Application of SCMA Based on LoRaWAN Architecture. - Minhao Jin; Libo Fan; Shaojie Luo; Xiaotian Guo (CECNet, 2022)

Hierarchical Design Space Exploration for Distributed CNN Inference at the Edge. - Xiaotian Guo; Andy D. Pimentel; Todor P. Stefanov (PKDD/ECML Workshops (1), 2022)

AutoDiCE: Fully Automated Distributed CNN Inference at the Edge. - Xiaotian Guo; Andy D. Pimentel; Todor P. Stefanov (CoRR, 2022)

The Effects of Partitioning Strategies on Energy Consumption in Distributed CNN Inference at The Edge. - Erqian Tang; Xiaotian Guo; Todor P. Stefanov (CoRR, 2022)

Automated Exploration and Implementation of Distributed CNN Inference at the Edge. - Xiaotian Guo; Andy D. Pimentel; Todor P. Stefanov (IEEE Internet Things J., 2023)

RobustDiCE: Robust and Distributed CNN Inference at the Edge. - Xiaotian Guo; Quan Jiang; Andy D. Pimentel; Todor P. Stefanov (ASPDAC, 2024)

EASTER: Learning to Split Transformers at the Edge Robustly. - Xiaotian Guo; Quan Jiang; Yixian Shen; Andy D. Pimentel; Todor P. Stefanov (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Random access based on sparse code multiple access for uplink IoT networks. - Qihua Huang; Xiaotian Guo; Dejian Li; Yongli Chen; Liancheng Wang; Bin Bai; Gang Xie (Int. J. Sens. Networks, 2025)

Model and system robustness in distributed CNN inference at the edge. - Xiaotian Guo; Quan Jiang; Andy D. Pimentel; Todor P. Stefanov (Integr., 2025)