FedSemi: An Adaptive Federated Semi-Supervised Learning Framework. - Zewei Long; Liwei Che; Yaqing Wang 001; Muchao Ye; Junyu Luo 001; Jinze Wu; Houping Xiao; Fenglong Ma (CoRR, 2020)

FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. - Liwei Che; Zewei Long; Jiaqi Wang 002; Yaqing Wang 001; Houping Xiao; Fenglong Ma (IEEE BigData, 2021)

Reducing variations in multi-center Alzheimer's disease classification with convolutional adversarial autoencoder. - Bernard Cobbinah Mawuli; Christian Sorg; Qinli Yang; Arvid Ternblom; Changgang Zheng; Wei Han 009; Liwei Che; Junming Shao (Medical Image Anal., 2022)

Towards Personalized Federated Learning via Heterogeneous Model Reassembly. - Jiaqi Wang 002; Xingyi Yang; Suhan Cui; Liwei Che; Lingjuan Lyu; Dongkuan Xu; Fenglong Ma (NeurIPS, 2023)

Multimodal Federated Learning: A Survey. - Liwei Che; Jiaqi Wang 002; Yao Zhou; Fenglong Ma (Sensors, 2023)

FedStream: Prototype-Based Federated Learning on Distributed Concept-Drifting Data Streams. - Cobbinah Bernard Mawuli; Liwei Che; Jay Kumar; Salah Ud Din; Zhili Qin; Qinli Yang; Junming Shao (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality. - Liwei Che; Jiaqi Wang 002; Xinyue Liu 002; Fenglong Ma (ECML/PKDD (9), 2024)

EAZY: Eliminating Hallucinations in LVLMs by Zeroing out Hallucinatory Image Tokens. - Liwei Che; Tony Qingze Liu; Jing Jia; Weiyi Qin; Ruixiang Tang; Vladimir Pavlovic 001 (CoRR, 2025)