A Remaining Useful Life Prediction Framework for Multi-sensor System. - Heng Zhang 036; Jing Jiang; Zhenling Mo; Qiang Miao (QRS Companion, 2019)

Harmonic L2/L1 Norm for Bearing Fault Diagnosis. - Mingfang Wang; Zhenling Mo; Hongyong Fu; Hua Yu; Qiang Miao (IEEE Access, 2019)

A Deep Learning Method for Bearing Fault Diagnosis Based on Time-Frequency Image. - Jianyu Wang; Zhenling Mo; Heng Zhang 036; Qiang Miao (IEEE Access, 2019)

Cyclic Harmonic Ratio Defined in Squared Envelope Spectrum and Log-Envelope Spectrum for Gearbox Fault Diagnosis. - Chong Luo; Zhenling Mo; Qiang Miao (IEEE Trans. Instrum. Meas., 2020)

Weighted Cyclic Harmonic-to-Noise Ratio for Rolling Element Bearing Fault Diagnosis. - Zhenling Mo; Jianyu Wang; Heng Zhang 036; Qiang Miao (IEEE Trans. Instrum. Meas., 2020)

Nonlinear-Drifted Fractional Brownian Motion With Multiple Hidden State Variables for Remaining Useful Life Prediction of Lithium-Ion Batteries. - Heng Zhang 036; Zhenling Mo; Jianyu Wang; Qiang Miao (IEEE Trans. Reliab., 2020)

The Variational Kernel-Based 1-D Convolutional Neural Network for Machinery Fault Diagnosis. - Zhenling Mo; Zijun Zhang; Kwok-Leung Tsui (IEEE Trans. Instrum. Meas., 2021)

A Life-Stage Domain Aware Network for Bearing Health Prognosis Under Unseen Temporal Distribution Shift. - Tao Hu; Zhenling Mo; Zijun Zhang (IEEE Trans. Instrum. Meas., 2024)

Sparsity-Constrained Invariant Risk Minimization for Domain Generalization With Application to Machinery Fault Diagnosis Modeling. - Zhenling Mo; Zijun Zhang; Qiang Miao; Kwok-Leung Tsui (IEEE Trans. Cybern., 2024)

MNHP-GAE: A Novel Manipulator Intelligent Health State Diagnosis Method in Highly Imbalanced Scenarios. - Bo Zhao 026; Qiqiang Wu; Ke Zhao; Zhenling Mo; Zijun Zhang; Xianmin Zhang (IEEE Internet Things J., 2024)

Distance-Aware Risk Minimization for Domain Generalization in Machine Fault Diagnosis. - Zhenling Mo; Zijun Zhang; Kwok-Leung Tsui (IEEE Internet Things J., 2024)

Neural ODE powered model for bearing remaining useful life predictions with intra- and inter-domain shifts. - Tao Hu; Zhenling Mo; Zijun Zhang (Adv. Eng. Informatics, 2025)

Multitask Pointwise Mutual Information Learning for Bearing Remaining Useful Life Cross-Domain Imbalanced Regression. - Tao Hu; Zhenling Mo; Zijun Zhang (IEEE Internet Things J., 2025)

Domain Generalization Study of Empirical Risk Minimization From Causal Perspectives. - Zhenling Mo; Zijun Zhang; Kwok-Leung Tsui (IEEE Trans. Multim., 2025)

Lifeisgood: Learning Invariant Features via In-Label Swapping for Generalizing Out-of-Distribution in Machine Fault Diagnosis. - Zhenling Mo; Zijun Zhang; Kwok-Leung Tsui (IEEE Trans. Cybern., 2025)

Extended Invariant Risk Minimization for Machine Fault Diagnosis With Label Noise and Data Shift. - Zhenling Mo; Zijun Zhang; Qiang Miao; Kwok-Leung Tsui (IEEE Trans. Neural Networks Learn. Syst., 2025)