The Application of Wavelet-Kalman Hybrid Filter in EMD Edge Problem. - Cheng-Lin Wen; Feng Zeng; Su-jun Zhang (ISDA (2), 2006)

A New Fuzzy Arithmetic for Discrete Fuzzy Numbers. - Guixiang Wang; Chenglin Wen (FSKD (1), 2007)

Multiresolution Model for Image Denoising Based on Total Least Squares. - Chenglin Wen; Guowei Gao; Zhiguo Chen (FSKD (3), 2007)

Hinfinity Tracking Control of Descriptor Nonlinear System for Output PDFs of Stochastic Systems Based on B-Spline Neural Networks. - Haiqin Sun; Huiling Xu; Chenglin Wen (ISNN (1), 2007)

The Hybrid Principal Component Analysis Based on Wavelets and Moving Median Filter. - Cheng-Lin Wen; Shao-hui Fan; Zhi-Guo Chen (ISNN (2), 2007)

Relative Principle Component and Relative Principle Component Analysis Algorithm. - Chenglin Wen; Jing Hu; Tianzhen Wang (ISNN (2), 2007)

Multiscale Estimation to the Parameter of Multidimension Time Series. - Chenglin Wen; Guang-Jiang Wang; Chuan-Bo Wen; Zhiguo Chen (ISNN (3), 2007)

On fuzzy n-cell numbers and n-dimension fuzzy vectors. - Guixiang Wang; Youming Li; Chenglin Wen (Fuzzy Sets Syst., 2007)

Multiresolution Image Fusion Algorithm Based on Block Modeling and Probabilistic Model. - Chenglin Wen; Jingli Gao (ISNN (1), 2008)

Fuzzy Information Fusion Algorithm of Fault Diagnosis Based on Similarity Measure of Evidence. - Chenglin Wen; Yingchang Wang; Xiaobin Xu 002 (ISNN (2), 2008)

Optimal diagnostic observer for sampled-data systems. - Aibing Qiu; Chenglin Wen; Bin Jiang 001 (CDC, 2009)

Hybrid DCA-PCA Multiple Faults Diagnosis Method. - Funa Zhou; Tianhao Tang; Chenglin Wen (ICINCO-ICSO, 2009)

Assessment of Surface Contamination of High Voltage Insulator Based on Evidence Theory. - Yandong Hou; Zhiguo Chen; Chenglin Wen (IFITA (3), 2009)

The fusion method of conflicting evidence based on the cosine similarity of evidence vectors. - Yucheng Wang; Xiaobin Xu 002; Yanwen Lu; Chenglin Wen (ICCA, 2010)

Strong Tracking Filter with bandwidth constraint for sensor networks. - Tingliang Xu; Quanbo Ge; Xiaoliang Feng; Chenglin Wen (ICCA, 2010)

Wireless Intelligent Fire Fighting Systems Software Platform R&D. - Sheng'an Duan; Kaitao Cheng; Quanbo Ge; Chenglin Wen (iThings/CPSCom, 2011)

A Linear Multisensor PHD Filter Using the Measurement Dimension Extension Approach. - Weifeng Liu 004; Chenglin Wen (ICSI (2), 2011)

Fuzzy approximation relations on fuzzy n-cell number space and their applications in classification. - Guixiang Wang; Peng Shi 001; Chenglin Wen (Inf. Sci., 2011)

SCKF-STF-CN: a universal nonlinear filter for maneuver target tracking. - Quanbo Ge; Wen-bin Li; Cheng-Lin Wen (J. Zhejiang Univ. Sci. C, 2011)

A Multiple Shape-Target Tracking Algorithm by Using MCMC Sampling. - Weifeng Liu 004; Zhong Chai; Chenglin Wen (ICSI (2), 2012)

Networked Kalman filtering with combined constraints of bandwidth and random delay. - Quanbo Ge; Chenglin Wen; Tingliang Xu (Sci. China Inf. Sci., 2012)

An output delay approach to fault estimation for sampled-data systems. - Chenglin Wen; Aibing Qiu; Bin Jiang 001 (Sci. China Inf. Sci., 2012)

A new DSmT combination rule in open frame of discernment and its application. - Chenglin Wen; Xiaobin Xu 002; Haina Jiang; Zhe Zhou (Sci. China Inf. Sci., 2012)

A New Global Stability Criteria for Neural Network with Two Time-Varying Delays. - Guixiang Wang; Zhenju Mu; Chenglin Wen; Yuqi Li (Circuits Syst. Signal Process., 2012)

A Bayesian estimation for single target tracking based on state mixture models. - Weifeng Liu 004; Chenglin Wen; Chongzhao Han; Feng Lian (Signal Process., 2012)

VB-AQKF-STF: A novel linear state estimator for stochastic quantized measurements systems. - Quanbo Ge; Chenglin Wen; Xiangfeng Wang; Xingfa Shen (ASCC, 2013)

Multi-sensor multi-OOSM distributed sequential fusion filtering. - Xiaoliang Feng; Chenglin Wen; Lizhong Xu (ICCA, 2013)

Data-driven aided parity space-based approach to fast rate residual generation in non-uniformly sampled systems. - Jing Hu; Chenglin Wen; Ping Li 057 (ICCA, 2013)

Belief function to probability: A tradeoff between easy decision-making and high risk. - Zhe Zhou; Chunjie Yang 001; Chenglin Wen (ICCA, 2013)

Cubature Kalman Fusion for Bearings-Only Tracking Networks. - Quanbo Ge; Chenglin Wen; Shaodong Chen (ICONS, 2013)

Approximating probability distribution of circuit performance function for parametric yield estimation using transferable belief model. - Xiaobin Xu 002; Donghua Zhou; Yindong Ji; Chenglin Wen (Sci. China Inf. Sci., 2013)

The fast linear multisensor RFS-multitarget tracking filters. - Weifeng Liu 004; Chenglin Wen (FUSION, 2014)

Multi-sensor joint configuration and tracking algorithm - Road constrained mobile sensor systems. - Weifeng Liu 004; Guangzhou Luo; Chenglin Wen (ICCAIS, 2014)

The structure-labeled group target estimation with random finite set observation. - Weifeng Liu 004; Chenglin Wen (ICCAIS, 2014)

A Shape Target Detection and Tracking Algorithm Based on the Target Measurement Intensity Filter. - Weifeng Liu 004; Chenglin Wen; Shuyu Ding (ICSI (2), 2014)

SVD-based scattered small targets detection. - Jingli Gao; Chenglin Wen; Meiqin Liu 001 (MFI, 2014)

The fusion methods of multi-sensor system based on pseudo-measurement model library. - Haihong Ye; Chenglin Wen; Xiaoliang Feng (MFI, 2014)

A method of multi-surface evidence fusion slope stability analysis based on random set. - Kefei Zhou; Chenglin Wen; Xiaobin Xu 002 (MFI, 2014)

Direct projection to latent variable space for fault detection. - Jing Hu; Chenglin Wen; Ping Li 057; Tianqi Yuan (J. Frankl. Inst., 2014)

Cubature information filters with correlated noises and their applications in decentralized fusion. - Quanbo Ge; Daxing Xu; Chenglin Wen (Signal Process., 2014)

Fire Localization Based On Range-Range-Range Model for Limited Interior Space. - Quanbo Ge; Chenglin Wen; Sheng'an Duan (IEEE Trans. Instrum. Meas., 2014)

A dense clutter sparse algorithm for the random finite set filters. - Weifeng Liu 004; Chenglin Wen; Hailong Cui (ICCAIS, 2015)

Fault diagnosis based on deep learning. - Feiya Lv; Chenglin Wen; Zhejing Bao; Meiqin Liu 001 (ACC, 2016)

A time-varying clutter intensity estimation algorithm by using Gibbs sampler and BIC. - Weifeng Liu 004; Hailong Cui; Chenglin Wen (FUSION, 2016)

Multiple resolvable group target estimation using graph theory and the multi-Bernoulli filter. - Weifeng Liu 004; Shujun Zhu; Chenglin Wen (ICCAIS, 2016)

Real-Time Distributed Optimal Control Considering Power Supply Constraint for Deferrable Loads Scheduling. - Mengya Kang; Chenglin Wen; Chenxi Wu (ICCSIP, 2016)

A Non-uniform Quantization Filter Based on Adaptive Quantization Interval in WSNs. - Chenglin Wen; Chaoyang Zhu; Daxing Xu; Lidi Quan (ICCSIP, 2016)

Optimal Multiple-Sensor Scheduling for General Scalar Gauss-Markov Systems with the Terminal Error. - Jiapeng Xu; Chenglin Wen; Daxing Xu; Huiying Chen (ICCSIP, 2016)

Exponential synchronization of discrete-time mixed delay neural networks with actuator constraints and stochastic missing data. - Jian-Ning Li 001; Wen-Dong Bao; Shibao Li; Cheng-Lin Wen; Lin-Sheng Li (Neurocomputing, 2016)

A reduced-order approach to filtering for systems with linear equality constraints. - Chuan-Bo Wen; Yunze Cai; Yurong Liu; Chenglin Wen (Neurocomputing, 2016)

Observer-based consensus of second-order multi-agent systems without velocity measurements. - Chenglin Wen; Fang Liu 023; Qiang Song 001; Xiaoliang Feng (Neurocomputing, 2016)

Detecting slowly moving infrared targets using temporal filtering and association strategy. - Jingli Gao; Chenglin Wen; Zhejing Bao; Meiqin Liu 001 (Frontiers Inf. Technol. Electron. Eng., 2016)

Performance Analysis of the Kalman Filter With Mismatched Noise Covariances. - Quanbo Ge; Teng Shao; Zhansheng Duan; Chenglin Wen (IEEE Trans. Autom. Control., 2016)

Fault Isolation Based on k-Nearest Neighbor Rule for Industrial Processes. - Zhe Zhou; Chenglin Wen; Chunjie Yang 001 (IEEE Trans. Ind. Electron., 2016)

Multisensor Nonlinear Fusion Methods Based on Adaptive Ensemble Fifth-Degree Iterated Cubature Information Filter for Biomechatronics. - Quanbo Ge; Teng Shao; Qinmin Yang; Xingfa Shen; Chenglin Wen (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Minor fault diagnosis based on fractional-order model of permanent magnet synchronous motor. - Wei Yu; Cheng-Lin Wen; Yong Chen (IECON, 2017)

A new synthesis filter for filter bank systems with transmission delay. - Lan Wu; Chenglin Wen (Ann. des Télécommunications, 2017)

Filter design based on characteristic functions for one class of multi-dimensional nonlinear non-Gaussian systems. - Chenglin Wen; Xingshuo Cheng; Daxing Xu; Chuan-Bo Wen (Autom., 2017)

Quantized control for NCSs with communication constraints. - Jingjing Yan; Yuanqing Xia; Chenglin Wen (Neurocomputing, 2017)

Fault Diagnosis Method Based on Information Entropy and Relative Principal Component Analysis. - Xiaoming Xu; Chenglin Wen (J. Control. Sci. Eng., 2017)

A Novel Multimode Fault Classification Method Based on Deep Learning. - Funa Zhou; Yulin Gao; Chenglin Wen (J. Control. Sci. Eng., 2017)

Fast and robust image segmentation with active contours and Student's-t mixture model. - Guowei Gao; Chenglin Wen; Huibin Wang (Pattern Recognit., 2017)

Optimal multiple-sensor scheduling for general scalar Gauss-Markov systems with the terminal error. - Jiapeng Xu; Chenglin Wen; Quanbo Ge; Daxing Xu (Syst. Control. Lett., 2017)

Robust Small Target Co-Detection from Airborne Infrared Image Sequences. - Jingli Gao; Chenglin Wen; Meiqin Liu 001 (Sensors, 2017)

Fast Multiregion Image Segmentation Using Statistical Active Contours. - Guowei Gao; Chenglin Wen; Huibin Wang; Lizhong Xu (IEEE Signal Process. Lett., 2017)

Carrier Tracking Estimation Analysis by Using the Extended Strong Tracking Filtering. - Quanbo Ge; Teng Shao; Shaodong Chen; Chenglin Wen (IEEE Trans. Ind. Electron., 2017)

Filters Design Based On Multiple Characteristic Functions for the Grinding Process Cylindrical Workpieces. - Chenglin Wen; Quanbo Ge; Xingshuo Cheng; Daxing Xu (IEEE Trans. Ind. Electron., 2017)

A Method for Water Pollution Source Localization with Sensor Monitoring Networks. - Lan Wu; Xiaolei Han; Chenglin Wen (Big Data (CCF), 2018)

Multi-Dimensional Observation Characteristic Function Filtering Based On Fixed Point Equation. - Weijie Chen; Chenglin Wen; Yi Ren (ICCAIS, 2018)

A Novel Short Time H∞ Filtering for Discrete Linear Systems. - Xiaoliang Feng; Xianpeng Shi; Chenglin Wen; Yanfeng Wang (ICCAIS, 2018)

Filtering-Based Layer-Wise Parameter Update Method for Training a Neural Network. - Siyu Ji; Kaikai Zhai; Chenglin Wen (ICCAIS, 2018)

An Online-Updating Deep CNN Method Based on Kalman Filter for Illumination-Drifting Road Damage Classification. - Yan Li; Mingyue Yang; Siyu Ji; Jing Zhang 037; Chenglin Wen (ICCAIS, 2018)

Stacked Sparse Auto Encoder Network Based Multimode Process Monitoring. - Feiya Lv; Xiaonan Fan 002; Chenglin Wen; Zhejing Bao (ICCAIS, 2018)

Multivariable Composite Prediction Based on Kalman Filtering and Charging and Discharging Scheduling Strategy of Energy Storage System. - Mingming Pan; Xiaohui Sun; Chenglin Wen (ICCAIS, 2018)

Fault Diagnosis and Identification for Discrete-Time Linear Time-Varying Systems Based on Fault Observer and RLSKF. - Zihan Wang; Chenglin Wen; Bing Tang; Yi Ren (ICCAIS, 2018)

Multiple Fault Diagnosis Methods Based on Multilevel Multi-Granularity PCA. - Lan Wu; Sheyan Su; Chenglin Wen (ICCAIS, 2018)

Minor Fault Detection for Permanent Magnet Synchronous Motor Based on Fractional Order Model and Relative Rate of Change. - Wei Yu; Chenglin Wen (ICCAIS, 2018)

Fault Diagnosis for Rotating Machinery with Scarce Labeled Samples: A Deep CNN Method Based on Knowledge-Transferring from Shallow Models. - Jing Zhang 037; Deqing Zhang; Mingyue Yang; Xiaobin Xu 002; Weifeng Liu 004; Chenglin Wen (ICCAIS, 2018)

Secondary Filtering Update Algorithm for Nonlinear Systems - Based on Extended Kalman Filter. - Xiaoliang Feng; Yuxin Feng; Chenglin Wen (ICCSIP (1), 2018)

Modelling Spatial Correlations by Using Deep CNN and LSTM for Texture Image Classification. - Mingyue Yang; Jing Zhang 037; Yuxiang Yang 001; Chenglin Wen (ISIE, 2018)

Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images. - Jing Zhang 037; Yang Cao 010; Yang Wang 015; Chenglin Wen; Chang Wen Chen (ACM Multimedia, 2018)

Structure modeling and estimation of multiple resolvable group targets via graph theory and multi-Bernoulli filter. - Weifeng Liu 004; Shujun Zhu; Chenglin Wen; Yongsheng Yu (Autom., 2018)

Optimal control data scheduling with limited controller-plant communication. - Jiapeng Xu; Chenglin Wen; Daxing Xu (Sci. China Inf. Sci., 2018)

Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images. - Jing Zhang 037; Yang Cao 010; Yang Wang 015; Zheng-Jun Zha; Chenglin Wen; Chang Wen Chen (CoRR, 2018)

A model predictive scheduling algorithm in real-time control systems. - Mengya Kang; Chenglin Wen; Chenxi Wu (IEEE CAA J. Autom. Sinica, 2018)

Self-Tuning Method of PID Parameters Based on Belief Rule Base Inference. - Xiaobin Xu 002; Xue Ma; Cheng-Lin Wen; Darong Huang; Jian-Ning Li 001 (Inf. Technol. Control., 2018)

Texture image segmentation using statistical active contours. - Guowei Gao; Huibin Wang; Chenglin Wen; Lizhong Xu (J. Electronic Imaging, 2018)

Quantized stabilization of switched systems with switching delays and packet loss. - Jingjing Yan; Yuanqing Xia; Chenglin Wen (J. Frankl. Inst., 2018)

Data Preprocessing Method and Fault Diagnosis Based on Evaluation Function of Information Contribution Degree. - Siyu Ji; Chenglin Wen (J. Control. Sci. Eng., 2018)

Image Recognition Based on Two-Dimensional Principal Component Analysis Combining with Wavelet Theory and Frame Theory. - Pingping Tao; Xiaoliang Feng; Chenglin Wen (J. Control. Sci. Eng., 2018)

Fault Diagnosis Method Based on Gap Metric Data Preprocessing and Principal Component Analysis. - Zihan Wang; Chenglin Wen; Xiaoming Xu; Siyu Ji (J. Control. Sci. Eng., 2018)

A Multimodal Feature Fusion-Based Deep Learning Method for Online Fault Diagnosis of Rotating Machinery. - Funa Zhou; Po Hu; Shuai Yang; Chenglin Wen (Sensors, 2018)

Average Accumulative Based Time Variant Model for Early Diagnosis and Prognosis of Slowly Varying Faults. - Funa Zhou; Ju H. Park 001; Chenglin Wen; Po Hu (Sensors, 2018)

A Nonuniform Clutter Intensity Estimation Algorithm for Random Finite Set Filters. - Weifeng Liu 004; Yimei Chen; Hailong Cui; Chenglin Wen (IEEE Trans. Aerosp. Electron. Syst., 2018)

Deep Learning Fault Diagnosis Method Based on Feature Generative Adversarial Networks for Unbalanced Data. - Shuai Yang; Funa Zhou; Danmin Chen; Chenglin Wen (CAA SAFEPROCESS, 2019)

Secure Fusion Filtering and Clustering for Distributed Wireless Sensor Networks. - Xiaoliang Feng; Chenglin Wen; Quanbo Ge; Xiujuan Li (ISIE, 2019)

Fine-grained ECG Classification Based on Deep CNN and Online Decision Fusion. - Jing Zhang 037; Jing Tian; Yang Cao 010; Yuxiang Yang 001; Xiaobin Xu 002; Chenglin Wen (CoRR, 2019)

An EKF-Based Fixed-Point Iterative Filter for Nonlinear Systems. - Xiaoliang Feng; Yuxin Feng; Chenglin Wen (Sensors, 2019)

An Acoustic Resonance-Based Liquid Level Detector With Error Compensation. - Xiaobin Xu 002; Zhenghui Li; Guo Li; Jianning Li 001; Chenglin Wen (IEEE Trans. Instrum. Meas., 2019)

Sharp Processing of Blur Image Based on Generative Adversarial Network. - Jinqing Fan; Lan Wu; Chenglin Wen (ICARM, 2020)

Mutual Information Matrix for Interpretable Fault Detection. - Feiya Lv; Shujian Yu; Chenglin Wen; José C. Príncipe (CoRR, 2020)

Design of Body Surface Injury Area Measurement System based on the Optimized FCM Algorithm. - Lu Wang; Haojie Yang; Lan Wu; Chenglin Wen (Int. J. Perform. Eng., 2020)

Rotating Machinery Fault Classification Method using Multi-Sensor Feature Extraction and Fusion. - Qinyao Zhang; Chenglin Wen (Int. J. Perform. Eng., 2020)

Lightweight multi-scale residual networks with attention for image super-resolution. - Huan Liu; Feilong Cao; Chenglin Wen; Qinghua Zhang (Knowl. Based Syst., 2020)

Deep learning fault diagnosis method based on global optimization GAN for unbalanced data. - Funa Zhou; Shuai Yang; Hamido Fujita; Danmin Chen; Chenglin Wen (Knowl. Based Syst., 2020)

A Steganalysis framework based on CNN using the filter subset selection method. - Lan Wu; Xiaolei Han; Chenglin Wen; Binquan Li (Multim. Tools Appl., 2020)

Adaptive Quantized Estimation Fusion Using Strong Tracking Filtering and Variational Bayesian. - Quanbo Ge; Zhongliang Wei; Mingxin Liu; Junzhi Yu; Chenglin Wen (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Optimal Jamming Attack System Against Remote State Estimation in Wireless Network Control Systems. - Li Yang; Chenglin Wen (IEEE Access, 2021)

Interpretable fault detection using projections of mutual information matrix. - Feiya Lv; Shujian Yu; Chenglin Wen; José C. Príncipe (J. Frankl. Inst., 2021)

Fault diagnosis based on deep learning by extracting inherent common feature of multi-source heterogeneous data. - Funa Zhou; Shuai Yang; Yifan He; Danmin Chen; Chenglin Wen (J. Syst. Control. Eng., 2021)

Multiscale fused network with additive channel-spatial attention for image segmentation. - Chengling Gao; Hailiang Ye; Feilong Cao; Chenglin Wen; Qinghua Zhang; Feng Zhang (Knowl. Based Syst., 2021)

Algorithms of matrix recovery based on truncated Schatten p-norm. - Chenglin Wen; Wenchao Qian; Qinghua Zhang; Feilong Cao (Int. J. Mach. Learn. Cybern., 2021)

Design Method for a Higher Order Extended Kalman Filter Based on Maximum Correlation Entropy and a Taylor Network System. - Qiupeng Wang; Xiaohui Sun; Chenglin Wen (Sensors, 2021)

Rotating Machinery Fault Diagnosis Method by Combining Time-Frequency Domain Features and CNN Knowledge Transfer. - Lihao Ye; Xue Ma; Chenglin Wen (Sensors, 2021)

Three State Estimation Fusion Methods Based on the Characteristic Function Filtering. - Yiran Yuan; Chenglin Wen; Yiting Qiu; Xiaohui Sun (Sensors, 2021)

A sparse denoising deep neural network for improving fault diagnosis performance. - Funa Zhou; Tong Sun; Xiong Hu; Tianzhen Wang; Chenglin Wen (Signal Image Video Process., 2021)

An Asynchronous and Real-Time Update Paradigm of Federated Learning for Fault Diagnosis. - Xue Ma; Chenglin Wen; Tao Wen 002 (IEEE Trans. Ind. Informatics, 2021)

A Survey of Belief Rule-Base Expert System. - Zhi-Jie Zhou 001; Guan-Yu Hu 001; Chang-Hua Hu; Cheng-Lin Wen; Leilei Chang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

A High-Dimensional Video Sequence Completion Method with Traffic Data Completion Generative Adversarial Networks. - Lan Wu; Tian Gao; Chenglin Wen; Kunpeng Zhang; Fanshi Kong (Wirel. Commun. Mob. Comput., 2021)

Decouple the object: Component-level semantic recognizer for point clouds classification. - Rui Hu; Bing Yang; Hailiang Ye; Feilong Cao; Chenglin Wen; Qinghua Zhang (Knowl. Based Syst., 2022)

A new rotation forest ensemble algorithm. - Chenglin Wen; Tingting Huai; Qinghua Zhang; Zhihuan Song; Feilong Cao (Int. J. Mach. Learn. Cybern., 2022)

A Novel Data Sampling Driven Kalman Filter Is Designed by Combining the Characteristic Sampling of UKF and the Random Sampling of EnKF. - Tipo Cui; Xiaohui Sun; Chenglin Wen (Sensors, 2022)

A New Method of Deep Convolutional Neural Network Image Classification Based on Knowledge Transfer in Small Label Sample Environment. - Yunchen Kong; Xue Ma; Chenglin Wen (Sensors, 2022)

Design Method of High-Order Kalman Filter for Strong Nonlinear System Based on Kronecker Product Transform. - Xiaohan Liu; Chenglin Wen; Xiaohui Sun (Sensors, 2022)

A High-Order Kalman Filter Method for Fusion Estimation of Motion Trajectories of Multi-Robot Formation. - Miao Wang; Weifeng Liu 004; Chenglin Wen (Sensors, 2022)

Real-Time Updating High-Order Extended Kalman Filtering Method Based on Fixed-Step Life Prediction for Vehicle Lithium-Ion Batteries. - Jincheng Wang; Chenglin Wen (Sensors, 2022)

A Differential Privacy Strategy Based on Local Features of Non-Gaussian Noise in Federated Learning. - Xinyi Wang; Jincheng Wang; Xue Ma; Chenglin Wen (Sensors, 2022)

Color Occlusion Face Recognition Method Based on Quaternion Non-Convex Sparse Constraint Mechanism. - Chenglin Wen; Yiting Qiu (Sensors, 2022)

Multilevel Fine Fault Diagnosis Method for Motors Based on Feature Extraction of Fractional Fourier Transform. - Hao Wu; Xue Ma; Chenglin Wen (Sensors, 2022)

A New Method of Image Classification Based on Domain Adaptation. - Fangwen Zhao; Weifeng Liu 004; Chenglin Wen (Sensors, 2022)

Reachability Analysis-Based Interval Estimation for Discrete-Time Takagi-Sugeno Fuzzy Systems. - Shenghui Guo; Weijie Ren; Choon Ki Ahn; Chenglin Wen; Hak-Keung Lam (IEEE Trans. Fuzzy Syst., 2022)

Small Sample Learning Mechanism Based on Knowledge-transferring for Fault Diagnosis. - Xue Ma; Xinyu Wu; Chenglin Wen; Xiaohui Sun (SAFEPROCESS, 2023)

Step-by-step Linearized Kalman Filter-Based Fault Detection of Workpiece Machining. - Xiaohui Sun; Xinyu Wu; Chenglin Wen; Xue Ma (SAFEPROCESS, 2023)

Multi-Spill Surface Target Tracking Based on Oil Particle-Random Point Pattern. - Qiankun Sun; Weifeng Liu 004; Chenglin Wen (ICCAIS, 2023)

TSViT: A Time Series Vision Transformer for Fault Diagnosis. - Shouhua Zhang; Jiehan Zhou; Xue Ma; Chenglin Wen; Susanna Pirttikangas; Chen Yu 003; Weishan Zhang; Chunsheng Yang (CoRR, 2023)

Multilevel Fine Fingerprint Authentication Method for Key Operating Equipment Identification in Cyber-Physical Systems. - Li Yang; Chenglin Wen; Tao Wen 002 (IEEE Trans. Ind. Informatics, 2023)

A Video Sequence Face Expression Recognition Method Based on Squeeze-and-Excitation and 3DPCA Network. - Chang Li; Chenglin Wen; Yiting Qiu (Sensors, 2023)

Design of a High-Order Kalman Filter for State and Measurement of A Class of Nonlinear Systems Based on Kronecker Product Augmented Dimension. - Deyan Peng; Chenglin Wen; Meilei Lv (Sensors, 2023)

A dynamic graph aggregation framework for 3D point cloud registration. - Feilong Cao; Jiatong Shi; Chenglin Wen (Eng. Appl. Artif. Intell., 2023)

A Multiscale Recursive Attention Gate Federation Method for Multiple Working Conditions Fault Diagnosis. - Zhiqiang Zhang; Funa Zhou; Chaoge Wang; Chenglin Wen; Xiong Hu; Tianzhen Wang (Entropy, 2023)

A personalized federated learning-based fault diagnosis method for data suffering from network attacks. - Zhiqiang Zhang; Funa Zhou; Chongsheng Zhang; Chenglin Wen; Xiong Hu; Tianzhen Wang (Appl. Intell., 2023)

Attention gate guided multiscale recursive fusion strategy for deep neural network-based fault diagnosis. - Zhiqiang Zhang; Funa Zhou; Hamid Reza Karimi; Hamido Fujita; Xiong Hu; Chenglin Wen; Tianzhen Wang (Eng. Appl. Artif. Intell., 2023)

An industrial process fault diagnosis method based on independent slow feature analysis and stacked sparse autoencoder network. - Chang Li; Chenglin Wen; Zhe Zhou (J. Frankl. Inst., 2024)

Incipient fault detection and isolation with Cauchy-Schwarz divergence: A probabilistic approach. - Feiya Lv; Shujian Yu; Huawei Ye; Jinsong Zhao; Chenglin Wen (J. Frankl. Inst., 2024)

A new method for point cloud registration: Adaptive relation-oriented convolution and recurrent correspondence-walk. - Feilong Cao; Lei Zhu; Hailiang Ye; Chenglin Wen; Qinghua Zhang (Knowl. Based Syst., 2024)

Estimation of Marine Oil Spill Surface Characteristics Based on Laser-Induced Fluorescence With IA-DBSCAN. - Qiankun Sun; Weifeng Liu 004; Chenglin Wen; Lei Cai (IEEE Trans. Instrum. Meas., 2024)

Autoencoder-Multidimensional Taylor Network for Intelligent Fault Diagnosis Under Privacy Preservation. - Li Yang; Chenglin Wen; Zhe Zhou (IEEE Trans. Instrum. Meas., 2024)

High-Order Extended Kalman Filter for State Estimation of Nonlinear Systems. - Linwang Ding; Chenglin Wen (Symmetry, 2024)

Unsupervised domain specificity for knowledge transfer. - Chenglin Wen; Fangwen Zhao; Weifeng Liu 004 (Int. J. Mach. Learn. Cybern., 2024)

The Design Method of Enhanced Unscented Kalman Filter Considering UT Transform Truncation Error. - Ziran Luo; Chenglin Wen (IEEE Access, 2025)

A unified model integrating Granger causality-based causal discovery and fault diagnosis in chemical processes. - Feiya Lv; Borui Yang; Shujian Yu; Shengwu Zou; Xiaolin Wang; Jinsong Zhao; Chenglin Wen (Comput. Chem. Eng., 2025)

Design of an incremental Extended Kalman Filter group for a class of multiplicatively decomposed strongly nonlinear systems considering hidden state variables. - Haiyang Zhang; Chenglin Wen (Neurocomputing, 2025)

An adaptive contextual learning network for image inpainting. - Feilong Cao; Xinru Shao; Rui Zhang; Chenglin Wen (Signal Process. Image Commun., 2025)

Time-Varying Threshold and Signed-Rectified Regressor Design of Diagnosis Observer for Analog Circuits With Intermittent Fault. - Shigen Gao; Kaibo Zhao; Wenxiao Si; Chenglin Wen (IEEE Trans. Instrum. Meas., 2025)