A Neural Network Ensemble Approach for the Recognition of SPC Chart Patterns. - Jianbo Yu 004; Lifeng Xi; Bin Wu (ICNC (2), 2007)

An Improved Particle Swarm Optimization for Evolving Feedforward Artificial Neural Networks. - Jianbo Yu 004; Lifeng Xi; Shijin Wang 002 (Neural Process. Lett., 2007)

An Integrated Framework for Intelligently Reconfigurable Manufacturing Control System Based on Knowledge Function Block. - Bin Wu; Jianbo Yu 004; Bing-Hai Zhou; Lifeng Xi (FSKD (5), 2008)

Intelligent monitoring and diagnosis of manufacturing processes using an integrated approach of KBANN and GA. - Jianbo Yu 004; Lifeng Xi; Xiaojun Zhou (Comput. Ind., 2008)

Intelligently reconfigurable manufacturing control system based on knowledge function block. - Bin Wu; Lifeng Xi; Jianbo Yu 004; Bing-Hai Zhou (Int. J. Comput. Appl. Technol., 2008)

Intelligent monitoring and diagnosis of manufacturing process using an integrated approach of neural network ensemble and genetic algorithm. - Jianbo Yu 004; Lifeng Xi (Int. J. Comput. Appl. Technol., 2008)

Evolving artificial neural networks using an improved PSO and DPSO. - Jianbo Yu 004; Shijin Wang 002; Lifeng Xi (Neurocomputing, 2008)

Using Minimum Quantization Error chart for the monitoring of process states in multivariate manufacturing processes. - Jianbo Yu 004; Shijin Wang 002 (Comput. Ind. Eng., 2009)

Identifying source(s) of out-of-control signals in multivariate manufacturing processes using selective neural network ensemble. - Jianbo Yu 004; Lifeng Xi; Xiaojun Zhou (Eng. Appl. Artif. Intell., 2009)

A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes. - Jianbo Yu 004; Lifeng Xi (Expert Syst. Appl., 2009)

A Neural Network-Based On-line Monitoring Model of Process Mean and Variance Shifts. - Bin Wu; Jianbo Yu 004 (ICEE, 2010)

An effective heuristic for flexible job-shop scheduling problem with maintenance activities. - Shijin Wang 002; Jianbo Yu 004 (Comput. Ind. Eng., 2010)

A neural network ensemble model for on-line monitoring of process mean and variance shifts in correlated processes. - Bin Wu; Jianbo Yu 004 (Expert Syst. Appl., 2010)

A hybrid feature selection scheme and self-organizing map model for machine health assessment. - Jianbo Yu 004 (Appl. Soft Comput., 2011)

Pattern recognition of manufacturing process signals using Gaussian mixture models-based recognition systems. - Jianbo Yu 004 (Comput. Ind. Eng., 2011)

Bearing performance degradation assessment using locality preserving projections. - Jianbo Yu 004 (Expert Syst. Appl., 2011)

Online tool wear prediction in drilling operations using selective artificial neural network ensemble model. - Jianbo Yu 004 (Neural Comput. Appl., 2011)

Local and Nonlocal Preserving Projection for Bearing Defect Classification and Performance Assessment. - Jianbo Yu 004 (IEEE Trans. Ind. Electron., 2012)

Health Condition Monitoring of Machines Based on Hidden Markov Model and Contribution Analysis. - Jianbo Yu 004 (IEEE Trans. Instrum. Meas., 2012)

A modified support vector data description based novelty detection approach for machinery components. - Shijin Wang 002; Jianbo Yu 004; Edzel Lapira; Jay Lee (Appl. Soft Comput., 2013)

Health Degradation Detection and Monitoring of Lithium-Ion Battery Based on Adaptive Learning Method. - Jianbo Yu 004 (IEEE Trans. Instrum. Meas., 2014)

State-of-Health Monitoring and Prediction of Lithium-Ion Battery Using Probabilistic Indication and State-Space Model. - Jianbo Yu 004 (IEEE Trans. Instrum. Meas., 2015)

Weak Fault Feature Extraction of Rolling Bearings Using Local Mean Decomposition-Based Multilayer Hybrid Denoising. - Jianbo Yu 004; Jingxiang Lv (IEEE Trans. Instrum. Meas., 2017)

Tool condition prognostics using logistic regression with penalization and manifold regularization. - Jianbo Yu 004 (Appl. Soft Comput., 2018)

State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble. - Jianbo Yu 004 (Reliab. Eng. Syst. Saf., 2018)

Sparse Coding Shrinkage in Intrinsic Time-Scale Decomposition for Weak Fault Feature Extraction of Bearings. - Jianbo Yu 004; Haiqiang Liu (IEEE Trans. Instrum. Meas., 2018)

Optimal Control of Blank Holder Force Based on Deep Reinforcement Learning. - Peng Guo; Jianbo Yu 004 (IEEM, 2019)

Wafer Map Defect Recognition Based on Deep Transfer Learning. - Zongli Shen; Jianbo Yu 004 (IEEM, 2019)

A New Morphological Filter for Fault Feature Extraction of Vibration Signals. - Jianbo Yu 004; Tianzhong Hu; Haiqiang Liu (IEEE Access, 2019)

Weighted Self-Regulation Complex Network-Based Variation Modeling and Error Source Diagnosis of Hybrid Multistage Machining Processes. - Jianbo Yu 004; Peng Zhu (IEEE Access, 2019)

A selective deep stacked denoising autoencoders ensemble with negative correlation learning for gearbox fault diagnosis. - Jianbo Yu 004 (Comput. Ind., 2019)

Stacked convolutional sparse denoising auto-encoder for identification of defect patterns in semiconductor wafer map. - Jianbo Yu 004; Xiaoyun Zheng; Jiatong Liu (Comput. Ind., 2019)

Manifold regularized stacked denoising autoencoders with feature selection. - Jianbo Yu 004 (Neurocomputing, 2019)

Evolutionary manifold regularized stacked denoising autoencoders for gearbox fault diagnosis. - Jianbo Yu 004 (Knowl. Based Syst., 2019)

Deep recurrent neural network-based residual control chart for autocorrelated processes. - Shumei Chen; Jianbo Yu 004 (Qual. Reliab. Eng. Int., 2019)

Stacked denoising autoencoder-based feature learning for out-of-control source recognition in multivariate manufacturing process. - Jianbo Yu 004; Xiaoyun Zheng; Shijin Wang 002 (Qual. Reliab. Eng. Int., 2019)

Monitoring of complex profiles based on deep stacked denoising autoencoders. - Shumei Chen; Jianbo Yu 004; Shijin Wang 002 (Comput. Ind. Eng., 2020)

Robust (min-max regret) single machine scheduling with interval processing times and total tardiness criterion. - Shijin Wang 002; Wenli Cui; Feng Chu 001; Jianbo Yu 004; Jatinder N. D. Gupta (Comput. Ind. Eng., 2020)

An improved formulation and efficient heuristics for the discrete parallel-machine makespan ScheLoc problem. - Shijin Wang 002; Ruochen Wu; Feng Chu 001; Jianbo Yu 004; Xin Liu 025 (Comput. Ind. Eng., 2020)

Identical parallel machine scheduling with assurance of maximum waiting time for an emergency job. - Shijin Wang 002; Ruochen Wu; Feng Chu 001; Jianbo Yu 004 (Comput. Oper. Res., 2020)

An energy-efficient two-stage hybrid flow shop scheduling problem in a glass production. - Shijin Wang 002; Xiaodong Wang; Feng Chu 001; Jianbo Yu 004 (Int. J. Prod. Res., 2020)

Knowledge extraction and insertion to deep belief network for gearbox fault diagnosis. - Jianbo Yu 004; Guoliang Liu (Knowl. Based Syst., 2020)

Two-dimensional joint local and nonlocal discriminant analysis-based 2D image feature extraction for deep learning. - Jianbo Yu 004; Haiqiang Liu; Xiaoyun Zheng (Neural Comput. Appl., 2020)

Variable neighborhood search-based methods for integrated hybrid flow shop scheduling with distribution. - Shijin Wang 002; Ruochen Wu; Feng Chu 001; Jianbo Yu 004 (Soft Comput., 2020)

One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis. - Jianbo Yu 004; Xingkang Zhou (IEEE Trans. Ind. Informatics, 2020)

Health condition monitoring of machines based on long short-term memory convolutional autoencoder. - Zhuang Ye; Jianbo Yu 004 (Appl. Soft Comput., 2021)

Deep transfer Wasserstein adversarial network for wafer map defect recognition. - Jianbo Yu 004; Shijin Li; Zongli Shen; Shijin Wang 002; Changhui Liu; Qingfeng Li 004 (Comput. Ind. Eng., 2021)

Chisel edge wear measurement of high-speed steel twist drills based on machine vision. - Junjie Zhou; Jianbo Yu 004 (Comput. Ind., 2021)

Wafer map defect recognition based on deep transfer learning-based densely connected convolutional network and deep forest. - Jianbo Yu 004; Zongli Shen; Shijin Wang 002 (Eng. Appl. Artif. Intell., 2021)

AKRNet: A novel convolutional neural network with attentive kernel residual learning for feature learning of gearbox vibration signals. - Zhuang Ye; Jianbo Yu 004 (Neurocomputing, 2021)

The interval min-max regret knapsack packing-delivery problem. - Shijin Wang 002; Wenli Cui; Feng Chu 001; Jianbo Yu 004 (Int. J. Prod. Res., 2021)

Fault detection and recognition of multivariate process based on feature learning of one-dimensional convolutional neural network and stacked denoised autoencoder. - Chengyi Zhang; Jianbo Yu 004; Shijin Wang 002 (Int. J. Prod. Res., 2021)

Residual attention convolutional autoencoder for feature learning and fault detection in nonlinear industrial processes. - Xing Liu; Jianbo Yu 004; Lyujiangnan Ye (Neural Comput. Appl., 2021)

Multichannel one-dimensional convolutional neural network-based feature learning for fault diagnosis of industrial processes. - Jianbo Yu 004; Chengyi Zhang; Shijin Wang 002 (Neural Comput. Appl., 2021)

Extracting and inserting knowledge into stacked denoising auto-encoders. - Jianbo Yu 004; Guoliang Liu (Neural Networks, 2021)

Joint Feature and Label Adversarial Network for Wafer Map Defect Recognition. - Jianbo Yu 004; Zongli Shen; Xiaoyun Zheng (IEEE Trans Autom. Sci. Eng., 2021)

Two-Dimensional Principal Component Analysis-Based Convolutional Autoencoder for Wafer Map Defect Detection. - Jianbo Yu 004; Jiatong Liu (IEEE Trans. Ind. Electron., 2021)

RetinaNet With Difference Channel Attention and Adaptively Spatial Feature Fusion for Steel Surface Defect Detection. - Xun Cheng; Jianbo Yu 004 (IEEE Trans. Instrum. Meas., 2021)

Long-Term Performance Prediction of PEMFC Based on LASSO-ESN. - Kai He; Lei Mao; Jianbo Yu 004; Weiguo Huang; Qingbo He; Lisa M. Jackson (IEEE Trans. Instrum. Meas., 2021)

Adaptive Densely Connected Convolutional Auto-Encoder-Based Feature Learning of Gearbox Vibration Signals. - Mengqi Miao; Changhui Liu; Jianbo Yu 004 (IEEE Trans. Instrum. Meas., 2021)

A Deep Domain Adaptative Network for Remaining Useful Life Prediction of Machines Under Different Working Conditions and Fault Modes. - Mengqi Miao; Jianbo Yu 004 (IEEE Trans. Instrum. Meas., 2021)

Fault Detection of Rolling Bearing Using Sparse Representation-Based Adjacent Signal Difference. - Yuanhang Sun; Jianbo Yu 004 (IEEE Trans. Instrum. Meas., 2021)

An Adaptive Weighted Adjacent Difference Sparse Representation for Bearing Fault Diagnosis. - Yuanhang Sun; Jianbo Yu 004 (IEEE Trans. Instrum. Meas., 2021)

Convolutional Long Short-Term Memory Autoencoder-Based Feature Learning for Fault Detection in Industrial Processes. - Jianbo Yu 004; Xing Liu; Lyujiangnan Ye (IEEE Trans. Instrum. Meas., 2021)

Multiscale Dynamic Fusion Global Sparse Network for Gearbox Fault Diagnosis. - Jianbo Yu 004; Xingkang Zhou; Liang Lu 006; Zhihong Zhao (IEEE Trans. Instrum. Meas., 2021)

A weighted nonconvex sparse representation with high-pass filter function for fault diagnosis of rolling bearing. - Yuanhang Sun; Jianbo Yu 004 (SSIP, 2022)

Constrained Oversampling: An Oversampling Approach to Reduce Noise Generation in Imbalanced Datasets With Class Overlapping. - Changhui Liu; Sun Jin; Donghong Wang; Zichao Luo; Jianbo Yu 004; Binghai Zhou; Changlin Yang (IEEE Access, 2022)

Multi-level features fusion network-based feature learning for machinery fault diagnosis. - Zhuang Ye; Jianbo Yu 004 (Appl. Soft Comput., 2022)

Scheduling with divisible jobs and subcontracting option. - Shijin Wang 002; Ying Lu; Feng Chu 001; Jianbo Yu 004 (Comput. Oper. Res., 2022)

Unrelated parallel machine scheduling problem with special controllable processing times and setups. - Shijin Wang 002; Ruochen Wu; Feng Chu 001; Jianbo Yu 004 (Comput. Oper. Res., 2022)

An integrated method for variation pattern recognition of BIW OCMM online measurement data. - Changhui Liu; Kun Chen; Sun Jin; Yuan Qu; Jianbo Yu 004; Binghai Zhou (Int. J. Prod. Res., 2022)

Sparse one-dimensional convolutional neural network-based feature learning for fault detection and diagnosis in multivariable manufacturing processes. - Jianbo Yu 004; Chengyi Zhang; Shijin Wang 002 (Neural Comput. Appl., 2022)

Sparse Representation Convolutional Autoencoder for Feature Learning of Vibration Signals and its Applications in Machinery Fault Diagnosis. - Mengqi Miao; Yuanhang Sun; Jianbo Yu 004 (IEEE Trans. Ind. Electron., 2022)

Multiple Granularities Generative Adversarial Network for Recognition of Wafer Map Defects. - Jianbo Yu 004; Jiatong Liu (IEEE Trans. Ind. Informatics, 2022)

Deep Transfer Network With Adaptive Joint Distribution Adaptation: A New Process Fault Diagnosis Model. - Shijin Li; Jianbo Yu 004 (IEEE Trans. Instrum. Meas., 2022)

Adaptive Sparse Representation-Based Minimum Entropy Deconvolution for Bearing Fault Detection. - Yuanhang Sun; Jianbo Yu 004 (IEEE Trans. Instrum. Meas., 2022)

Surface Defect Detection of Steel Strips Based on Anchor-Free Network With Channel Attention and Bidirectional Feature Fusion. - Jianbo Yu 004; Xun Cheng; Qingfeng Li 004 (IEEE Trans. Instrum. Meas., 2022)

An exact decomposition method for unrelated parallel machine scheduling with order acceptance and setup times. - Shijin Wang 002; Ruochen Wu; Feng Chu 001; Jianbo Yu 004 (Comput. Ind. Eng., 2023)

Challenges and opportunities of deep learning-based process fault detection and diagnosis: a review. - Jianbo Yu 004; Yue Zhang (Neural Comput. Appl., 2023)

Adaptive Swarm Decomposition Algorithm for Compound Fault Diagnosis of Rolling Bearings. - Chaoang Xiao; Jianbo Yu 004 (IEEE Trans. Instrum. Meas., 2023)

Machine Motion Trajectory Detection Based on Siamese Graph-Attention Adaptive Network. - Jianbo Yu 004; Yihao Huang 005; Yanfeng Gao; Qingfeng Li 004 (IEEE Trans. Instrum. Meas., 2023)

A Selective Adversarial Adaptation Network for Remaining Useful Life Prediction of Machines Under Different Working Conditions. - Zhuang Ye; Jianbo Yu 004 (IEEE Syst. J., 2023)

Sparse-Representation-Network-Based Feature Learning of Vibration Signal for Machinery Fault Diagnosis. - Mengqi Miao; Jianbo Yu 004 (IEEE Trans. Ind. Informatics, 2023)

A Multisource Domain Adaptation Network for Process Fault Diagnosis Under Different Working Conditions. - Shijin Li; Jianbo Yu 004 (IEEE Trans. Ind. Electron., 2023)

Dynamic convolutional gated recurrent unit attention auto-encoder for feature learning and fault detection in dynamic industrial processes. - Jianbo Yu 004; Shijin Li; Xing Liu; Yanfeng Gao; Shijin Wang 002; Changhui Liu (Int. J. Prod. Res., 2023)

Knowledge Transfer-Based Sparse Deep Belief Network. - Jianbo Yu 004; Guoliang Liu (IEEE Trans. Cybern., 2023)

A residual autoencoder-based transformer for fault detection of multivariate processes. - Jilin Shang; Jianbo Yu 004 (Appl. Soft Comput., 2024)

Machining Tool Wear Detection and Measurement Based on Edge Extraction and Subpixel Fitting. - Peiwen Chen; Jianbo Yu 004 (IEEE Trans. Instrum. Meas., 2024)

Deep Morphological Shrinkage Convolutional Autoencoder-Based Feature Learning of Vibration Signals for Gearbox Fault Diagnosis. - Zhuang Ye; Shang Yue; Pu Yang; Ruixu Zhou; Jianbo Yu 004 (IEEE Trans. Instrum. Meas., 2024)

Incorporate Rotational Speeds Into Deep Neural Network for Machinery Health Monitoring. - Wenyi Liu; Chaoang Xiao; Jianbo Yu 004 (IEEE Trans. Ind. Informatics, 2024)

Crop-paste and diffusion-based semi-supervised segmentation network for metal defect detection. - Lixiang Zhao; Jianbo Yu 004 (Knowl. Based Syst., 2025)

Multiple Wave Shape Mode Decomposition for Bearing Fault Diagnosis. - Chaoang Xiao; Jiantao Chang; Jianbo Yu 004 (IEEE Trans. Instrum. Meas., 2025)

Multi-Tasks Joint Network for Anomaly Diagnosis and Inconsistent Identification of VRLA Battery in Large Data Center. - Zhuang Ye; Shang Yue; Pu Yang; Ruixu Zhou; Jianbo Yu 004 (IEEE Trans. Ind. Informatics, 2025)