An Efficient Mobile Cloud Service Model or Tactical Edge. - Bo Du; Nanliang Shan; Sha Zhou (INCoS, 2019)

"DRL + FL": An intelligent resource allocation model based on deep reinforcement learning for Mobile Edge Computing. - Nanliang Shan; Xiaolong Cui; Zhiqiang Gao (Comput. Commun., 2020)

Collaborative Intelligence: Accelerating Deep Neural Network Inference via Device-Edge Synergy. - Nanliang Shan; Zecong Ye; Xiaolong Cui (Secur. Commun. Networks, 2020)

Fast Fault Diagnosis in Industrial Embedded Systems Based on Compressed Sensing and Deep Kernel Extreme Learning Machines. - Nanliang Shan; Xinghua Xu; Xianqiang Bao; Shaohua Qiu (Sensors, 2022)

DuFeNet: Improve the Accuracy and Increase Shape Bias of Neural Network Models. - Zecong Ye; Zhiqiang Gao; Xiaolong Cui; Yaojie Wang; Nanliang Shan (Signal Image Video Process., 2022)

Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review. - Shaohua Qiu; Xiaopeng Cui; Zuowei Ping; Nanliang Shan; Zhong Li; Xianqiang Bao; Xinghua Xu (Sensors, 2023)

Multisensor Anomaly Detection and Interpretable Analysis for Linear Induction Motors. - Nanliang Shan; Xinghua Xu; Xianqiang Bao; Chengcheng Xu 003; Guangyu Zhu 001; Edmond Qi Wu (IEEE Trans. Intell. Transp. Syst., 2023)

GMS-YOLO: An Algorithm for Multi-Scale Object Detection in Complex Environments in Confined Compartments. - Qixiang Ding; Weichao Li; Chengcheng Xu 003; Mingyuan Zhang; Changchong Sheng; Min He; Nanliang Shan (Sensors, 2024)

Health Status Prediction for Nonstationary Systems Based on Feature Decoupling of Time Series. - Nanliang Shan; Xinghua Xu; Xianqiang Bao; Chengcheng Xu 003; Fengrui Cui; Wei Xu 006 (IEEE Trans. Instrum. Meas., 2025)