Privacy Preserving Federated Learning Framework Based on Multi-chain Aggregation. - Yingchun Cui; Jinghua Zhu (DASFAA (1), 2023)

A Dexterous Hybrid Attention Transformer For MRI Super-resolution Of Brain Tumors. - Mingxuan Li; Jinbao Li; Yingchun Cui (IPCCC, 2024)

MChain-SFFL: Multi-Chain Aggregation Privacy Preserving for Server-Free Federated Learning. - Yingchun Cui; Jinghua Zhu (IEEE Trans. Netw. Serv. Manag., 2024)

Optimal Transport-Driven Federated Out-of-Distribution Detection in Heterogeneous Data. - Yuan He; Yingchun Cui; Zhengda Wu; Heran Xi; Jinghua Zhu (ICMR, 2025)

A Frequency-Based Approach for Federated Domain Generalization in Heterogeneous Medical Imaging. - Donghao Wang; Yingchun Cui; Zhengda Wu; Heran Xi; Jinghua Zhu (ICMR, 2025)

Out-of-Distribution Detection for Open-Set Semi-Supervised Medical Image Classification. - Jiawei Zhang; Yingchun Cui; Zhengda Wu; Heran Xi; Jinghua Zhu (ICMR, 2025)

Multilayer Context Network: A New Approach for Gait Phase Detection. - Xiaowei Liu; Jinbao Li; Yingchun Cui (WASA (3), 2025)

FLAV: Federated Learning for Autonomous Vehicle privacy protection. - Yingchun Cui; Jinghua Zhu; Jinbao Li (Ad Hoc Networks, 2025)

A multi-stage progressive multi-attention transformer for optical magnification medical images super-resolution. - Mingxuan Li; Jinbao Li; Yingchun Cui (Biomed. Signal Process. Control., 2025)