneous Wireless Networks.
ICC
Peichun Li, Guoliang Cheng, Jiawen Kang, Rong Yu, Li Ping Qian, Yuan Wu, Dusit Niyato
2023 J jnl
FAST: Fidelity-Adjustable Semantic Transmission over Heterogeneous Wireless Networks.
CoRR
Peichun Li, Guoliang Cheng, Jiawen Kang, Rong Yu, Liping Qian, Yuan Wu, Dusit Niyato
2023 J jnl
FedRelay: Federated Relay Learning for 6G Mobile Edge Intelligence.
IEEE Trans. Veh. Technol.
Peichun Li, Yupei Zhong, Chaorui Zhang, Yuan Wu, Rong Yu
2023 J jnl
Federated Learning-Empowered AI-Generated Content in Wireless Networks.
CoRR
Xumin Huang, Peichun Li, Hongyang Du, Jiawen Kang, Dusit Niyato, Dong In Kim, Yuan Wu
2023 J jnl
Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices.
CoRR
Peichun Li, Hanwen Zhang, Yuan Wu, Liping Qian, Rong Yu, Dusit Niyato, Xuemin Shen
2023 J jnl
Snowball: Energy Efficient and Accurate Federated Learning With Coarse-to-Fine Compression Over Heterogeneous Wireless Edge Devices.
IEEE Trans. Wirel. Commun.
Peichun Li, Guoliang Cheng, Xumin Huang, Jiawen Kang, Rong Yu, Yuan Wu, Miao Pan, Dusit Niyato
2022 J jnl
A Survey on Integrated Sensing, Communication, and Computing Networks for Smart Oceans.
J. Sens. Actuator Networks
Minghui Dai, Yang Li, Peichun Li, Yuan Wu, Li Ping Qian, Bin Lin, Zhou Su
2021 B conf
FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing.
GLOBECOM
Peichun Li, Xumin Huang, Miao Pan, Rong Yu
2021 J jnl
FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing.
CoRR
Peichun Li, Xumin Huang, Miao Pan, Rong Yu
2021 J jnl
FedParking: A Federated Learning Based Parking Space Estimation With Parked Vehicle Assisted Edge Computing.
IEEE Trans. Veh. Technol.
Xumin Huang, Peichun Li, Rong Yu, Yuan Wu, Kan Xie, Shengli Xie
2021 J jnl
FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing.
CoRR
Xumin Huang, Peichun Li, Rong Yu, Yuan Wu, Kan Xie, Shengli Xie
2021 J jnl
Toward Resource-Efficient Federated Learning in Mobile Edge Computing.
IEEE Netw.
Rong Yu, Peichun Li
2019 J jnl
Social Welfare Maximization in Container-Based Task Scheduling for Parked Vehicle Edge Computing.
IEEE Commun. Lett.
Xumin Huang, Peichun Li, Rong Yu