FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning. - Jieming Bian; Zhu Fu; Jie Xu 001 (CoRR, 2021)

Mobility Improves the Convergence of Asynchronous Federated Learning. - Jieming Bian; Jie Xu 001 (CoRR, 2022)

Mobility-Assisted Federated Learning for Vehicular Edge Computing. - Jieming Bian; Jie Xu 001 (ACSSC, 2023)

Federated Learning via Indirect Server-Client Communications. - Jieming Bian; Cong Shen 001; Jie Xu 001 (CISS, 2023)

Client Clustering for Energy-Efficient Clustered Federated Learning in Wireless Networks. - Jieming Bian; Jie Xu 001 (UbiComp/ISWC Adjunct, 2023)

Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning. - Jieming Bian; Cong Shen 001; Jie Xu 001 (CoRR, 2023)

CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers. - Jieming Bian; Shaolei Ren; Jie Xu 001 (CoRR, 2023)

CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers✱. - Jieming Bian; Lei Wang 199; Shaolei Ren; Jie Xu 001 (e-Energy, 2024)

Fedmm: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology. - Yuanzhe Peng; Jieming Bian; Jie Xu 001 (ICASSP, 2024)

Federated Learning with Instance-Dependent Noisy Label. - Lei Wang 199; Jieming Bian; Jie Xu 001 (ICASSP, 2024)

Adaptive User-Centric Entanglement Routing in Quantum Data Networks. - Lei Wang 199; Jieming Bian; Jie Xu 001 (ICDCS, 2024)

Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains. - Lei Wang 199; Jieming Bian; Letian Zhang; Chen Chen 001; Jie Xu 001 (NeurIPS, 2024)

Computation and Communication Efficient Lightweighting Vertical Federated Learning. - Heqiang Wang; Jieming Bian; Lei Wang (CoRR, 2024)

Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learning. - Jieming Bian; Lei Wang; Jie Xu (CoRR, 2024)

LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement. - Jieming Bian; Lei Wang; Letian Zhang; Jie Xu (CoRR, 2024)

Accelerating Hybrid Federated Learning Convergence Under Partial Participation. - Jieming Bian; Lei Wang 199; Kun Yang 011; Cong Shen 001; Jie Xu 001 (IEEE Trans. Signal Process., 2024)

On the Local Cache Update Rules in Streaming Federated Learning. - Heqiang Wang; Jieming Bian; Jie Xu 001 (IEEE Internet Things J., 2024)

Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying. - Jieming Bian; Jie Xu 001 (IEEE Trans. Veh. Technol., 2024)

Hybrid Federated Learning for Multimodal IoT Systems. - Yuanzhe Peng; Yusen Wu; Jieming Bian; Jie Xu 001 (IEEE Internet Things J., 2024)

FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-the-World LoRA. - Jieming Bian; Lei Wang; Letian Zhang; Jie Xu (CoRR, 2025)

A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning. - Jieming Bian; Yuanzhe Peng; Lei Wang; Yin Huang; Jie Xu (CoRR, 2025)

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms. - Yuanzhe Peng; Jieming Bian; Lei Wang; Yin Huang; Jie Xu (CoRR, 2025)

Indirect-Communication Federated Learning via Mobile Transporters. - Jieming Bian; Cong Shen 001; Mingzhe Chen; Jie Xu 001 (IEEE Trans. Mob. Comput., 2025)