Representation Evaluation Block-based Teacher-Student Network for the Industrial Quality-relevant Performance Modeling and Monitoring. - Dan Yang 011; Xin Peng 003; Yusheng Lu; Haojie Huang; Weimin Zhong (CoRR, 2021)

Model-Agnostic Meta-Learning With Optimal Alternative Scaling Value and Its Application to Industrial Soft Sensing. - Yusheng Lu; Xin Peng 003; Dan Yang 011; Minglei Yang 004; Weimin Zhong (IEEE Trans. Ind. Informatics, 2021)

Quality-relevant feature extraction method based on teacher-student uncertainty autoencoder and its application to soft sensors. - Yusheng Lu; Chao Jiang; Dan Yang 011; Xin Peng 003; Weimin Zhong (Inf. Sci., 2022)

Neural networks with upper and lower bound constraints and its application on industrial soft sensing modeling with missing values. - Yusheng Lu; Dan Yang 011; Zhongmei Li; Xin Peng 003; Weimin Zhong (Knowl. Based Syst., 2022)

Neural Network Based on Windowed Convolutional Transformation to Extract Features in Time Domain and Its Application on Soft Sensing. - Yusheng Lu; Dan Yang 011; Zhongmei Li; Xin Peng 003; Weimin Zhong (IEEE Trans. Instrum. Meas., 2022)

Teacher-Student Uncertainty Autoencoder for the Process-Relevant and Quality-Relevant Fault Detection in the Industrial Process. - Dan Yang 011; Xin Peng 003; Yusheng Lu; Haojie Huang; Weimin Zhong (IEEE Trans. Artif. Intell., 2023)

A Novel Distributed Fault Diagnosis Scheme Toward Open-Set Scenarios Based on Extreme Value Theory. - Fulin Gao; Xin Peng 003; Dan Yang 011; Cheng Su; Linlin Li 005; Weimin Zhong (IEEE Trans. Ind. Informatics, 2023)

A Neural Additive Domain Adaptation Network with Interpretability for Fault Detection in Various Operating Conditions. - Cheng Su; Weimin Zhong; Dan Yang 011; Linlin Li 005; Xin Peng 003 (ICIT, 2024)

A Transferable Ensemble Additive Network for Interpretable Prediction of Key Performance Indicators. - Cheng Su; Xin Peng 003; Dan Yang 011; Renzhi Lu; Haojie Huang; Weimin Zhong (IEEE Trans. Instrum. Meas., 2024)

Regularized Wasserstein Distance-Based Joint Distribution Adaptation Approach for Fault Detection Under Variable Working Conditions. - Dan Yang 011; Xin Peng 003; Cheng Su; Linlin Li 005; Zhixing Cao; Weimin Zhong (IEEE Trans. Instrum. Meas., 2024)

A Two-Stage Multi-Target Domain Adaptation Framework for Prediction of Key Performance Indicators Based on Adversarial Network. - Cheng Su; Xin Peng 003; Dan Yang 011; Zhi Li 067; Xiaolong Wu; Weimin Zhong (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A Transfer-Learning-Based Fault Detection Approach for Nonlinear Industrial Processes Under Unusual Operating Conditions. - Linlin Li 005; Xin Chen; Xin Peng 003; Dan Yang 011; Wenjing Liu (IEEE Trans. Ind. Informatics, 2024)

Transferable Deep Slow Feature Network With Target Feature Attention for Few-Shot Time-Series Prediction. - Dan Yang 011; Xin Peng 003; Chao Jiang; Xiaolong Wu; Steven X. Ding; Weimin Zhong (IEEE Trans. Ind. Informatics, 2024)

Domain perceptive-pruning and fine-tuning the pre-trained model for heterogeneous transfer learning in cross domain prediction. - Dan Yang 011; Xin Peng 003; Xiaolong Wu; Haojie Huang; Linlin Li 005; Weimin Zhong (Expert Syst. Appl., 2025)