Investigation of nonlinear orthogonal signal correction algorithm and its effects on multivariate calibration. - Chunhui Zhao 001; Fuli Wang; Zhizhong Mao; Jianchang Liu (ICARCV, 2008)

Identification of low-order process model with time delay from closed-loop step test. - Tao Liu 002; Furong Gao; Chunhui Zhao 001 (CDC, 2009)

Improved independent component regression modeling. - Chunhui Zhao 001; Furong Gao; Tao Liu 002; Fuli Wang (CDC, 2009)

A sub-principal component of fault detection (PCFD) modeling method and its application to online fault diagnosis. - Chunhui Zhao 001; Wenqing Li; Youxian Sun (ASCC, 2013)

The multi-space generalization of total projection to latent structures (MsT-PLS) and its application to online process monitoring. - Chunhui Zhao 001; Youxian Sun (ICCA, 2013)

Inner-phase-evolution-traced statistical modeling and online monitoring for uneven batch processes. - Luping Zhao; Chunhui Zhao 001; Furong Gao (ICCA, 2013)

Fault diagnosis based on concurrent phase partition and analysis of relative changes with limited fault batches. - Chengxia Yu; Chunhui Zhao 001 (ACC, 2014)

Relative sub-PCA modeling algorithm using iterative within-phase relative analysis for multiphase batch process monitoring. - Chunhui Zhao 001 (ECC, 2014)

A Quality-Relevant Sequential Phase Partition Approach for Regression Modeling and Quality Prediction Analysis in Manufacturing Processes. - Chunhui Zhao 001 (IEEE Trans Autom. Sci. Eng., 2014)

Multispace Total Projection to Latent Structures and its Application to Online Process Monitoring. - Chunhui Zhao 001; Youxian Sun (IEEE Trans. Control. Syst. Technol., 2014)

A variant fisher discriminant analysis algorithm and its applicationto fault diagnosis. - Wei Wang 264; Chunhui Zhao 001; Youxian Sun; Furong Gao (ASCC, 2015)

Rapid Model Identification for Online Subcutaneous Glucose Concentration Prediction for New Subjects With Type I Diabetes. - Chunhui Zhao 001; Chengxia Yu (IEEE Trans. Biomed. Eng., 2015)

Faulty variable selection based fault reconstruction for industrial processes. - Chunhui Zhao 001; Wei Wang 264 (ACC, 2016)

An extended inner-outer factorisation algorithm based on the structure of a transfer function matrix inverse. - Wei Zhang 134; Chunhui Zhao 001; Xing He; Weidong Zhang 004 (Int. J. Syst. Sci., 2016)

Fault Subspace Selection Approach Combined With Analysis of Relative Changes for Reconstruction Modeling and Multifault Diagnosis. - Chunhui Zhao 001; Furong Gao (IEEE Trans. Control. Syst. Technol., 2016)

Sparse dissimilarity analysis based on distribution dissimilarity decomposition for online diagnosis of incipient faults. - Chunhui Zhao 001; Wei Wang 264; Furong Gao (ACC, 2017)

Predicting glucose concentration for hyper/hypoglycemia alert: Multiple order model migration and optimal model selection via analysis of sample size. - Chunhui Zhao 001; Wei Wang 264; Chengxia Yu (ACC, 2017)

Probabilistic abnormal glycemic event alert for T1DM patients. - Hong Zhao; Chunhui Zhao 001; Youxian Sun (CASE, 2017)

A multi-model exponential discriminant analysis algorithm for online probabilistic diagnosis of time-varying faults. - Wanke Yu; Chunhui Zhao 001 (CDC, 2017)

Two-level modeling strategy based incipient fault detection for nonstationary industrial processes. - Shumei Zhang; Chunhui Zhao 001; Shunyi Zhao (CDC, 2017)

Critical-to-Fault-Degradation Variable Analysis and Direction Extraction for Online Fault Prognostic. - Chunhui Zhao 001; Furong Gao (IEEE Trans. Control. Syst. Technol., 2017)

Machine learning application for patients activity recognition with pressure sensing in bed. - Shengwei Luo; Chunhui Zhao 001; Limin Lu; Yongji Fu (CF, 2018)

A Data-Driven Human Activity Classification Method for an Intelligent Hospital Bed. - Limin Lu; Chunhui Zhao 001; Shengwei Luo; Yongji Fu (EMBC, 2018)

An Intelligent Human Activity Recognition Method with Incremental Learning Capability for Bedridden Patients. - Shengwei Luo; Chunhui Zhao 001; Yongji Fu (ICARCV, 2018)

An automatic glucose monitoring signal denoising method with noise level estimation and responsive filter updating. - Hong Zhao; Chunhui Zhao 001; Furong Gao (Biomed. Signal Process. Control., 2018)

Distributed dynamic modeling and monitoring for large-scale industrial processes under closed-loop control. - Wenqing Li; Chunhui Zhao 001; Biao Huang 001 (CoRR, 2018)

Fault Detection, Isolation, and Prognosis for Complex System. - Chunhui Zhao 001; Furong Gao; Yuan Yao 002; Zhixing Cao; Yongji Fu (J. Control. Sci. Eng., 2018)

Linearity Evaluation and Variable Subset Partition Based Hierarchical Process Modeling and Monitoring. - Wenqing Li; Chunhui Zhao 001; Furong Gao (IEEE Trans. Ind. Electron., 2018)

Sparse Exponential Discriminant Analysis and Its Application to Fault Diagnosis. - Wanke Yu; Chunhui Zhao 001 (IEEE Trans. Ind. Electron., 2018)

Nonstationary Fault Diagnosis by Dual Analysis of Common and Specific Fault Variations with Cointegration Analysis. - Yunyun Hu; Chunhui Zhao 001 (ACC, 2019)

Online fault prognostics based on degradation-oriented slow feature analysis and temporal smoothness analysis. - Yunyun Hu; Chunhui Zhao 001 (ASCC, 2019)

Process Monitoring under Closed-loop Control with Performance-relevant Full Decomposition of Slow Feature Analysis. - Jiale Zheng; Chunhui Zhao 001 (ASCC, 2019)

Fault Diagnosis Based on EEMD and Key Feature Representation with Separation of Stationary and Nonstationary Signals. - Feng Tian; Chunhui Zhao 001; Haidong Fan; Weijian Zheng; Youxian Sun (CAA SAFEPROCESS, 2019)

Concurrent analysis of variable correlation and data distribution for monitoring large-scale processes under varying operation conditions. - Shumei Zhang; Chunhui Zhao 001 (Neurocomputing, 2019)

Online Fault Diagnosis for Industrial Processes With Bayesian Network-Based Probabilistic Ensemble Learning Strategy. - Wanke Yu; Chunhui Zhao 001 (IEEE Trans Autom. Sci. Eng., 2019)

Online Fault Diagnosis in Industrial Processes Using Multimodel Exponential Discriminant Analysis Algorithm. - Wanke Yu; Chunhui Zhao 001 (IEEE Trans. Control. Syst. Technol., 2019)

Incipient Fault Detection for Multiphase Batch Processes With Limited Batches. - Shumei Zhang; Chunhui Zhao 001; Furong Gao (IEEE Trans. Control. Syst. Technol., 2019)

Slow-Feature-Analysis-Based Batch Process Monitoring With Comprehensive Interpretation of Operation Condition Deviation and Dynamic Anomaly. - Shumei Zhang; Chunhui Zhao 001 (IEEE Trans. Ind. Electron., 2019)

Dynamic Distributed Monitoring Strategy for Large-Scale Nonstationary Processes Subject to Frequently Varying Conditions Under Closed-Loop Control. - Chunhui Zhao 001; He Sun (IEEE Trans. Ind. Electron., 2019)

Recursive Exponential Slow Feature Analysis for Fine-Scale Adaptive Processes Monitoring With Comprehensive Operation Status Identification. - Wanke Yu; Chunhui Zhao 001 (IEEE Trans. Ind. Informatics, 2019)

Simultaneous Static and Dynamic Analysis for Fine-Scale Identification of Process Operation Statuses. - Shumei Zhang; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2019)

Sparse Causal Residual Neural Network for Linear and Nonlinear Concurrent Causal Inference and Root Cause Diagnosis. - Jiawei Chen 007; Chunhui Zhao 001; Youxian Sun (ICARCV, 2020)

A residual network for de novo peptide sequencing with attention mechanism. - Zihang Liu; Chunhui Zhao 001 (ICARCV, 2020)

Fault detection for Nonstationary Process with Decomposition and Analytics of Gaussian and Non-Gaussian Subspaces. - Yi Zhao; Chunhui Zhao 001; Youxian Sun (ICARCV, 2020)

Variants of slow feature analysis framework for automatic detection and isolation of multiple oscillations in coupled control loops. - Jie Wang 063; Chunhui Zhao 001 (Comput. Chem. Eng., 2020)

BNGBS: An efficient network boosting system with triple incremental learning capabilities for more nodes, samples, and classes. - Liangjun Feng; Chunhui Zhao 001; C. L. Philip Chen; Yuanlong Li; Min Zhou; Honglin Qiao; Chuan Fu (Neurocomputing, 2020)

A Fine-Grained Adversarial Network Method for Cross-Domain Industrial Fault Diagnosis. - Zheng Chai; Chunhui Zhao 001 (IEEE Trans Autom. Sci. Eng., 2020)

Fault Diagnosis With Dual Cointegration Analysis of Common and Specific Nonstationary Fault Variations. - Yunyun Hu; Chunhui Zhao 001 (IEEE Trans Autom. Sci. Eng., 2020)

A Gaussian Feature Analytics-Based DISSIM Method for Fine-Grained Non-Gaussian Process Monitoring. - Jie Wang 063; Chunhui Zhao 001 (IEEE Trans Autom. Sci. Eng., 2020)

Robust Monitoring and Fault Isolation of Nonlinear Industrial Processes Using Denoising Autoencoder and Elastic Net. - Wanke Yu; Chunhui Zhao 001 (IEEE Trans. Control. Syst. Technol., 2020)

Total Variable Decomposition Based on Sparse Cointegration Analysis for Distributed Monitoring of Nonstationary Industrial Processes. - Chunhui Zhao 001; He Sun; Feng Tian (IEEE Trans. Control. Syst. Technol., 2020)

Broad Convolutional Neural Network Based Industrial Process Fault Diagnosis With Incremental Learning Capability. - Wanke Yu; Chunhui Zhao 001 (IEEE Trans. Ind. Electron., 2020)

Probabilistic Monitoring of Correlated Sensors for Nonlinear Processes in State Space. - Shunyi Zhao; Yuriy S. Shmaliy; Choon Ki Ahn; Chunhui Zhao 001 (IEEE Trans. Ind. Electron., 2020)

Enhanced Random Forest With Concurrent Analysis of Static and Dynamic Nodes for Industrial Fault Classification. - Zheng Chai; Chunhui Zhao 001 (IEEE Trans. Ind. Informatics, 2020)

Concurrent Assessment of Process Operating Performance With Joint Static and Dynamic Analysis. - Xiaoyu Zou; Chunhui Zhao 001 (IEEE Trans. Ind. Informatics, 2020)

Multiclass Oblique Random Forests With Dual-Incremental Learning Capacity. - Zheng Chai; Chunhui Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Non-stationary data reorganization for weighted wind turbine icing monitoring with Gaussian mixture model. - Hua Jing; Chunhui Zhao 001; Furong Gao (Comput. Chem. Eng., 2021)

Condition-Driven Data Analytics and Monitoring for Wide-Range Nonstationary and Transient Continuous Processes. - Chunhui Zhao 001; Junhao Chen; Hua Jing (IEEE Trans Autom. Sci. Eng., 2021)

Stationary Subspace Analysis-Based Hierarchical Model for Batch Processes Monitoring. - Wanke Yu; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Control. Syst. Technol., 2021)

Online Probabilistic Estimation of Sensor Faulty Signal in Industrial Processes and Its Applications. - Shunyi Zhao; Biao Huang 001; Chunhui Zhao 001 (IEEE Trans. Ind. Electron., 2021)

Fine-Scale Modeling and Monitoring of Wide-Range Nonstationary Batch Processes With Dynamic Analytics. - Chunhui Zhao 001; Wei Wang 264; Chang Tian; Youxian Sun (IEEE Trans. Ind. Electron., 2021)

Exponential Stationary Subspace Analysis for Stationary Feature Analytics and Adaptive Nonstationary Process Monitoring. - Junhao Chen; Chunhui Zhao 001 (IEEE Trans. Ind. Informatics, 2021)

Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis. - Liangjun Feng; Chunhui Zhao 001 (IEEE Trans. Ind. Informatics, 2021)

Low-Rank Characteristic and Temporal Correlation Analytics for Incipient Industrial Fault Detection With Missing Data. - Wanke Yu; Chunhui Zhao 001 (IEEE Trans. Ind. Informatics, 2021)

Multichannel Diffusion Graph Convolutional Network for the Prediction of Endpoint Composition in the Converter Steelmaking Process. - Liangjun Feng; Chunhui Zhao 001; Yuanlong Li; Min Zhou; Honglin Qiao; Chuan Fu (IEEE Trans. Instrum. Meas., 2021)

Transfer Increment for Generalized Zero-Shot Learning. - Liangjun Feng; Chunhui Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Dual Attention-Based Encoder-Decoder: A Customized Sequence-to-Sequence Learning for Soft Sensor Development. - Liangjun Feng; Chunhui Zhao 001; Youxian Sun (IEEE Trans. Neural Networks Learn. Syst., 2021)

Object-Guided and Motion-Refined Attention Network for Video Anomaly Detection. - Wenhao Zhou; Yingxuan Li; Chunhui Zhao 001 (ICME, 2022)

Retrospective comparison of several typical linear dynamic latent variable models for industrial process monitoring. - Jiale Zheng; Chunhui Zhao 001; Furong Gao (Comput. Chem. Eng., 2022)

Multi-scale graph learning for ovarian tumor segmentation from CT images. - Zihang Liu; Chunhui Zhao 001; Yan Lu; Yu Jiang; Jingtian Yan (Neurocomputing, 2022)

SFNet: A slow feature extraction network for parallel linear and nonlinear dynamic process monitoring. - Pengyu Song; Chunhui Zhao 001; Biao Huang 001 (Neurocomputing, 2022)

Fault-Prototypical Adapted Network for Cross-Domain Industrial Intelligent Diagnosis. - Zheng Chai; Chunhui Zhao 001 (IEEE Trans Autom. Sci. Eng., 2022)

FIGAN: A Missing Industrial Data Imputation Method Customized for Soft Sensor Application. - Zoujing Yao; Chunhui Zhao 001 (IEEE Trans Autom. Sci. Eng., 2022)

Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies. - Zheng Chai; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Cybern., 2022)

Variational Progressive-Transfer Network for Soft Sensing of Multirate Industrial Processes. - Zheng Chai; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Cybern., 2022)

MoniNet With Concurrent Analytics of Temporal and Spatial Information for Fault Detection in Industrial Processes. - Wanke Yu; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Cybern., 2022)

Consistent-Contrastive Network With Temporality-Awareness for Robust-to-Anomaly Industrial Soft Sensor. - Shuchao Chang; Chunhui Zhao 001; Ke Li (IEEE Trans. Instrum. Meas., 2022)

Sparse and Time-Varying Predictive Relation Extraction for Root Cause Quantification of Nonstationary Process Faults. - Pengyu Song; Chunhui Zhao 001; Biao Huang 001; Min Wu 002 (IEEE Trans. Instrum. Meas., 2022)

Robust Control Performance Monitoring for Varying-Dimensional Time-Series Data Based on SCADA Systems. - Jie Wang 063; Chunhui Zhao 001 (IEEE Trans. Instrum. Meas., 2022)

Bias-Eliminated Semantic Refinement for Any-Shot Learning. - Liangjun Feng; Chunhui Zhao 001; Xi Li 001 (IEEE Trans. Image Process., 2022)

A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data. - Zheng Chai; Chunhui Zhao 001; Biao Huang 001; Hongtian Chen (IEEE Trans. Neural Networks Learn. Syst., 2022)

Multimode DALSTM model for anomaly detection of nuclear reactor core. - Yingnan Wang; Xin Wang; Yinglong Wang; Xianmin Li; Chunhui Zhao 001; Zhihong Lv (ICPS, 2023)

Dyna-DepthFormer: Multi-frame Transformer for Self-Supervised Depth Estimation in Dynamic Scenes. - Songchun Zhang; Chunhui Zhao 001 (CoRR, 2023)

A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios. - Liangjun Feng; Jiancheng Zhao; Chunhui Zhao 001 (CoRR, 2023)

Addressing Domain Shift via Knowledge Space Sharing for Generalized Zero-Shot Industrial Fault Diagnosis. - Jiancheng Zhao; Jiaqi Yue; Liangjun Feng; Chunhui Zhao 001; Jinliang Ding (CoRR, 2023)

Incremental Variational Bayesian Gaussian Mixture Model With Decremental Optimization for Distribution Accommodation and Fine-Scale Adaptive Process Monitoring. - Qingyang Dai; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Cybern., 2023)

Multiscale Partial Symbolic Transfer Entropy for Time-Delay Root Cause Diagnosis in Nonstationary Industrial Processes. - Shuyu Duan; Chunhui Zhao 001; Min Wu 002 (IEEE Trans. Ind. Electron., 2023)

A Robust Dissimilarity Distribution Analytics With Laplace Distribution for Incipient Fault Detection. - Wanke Yu; Chunhui Zhao 001; Biao Huang 001; Min Wu 002 (IEEE Trans. Ind. Electron., 2023)

Spatiotemporal Multiscale Correlation Embedding With Process Variable Reorder for Industrial Soft Sensing. - Jiawei Chen 007; Pengyu Song; Chunhui Zhao 001; Jinliang Ding (IEEE Trans. Instrum. Meas., 2023)

MPGE and RootRank: A sufficient root cause characterization and quantification framework for industrial process faults. - Pengyu Song; Chunhui Zhao 001; Biao Huang 001 (Neural Networks, 2023)

Federated Zero-Shot Industrial Fault Diagnosis With Cloud-Shared Semantic Knowledge Base. - Baoxue Li; Chunhui Zhao 001 (IEEE Internet Things J., 2023)

Step-wise segment partition based stationary subspace analysis and Gaussian mixture model for nonstationary process performance assessment. - Xiaoyu Zou; Chunhui Zhao 001 (Inf. Sci., 2023)

Dynamic Graph-Based Adaptive Learning for Online Industrial Soft Sensor With Mutable Spatial Coupling Relations. - Kun Zhu 008; Chunhui Zhao 001 (IEEE Trans. Ind. Electron., 2023)

A Flexible Probabilistic Framework With Concurrent Analysis of Continuous and Categorical Data for Industrial Fault Detection and Diagnosis. - Junhao Chen; Chunhui Zhao 001; Jinliang Ding (IEEE Trans. Ind. Informatics, 2023)

Interval-Aware Probabilistic Slow Feature Analysis for Irregular Dynamic Process Monitoring With Missing Data. - Jiale Zheng; Xu Chen 045; Chunhui Zhao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Pyramid-type zero-shot learning model with multi-granularity hierarchical attributes for industrial fault diagnosis. - Xu Chen 045; Chunhui Zhao 001; Jinliang Ding (Reliab. Eng. Syst. Saf., 2023)

Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series. - Kun Zhu 008; Chunhui Zhao 001 (AAAI, 2024)

Relabeling Abnormal Videos via Intra-Video Label Propagation for Weakly Supervised Video Anomaly Detection. - Wenhao Zhou; Yingxuan Li; Jiancheng Zhao; Chunhui Zhao 001 (ASCC, 2024)

Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment. - Jiawei Chen 007; Chunhui Zhao 001 (NeurIPS, 2024)

Statelets extraction-guided contrastive learning for detection of control performance degradation with varying degrees. - Jie Wang 063; Xu Chen 045; Jiaqi Yue; Chunhui Zhao 001 (Adv. Eng. Informatics, 2024)

Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis. - Jiancheng Zhao; Jiaqi Yue; Chunhui Zhao 001 (CoRR, 2024)

Less but Better: Enabling Generalized Zero-shot Learning Towards Unseen Domains by Intrinsic Learning from Redundant LLM Semantics. - Jiaqi Yue; Jiancheng Zhao; Chunhui Zhao 001 (CoRR, 2024)

Fusing consensus knowledge: A federated learning method for fault diagnosis via privacy-preserving reference under domain shift. - Baoxue Li; Pengyu Song; Chunhui Zhao 001 (Inf. Fusion, 2024)

Facing spatiotemporal heterogeneity: A unified federated continual learning framework with self-challenge rehearsal for industrial monitoring tasks. - Baoxue Li; Pengyu Song; Chunhui Zhao 001; Min Xie 001 (Knowl. Based Syst., 2024)

Towards consensual representation: Model-agnostic knowledge extraction for dual heterogeneous federated fault diagnosis. - Jiaye Wang; Pengyu Song; Chunhui Zhao 001 (Neural Networks, 2024)

Multimodal Decoupled Representation With Compatibility Learning for Explicit Nonstationary Process Monitoring. - Pengyu Song; Chunhui Zhao 001; Jinliang Ding; Shunyi Zhao (IEEE Trans. Ind. Electron., 2024)

Make Gating Fairer: Fault Attribute-Driven Bias Calibration for Generalized Zero-Shot Industrial Fault Diagnosis. - Jiancheng Zhao; Jiaqi Yue; Chunhui Zhao 001 (IEEE Trans. Instrum. Meas., 2024)

Multi-scale self-supervised representation learning with temporal alignment for multi-rate time series modeling. - Jiawei Chen 007; Pengyu Song; Chunhui Zhao 001 (Pattern Recognit., 2024)

Full Decoupling High-Order Dynamic Mode Decomposition for Advanced Static and Dynamic Synergetic Fault Detection and Isolation. - Xu Chen 045; Jiale Zheng; Chunhui Zhao 001; Min Wu 002 (IEEE Trans Autom. Sci. Eng., 2024)

Variational Bayesian Student's-t Mixture Model With Closed-Form Missing Value Imputation for Robust Process Monitoring of Low-Quality Data. - Qingyang Dai; Chunhui Zhao 001; Shunyi Zhao (IEEE Trans. Cybern., 2024)

Vertices Packaging-Based Interval Independent Component Analysis (VP-I2CA) for Fault Detection With Process Uncertainty. - Shumei Zhang; Sijia Wang; Chunhui Zhao 001 (IEEE Trans. Ind. Informatics, 2024)

Prototype-oriented contrastive learning for semi-supervised medical image segmentation. - Zihang Liu; Haoran Zhang; Chunhui Zhao 001 (Biomed. Signal Process. Control., 2024)

Slow Down to Go Better: A Survey on Slow Feature Analysis. - Pengyu Song; Chunhui Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Explicit Representation and Customized Fault Isolation Framework for Learning Temporal and Spatial Dependencies in Industrial Processes. - Pengyu Song; Chunhui Zhao 001; Biao Huang 001; Jinliang Ding (IEEE Trans. Neural Networks Learn. Syst., 2024)

An Unsupervised Fault Detection and Diagnosis With Distribution Dissimilarity and Lasso Penalty. - Wanke Yu; Chunhui Zhao 001; Biao Huang 001; Min Xie 001 (IEEE Trans. Control. Syst. Technol., 2024)

From Coarse to Fine: Hierarchical Zero-Shot Fault Diagnosis With Multigrained Attributes. - Xu Chen 045; Baolin Zhang; Chunhui Zhao 001; Jinliang Ding; Wenhai Wang (IEEE Trans. Fuzzy Syst., 2024)

Similarity Makes Difference: SSHTN for Generalized Zero-Shot Industrial Fault Diagnosis by Leveraging Auxiliary Set. - Jiaqi Yue; Jiancheng Zhao; Chunhui Zhao 001 (IEEE Trans. Ind. Informatics, 2024)

Cross-Video Contextual Knowledge Exploration and Exploitation for Ambiguity Reduction in Weakly Supervised Temporal Action Localization. - Songchun Zhang; Chunhui Zhao 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Structure Feature Extraction for Hierarchical Alarm Flood Classification and Alarm Prediction. - Chang Tian; Pengyu Song; Chunhui Zhao 001; Jinliang Ding (IEEE Trans Autom. Sci. Eng., 2024)

iHPPPVis: Interactive Visual Analytics Approach for Production Performance Monitoring of Heavy-Plate Production Process. - Tongkang Zhang; Jinliang Ding; Cheng Zeng; Kaifeng Guan; Ye Liu; Chunhui Zhao 001; Tianyou Chai (IEEE Trans. Cybern., 2024)

Constrained Reinforcement Learning-Based Closed-Loop Reference Model for Optimal Tracking Control of Unknown Continuous-Time Systems. - Haoran Zhang; Chunhui Zhao 001; Jinliang Ding (IEEE Trans Autom. Sci. Eng., 2024)

Input-Output Directed Dependency: Driving-Disentangled Dynamic Mode Decomposition for Control System Representation Learning and Monitoring. - Xu Chen 045; Chunhui Zhao 001; Jinliang Ding; Shunyi Zhao (IEEE Trans. Ind. Electron., 2024)

Intrinsic Causality Embedded Concurrent Quality and Process Monitoring Strategy. - Wanke Yu; Chunhui Zhao 001; Biao Huang 001; Min Xie 001 (IEEE Trans. Ind. Electron., 2024)

Hybrid Probabilistic Slow Feature Analysis of Continuous and Binary Data for Dynamic Process Monitoring. - Junhao Chen; Pengyu Song; Chunhui Zhao 001; Min Xie 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Pragmatist: Multiview Conditional Diffusion Models for High-Fidelity 3D Reconstruction from Unposed Sparse Views. - Songchun Zhang; Chunhui Zhao 001 (AAAI, 2025)

Independent variable analysis for addressing the dimension dilemma in monitoring key-performance-indicator-related faults. - Zhijiang Lou; Shan Lu 009; Youqing Wang; Yonghui Wang; Chunhui Zhao 001 (Expert Syst. Appl., 2025)

Multi-Layer federated learning for bit-width and data heterogeneity in cloud-edge systems. - Baoxue Li; Zoujing Yao; Chunhui Zhao 001 (Neurocomputing, 2025)

Walk Before You Can Run: Sampling-Rate-Aware Sequential Knowledge Transfer for Multirate Process Anomaly Detection. - Zheng Chai; Jiaye Wang; Chunhui Zhao 001 (IEEE Trans Autom. Sci. Eng., 2025)

A Probabilistic Quality-Relevant Monitoring Method With Gaussian Mixture Model. - Wanke Yu; Chunhui Zhao 001; Biao Huang 001; Hui Yang 005 (IEEE Trans Autom. Sci. Eng., 2025)

Cross-Domain Bilateral Transfer Learning for Fault Diagnosis Under Incomplete Multisource Domains. - Shumei Zhang; Sijia Wang; Qi Lei; Chunhui Zhao 001 (IEEE Trans Autom. Sci. Eng., 2025)

Discovering Invariance From Variations: Invariant-Specific Bi-Graph Neural Network for Multisource Transfer Learning With Application to Industrial Soft Sensor. - Jiayi Ren; Chunhui Zhao 001 (IEEE Trans. Instrum. Meas., 2025)

Evolving Through Steps: Double-Memory-Driven Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis. - Jiancheng Zhao; Chunhui Zhao 001; Jiaqi Yue (IEEE Trans. Instrum. Meas., 2025)

From Static and Dynamic Perspectives: A Survey on Historical Data Benchmarks of Control Performance Monitoring. - Pengyu Song; Jie Wang 063; Chunhui Zhao 001; Biao Huang 001 (IEEE CAA J. Autom. Sinica, 2025)

Federated Episodic Learning to Extrapolate Unseen From Seen Conditions for Industrial IoT Monitoring. - Baoxue Li; Chunhui Zhao 001 (IEEE Internet Things J., 2025)

Unified Low-Dimensional Subspace Analysis of Continuous and Binary Variables for Industrial Process Monitoring. - Junhao Chen; Chunhui Zhao 001; Pengyu Song; Min Xie 001 (IEEE Trans. Cybern., 2025)

Addressing Heterogeneous Time-Frequency Causality: Source Consistency Exploring for Industrial Root Cause Alignment and Diagnosis. - Pengyu Song; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Cybern., 2025)

Fuzzy State-Driven Cross-Time Spatial Dependence Learning for Multivariate Time-Series Anomaly Detection. - Kun Zhu 008; Pengyu Song; Chunhui Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Toward Universal Controller: Performance-Aware Self-Optimizing Reinforcement Learning for Discrete-Time Systems With Uncontrollable Factors. - Jianfeng Zhang; Haoran Zhang; Chunhui Zhao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Piecewise just-in-time data recovering and fault detection method for time-varying wind power generation process with missing data. - Junyu Chang; Hua Jing; Xu Chen 045; Chunhui Zhao 001 (Int. J. Mach. Learn. Cybern., 2025)

Addressing Information Asymmetry: Deep Temporal Causality Discovery for Mixed Time Series. - Jiawei Chen 007; Chunhui Zhao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

M2D-VAE: Self-Supervised Probabilistic Temporal-Spatial Latent Representation Learning for Unsupervised Industrial Operational Applications Under Missing Value Interference. - Qingyang Dai; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)