A distributed expectation maximization-principal component analysis monitoring scheme for the large-scale industrial process with incomplete information. - Xuanyue Wang; Xu Yang 006; Jian Huang 013; Xianzhong Chen (Int. J. Distributed Sens. Networks, 2019)

Fault Classification in Dynamic Processes Using Multiclass Relevance Vector Machine and Slow Feature Analysis. - Jian Huang 013; Xu Yang 006; Yuri A. W. Shardt; Xuefeng Yan (IEEE Access, 2020)

Adaptive Weighting Strategy based Multi-sensor Data Fusion Method for Condition Monitoring of Reciprocating Pump. - Yinghao Zhao; Xu Yang 006; Xia Wu; Jian Huang 013; Kaixiang Peng (CAA SAFEPROCESS, 2021)

Mean-Square Admissibility Analysis and Controller Design for Itô-Type Stochastic Singular Systems. - Jian Huang 013; Xu Yang 006; Liang Qiao 004 (IEEE Access, 2021)

Double-Layer Distributed Monitoring Based on Sequential Correlation Information for Large-Scale Industrial Processes in Dynamic and Static States. - Jian Huang 013; Xu Yang 006; Kaixiang Peng (IEEE Trans. Ind. Informatics, 2021)

T-distributed stochastic neighbor embedding echo state network with state matrix dimensionality reduction for time series prediction. - Jian Huang 013; Fan Wang 014; Liang Qiao 004; Xu Yang 006 (Eng. Appl. Artif. Intell., 2023)

Admissibility and admissibilization for T-S fuzzy descriptor systems with partially unknown membership functions. - Liang Qiao 004; Jian Huang 013 (Int. J. Syst. Sci., 2023)

Optimized Distributed Nonstationary Process Monitoring Approach Based on Fault-Related Information and Partial Correlation Fusion. - Jian Huang 013; Xiaoyang Sun; Xu Yang 006; Kaixiang Peng (IEEE Trans. Instrum. Meas., 2024)

An integrated structure of operational performance-oriented monitoring and degradation recovery based on iterative adaptive dynamic programming. - Feng Gao; Jingjing Gao; Xu Yang 006; Jian Huang 013 (Trans. Inst. Meas. Control, 2024)

Adaptive weighting strategy for fault detection and diagnosis of rotating machinery components incorporating multiple operational conditions. - Yinghao Zhao; Xu Yang 006; Jian Huang 013; Xia Wu; Jiarui Cui (Trans. Inst. Meas. Control, 2024)

Performance-oriented fault detection and fault-tolerant control for nonlinear uncertain systems: Improved stochastic configuration network-based methods. - Jingjing Gao; Feng Gao; Zhengxuan Zhang; Xu Yang 006; Jian Huang 013; Kaixiang Peng (Neurocomputing, 2025)

Remaining useful life prediction for multi-sensor mechanical equipment based on self-attention mechanism network incorporating spatio-temporal convolution. - Xu Yang 006; Lin Tang; Jian Huang 013 (J. Syst. Control. Eng., 2025)

Graph-based predictable deep transfer network for soft sensing of dynamic industrial processes. - Zhengxuan Zhang; Xu Yang 006; Jian Huang 013; Yuri A. W. Shardt (Knowl. Based Syst., 2025)

Hidden Actuator Degradation Prognosis Considering Unmodeled Dynamic by Neural Network-Assisted Adaptive Kalman Filter. - Xia Wu; Xu Yang 006; Jian Huang 013; Jingjing Gao; Jiarui Cui; Qing Li 015 (IEEE Trans. Instrum. Meas., 2025)

Improved Wavelet Zero-Shot Learning Model With Signal-Sensitive Features and Weighted Semantics for Compound Fault Diagnosis of Rolling Bearing. - Xu Yang 006; Tengyu Guo; Jian Huang 013; Yinghao Zhao; Xian Zhou 001; Kaixiang Peng (IEEE Trans. Instrum. Meas., 2025)

Ensemble Targeted Stacked Denoising Autoencoders With Mutual Information Constraint for Rotating Machinery Fault Diagnosis. - Yinghao Zhao; Xu Yang 006; Jian Huang 013; Jingjing Gao; Xian Zhou 001; Tao Zhang (IEEE Trans. Ind. Informatics, 2025)

An improved multi-objective honey badger algorithm based on global searching strategy. - Jiarui Cui; Hao Zhou; Qun Yan; Jian Huang 013; Minggang Wang; Xu Yang 006; Qing Li 015 (J. Supercomput., 2025)

Variational Discriminative Stacked Auto-Encoder: Feature Representation Using a Prelearned Discriminator, and Its Application to Industrial Process Monitoring. - Jian Huang 013; Xiaoyang Sun; Steven X. Ding; Xu Yang 006; Okan K. Ersoy (IEEE Trans. Neural Networks Learn. Syst., 2025)

t-SNVAE: Deep Probabilistic Learning With Local and Global Structures for Industrial Process Monitoring. - Jian Huang 013; Zizhuo Liu; Xu Yang 006; Yupeng Liu; Zhaomin Lv; Kaixiang Peng; Okan K. Ersoy (IEEE Trans. Artif. Intell., 2025)