Optimizing Federated Learning on Device Heterogeneity with A Sampling Strategy. - Xiaohui Xu; Sijing Duan; Jinrui Zhang; Yunzhen Luo; Deyu Zhang (IWQoS, 2021)

Deep action: A mobile action recognition framework using edge offloading. - Deyu Zhang; Heguo Zhang; Sijing Duan; Yunzhen Luo; Fucheng Jia; Feng Liu (Peer-to-Peer Netw. Appl., 2022)

BatOpt: Optimizing GPU-Based Deep Learning Inference Using Dynamic Batch Processing. - Deyu Zhang; Yunzhen Luo; Yaobo Wang; Xiaoyan Kui; Ju Ren 001 (IEEE Trans. Cloud Comput., 2024)

BEAST-GNN: A United Bit Sparsity-Aware Accelerator for Graph Neural Networks. - Yunzhen Luo; Yan Ding 004; Zhuo Tang; Keqin Li 001; Kenli Li 001; Chubo Liu (IEEE Trans. Computers, 2025)