From Motion Patterns to Visual Concepts for Event Analysis in Dynamic Scenes. - Lun Xin; Tieniu Tan (ACCV (1), 2006)

Semi-supervised Learning on Semantic Manifold for Event Analysis in Dynamic Scenes. - Lun Xin; Tieniu Tan (CVPR, 2007)

Clustered Federated Learning Based on Data Distribution. - Lu Yu; Wenjing Nie; Lun Xin; Manxue Guo (AISS, 2021)

A Safe Architecture of 5G Network Intelligence Based on Federated Learning and NWDAF. - Lu Yu; Lun Xin; Manxue Guo (AISS, 2022)

Federated Learning with Sample-Level Class Balancing Aggregation. - Tong Liu; Wei Yu 001; Jiasheng Chen; Lun Xin; Fei Yu; Yinfei Xu (SPCNC, 2023)

Communication Efficient Federated Learning Based on Combination of Structural Sparsification and Hybrid Quantization Sensing. - Tingting Wu; Wei Yu 001; Manxue Guo; Wenjing Nie; Zimeng Jia; Lun Xin (TrustCom, 2023)

Masking-enabled Data Protection Approach for Accurate Split Learning. - Shuhan Liu; Lun Xin; Xinchen Lyu; Chenshan Ren (WCNC, 2023)

Rate distortion optimization for adaptive gradient quantization in federated learning. - Guojun Chen; Kaixuan Xie; Wenqiang Luo; Yinfei Xu; Lun Xin; Tiecheng Song; Jing Hu 002 (Digit. Commun. Networks, 2024)

NQFL: Nonuniform Quantization for Communication Efficient Federated Learning. - Guojun Chen; Kaixuan Xie; Yuheng Tu; Tiecheng Song; Yinfei Xu; Jing Hu 002; Lun Xin (IEEE Commun. Lett., 2024)

Towards practical data alignment in production federated learning. - Yexuan Shi; Wei Yu 001; Yuanyuan Zhang 013; Chunbo Xue; Yuxiang Zeng; Zimu Zhou; Manxue Guo; Lun Xin; Wenjing Nie (Frontiers Comput. Sci., 2025)

Resource-Aware Personalized Federated Learning Based on Reinforcement Learning. - Tingting Wu; Xiao Li; Pengpei Gao; Wei Yu; Lun Xin; Manxue Guo (IEEE Commun. Lett., 2025)