论文论著Selected Publications

精选展示课题组近期已录用与发表的代表性研究工作。完整成果可进一步参考教师学术主页。Selected recent and representative publications of the team. For a complete publication list, please refer to faculty academic profiles.

近期已录用研究工作Recent Accepted Works

PublicationPublication

2026

Re-architecting Personalized Federated Learning for Demanding Edge Environments

Quyang Pan, Sheng Sun, Tingting Wu, Zhiyuan Wu, Yuwei Wang*, Min Liu, Bo Gao, and Jingyuan Wang

Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF-A)

2025

Recursive Offloading for LLM Serving in Multi-tier Networks

Zhiyuan Wu, Sheng Sun, Yuwei Wang*, Min Liu, Bo Gao, Jinda Lu, Tingting Wu*, Zheming Yang, and Tian Wen

IEEE Transactions on Mobile Computing (TMC), 2025. (CCF-A)

Representation Optimal Transport for Federated Learning with Noisy Labels in Remote Sensing

Xuefeng Jiang, Tian Wen, Sheng Sun, Jinliang Yuan, Huashuo Liu, Peng Li, Lyhua Wu, Yuwei Wang, and Min Liu

IEEE Transactions on Mobile Computing (TMC), 2025. (CCF-A)

Learnable Sparse Customization for Heterogeneous Federated Learning

Jingjing Xue, Sheng Sun, Min Liu, Yuwei Wang, Zhuotao Liu, and Jingyuan Wang

IEEE International Conference on Data Engineering (ICDE), 2025. (CCF-A)

Burst-Sensitive Traffic Forecast via Multi-Property Personalized Fusion in Federated Learning

Jingjing Xue, Sheng Sun, Min Liu, Yuwei Wang, Xuying Meng, Jingyuan Wang, Junbo Zhang, and Ke Xu

IEEE Transactions on Mobile Computing (TMC), 2025. (CCF-A)

Energy-Efficient Over-the-Air Computation in UAV-Assisted IoT Networks

Yali Chen, Sheng Sun, Min Liu, Bo Ai, Yuwei Wang, and Yunhao Liu

IEEE Transactions on Mobile Computing (TMC), 2025. (CCF-A)

2024

Tackling Noisy Clients in Federated Learning with End-to-end Label Correction

Xuefeng Jiang, Sheng Sun, Jia Li, Jingjing Xue, Runhan Li, Zhiyuan Wu, Gang Xu, Yuwei Wang, and Min Liu

ACM International Conference on Information and Knowledge Management (ACM CIKM'24)

Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration

Zhiyuan Wu, Sheng Sun, Yuwei Wang*, Min Liu, Bo Gao, Quyang Pan, Tianliu He, and Xuefeng Jiang

IEEE INFOCOM'24

Reliable and Energy-Efficient Communications in Mobile Robotic Networks by Collaborative Beamforming

Min He, Yali Chen, Min Liu, Xiaokun Fan, and Yuchen Zhu

ACM Transactions on Sensor Networks (ACM TOSN)

Online Spatio-temporal Correlation-based Federated Learning for Traffic Flow Forecasting

Qingxiang Liu, Sheng Sun, Min Liu, Yuwei Wang, and Bo Gao

IEEE Transactions on Intelligent Transportation Systems (IEEE TITS)

Staleness-Controlled Asynchronous Federated Learning: Accuracy and Efficiency Tradeoff

Sheng Sun, Zengqi Zhang, Quyang Pan, Min Liu, Yuwei Wang, Tianliu He, Yali Chen, and Zhiyuan Wu

IEEE Transactions on Mobile Computing (IEEE TMC)

Adaptive Bitrate Video Caching in UAV-Assisted MEC Networks Based on Distributionally Robust Optimization

Yali Chen, Min Liu, Bo Ai, Yuwei Wang, Sheng Sun

IEEE Transactions on Mobile Computing (IEEE TMC)

UAV-Enabled Federated Learning in Dynamic Environments: Efficiency and Security Trade-off

Xiaokun Fan, Yali Chen, Min Liu, Sheng Sun, Zhuotao Liu, Ke Xu, Zhongcheng Li

IEEE Transactions on Vehicular Technology (IEEE TVT)

Collaborative Non-chain DNN Inference with Multi-device Based on Layer Parallel

Qiuping Zhang, Sheng Sun, Junjie Luo, Min Liu, Zhongcheng Li, Huan Yang, Yuwei Wang

Digital Communications and Networks (DCN)

2023

FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence

Zhiyuan Wu, Sheng Sun, Yuwei Wang*, Min Liu, Ke Xu, Wen Wang, Xuefeng Jiang, Bo Gao, and Jinda Lu

IEEE Transactions on Mobile Computing (IEEE TMC)

FedICT: Federated Multi-task Distillation for Multi-access Edge Computing

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Quyang Pan, Xuefeng Jiang, Bo Gao

IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS)

MJOA-MU: End-to-edge Collaborative Computation for DNN Inference Based on Model Uploading

Huan Yang, Sheng Sun, Min Liu, Qiuping Zhang, Yuwei Wang

Computer Networks

FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization

Xujing Li, Min Liu, Sheng Sun, Yuwei Wang, Hui Jiang, Xuefeng Jiang

IEEE IPDPS'23

FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout

Jingjing Xue, Min Liu, Sheng Sun, Yuwei Wang, Hui Jiang, Xuefeng Jiang

IEEE IPDPS'23

2022 and Earlier

Towards Federated Learning Against Noisy Labels via Local Self-regularization

Xuefeng Jiang, Sheng Sun, Yuwei Wang, Min Liu

ACM CIKM'22

Network Lifetime Optimization in Multi-hop Industrial Cognitive Radio Sensor Networks

Zengqi Zhang, Sheng Sun, Min Liu, Zhongcheng Li

ACM Transactions on Sensor Networks

FedSyL: Computation-efficient Federated Synergy Learning on Heterogeneous IoT Devices

Hui Jiang, Min Liu, Sheng Sun, Yuwei Wang, Xiaobing Guo

IEEE/ACM IWQoS'22

Geographic Position Based Hopless Opportunistic Routing for UAV Networks

Xiao Pang, Min Liu, Zhongcheng Li, Bo Gao, Xiaobing Guo

Ad Hoc Networks'21

面向多边缘设备协作的任务卸载和服务缓存在线联合优化机制

张秋平，孙胜，刘敏，李忠诚，张曾琪

计算机研究与发展

Customized Federated Learning for Accelerated Edge Computing with Heterogeneous Task Targets

Hui Jiang, Min Liu, Bo Yang, Qingxiang Liu, Jizhong Li, Xiaobing Guo

Computer Networks

Pharos: A Rapid Neighbor Discovery Algorithm for Power-restricted Wireless Sensor Networks

Yuchen Zhu, Bo Yang, Min Liu, Zhongcheng Li

SECON'19