Imbalanced Bearing Fault Diagnosis Based on RFH-GAN and PSA-DRSN. - Zhidan Zhong; Hao Liu; Wentao Mao; Xinghui Xie; Wenlu Hao; Yunhao Cui (IEEE Access, 2023)

Harmony better than uniformity: A new pre-training anomaly detection method with tensor domain adaptation for early fault evaluation. - Wentao Mao; Zongtao Chen; Yanna Zhang 001; Zhidan Zhong (Eng. Appl. Artif. Intell., 2024)

Memory-Augmented 3D Point Cloud Semantic Segmentation Network for Intelligent Mining Shovels. - Yunhao Cui; Zhihui Zhang; Yi An; Zhidan Zhong; Fang Yang; Junhua Wang; Kui He (Sensors, 2024)

A Novel Few-Shot Deep Transfer Learning Method for Anomaly Detection: Deep Domain-Adversarial Contrastive Network With Time-Frequency Transferability Analytics. - Jianing Wu; Wentao Mao; Yanna Zhang 001; Lilin Fan; Zhidan Zhong (IEEE Internet Things J., 2024)

Unsupervised multiple-target domain adaptation for bearing fault diagnosis. - Guoli Bai; Tonghao Xing; Wei Sun 030; Huashan Chi; Zhidan Zhong; Qingchao Sun; Liang Sun (Eng. Appl. Artif. Intell., 2025)

Dynamic modeling-assisted tensor regression transfer learning for online remaining useful life prediction under open environment. - Wentao Mao; Jiayi Wang; Ke Feng; Zhidan Zhong; Ming Jian Zuo (Reliab. Eng. Syst. Saf., 2025)