SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning. - Hanhe Lin; Vlad Hosu; Chunling Fan; Yun Zhang 002; Yuchen Mu; Raouf Hamzaoui; Dietmar Saupe (CoRR, 2020)

SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning. - Hanhe Lin; Vlad Hosu; Chunling Fan; Yun Zhang 002; Yuchen Mu; Raouf Hamzaoui; Dietmar Saupe (Qual. User Exp., 2020)

Communication-Efficient Federated Learning For Massive MIMO Systems. - Yuchen Mu; Navneet Garg 001; Tharmalingam Ratnarajah (WCNC, 2022)

FDRdb: a manually curated database of fibrotic disease-associated RNAome and high-throughput datasets. - Chengyu Wang 004; Tingting Chen; Yuchen Mu; Xuan Liang; Kai Xiong; Liqiang Ai; Yunyan Gu; Xingxing Fan; Haihai Liang (Database J. Biol. Databases Curation, 2022)

Federated Learning in Massive MIMO 6G Networks: Convergence Analysis and Communication-Efficient Design. - Yuchen Mu; Navneet Garg 001; Tharmalingam Ratnarajah (IEEE Trans. Netw. Sci. Eng., 2022)

Communication Channel-Aware Federated Distillation For Massive MIMO Systems. - Yuchen Mu; Navneet Garg 001; Tharmalingam Ratnarajah (SPAWC, 2023)

Optimizing Efficiency through Adaptive Model Pruning in Fully Distributed Federated Learning. - Yuchen Mu; Xiaonan Liu; Tharmalingam Ratnarajah (SPAWC, 2024)

Federated Distillation in Massive MIMO Networks: Dynamic Training, Convergence Analysis, and Communication Channel-Aware Learning. - Yuchen Mu; Navneet Garg 001; Tharmalingam Ratnarajah (IEEE Trans. Cogn. Commun. Netw., 2024)