Time-Shift Multi-scale Weighted Permutation Entropy and GWO-SVM Based Fault Diagnosis Approach for Rolling Bearing. - Zhilin Dong; Jinde Zheng; Siqi Huang; Haiyang Pan; Qingyun Liu 002 (Entropy, 2019)

Composite Multivariate Multi-Scale Permutation Entropy and Laplacian Score Based Fault Diagnosis of Rolling Bearing. - Wanming Ying; Jinyu Tong; Zhilin Dong; Haiyang Pan; Qingyun Liu 002; Jinde Zheng (Entropy, 2022)

Non-Destructive Identification of Grape Species Based on Near-Infrared Spectroscopy and TLNET Network. - Zhilin Dong; Jiajia Wang; Penghui Sun (RICAI, 2023)

CNN-LSTM Neural Network for Identification of Pre-Cooked Pasta Products in Different Physical States Using Infrared Spectroscopy. - Penghui Sun; Jiajia Wang; Zhilin Dong (Sensors, 2023)

Triplet attention-enhanced residual tree-inspired decision network: A hierarchical fault diagnosis model for unbalanced bearing datasets. - Lingli Cui; Zhilin Dong; Hai Xu; Dezun Zhao (Adv. Eng. Informatics, 2024)

KAN-HyperMP: An Enhanced Fault Diagnosis Model for Rolling Bearings in Noisy Environments. - Jun Wang 115; Zhilin Dong; Shuang Zhang (Sensors, 2024)

Towards future autonomous tugs: Design and implementation of an intelligent escort control system validated by sea trials. - Jialun Liu; Chengqi Xu; Shijie Li 003; Zhilin Dong; Jiayuan Liu; Yan Zhao; Bo Sun (Adv. Eng. Informatics, 2025)