A multifunctional underwater microrobot for mother-son underwater robot system. - Liwei Shi; Shuxiang Guo; Shaowu Pan; Yanlin He; Ping Guo (ROBIO, 2013)

A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise. - Yan-Lin He; Zhiqiang Geng; Yuan Xu; Qunxiong Zhu (Neurocomputing, 2014)

A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets. - Yan-Lin He; Zhiqiang Geng; Qunxiong Zhu (Eng. Appl. Artif. Intell., 2015)

Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state. - Yanlin He; Zhiqiang Geng; Qunxiong Zhu (Neurocomputing, 2015)

Design and evaluation of quadruped gaits for amphibious spherical robots. - Liwei Shi; Shaowu Pan; Shuxiang Guo; Kun Tang; Ping Guo; Rui Xiao; Yanlin He (ROBIO, 2016)

An enhanced extreme learning machine with a double parallel structure and its application to modeling complex chemical processes. - Yanlin He; Pingjiang Wang; Zhiqiang Geng; Yongming Han; Hao Sheng 001; Qunxiong Zhu (ASCC, 2017)

A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes. - Yuan Xu; Ziqian Zhou; Zhiqiang Geng; Yanqing Wang; Yanlin He; Qunxiong Zhu (ASCC, 2017)

An improved threshold method based on histogram entropy for the blood vessel segmentation. - Shuxiang Guo; Qiuxia Yang; Baofeng Gao; Xiaojuan Cai; Yan Zhao 017; Nan Xiao 003; Yanlin He; Chaonan Zhang (CBS, 2017)

A PSO based virtual sample generation method for small sample sets: Applications to regression datasets. - Zhong-Sheng Chen; Bao Zhu; Yan-Lin He; Le-An Yu (Eng. Appl. Artif. Intell., 2017)

Visual Detection and Tracking System for a Spherical Amphibious Robot. - Shuxiang Guo; Shaowu Pan; Liwei Shi; Ping Guo; Yanlin He; Kun Tang (Sensors, 2017)

Pattern recognition for water flooded layer based on ensemble classifier. - Zhiqiang Geng; Xuan Hu; Qunxiong Zhu; Yongming Han; Yuan Xu; Yanlin He (CoDIT, 2018)

A novel nonlinear virtual sample generation approach integrating extreme learning machine with noise injection for enhancing energy modeling and analysis on small data: Application to petrochemical industries. - Yanlin He; Zhiqiang Geng; Yongming Han; Yuan Xu; Qunxiong Zhu (CoDIT, 2018)

Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network. - Chen Zhang; Qunxiong Zhu; Zhiqiang Geng; Yuan Xu; Yongming Han; Yanlin He; Fang Duan (CoDIT, 2018)

A novel intelligent faults diagnosis approach based on Ada-REIELM and its application to complex chemical processes. - Yuan Xu; Xue Jiang; Mingqing Zhang; Yanlin He; Fang Duan (ICACI, 2018)

A Storm-Based Parallel Clustering Algorithm of Streaming Data. - Fang-Zhu Xu; Zhi-Ying Jiang; Yan-Lin He; Ya-Jie Wang; Qunxiong Zhu (ICONIP (4), 2018)

Research on the low-order control strategy of the power system with time delay. - Xinyi Yu; Xuejinfeng Hong; Jun Qi; Linlin Ou; Yanlin He (IEEE CAA J. Autom. Sinica, 2018)

Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis. - Zhiqiang Geng; Fenfen Liu; Yongming Han; Qunxiong Zhu; Yanlin He (ASCC, 2019)

Soft sensor development using PLSR based multi-kernel ELM. - Qunxiong Zhu; Xiaohan Zhang; Huihui Gao; Zhiqiang Geng; Yongming Han; Yan-Lin He; Yuan Xu (ASCC, 2019)

Improved Alarm Visualization System Based on Two-Dimensional Online Root-cause Contribution Graph for Industry 4.0. - Yi Luo; Yanlin He; Chongyang Lin; Qunxiong Zhu (ICNSC, 2019)

Intelligent modeling using a novel feature extraction based multiple activation functions extreme learning machine. - Tong Zou; Yi Luo; Xiaohan Zhang; Qunxiong Zhu; Yan-Lin He (ICNSC, 2019)

Motion Characteristic Evaluation of an amphibious spherical robot. - Yanlin He; Shuxiang Guo; Liwei Shi; Huiming Xing; Zhan Chen; Shuxiang Su (Int. J. Robotics Autom., 2019)

Design and Implementation of the Visual Detection System for amphibious robots. - Yanlin He; Xu Zhang 051; Lianqing Zhu; Guangkai Sun; Junfei Qiao 001 (Int. J. Robotics Autom., 2019)

Posture measurement of soft pneumatic bending actuator using optical fibre-based sensing membrane. - Guangkai Sun; Yang Hu; Mingli Dong; Yanlin He; Mingxin Yu; Lianqing Zhu (Ind. Robot, 2019)

Whale optimized mixed kernel function of support vector machine for colorectal cancer diagnosis. - Dandan Zhao; Hong Liu 013; Yuanjie Zheng; Yanlin He; Dianjie Lu; Chen Lyu 001 (J. Biomed. Informatics, 2019)

A reliable method for colorectal cancer prediction based on feature selection and support vector machine. - Dandan Zhao; Hong Liu 013; Yuanjie Zheng; Yanlin He; Dianjie Lu; Chen Lyu 001 (Medical Biol. Eng. Comput., 2019)

Optical Fiber Sensor Performance Evaluation in Soft Polyimide Film with Different Thickness Ratios. - Yanlin He; Xu Zhang 051; Lianqing Zhu; Guangkai Sun; Xiaoping Lou; Mingli Dong (Sensors, 2019)

A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring. - Yuan Xu; Sheng-Qi Shen; Yan-Lin He; Qunxiong Zhu (IEEE Trans. Control. Syst. Technol., 2019)

An Improved Term Weighting Method for Content Analysis on Chinese Internet Media Contents. - Zhi-Ying Jiang; Bo Gao; Xingjian Tian; Yan-Lin He; Qunxiong Zhu (CoDIT, 2020)

Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples. - Yan-Lin He; Yang Zhao; Xiao Hu; Xiao-Na Yan; Qunxiong Zhu; Yuan Xu (Eng. Appl. Artif. Intell., 2020)

EEG-based tonic cold pain assessment using extreme learning machine. - Mingxin Yu; Hao Yan; Jing Han; Yingzi Lin; Lianqing Zhu; Xiaoying Tang; Guangkai Sun; Yanlin He; Yikang Guo (Intell. Data Anal., 2020)

A Latency-Optimized Lookup Table for Nonlinearity Calibration in VCO-Based Sigma-Delta ADCs. - Yanlin He; Yuekang Guo; Jing Jin 005; Jianjun Zhou (MWSCAS, 2021)

Novel virtual sample generation using conditional GAN for developing soft sensor with small data. - Qunxiong Zhu; Kun-Rui Hou; Zhong-Sheng Chen; Zi-Shu Gao; Yuan Xu; Yan-Lin He (Eng. Appl. Artif. Intell., 2021)

Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system. - Zhong-Sheng Chen; Qunxiong Zhu; Yuan Xu; Yan-Lin He; Qinglin Su; Yiqing C. Liu; Zoltán K. Nagy (Soft Comput., 2021)

Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated With Sparse Autoencoder. - Yan-Lin He; Kun Li 012; Ning Zhang 036; Yuan Xu; Qun-Xiong Zhu (IEEE Trans. Instrum. Meas., 2021)

Novel Virtual Sample Generation Using Target-Relevant Autoencoder for Small Data-Based Soft Sensor. - Ye Tian 033; Yuan Xu; Qun-Xiong Zhu; Yan-Lin He (IEEE Trans. Instrum. Meas., 2021)

Novel Imbalanced Fault Diagnosis Method based on CSMOTE integrated with LSDA and LightGBM for Industrial Process. - Qun-Xiong Zhu; Ning Zhang 036; Yan-Lin He; Yuan Xu (CoDIT, 2022)

An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost. - Xue Jiang; Yuan Xu; Wei Ke 001; Yang Zhang 032; Qun-Xiong Zhu; Yan-Lin He (IEEE Trans. Instrum. Meas., 2022)

Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing. - Ye Tian 033; Yuan Xu; Qun-Xiong Zhu; Yan-Lin He (IEEE Trans. Instrum. Meas., 2022)

Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis. - Qun-Xiong Zhu; Xin-Wei Wang; Ning Zhang 036; Yuan Xu; Yan-Lin He (IEEE Trans. Instrum. Meas., 2022)

A Dual Relation Extractor for Object Detection. - Yang Zhang 032; Hao Bai; Yuan Xu; Yanlin He; Qunxiong Zhu; Hao Sheng 001 (ICTAI, 2023)

A New Distributed Echo State Network Integrated With an Auto-Encoder for Dynamic Soft Sensing. - Yan-Lin He; Lei Chen 080; Yuan Xu; Qun-Xiong Zhu; Shan Lu 009 (IEEE Trans. Instrum. Meas., 2023)

Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis. - Ning Zhang 036; Ye Tian 033; Xin-Wei Wang; Yuan Xu; Qun-Xiong Zhu; Yan-Lin He (IEEE Trans. Instrum. Meas., 2023)

Bilateral association tracking with parzen window density estimation. - Yuan Xu; Youyuan Chen; Yang Zhang 032; Qunxiong Zhu; Yanlin He; Hao Sheng 001 (IET Image Process., 2023)

Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing. - Yan-Lin He; Xing-Yuan Li 001; Jia-Hui Ma; Qun-Xiong Zhu; Shan Lu 009 (Eng. Appl. Artif. Intell., 2023)

3D zebrafish tracking with topology association. - Yuan Xu; Yichao Jin; Yang Zhang 032; Qunxiong Zhu; Yanlin He; Hao Sheng 001 (IET Image Process., 2023)

Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis. - Yan-Lin He; Kun Li 012; Li-Long Liang; Yuan Xu; Qun-Xiong Zhu (IEEE Trans. Reliab., 2023)

Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes. - Ning Zhang 036; Yuan Xu; Qun-Xiong Zhu; Yan-Lin He (IEEE Trans. Reliab., 2023)

Farthest-Nearest Distance Neighborhood and Locality Projections Integrated With Bootstrap for Industrial Process Fault Diagnosis. - Ning Zhang 036; Yuan Xu; Qun-Xiong Zhu; Yan-Lin He (IEEE Trans. Ind. Informatics, 2023)

A Novel Catheter Shape-Sensing Method Based on Deep Learning with a Multi-Core Optical Fiber. - Fei Han; Yanlin He; Hangwei Zhu; Kangpeng Zhou (Sensors, 2023)

Novel virtual sample generation method based on data augmentation and weighted interpolation for soft sensing with small data. - Xiao-Lu Song; Yan-Lin He; Xing-Yuan Li 001; Qun-Xiong Zhu; Yuan Xu (Expert Syst. Appl., 2023)

Novel Regularization Double Preserving Integrated With Neighborhood Locality Projections for Fault Diagnosis. - Ning Zhang 036; Yuan Xu; Qun-Xiong Zhu; Yan-Lin He (IEEE Trans. Ind. Informatics, 2023)

Novel Virtual Sample Generation Approach Using Cubic Spline Interpolation Based Autoencoder for Industrial Soft Sensing Under the Condition of Limited Samples. - Peng-Fei Wang; Yuan Xu; Qun-Xiong Zhu; Yan-Lin He (CoDIT, 2024)

Novel Virtual Sample Generation Using Score Based Model for Addressing Small Data in Soft Sensing. - Hai-Lin Wang; Qun-Xiong Zhu; Yan-Lin He; Yuan Xu (CoDIT, 2024)

Single- Frame Background Reconstruction Based on Image Semantic Propagation. - Yang Zhang 032; Peize Li; Yuan Xu; Qunxiong Zhu; Yanlin He; Mingqing Zhang (ICARCV, 2024)

BGF-Net: Boundary guided filter network for medical image segmentation. - Yanlin He; Yugen Yi; Caixia Zheng; Jun Kong 004 (Comput. Biol. Medicine, 2024)

Self-ensembling with mask-boundary domain adaptation for optic disc and cup segmentation. - Yanlin He; Jun Kong 004; Di Liu 004; Juan Li; Caixia Zheng (Eng. Appl. Artif. Intell., 2024)

IC points weight learning-based GCN and improving feature distribution for industrial fault diagnosis. - Haoyang Qing; Ning Zhang 036; Yanlin He; Yuan Xu; Qunxiong Zhu (Expert Syst. Appl., 2024)

Soft Sensor Enhancement for Multimodal Industrial Process Data: Meta Regression Gaussian Mixture Variational Autoencoder. - Lei Chen 080; Yuan Xu; Qun-Xiong Zhu; Yan-Lin He (IEEE Trans. Instrum. Meas., 2024)

Novel Deep Layers-Extended Autoencoder With Correlation and Its Industrial Soft Sensing. - Ye Tian 033; Qun-Xiong Zhu; Yan-Lin He (IEEE Trans. Ind. Informatics, 2024)

Adversarial Attacks for Neural Network-Based Industrial Soft Sensors: Mirror Output Attack and Translation Mirror Output Attack. - Lei Chen 080; Qun-Xiong Zhu; Yan-Lin He (IEEE Trans. Ind. Informatics, 2024)

Quality Regularization-Based Semisupervised Adversarial Transfer Model With Unlabeled Data for Industrial Soft Sensing. - Yan-Lin He; Lei Chen 080; Qun-Xiong Zhu (IEEE Trans. Ind. Informatics, 2024)

Novel dual-network autoencoder based adversarial domain adaptation with Wasserstein divergence for fault diagnosis of unlabeled data. - Jun-Feng Yang; Ning Zhang 036; Yan-Lin He; Qun-Xiong Zhu; Yuan Xu (Expert Syst. Appl., 2024)

Novel Multiattribute Space-Based LSTM for Industrial Soft Sensor Applications. - Yan-Lin He; Shao-Hua Lv; Qun-Xiong Zhu; Shan Lu 009 (IEEE Trans. Ind. Informatics, 2024)

Improved Bi-LSTM With Distributed Nonlinear Extensions and Parallel Inputs for Soft Sensing. - Yan-Lin He; Peng-Fei Wang; Qun-Xiong Zhu (IEEE Trans. Ind. Informatics, 2024)

Data Mode-Related Generative Adversarial Network for Industrial Soft Sensor Application. - Xingyuan Li 001; Qun-Xiong Zhu; Yan-Lin He (IEEE Trans. Ind. Informatics, 2024)

Novel Schur Decomposition Orthogonal Exponential DLPP With Mixture Distance for Fault Diagnosis. - Yan-Lin He; Jin-Tao Liang; Ye Tian 033; Qun-Xiong Zhu (IEEE Trans. Ind. Informatics, 2024)

Single-Stage Related Object Detection for Intelligent Industrial Surveillance. - Yang Zhang 032; Hao Bai; Yuan Xu; Yanlin He; Qunxiong Zhu; Hao Sheng 001 (IEEE Trans. Ind. Informatics, 2024)

Adaptive Multi-Head Self-Attention Based Supervised VAE for Industrial Soft Sensing With Missing Data. - Lei Chen 080; Yuan Xu; Qun-Xiong Zhu; Yan-Lin He (IEEE Trans Autom. Sci. Eng., 2024)

Improved Multi-Distance ARMF Integrated With LTSA Based Pattern Matching Method and Its Application in Fault Diagnosis. - Ning Zhang 036; Yuan Xu; Qun-Xiong Zhu; Yan-Lin He (IEEE Trans Autom. Sci. Eng., 2024)

Novel Distributed GRUs Based on Hybrid Self-Attention Mechanism for Dynamic Soft Sensing. - Yan-Lin He; Xing-Yuan Li 001; Yuan Xu; Qun-Xiong Zhu; Shan Lu 009 (IEEE Trans Autom. Sci. Eng., 2024)

Feature Representation-Based Cross-Modality Shared-Specific Network and Its Application in Multimode Process Soft Sensing. - Xiao-Lu Song; Lei Chen 080; Ning Zhang 036; Yan-Lin He; Yuan Xu; Qun-Xiong Zhu (IEEE Trans. Ind. Informatics, 2024)

VSAFL: Verifiable and Secure Aggregation With (Poly) Logarithmic Overhead in Federated Learning. - Yanlin He; Dehua Zhou; Qiaohong Zhang; Ziqi Tan (IEEE Internet Things J., 2024)

Novel Multiscale Trend Decomposition LSTM Based on Feature Selection for Industrial Soft Sensing. - Peng-Fei Wang; Qun-Xiong Zhu; Yan-Lin He (IEEE Trans. Ind. Informatics, 2024)

MDFF: Multi-Domain feature fusion for anomaly recognition. - Yuan Xu; Cheng-Shu Ye; Hai-Ming Niu; Si-Yuan Chen; Yi Luo; Qun-Xiong Zhu; Yan-Lin He; Yang Zhang 032; Ming-Qing Zhang (Adv. Eng. Informatics, 2025)

Virtual sample generation for soft-sensing in small sample scenarios using glow-embedded variational autoencoder. - Yan Xu; Qun-Xiong Zhu; Wei Ke 001; Yan-Lin He; Ming-Qing Zhang; Yuan Xu (Comput. Chem. Eng., 2025)

Weighted nonlinear information extension based time series Kolmogorov-Arnold Network for industrial application with soft sensing. - Guo-Yu Liu; Qun-Xiong Zhu; Ning Zhang 036; Yan-Lin He; Ming-Qing Zhang; Yuan Xu (Eng. Appl. Artif. Intell., 2025)

Latent temporal smoothness-induced Schatten-p norm factorization for sequential subspace clustering. - Yuan Xu; Zhen-Zhen Zhao; Tong-Wei Lu; Wei Ke 001; Yi Luo; Yan-Lin He; Qun-Xiong Zhu; Yang Zhang 032; Ming-Qing Zhang (Eng. Appl. Artif. Intell., 2025)

Regression loss-assisted conditional style generative adversarial network for virtual sample generation with small data in soft sensing. - Xue-Yu Zhang; Qun-Xiong Zhu; Wei Ke 001; Yan-Lin He; Ming-Qing Zhang; Yuan Xu (Eng. Appl. Artif. Intell., 2025)

Attention-guided low-rank convolutional weighting for industrial missing data attacks. - Ming-Qing Zhang; Liang-Yu Zhou; Guo-Yu Liu; Yan-Lin He; Qun-Xiong Zhu; Xin-Yi Cao; Yang Zhang 032; Yuan Xu (Eng. Appl. Artif. Intell., 2025)

Fundus image segmentation method based on improved DeepLabv3+ network. - Liguo Zheng; Yingying Ge; Meili Zhu; Huican Li; Yanlin He; Caixia Zheng (Int. J. Wirel. Mob. Comput., 2025)

A novel virtual sample generation method based on dual correlation generative adversarial nets for soft sensing application. - Qun-Xiong Zhu; Jie-Long Zhang; Xiao-Lu Song; Yan-Lin He; Yuan Xu (Inf. Sci., 2025)

Triple-Gated Bidirectional Variational Pyramid Network for Multirate Industrial Soft Sensing. - Yan-Lin He; Wei Zhang; Lei Chen 080; Yuan Xu; Qun-Xiong Zhu; Huihui Gao (IEEE Trans Autom. Sci. Eng., 2025)

Cross-Modality Manifold Adaptive Network for Industrial Multimode Processes and Its Applications. - Xiao-Lu Song; Ning Zhang 036; Yan-Lin He; Yuan Xu; Qun-Xiong Zhu (IEEE Trans Autom. Sci. Eng., 2025)

Novel LPP-Constructed Topology Integrated With Knowledge-Based GCN for Fault Diagnosis. - Jin-Tao Liang; Yuan Xu; Qun-Xiong Zhu; Yan-Lin He (IEEE Trans. Instrum. Meas., 2025)

Multiattention Spatiotemporal Fusion Graph Neural Network for Chemical Process Fault Diagnosis. - Yuan Xu; Chuan Zhang; Yi Luo; Wei Ke 001; Qun-Xiong Zhu; Yan-Lin He; Yang Zhang 032; Ming-Qing Zhang (IEEE Trans. Instrum. Meas., 2025)

Novel Manifold Autoencoder for Industrial Process Fault Diagnosis. - Yan-Lin He; Zi-Yang Lu; Qun-Xiong Zhu (IEEE Trans. Ind. Informatics, 2025)

Industrial Data Imputation Based on Multiscale Spatiotemporal Information Embedding With Asymmetrical Transformer. - Xing-Yuan Li 001; Yuan Xu; Qun-Xiong Zhu; Yan-Lin He (IEEE Trans. Neural Networks Learn. Syst., 2025)