ConditionSenseNet: A Deep Interpolatory ConvNet for Bearing Intelligent Diagnosis Under Variational Working Conditions. - Yinjun Wang; Xiaoxi Ding; Rui Liu 036; Yimin Shao (IEEE Trans. Ind. Informatics, 2022)

Sinc-Based Multiplication-Convolution Network for Small-Sample Fault Diagnosis and Edge Application. - Rui Liu 036; Xiaoxi Ding; Shenglan Liu 003; Qihang Wu; Yimin Shao (IEEE Trans. Instrum. Meas., 2023)

An Interpretable Multiplication-Convolution Sparse Network for Equipment Intelligent Diagnosis in Antialiasing and Regularization Constraint. - Qihang Wu; Xiaoxi Ding; Linhua Zhao; Rui Liu 036; Qingbo He; Yimin Shao (IEEE Trans. Instrum. Meas., 2023)

Prior-knowledge-guided mode filtering network for interpretable equipment intelligent diagnosis under varying speed conditions. - Rui Liu 036; Xiaoxi Ding; Yimin Shao (Adv. Eng. Informatics, 2024)

An interpretable multiplication-convolution residual network for equipment fault diagnosis via time-frequency filtering. - Rui Liu 036; Xiaoxi Ding; Yimin Shao; Wenbin Huang 002 (Adv. Eng. Informatics, 2024)

HmmSeNet: A Novel Single Domain Generalization Equipment Fault Diagnosis Under Unknown Working Speed Using Histogram Matching Mixup. - Jian Tang; Xiaoxi Ding; Chao Wei; Jiawei Xiao; Rui Liu 036; Liming Wang; Wenbin Huang 002 (IEEE Trans. Ind. Informatics, 2024)

An Interpretable Multiplication-Convolution Network for Equipment Intelligent Edge Diagnosis. - Rui Liu 036; Xiaoxi Ding; Qihang Wu; Qingbo He; Yimin Shao (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Knowledge-informed multiplication convolution generalization network for interpretable equipment diagnosis under unknown speed domains. - Rui Liu 036; Xiaoxi Ding; Benyuan Ye; Yuanyuan Xu; Jiahai Huang; Hongyu Lv (Appl. Soft Comput., 2025)

Knowledge-informed FIR-based cross-category filtering framework for interpretable machinery fault diagnosis under small samples. - Rui Liu 036; Xiaoxi Ding; Shenglan Liu 003; Hebin Zheng; Yuanyaun Xu; Yimin Shao (Reliab. Eng. Syst. Saf., 2025)