A Dynamic Learning Network for Steel Surface Inspection Based on Structural Re-parameterization. - Shuo Gao; Ge Hong; Xueqi Xing; Dongyang Han; Rourou Li; Joachim Seidelmann; Tangbin Xia (CSAE, 2023)

An Adjustable Functional Regression Model for Real-time Degradation Prognostic Under Incomplete Data Scenarios. - Kaigan Zhang; Lei Cao; Xueqi Xing; Tangbin Xia; Zhen Chen 017; Ershun Pan; Lifeng Xi (IEEM, 2023)

Interpretable temporal degradation state chain based fusion graph for intelligent bearing fault detection. - Tangbin Xia; Xueqi Xing; Tongtong Yan; Dong Wang 001; Ershun Pan; Lifeng Xi (Adv. Eng. Informatics, 2024)

Relation between fault characteristic frequencies and local interpretability shapley additive explanations for continuous machine health monitoring. - Tongtong Yan; Xueqi Xing; Tangbin Xia; Dong Wang 001 (Eng. Appl. Artif. Intell., 2024)

Interpretable degradation tensor modeling through multi-scale and multi-level time-frequency feature fusion for machine health monitoring. - Tongtong Yan; Xueqi Xing; Dong Wang 001; Kwok-Leung Tsui; Min Xia 001 (Inf. Fusion, 2025)

Early prediction of battery life using an interpretable health indicator with evolutionary computing. - Xueqi Xing; Tongtong Yan; Min Xia 001 (Reliab. Eng. Syst. Saf., 2025)