Optimal Design of Grounding Grids Based on Genetic Algorithm. - Yi-min Yang 001; Min-fang Peng; Hai-tao Hong; Yue-hua Yuan (WGEC, 2009)

Hybrid chaos optimization algorithm with artificial emotion. - Yimin Yang 001; Yaonan Wang 001; Xiaofang Yuan; Feng Yin (Appl. Math. Comput., 2012)

Improved parallel chaos optimization algorithm. - Xiaofang Yuan; Yimin Yang 001; Hui Wang (Appl. Math. Comput., 2012)

Inverse Kinematics Solution for Robot Manipulator based on Neural Network under Joint Subspace. - Feng Yin; Yaonan Wang 001; Yi-min Yang 001 (Int. J. Comput. Commun. Control, 2012)

Bidirectional Extreme Learning Machine for Regression Problem and Its Learning Effectiveness. - Yimin Yang 001; Yaonan Wang 001; Xiaofang Yuan (IEEE Trans. Neural Networks Learn. Syst., 2012)

Harmony search algorithm-based fuzzy-PID controller for electronic throttle valve. - Hui Wang; Xiaofang Yuan; Yaonan Wang 001; Yimin Yang 001 (Neural Comput. Appl., 2013)

Neural network-based self-learning control for power transmission line deicing robot. - Yimin Yang 001; Yaonan Wang 001; Xiaofang Yuan; Youhui Chen; Lei Tan (Neural Comput. Appl., 2013)

Genetic algorithm-based adaptive fuzzy sliding mode controller for electronic throttle valve. - Xiaofang Yuan; Yimin Yang 001; Hui Wang; Yaonan Wang 001 (Neural Comput. Appl., 2013)

Parallel Chaos Search Based Incremental Extreme Learning Machine. - Yimin Yang 001; Yaonan Wang 001; Xiaofang Yuan (Neural Process. Lett., 2013)

Hybrid parallel chaos optimization algorithm with harmony search algorithm. - Xiaofang Yuan; Jingyi Zhao; Yimin Yang 001; Yaonan Wang 001 (Appl. Soft Comput., 2014)

Pulling back error to the hidden-node parameter technology: Single-hidden-layer feedforward network without output weight. - Yimin Yang 001; Q. M. Jonathan Wu; Guangbin Huang; Yaonan Wang 001 (CoRR, 2014)

Robust tracking control of uncertain dynamic nonholonomic systems using recurrent neural networks. - Zhiqiang Miao; Yaonan Wang 001; Yimin Yang 001 (Neurocomputing, 2014)

Predictive Control Strategy Based on Extreme Learning Machine for Path-Tracking of Autonomous Mobile Robot. - Yimin Yang 001; Xiaofeng Lin; Zhiqiang Miao; Xiaofang Yuan; Yaonan Wang 001 (Intell. Autom. Soft Comput., 2015)

Data Partition Learning With Multiple Extreme Learning Machines. - Yimin Yang 001; Q. M. Jonathan Wu; Yaonan Wang 001; K. M. Zeeshan; Xiaofeng Lin; Xiaofang Yuan (IEEE Trans. Cybern., 2015)

A Method to Calibrate Vehicle-Mounted Cameras Under Urban Traffic Scenes. - Yaonan Wang 001; Xiao Lu 002; Zhigang Ling; Yimin Yang 001; Zhenjun Zhang; Kena Wang (IEEE Trans. Intell. Transp. Syst., 2015)

Progressive Learning Machine: A New Approach for General Hybrid System Approximation. - Yimin Yang 001; Yaonan Wang 001; Q. M. Jonathan Wu; Xiaofeng Lin; Min Liu 008 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Learning Time-optimal Anti-swing Trajectories for Overhead Crane Systems. - Xuebo Zhang; Ruijie Xue; Yimin Yang 001; Long Cheng 001; Yongchun Fang (ISNN, 2016)

Multilayer Extreme Learning Machine With Subnetwork Nodes for Representation Learning. - Yimin Yang 001; Q. M. Jonathan Wu (IEEE Trans. Cybern., 2016)

Extreme Learning Machine With Subnetwork Hidden Nodes for Regression and Classification. - Yimin Yang 001; Q. M. Jonathan Wu (IEEE Trans. Cybern., 2016)

Fusion of transfer learning features and its application in image classification. - Akilan Thangarajah; Q. M. Jonathan Wu; Yimin Yang 001; Amin Safaei 001 (CCECE, 2017)

System-on-a-chip (SoC)-based hardware acceleration for extreme learning machine. - Amin Safaei 001; Q. M. Jonathan Wu; Yimin Yang 001; Akilan Thangarajah (ICECS, 2017)

Effect of wavelet and hybrid classification on action recognition. - Eman Mohammadi; Q. M. Jonathan Wu; Yimin Yang 001; Mehrdad Saif (ICIP, 2017)

Non-iterative recomputation of dense layers for performance improvement of DCNN. - Yimin Yang 001; Q. M. Jonathan Wu; Xiexing Feng; Akilan Thangarajah (CoRR, 2018)

Fusion-based foreground enhancement for background subtraction using multivariate multi-model Gaussian distribution. - Akilan Thangarajah; Q. M. Jonathan Wu; Yimin Yang 001 (Inf. Sci., 2018)

System-on-a-chip (SoC)-based hardware acceleration for foreground and background identification. - Amin Safaei 001; Q. M. Jonathan Wu; Yimin Yang 001 (J. Frankl. Inst., 2018)

EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes. - Yimin Yang 001; Q. M. Jonathan Wu; Wei-Long Zheng; Bao-Liang Lu (IEEE Trans. Cogn. Dev. Syst., 2018)

Automatic Visual Detection System of Railway Surface Defects With Curvature Filter and Improved Gaussian Mixture Model. - Hui Zhang 023; Xiating Jin; Q. M. Jonathan Wu; Yaonan Wang 001; Zhendong He; Yimin Yang 001 (IEEE Trans. Instrum. Meas., 2018)

Automated Machine Vision System for Liquid Particle Inspection of Pharmaceutical Injection. - Hui Zhang 023; Xuanlun Li; Hang Zhong; Yimin Yang 001; Q. M. Jonathan Wu; Ji Ge; Yaonan Wang 001 (IEEE Trans. Instrum. Meas., 2018)

Autoencoder With Invertible Functions for Dimension Reduction and Image Reconstruction. - Yimin Yang 001; Q. M. Jonathan Wu; Yaonan Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Automatic Kidney Lesion Detection for CT Images Using Morphological Cascade Convolutional Neural Networks. - Hui Zhang 023; Yurong Chen 003; Yanan Song; Zhenlin Xiong; Yimin Yang 001; Q. M. Jonathan Wu (IEEE Access, 2019)

A Novel Ship Target Detection Algorithm Based on Error Self-adjustment Extreme Learning Machine and Cascade Classifier. - Wandong Zhang; Qingzhong Li; Q. M. Jonathan Wu; Yimin Yang 001; Ming Li 057 (Cogn. Comput., 2019)

Polynomial-Based Google Map Graphical Password System against Shoulder-Surfing Attacks in Cloud Environment. - Zhili Zhou 001; Ching-Nung Yang; Yimin Yang 001; Xingming Sun (Complex., 2019)

Hierarchical feature representation for unconstrained video analysis. - Eman Mohammadi; Q. M. Jonathan Wu; Mehrdad Saif; Yimin Yang 001 (Neurocomputing, 2019)

System-on-a-Chip (SoC)-Based Hardware Acceleration for an Online Sequential Extreme Learning Machine (OS-ELM). - Amin Safaei 001; Q. M. Jonathan Wu; Akilan Thangarajah; Yimin Yang 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Features Combined From Hundreds of Midlayers: Hierarchical Networks With Subnetwork Nodes. - Yimin Yang 001; Q. M. Jonathan Wu (IEEE Trans. Neural Networks Learn. Syst., 2019)

Predicting COVID-19 trends in Canada: a tale of four models. - Wandong Zhang; W. G. Will Zhao; Dana Wu; Yimin Yang 001 (Cogn. Comput. Syst., 2020)

Deep Networks with Fast Retraining. - Wandong Zhang; Yimin Yang 001; Q. M. Jonathan Wu (CoRR, 2020)

An Autuencoder-based Data Augmentation Strategy for Generalization Improvement of DCNNs. - Xiexing Feng; Q. M. Jonathan Wu; Yimin Yang 001; Libo Cao (Neurocomputing, 2020)

Wi-HSNN: A subnetwork-based encoding structure for dimension reduction and food classification via harnessing multi-CNN model high-level features. - Wandong Zhang; Q. M. Jonathan Wu; Yimin Yang 001 (Neurocomputing, 2020)

Real-time image carrier generation based on generative adversarial network and fast object detection. - Chuanlong Li; Xingming Sun; Zhili Zhou 001; Yimin Yang 001 (J. Real Time Image Process., 2020)

Recomputation of the Dense Layers for Performance Improvement of DCNN. - Yimin Yang 001; Q. M. Jonathan Wu; Xiexing Feng; Thangarajah Akilan (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

DM-RIS: Deep Multimodel Rail Inspection System With Improved MRF-GMM and CNN. - Xiating Jin; Yaonan Wang 001; Hui Zhang 023; Hang Zhong; Li Liu 060; Q. M. Jonathan Wu; Yimin Yang 001 (IEEE Trans. Instrum. Meas., 2020)

Deep Multimodel Cascade Method Based on CNN and Random Forest for Pharmaceutical Particle Detection. - Hui Zhang 023; Miao Zhao; Li Liu 060; Hang Zhong; Zhicong Liang; Yimin Yang 001; Xianen Zhou; Q. M. Jonathan Wu; Yaonan Wang 001 (IEEE Trans. Instrum. Meas., 2020)

A 3D CNN-LSTM-Based Image-to-Image Foreground Segmentation. - Thangarajah Akilan; Qingming Jonathan Wu; Amin Safaei 001; Jie Huo; Yimin Yang 001 (IEEE Trans. Intell. Transp. Syst., 2020)

Region-Level Visual Consistency Verification for Large-Scale Partial-Duplicate Image Search. - Zhili Zhou 001; Q. M. Jonathan Wu; Yimin Yang 001; Xingming Sun (ACM Trans. Multim. Comput. Commun. Appl., 2020)

End-to-End Generative Adversarial Face Hallucination Through Residual In Internal Dense Network. - Xiang Wang; Yimin Yang 001; Qixiang Pang; Qiang Tang 002; Shan Du (EUSIPCO, 2021)

Multi-Model Least Squares-Based Recomputation Framework for Large Data Analysis. - Wandong Zhang; Q. M. Jonathan Wu; Yimin Yang 001; W. G. Will Zhao; Hui Zhang 023 (CoRR, 2021)

Deconvolution-and-convolution Networks. - Yimin Yang 001; Wandong Zhang; Q. M. Jonathan Wu; W. G. Will Zhao; Ao Chen (CoRR, 2021)

A compensation-based optimization strategy for top dense layer training. - Xiexing Feng; Q. M. Jonathan Wu; Yimin Yang 001; Libo Cao (Neurocomputing, 2021)

Echo state network with a global reversible autoencoder for time series classification. - Heshan Wang; Q. M. Jonathan Wu; Dongshu Wang; Jianbin Xin; Yimin Yang 001; Kunjie Yu (Inf. Sci., 2021)

Real-time stage-wise object tracking in traffic scenes: an online tracker selection method via deep reinforcement learning. - Xiao Lu 002; Yihong Cao; Sheng Liu; Xuanyu Zhou; Yimin Yang 001 (Neural Comput. Appl., 2021)

Non-iterative online sequential learning strategy for autoencoder and classifier. - Adhri Nandini Paul; Peizhi Yan; Yimin Yang 001; Hui Zhang 023; Shan Du; Q. M. Jonathan Wu (Neural Comput. Appl., 2021)

Faster Single Model Vigilance Detection Based on Deep Learning. - Wei Wu; Wei Sun 028; Q. M. Jonathan Wu; Cheng Zhang; Yimin Yang 001; Hongshan Yu; Bao-Liang Lu (IEEE Trans. Cogn. Dev. Syst., 2021)

A Regression Method With Subnetwork Neurons for Vigilance Estimation Using EOG and EEG. - Wei Wu; Q. M. Jonathan Wu; Wei Sun 028; Yimin Yang 001; Xiaofang Yuan; Wei-Long Zheng; Bao-Liang Lu (IEEE Trans. Cogn. Dev. Syst., 2021)

Dynamic Quaternion Extreme Learning Machine. - Hao Chen; Tianlei Wang; Jiuwen Cao; Pierre-Paul Vidal; Yimin Yang 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

A Width-Growth Model With Subnetwork Nodes and Refinement Structure for Representation Learning and Image Classification. - Wandong Zhang; Q. M. Jonathan Wu; Yimin Yang 001; Thangarajah Akilan; Hui Zhang 023 (IEEE Trans. Ind. Informatics, 2021)

MAMA Net: Multi-Scale Attention Memory Autoencoder Network for Anomaly Detection. - Yurong Chen 003; Hui Zhang 023; Yaonan Wang 001; Yimin Yang 001; Xianen Zhou; Q. M. Jonathan Wu (IEEE Trans. Medical Imaging, 2021)

Multimodel Feature Reinforcement Framework Using Moore-Penrose Inverse for Big Data Analysis. - Wandong Zhang; Q. M. Jonathan Wu; Yimin Yang 001; Thangarajah Akilan (IEEE Trans. Neural Networks Learn. Syst., 2021)

To Mask or Not To Mask? A Machine Learning Approach to Covid News Coverage Attitude Prediction Based on Time Series and Text Content. - Jingtian Zhao; Will Zhao; Yimin Yang 001; Amin Safaei 001; Ruizhong Wei (CSE, 2022)

Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training. - Xiao Lu 002; Yihong Cao; Sheng Liu; Chengjiang Long; Zipei Chen; Xuanyu Zhou; Yimin Yang 001; Chunxia Xiao (CVPR, 2022)

A Lightweight Self-Supervised Training Framework for Monocular Depth Estimation. - Tim Heydrich; Yimin Yang 001; Shan Du (ICASSP, 2022)

A Novel Lightweight Network for Fast Monocular Depth Estimation. - Tim Heydrich; Yimin Yang 001; Xiangyu Ma; Yu Liu; Shan Du (ICASSP, 2022)

Analysis of Autoencoders with Vapnik-Chervonenkis Dimension. - Weiting Liu; Yimin Yang 001 (NCAA (1), 2022)

Fast Ship Detection With Spatial-Frequency Analysis and ANOVA-Based Feature Fusion. - Wandong Zhang; Q. M. Jonathan Wu; Yimin Yang 001; Thangarajah Akilan; W. G. Will Zhao; Qingzhong Li; Jiong Niu (IEEE Geosci. Remote. Sens. Lett., 2022)

Special issue on neural computing and applications 2021. - Kai Liu; Jingjing Cao; Yimin Yang 001; Wun-She Yap; Rui Tan; Zenghui Wang 001 (Neural Comput. Appl., 2022)

Multimodal Vigilance Estimation Using Deep Learning. - Wei Wu; Wei Sun 028; Q. M. Jonathan Wu; Yimin Yang 001; Hui Zhang 023; Wei-Long Zheng; Bao-Liang Lu (IEEE Trans. Cybern., 2022)

HKPM: A Hierarchical Key-Area Perception Model for HFSWR Maritime Surveillance. - Wandong Zhang; Q. M. Jonathan Wu; Yimin Yang 001; Thangarajah Akilan; Ming Li 057 (IEEE Trans. Geosci. Remote. Sens., 2022)

TAE-Seg: Generalized Lung Segmentation via Tilewise AutoEncoder Enhanced Network. - Yurong Chen 003; Hui Zhang 023; Yaonan Wang 001; Lizhu Liu; Q. M. Jonathan Wu; Yimin Yang 001 (IEEE Trans. Instrum. Meas., 2022)

Spatio-Temporal Feature Encoding for Traffic Accident Detection in VANET Environment. - Zhili Zhou 001; Xiaohua Dong; Zhetao Li; Keping Yu; Chun Ding; Yimin Yang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Guest Editorial: machine learning for visual information processing & understanding. - Huanqiang Zeng; Jiuwen Cao; Yimin Yang 001; Junhui Hou (J. Ambient Intell. Humaniz. Comput., 2023)

A Two-Stage Hierarchical One-Class Classification Structure for HFSWR Ship-Target Detection. - Wandong Zhang; Yimin Yang 001; Tianlong Liu; Q. M. Jonathan Wu (IEEE Trans. Geosci. Remote. Sens., 2023)

4-bit CNN Quantization Method With Compact LUT-Based Multiplier Implementation on FPGA. - Bingrui Zhao; Yaonan Wang 001; Hui Zhang 023; Jinzhou Zhang; Yurong Chen 003; Yimin Yang 001 (IEEE Trans. Instrum. Meas., 2023)

Sequential Order-Aware Coding-Based Robust Subspace Clustering for Human Action Recognition in Untrimmed Videos. - Zhili Zhou 001; Chun Ding; Jin Li 002; Eman Mohammadi; Guangcan Liu; Yimin Yang 001; Q. M. Jonathan Wu (IEEE Trans. Image Process., 2023)

D-BIN: A Generalized Disentangling Batch Instance Normalization for Domain Adaptation. - Yurong Chen 003; Hui Zhang 023; Yaonan Wang 001; Weixing Peng; Wangdong Zhang; Q. M. Jonathan Wu; Yimin Yang 001 (IEEE Trans. Cybern., 2023)

Hierarchical One-Class Model With Subnetwork for Representation Learning and Outlier Detection. - Wandong Zhang; Q. M. Jonathan Wu; W. G. Will Zhao; Haojin Deng; Yimin Yang 001 (IEEE Trans. Cybern., 2023)

Semisupervised Manifold Regularization via a Subnetwork-Based Representation Learning Model. - Wandong Zhang; Q. M. Jonathan Wu; Yimin Yang 001 (IEEE Trans. Cybern., 2023)

Enhancing Residential Real Estate Search with Classification Strategies Using Diffusion and CLIP. - Haojin Deng; Wandong Zhang; Yimin Yang 001; Eman Nejad (ICCE, 2024)

Flex-DLD: Deep Low-Rank Decomposition Model With Flexible Priors for Hyperspectral Image Denoising and Restoration. - Yurong Chen 003; Hui Zhang 023; Yaonan Wang 001; Yimin Yang 001; Q. M. Jonathan Wu (IEEE Trans. Image Process., 2024)

Coarse-to-Fine Target Detection for HFSWR With Spatial-Frequency Analysis and Subnet Structure. - Wandong Zhang; Yimin Yang 001; Tianlong Liu (IEEE Trans. Multim., 2024)

Progressive Learning Model for Big Data Analysis Using Subnetwork and Moore-Penrose Inverse. - Wandong Zhang; Yimin Yang 001; Zeng Li; Q. M. Jonathan Wu (IEEE Trans. Multim., 2024)

Guest Editorial of the Special Section on Generative Artificial Intelligence With Applications on Consumer Electronics. - Mingbo Zhao; Weizhi Meng 001; Bingyi Liu; Yimin Yang 001 (IEEE Trans. Consumer Electron., 2024)

CLRNet: A Cross Locality Relation Network for Crowd Counting in Videos. - Li Dong 011; Haijun Zhang 002; Jianghong Ma; Xiaofei Xu; Yimin Yang 001; Q. M. Jonathan Wu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multimodal Moore-Penrose Inverse-Based Recomputation Framework for Big Data Analysis. - Wandong Zhang; Yimin Yang 001; Q. M. Jonathan Wu; Tianlei Wang; Hui Zhang 023 (IEEE Trans. Neural Networks Learn. Syst., 2024)

RTRGAN: Ridge Texture Rendering-Based Generative Adversarial Fingerprint Attack for Portable Consumer Electronics Devices. - Chengsheng Yuan 001; Baojie Cui; Zhili Zhou 001; Yuming Liu; Yimin Yang 001; Q. M. Jonathan Wu (IEEE Trans. Consumer Electron., 2024)

Low-Light Salient Object Detection by Learning to Highlight the Foreground Objects. - Xiao Lu 002; Yulin Yuan; Xing Liu; Lucai Wang; Xuanyu Zhou; Yimin Yang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Minimizing EEG Human Interference: A Study of an Adaptive EEG Spatial Feature Extraction With Deep Convolutional Neural Networks. - Haojin Deng; Shiqi Wang 030; Yimin Yang 001; W. G. Will Zhao; Hui Zhang 023; Ruizhong Wei; Q. M. Jonathan Wu; Bao-Liang Lu (IEEE Trans. Cogn. Dev. Syst., 2024)

Deep Optimized Broad Learning System for Applications in Tabular Data Recognition. - Wandong Zhang; Yimin Yang 001; Q. M. Jonathan Wu; Tianlong Liu (IEEE Trans. Cybern., 2024)

Multi-Distribution Mammogram Classification: Leveraging Clip for Enhanced Generalization Across Diverse Datasets. - Zhichen Yan; Wandong Zhang; Yimin Yang 001; Ashirbani Saha (ISBI, 2025)

An analytic formulation of convolutional neural network learning for pattern recognition. - Huiping Zhuang; Zhiping Lin 001; Yimin Yang 001; Kar-Ann Toh (Inf. Sci., 2025)

Context-Enriched Contrastive Loss: Enhancing Presentation of Inherent Sample Connections in Contrastive Learning Framework. - Haojin Deng; Yimin Yang 001 (IEEE Trans. Multim., 2025)

Fast Transfer Learning Method Using Random Layer Freezing and Feature Refinement Strategy. - Wandong Zhang; Yimin Yang 001; Thangarajah Akilan; Q. M. Jonathan Wu; Tianlong Liu (IEEE Trans. Cybern., 2025)

Diffusion-based data augmentation and hierarchical CLIP for real estate image annotation. - Haojin Deng; Wandong Zhang; Yimin Yang 001; Eman Nejad (Pattern Anal. Appl., 2025)