Yimin Yang

According to our database, Yimin Yang authored at least 88 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Fast Transfer Learning Method Using Random Layer Freezing and Feature Refinement Strategy.

Wandong Zhang, Yimin Yang, Thangarajah Akilan, Q. M. Jonathan Wu, Tianlong Liu

IEEE Trans. Cybern., January, 2025

Context-Enriched Contrastive Loss: Enhancing Presentation of Inherent Sample Connections in Contrastive Learning Framework.

Haojin Deng, Yimin Yang

IEEE Trans. Multim., 2025

An analytic formulation of convolutional neural network learning for pattern recognition.

Huiping Zhuang, Zhiping Lin, Yimin Yang, Kar-Ann Toh

Inf. Sci., 2025

2024

Deep Optimized Broad Learning System for Applications in Tabular Data Recognition.

Wandong Zhang, Yimin Yang, Q. M. Jonathan Wu, Tianlong Liu

IEEE Trans. Cybern., December, 2024

Minimizing EEG Human Interference: A Study of an Adaptive EEG Spatial Feature Extraction With Deep Convolutional Neural Networks.

Haojin Deng, Shiqi Wang, Yimin Yang, W. G. Will Zhao, Hui Zhang, Ruizhong Wei, Q. M. Jonathan Wu, Bao-Liang Lu

IEEE Trans. Cogn. Dev. Syst., December, 2024

Low-Light Salient Object Detection by Learning to Highlight the Foreground Objects.

Xiao Lu, Yulin Yuan, Xing Liu, Lucai Wang, Xuanyu Zhou, Yimin Yang

IEEE Trans. Circuits Syst. Video Technol., August, 2024

RTRGAN: Ridge Texture Rendering-Based Generative Adversarial Fingerprint Attack for Portable Consumer Electronics Devices.

Chengsheng Yuan, Baojie Cui, Zhili Zhou, Yuming Liu, Yimin Yang, Q. M. Jonathan Wu

IEEE Trans. Consumer Electron., August, 2024

Multimodal Moore-Penrose Inverse-Based Recomputation Framework for Big Data Analysis.

Wandong Zhang, Yimin Yang, Q. M. Jonathan Wu, Tianlei Wang, Hui Zhang

IEEE Trans. Neural Networks Learn. Syst., May, 2024

CLRNet: A Cross Locality Relation Network for Crowd Counting in Videos.

Li Dong, Haijun Zhang, Jianghong Ma, Xiaofei Xu, Yimin Yang, Q. M. Jonathan Wu

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Guest Editorial of the Special Section on Generative Artificial Intelligence With Applications on Consumer Electronics.

Mingbo Zhao, Weizhi Meng, Bingyi Liu, Yimin Yang

IEEE Trans. Consumer Electron., May, 2024

Progressive Learning Model for Big Data Analysis Using Subnetwork and Moore-Penrose Inverse.

Wandong Zhang, Yimin Yang, Zeng Li, Q. M. Jonathan Wu

IEEE Trans. Multim., 2024

Coarse-to-Fine Target Detection for HFSWR With Spatial-Frequency Analysis and Subnet Structure.

Wandong Zhang, Yimin Yang, Tianlong Liu

IEEE Trans. Multim., 2024

Flex-DLD: Deep Low-Rank Decomposition Model With Flexible Priors for Hyperspectral Image Denoising and Restoration.

Yurong Chen, Hui Zhang, Yaonan Wang, Yimin Yang, Q. M. Jonathan Wu

IEEE Trans. Image Process., 2024

2023

Semisupervised Manifold Regularization via a Subnetwork-Based Representation Learning Model.

Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang

IEEE Trans. Cybern., November, 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

IEEE Trans. Cybern., October, 2023

D-BIN: A Generalized Disentangling Batch Instance Normalization for Domain Adaptation.

Yurong Chen, Hui Zhang, Yaonan Wang, Weixing Peng, Wangdong Zhang, Q. M. Jonathan Wu, Yimin Yang

IEEE Trans. Cybern., April, 2023

Sequential Order-Aware Coding-Based Robust Subspace Clustering for Human Action Recognition in Untrimmed Videos.

Zhili Zhou, Chun Ding, Jin Li, Eman Mohammadi, Guangcan Liu, Yimin Yang, Q. M. Jonathan Wu

IEEE Trans. Image Process., 2023

4-bit CNN Quantization Method With Compact LUT-Based Multiplier Implementation on FPGA.

Bingrui Zhao, Yaonan Wang, Hui Zhang, Jinzhou Zhang, Yurong Chen, Yimin Yang

IEEE Trans. Instrum. Meas., 2023

A Two-Stage Hierarchical One-Class Classification Structure for HFSWR Ship-Target Detection.

Wandong Zhang, Yimin Yang, Tianlong Liu, Q. M. Jonathan Wu

IEEE Trans. Geosci. Remote. Sens., 2023

Guest Editorial: machine learning for visual information processing & understanding.

Huanqiang Zeng, Jiuwen Cao, Yimin Yang, Junhui Hou

J. Ambient Intell. Humaniz. Comput., 2023

2022

Spatio-Temporal Feature Encoding for Traffic Accident Detection in VANET Environment.

Zhili Zhou, Xiaohua Dong, Zhetao Li, Keping Yu, Chun Ding, Yimin Yang

IEEE Trans. Intell. Transp. Syst., 2022

TAE-Seg: Generalized Lung Segmentation via Tilewise AutoEncoder Enhanced Network.

Yurong Chen, Hui Zhang, Yaonan Wang, Lizhu Liu, Q. M. Jonathan Wu, Yimin Yang

IEEE Trans. Instrum. Meas., 2022

HKPM: A Hierarchical Key-Area Perception Model for HFSWR Maritime Surveillance.

Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, Ming Li

IEEE Trans. Geosci. Remote. Sens., 2022

Multimodal Vigilance Estimation Using Deep Learning.

Wei Wu, Wei Sun, Q. M. Jonathan Wu, Yimin Yang, Hui Zhang, Wei-Long Zheng, Bao-Liang Lu

IEEE Trans. Cybern., 2022

Special issue on neural computing and applications 2021.

Kai Liu, Jingjing Cao, Yimin Yang, Wun-She Yap, Rui Tan, Zenghui Wang

Neural Comput. Appl., 2022

Fast Ship Detection With Spatial-Frequency Analysis and ANOVA-Based Feature Fusion.

Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, W. G. Will Zhao, Qingzhong Li, Jiong Niu

IEEE Geosci. Remote. Sens. Lett., 2022

Analysis of Autoencoders with Vapnik-Chervonenkis Dimension.

Weiting Liu, Yimin Yang

Proceedings of the Neural Computing for Advanced Applications, 2022

A Novel Lightweight Network for Fast Monocular Depth Estimation.

Tim Heydrich, Yimin Yang, Xiangyu Ma, Yu Liu, Shan Du

Proceedings of the IEEE International Conference on Acoustics, 2022

A Lightweight Self-Supervised Training Framework for Monocular Depth Estimation.

Tim Heydrich, Yimin Yang, Shan Du

Proceedings of the IEEE International Conference on Acoustics, 2022

Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training.

Xiao Lu, Yihong Cao, Sheng Liu, Chengjiang Long, Zipei Chen, Xuanyu Zhou, Yimin Yang, Chunxia Xiao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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, Amin Safaei, Ruizhong Wei

Proceedings of the 25th IEEE International Conference on Computational Science and Engineering, 2022

2021

Multimodel Feature Reinforcement Framework Using Moore-Penrose Inverse for Big Data Analysis.

Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan

IEEE Trans. Neural Networks Learn. Syst., 2021

MAMA Net: Multi-Scale Attention Memory Autoencoder Network for Anomaly Detection.

Yurong Chen, Hui Zhang, Yaonan Wang, Yimin Yang, Xianen Zhou, Q. M. Jonathan Wu

IEEE Trans. Medical Imaging, 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, Thangarajah Akilan, Hui Zhang

IEEE Trans. Ind. Informatics, 2021

Dynamic Quaternion Extreme Learning Machine.

Hao Chen, Tianlei Wang, Jiuwen Cao, Pierre-Paul Vidal, Yimin Yang

IEEE Trans. Circuits Syst. II Express Briefs, 2021

A Regression Method With Subnetwork Neurons for Vigilance Estimation Using EOG and EEG.

Wei Wu, Q. M. Jonathan Wu, Wei Sun, Yimin Yang, Xiaofang Yuan, Wei-Long Zheng, Bao-Liang Lu

IEEE Trans. Cogn. Dev. Syst., 2021

Faster Single Model Vigilance Detection Based on Deep Learning.

Wei Wu, Wei Sun, Q. M. Jonathan Wu, Cheng Zhang, Yimin Yang, Hongshan Yu, Bao-Liang Lu

IEEE Trans. Cogn. Dev. Syst., 2021

Non-iterative online sequential learning strategy for autoencoder and classifier.

Adhri Nandini Paul, Peizhi Yan, Yimin Yang, Hui Zhang, Shan Du, Q. M. Jonathan Wu

Neural Comput. Appl., 2021

Real-time stage-wise object tracking in traffic scenes: an online tracker selection method via deep reinforcement learning.

Xiao Lu, Yihong Cao, Sheng Liu, Xuanyu Zhou, Yimin Yang

Neural Comput. Appl., 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, Kunjie Yu

Inf. Sci., 2021

A compensation-based optimization strategy for top dense layer training.

Xiexing Feng, Q. M. Jonathan Wu, Yimin Yang, Libo Cao

Neurocomputing, 2021

Deconvolution-and-convolution Networks.

Yimin Yang, Wandong Zhang, Q. M. Jonathan Wu, W. G. Will Zhao, Ao Chen

CoRR, 2021

Multi-Model Least Squares-Based Recomputation Framework for Large Data Analysis.

Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, W. G. Will Zhao, Hui Zhang

CoRR, 2021

End-to-End Generative Adversarial Face Hallucination Through Residual In Internal Dense Network.

Xiang Wang, Yimin Yang, Qixiang Pang, Qiang Tang, Shan Du

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Region-Level Visual Consistency Verification for Large-Scale Partial-Duplicate Image Search.

Zhili Zhou, Q. M. Jonathan Wu, Yimin Yang, Xingming Sun

ACM Trans. Multim. Comput. Commun. Appl., 2020

A 3D CNN-LSTM-Based Image-to-Image Foreground Segmentation.

Thangarajah Akilan, Qingming Jonathan Wu, Amin Safaei, Jie Huo, Yimin Yang

IEEE Trans. Intell. Transp. Syst., 2020

Deep Multimodel Cascade Method Based on CNN and Random Forest for Pharmaceutical Particle Detection.

Hui Zhang, Miao Zhao, Li Liu, Hang Zhong, Zhicong Liang, Yimin Yang, Xianen Zhou, Q. M. Jonathan Wu, Yaonan Wang

IEEE Trans. Instrum. Meas., 2020

DM-RIS: Deep Multimodel Rail Inspection System With Improved MRF-GMM and CNN.

Xiating Jin, Yaonan Wang, Hui Zhang, Hang Zhong, Li Liu, Q. M. Jonathan Wu, Yimin Yang

IEEE Trans. Instrum. Meas., 2020

Recomputation of the Dense Layers for Performance Improvement of DCNN.

Yimin Yang, Q. M. Jonathan Wu, Xiexing Feng, Thangarajah Akilan

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Real-time image carrier generation based on generative adversarial network and fast object detection.

Chuanlong Li, Xingming Sun, Zhili Zhou, Yimin Yang

J. Real Time Image Process., 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

Neurocomputing, 2020

An Autuencoder-based Data Augmentation Strategy for Generalization Improvement of DCNNs.

Xiexing Feng, Q. M. Jonathan Wu, Yimin Yang, Libo Cao

Neurocomputing, 2020

Deep Networks with Fast Retraining.

Wandong Zhang, Yimin Yang, Q. M. Jonathan Wu

CoRR, 2020

2019

Features Combined From Hundreds of Midlayers: Hierarchical Networks With Subnetwork Nodes.

Yimin Yang, Q. M. Jonathan Wu

IEEE Trans. Neural Networks Learn. Syst., 2019

System-on-a-Chip (SoC)-Based Hardware Acceleration for an Online Sequential Extreme Learning Machine (OS-ELM).

Amin Safaei, Q. M. Jonathan Wu, Akilan Thangarajah, Yimin Yang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Hierarchical feature representation for unconstrained video analysis.

Eman Mohammadi, Q. M. Jonathan Wu, Mehrdad Saif, Yimin Yang

Neurocomputing, 2019

Polynomial-Based Google Map Graphical Password System against Shoulder-Surfing Attacks in Cloud Environment.

Zhili Zhou, Ching-Nung Yang, Yimin Yang, Xingming Sun

Complex., 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, Ming Li

Cogn. Comput., 2019

Automatic Kidney Lesion Detection for CT Images Using Morphological Cascade Convolutional Neural Networks.

Hui Zhang, Yurong Chen, Yanan Song, Zhenlin Xiong, Yimin Yang, Q. M. Jonathan Wu

IEEE Access, 2019

2018

Autoencoder With Invertible Functions for Dimension Reduction and Image Reconstruction.

Yimin Yang, Q. M. Jonathan Wu, Yaonan Wang

IEEE Trans. Syst. Man Cybern. Syst., 2018

Automated Machine Vision System for Liquid Particle Inspection of Pharmaceutical Injection.

Hui Zhang, Xuanlun Li, Hang Zhong, Yimin Yang, Q. M. Jonathan Wu, Ji Ge, Yaonan Wang

IEEE Trans. Instrum. Meas., 2018

Automatic Visual Detection System of Railway Surface Defects With Curvature Filter and Improved Gaussian Mixture Model.

Hui Zhang, Xiating Jin, Q. M. Jonathan Wu, Yaonan Wang, Zhendong He, Yimin Yang

IEEE Trans. Instrum. Meas., 2018

EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes.

Yimin Yang, Q. M. Jonathan Wu, Wei-Long Zheng, Bao-Liang Lu

IEEE Trans. Cogn. Dev. Syst., 2018

System-on-a-chip (SoC)-based hardware acceleration for foreground and background identification.

Amin Safaei, Q. M. Jonathan Wu, Yimin Yang

J. Frankl. Inst., 2018

Fusion-based foreground enhancement for background subtraction using multivariate multi-model Gaussian distribution.

Akilan Thangarajah, Q. M. Jonathan Wu, Yimin Yang

Inf. Sci., 2018

Non-iterative recomputation of dense layers for performance improvement of DCNN.

Yimin Yang, Q. M. Jonathan Wu, Xiexing Feng, Akilan Thangarajah

CoRR, 2018

2017

Effect of wavelet and hybrid classification on action recognition.

Eman Mohammadi, Q. M. Jonathan Wu, Yimin Yang, Mehrdad Saif

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

System-on-a-chip (SoC)-based hardware acceleration for extreme learning machine.

Amin Safaei, Q. M. Jonathan Wu, Yimin Yang, Akilan Thangarajah

Proceedings of the 24th IEEE International Conference on Electronics, Circuits and Systems, 2017

Fusion of transfer learning features and its application in image classification.

Akilan Thangarajah, Q. M. Jonathan Wu, Yimin Yang, Amin Safaei

Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2016

Extreme Learning Machine With Subnetwork Hidden Nodes for Regression and Classification.

Yimin Yang, Q. M. Jonathan Wu

IEEE Trans. Cybern., 2016

Multilayer Extreme Learning Machine With Subnetwork Nodes for Representation Learning.

Yimin Yang, Q. M. Jonathan Wu

IEEE Trans. Cybern., 2016

Learning Time-optimal Anti-swing Trajectories for Overhead Crane Systems.

Xuebo Zhang, Ruijie Xue, Yimin Yang, Long Cheng, Yongchun Fang

Proceedings of the Advances in Neural Networks - ISNN 2016, 2016

2015

Progressive Learning Machine: A New Approach for General Hybrid System Approximation.

Yimin Yang, Yaonan Wang, Q. M. Jonathan Wu, Xiaofeng Lin, Min Liu

IEEE Trans. Neural Networks Learn. Syst., 2015

A Method to Calibrate Vehicle-Mounted Cameras Under Urban Traffic Scenes.

Yaonan Wang, Xiao Lu, Zhigang Ling, Yimin Yang, Zhenjun Zhang, Kena Wang

IEEE Trans. Intell. Transp. Syst., 2015

Data Partition Learning With Multiple Extreme Learning Machines.

Yimin Yang, Q. M. Jonathan Wu, Yaonan Wang, K. M. Zeeshan, Xiaofeng Lin, Xiaofang Yuan

IEEE Trans. Cybern., 2015

Predictive Control Strategy Based on Extreme Learning Machine for Path-Tracking of Autonomous Mobile Robot.

Yimin Yang, Xiaofeng Lin, Zhiqiang Miao, Xiaofang Yuan, Yaonan Wang

Intell. Autom. Soft Comput., 2015

2014

Robust tracking control of uncertain dynamic nonholonomic systems using recurrent neural networks.

Zhiqiang Miao, Yaonan Wang, Yimin Yang

Neurocomputing, 2014

Pulling back error to the hidden-node parameter technology: Single-hidden-layer feedforward network without output weight.

Yimin Yang, Q. M. Jonathan Wu, Guangbin Huang, Yaonan Wang

CoRR, 2014

Hybrid parallel chaos optimization algorithm with harmony search algorithm.

Xiaofang Yuan, Jingyi Zhao, Yimin Yang, Yaonan Wang

Appl. Soft Comput., 2014

2013

Parallel Chaos Search Based Incremental Extreme Learning Machine.

Yimin Yang, Yaonan Wang, Xiaofang Yuan

Neural Process. Lett., 2013

Genetic algorithm-based adaptive fuzzy sliding mode controller for electronic throttle valve.

Xiaofang Yuan, Yimin Yang, Hui Wang, Yaonan Wang

Neural Comput. Appl., 2013

Neural network-based self-learning control for power transmission line deicing robot.

Yimin Yang, Yaonan Wang, Xiaofang Yuan, Youhui Chen, Lei Tan

Neural Comput. Appl., 2013

Harmony search algorithm-based fuzzy-PID controller for electronic throttle valve.

Hui Wang, Xiaofang Yuan, Yaonan Wang, Yimin Yang

Neural Comput. Appl., 2013

2012

Bidirectional Extreme Learning Machine for Regression Problem and Its Learning Effectiveness.

Yimin Yang, Yaonan Wang, Xiaofang Yuan

IEEE Trans. Neural Networks Learn. Syst., 2012

Inverse Kinematics Solution for Robot Manipulator based on Neural Network under Joint Subspace.

Feng Yin, Yaonan Wang, Yi-min Yang

Int. J. Comput. Commun. Control, 2012

Improved parallel chaos optimization algorithm.

Xiaofang Yuan, Yimin Yang, Hui Wang

Appl. Math. Comput., 2012

Hybrid chaos optimization algorithm with artificial emotion.

Yimin Yang, Yaonan Wang, Xiaofang Yuan, Feng Yin

Appl. Math. Comput., 2012

2009

Optimal Design of Grounding Grids Based on Genetic Algorithm.

Yi-min Yang, Min-fang Peng, Hai-tao Hong, Yue-hua Yuan

Proceedings of the 2009 Third International Conference on Genetic and Evolutionary Computing, 2009