Qingxiang Wu

According to our database, Qingxiang Wu authored at least 79 papers between 2001 and 2024.

Collaborative distances:

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

2024

Deep Reinforcement Learning-Based Control for Asynchronous Motor-Actuated Triple Pendulum Crane Systems With Distributed Mass Payloads.

Qingxiang Wu, Ning Sun, Tong Yang, Yongchun Fang

IEEE Trans. Ind. Electron., February, 2024

GMHANN: A Novel Traffic Flow Prediction Method for Transportation Management Based on Spatial-Temporal Graph Modeling.

Qing Wang, Weiping Liu, Xiumei Wang, Xinghong Chen, Guannan Chen, Qingxiang Wu

IEEE Trans. Intell. Transp. Syst., January, 2024

Dynamic Modeling for 3-Dimensional Cooperative Dual Boom Cranes: Analysis and Verification.

Zhuoqing Liu, Tong Yang, Qingxiang Wu, Yinan Wu, He Chen, Ning Sun

Proceedings of the 18th IEEE International Conference on Advanced Motion Control, 2024

2023

A Spatial-Temporal Graph Model for Pronunciation Feature Prediction of Chinese Poetry.

Qing Wang, Weiping Liu, Xiumei Wang, Xinghong Chen, Guannan Chen, Qingxiang Wu

IEEE Trans. Neural Networks Learn. Syst., December, 2023

HarDNet-CPS: Colorectal polyp segmentation based on Harmonic Densely United Network.

Tong Yu, Qingxiang Wu

Biomed. Signal Process. Control., August, 2023

2022

A single and double closed-loop compound anti-sway control method for double-pendulum bridge cranes locating at random position.

Minghui Xia, Xiaokai Wang, Qingxiang Wu, Lin Hua

Trans. Inst. Meas. Control, 2022

Adaptive Control of Global Trajectory Tracking for a Tractor-Trailer System with Wheeltrack Uncertainties.

Yuanhao Su, Qingxiang Wu, Ning Sun, Chunhui He, Haosheng Sun

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Extended-State-Observer-Based Sliding Mode Control for a Compliant Grinding Device With Unknown Backlash-Like Hysteresis.

Haoqi Tang, Zhuoqing Liu, Qingxiang Wu, Lei Sun, Ning Sun

Proceedings of the IECON 2022, 2022

2019

Single-Scale Workpiece Defect Detection Based on Deep Learning.

Ming Han, Qingxiang Wu, Xiongjun Zeng

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018

Deep unsupervised learning for image super-resolution with generative adversarial network.

Guimin Lin, Qingxiang Wu, Liang Chen, Lida Qiu, Xuan Wang, Tianjian Liu, Xiyao Chen

Signal Process. Image Commun., 2018

Image super-resolution using a dilated convolutional neural network.

Guimin Lin, Qingxiang Wu, Lida Qiu, Xixian Huang

Neurocomputing, 2018

Multi-View Face Recognition and Verification Based on Convolutional Neural Network.

Xiongjun Zeng, Qingxiang Wu, Ming Han, Xi Huang

Proceedings of the 11th International Congress on Image and Signal Processing, 2018

2017

A spiking neural network for extraction of features in colour opponent visual pathways and FPGA implementation.

Qiyan Sun, Qingxiang Wu, Xuan Wang, Lei Hou

Neurocomputing, 2017

Deep Convolutional Networks-Based Image Super-Resolution.

Guimin Lin, Qingxiang Wu, Xixian Huang, Lida Qiu, Xiyao Chen

Proceedings of the Intelligent Computing Theories and Application, 2017

Fusion of features from multiple visual pathways for on-line classification of tiles.

Yanan Zhang, Qingxiang Wu, Yao Xiao, Caiyun Wu, Pengfei Li, Caiyou Yuan

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Expression recognition algorithm based on the relative relationship of the facial landmarks.

Caiyou Yuan, Qingxiang Wu, Caiyun Wu, Pengfei Li, Yanan Zhang, Yao Xiao

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Multimeter digital recognition based on feature coding detection.

Caiyun Wu, Qingxiang Wu, Caiyou Yuan, Pengfei Li, Yanan Zhang, Yao Xiao

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

An efficient algorithm for recognition of pointer scale value on dashboard.

Pengfei Li, Qingxiang Wu, Yao Xiao, Yanan Zhang

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

A denosing method of frequency spectrum for recognition of dashboard sounds.

Pengfei Li, Qingxiang Wu, Caiyun Wu, Caiyou Yuan

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Scratch detection of round buttons based on machine vision.

Lingfeng Kong, Qingxiang Wu, Kai Lin, Baolin Chen

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016

Pedestrian identification based on fusion of multiple features and multiple classifiers.

Xuan Wang, Qingxiang Wu, Xiaojin Lin, Zhiqiang Zhuo, Liuping Huang

Neurocomputing, 2016

People recognition in multi-cameras using the visual color processing mechanism.

Xiaojin Lin, Qingxiang Wu, Xuan Wang, Zhiqiang Zhuo, Gongrong Zhang

Neurocomputing, 2016

Fruit recognition based on convolution neural network.

Lei Hou, Qingxiang Wu, Qiyan Sun, Heng Yang, Pengfei Li

Proceedings of the 12th International Conference on Natural Computation, 2016

A 3D passive optical localization system based on binocular infrared cameras.

Yadan Zeng, Houde Dai, Minghu Zheng, Shijian Su, Zhouxin Wu, Xuke Xia, Zhirong Lin, Qingxiang Wu

Proceedings of the IEEE International Conference on Information and Automation, 2016

Recognition algorithm for huge number of very similar objects.

Lingfeng Kong, Qingxiang Wu

Proceedings of the 9th International Congress on Image and Signal Processing, 2016

2015

Wavelet transform and texture recognition based on spiking neural network for visual images.

Zhenmin Zhang, Qingxiang Wu, Zhiqiang Zhuo, Xiaowei Wang, Liuping Huang

Neurocomputing, 2015

Training spiking neural networks with the improved grey-level co-occurrence matrix algorithm for texture analysis.

Zhenmin Zhang, Qingxiang Wu, Xuan Wang, Qiyan Sun

Proceedings of the 11th International Conference on Natural Computation, 2015

Human action recognition based on variation energy images features.

Haihui Xie, Qingxiang Wu

Proceedings of the 11th International Conference on Natural Computation, 2015

Moving vehicle detection based on optical flow estimation of edge.

Yanfeng Chen, Qingxiang Wu

Proceedings of the 11th International Conference on Natural Computation, 2015

A Spiking Neural Network for Extraction of Multi-features in Visual Processing Pathways.

Qiyan Sun, Qingxiang Wu, Xuan Wang, Lei Hou

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

License Plate Extraction Using Spiking Neural Networks.

Qian Du, LiJuan Chen, Rongtai Cai, Peng Zhu, TianShui Wu, Qingxiang Wu

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Moving Vehicle Detection Based on Visual Processing Mechanism with Multiple Pathways.

Yanfeng Chen, Qingxiang Wu, Haihui Xie, SanLiang Hong, Xue Li

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

2014

Finding Specific Person Using Spiking Neural Network Based on Texture Features.

Xuan Wang, Qingxiang Wu, Xiaojin Lin, Zhiqiang Zhuo

Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014

Moving People Recognition Algorithm Based on the Visual Color Processing Mechanism.

Xiaojin Lin, Qingxiang Wu, Xuan Wang, Zhiqiang Zhuo, Gongrong Zhang

Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014

2013

A visual attention model based on hierarchical spiking neural networks.

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Rongtai Cai, Meigui Chen

Neurocomputing, 2013

GPU Implementation of Spiking Neural Networks for Edge Detection.

Zhiqiang Zhuo, Qingxiang Wu, Zhenmin Zhang, Gongrong Zhang, Liuping Huang

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

Fast Wavelet Transform Based on Spiking Neural Network for Visual Images.

Zhenmin Zhang, Qingxiang Wu, Zhiqiang Zhuo, Xiaowei Wang, Liuping Huang

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

A Large-scale Images Processing Model Based on Hadoop Platform.

Gongrong Zhang, Qingxiang Wu, Zhiqiang Zhuo, Xiaowei Wang, Xiaojin Lin

Proceedings of the 2013 The Second International Conference on Innovative Computing and Cloud Computing, 2013

2012

A novel approach to robot vision using a hexagonal grid and spiking neural networks.

Dermot Kerr, Sonya A. Coleman, Thomas Martin McGinnity, Qingxiang Wu, Marine Clogenson

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Competitive behaviors of a spiking neural network with spike timing dependent plasticity.

Chengmei Ruan, Qingxiang Wu, Lijuan Fan, Zhiqiang Zhuo, Xiaowei Wang

Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012

2011

Biologically inspired edge detection.

Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Qingxiang Wu, Marine Clogenson

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Moving Target Detection and Classification Using Spiking Neural Networks.

Rongtai Cai, Qingxiang Wu, Ping Wang, Honghai Sun, Zichen Wang

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011

Spiking Hierarchical Neural Network for Corner Detection.

Dermot Kerr, T. Martin McGinnity, Sonya A. Coleman, Qingxiang Wu, Marine Clogenson

Proceedings of the NCTA 2011, 2011

Biologically Inspired Edge Detection using Spiking Neural Networks and Hexagonal Images.

Marine Clogenson, Dermot Kerr, T. Martin McGinnity, Sonya A. Coleman, Qingxiang Wu

Proceedings of the NCTA 2011, 2011

Simulation of Visual Attention Using Hierarchical Spiking Neural Networks.

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Rongtai Cai, Meigui Chen

Proceedings of the Bio-Inspired Computing and Applications, 2011

Extraction of Breast Cancer Areas in Mammography Using a Neural Network Based on Multiple Features.

Meigui Chen, Qingxiang Wu, Rongtai Cai, Chengmei Ruan, Lijuan Fan

Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

2010

Performance Comparison of a Biologically Inspired Edge Detection Algorithm on CPU, GPU and FPGA.

Patrick Dempster, Thomas Martin McGinnity, Brendan P. Glackin, Qingxiang Wu

Proceedings of the ICFC-ICNC 2010, 2010

Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System.

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, German D. Valderrama-Gonzalez, Patrick Dempster

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

2009

Knowledge Discovery in Databases with Diversity of Data Types.

Qingxiang Wu, T. Martin McGinnity, Girijesh Prasad, David A. Bell

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Detection of Straight Lines Using a Spiking Neural Network Model.

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, German D. Valderrama-Gonzalez, Jianyong Cai

Proceedings of the Fifth International Conference on Natural Computation, 2009

Spiking Neural Network Performs Discrete Cosine Transform for Visual Images.

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Arfan Ghani, Joan Condell

Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

Review of Neuron Types in the Retina: Information Models for Neuroengineering.

German D. Valderrama-Gonzalez, T. Martin McGinnity, Liam P. Maguire, Qingxiang Wu

Proceedings of the Artificial Neural Networks, 2009

Emulating Spiking Neural Networks for edge detection on FPGA hardware.

Brendan P. Glackin, Jim Harkin, T. Martin McGinnity, Liam P. Maguire, Qingxiang Wu

Proceedings of the 19th International Conference on Field Programmable Logic and Applications, 2009

Segmentation of Leukocytes in Blood Smeare Images Using Color Processing Mechanism Inspired by the Visual System.

Qingxiang Wu, Xi Huang, Jianyong Cai, Yi Wu, Meiyan Lin

Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2008

2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism.

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin

Neural Networks, 2008

Processing visual stimuli using hierarchical spiking neural networks.

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin

Neurocomputing, 2008

Learning to select relevant perspective in a dynamic environment.

Zhihui Luo, David A. Bell, Barry McCollum, Qingxiang Wu

Proceedings of the International Joint Conference on Neural Networks, 2008

Motion Detection Using Spiking Neural Network Model.

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Jianyong Cai, German D. Valderrama-Gonzalez

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

Incremental Knowledge Base for Uncertain Reasoning.

Qingxiang Wu, Xi Huang, David A. Bell, Guilin Qi, Zhihui Luo

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007

Learning Mechanisms in Networks of Spiking Neurons.

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Brendan P. Glackin, Ammar Belatreche

Proceedings of the Trends in Neural Computation, 2007

A Distribution-Index-Based Discretizer for Decision-Making with Symbolic AI Approaches.

Qingxiang Wu, David A. Bell, Girijesh Prasad, T. Martin McGinnity

IEEE Trans. Knowl. Data Eng., 2007

Edge Detection Based on Spiking Neural Network Model.

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

Autonomous Robot Control Using Evidential Reasoning.

Qingxiang Wu, David A. Bell, Rashid Hafeez Khokhar, Guilin Qi, Zhihui Luo

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006

A Self-Organizing Computing Network for Decision-Making in Data Sets with a Diversity of Data Types.

Qingxiang Wu, T. Martin McGinnity, David A. Bell, Girijesh Prasad

IEEE Trans. Knowl. Data Eng., 2006

Learning under weight constraints in networks of temporal encoding spiking neurons.

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Brendan P. Glackin, Ammar Belatreche

Neurocomputing, 2006

Knowledge Representation and Learning Mechanism Based on Networks of Spiking Neurons.

Qingxiang Wu, David A. Bell, Guilin Qi, Jianyong Cai

Proceedings of the IEEE International Conference on Systems, 2006

A Novel Discretizer for Knowledge Discovery Approaches Based on Rough Sets.

Qingxiang Wu, Jianyong Cai, Girijesh Prasad, T. Martin McGinnity, David A. Bell, Jiwen Guan

Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Knowledge-Based Risk Assessment Under Uncertainty in Engineering Projects.

Rashid Hafeez Khokhar, David A. Bell, Jiwen Guan, Qingxiang Wu

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Improvement of Decision Accuracy Using Discretization of Continuous Attributes.

Qingxiang Wu, David A. Bell, T. Martin McGinnity, Girijesh Prasad, Guilin Qi, Xi Huang

Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

Risk Assessment of E-Commerce Projects Using Evidential Reasoning.

Rashid Hafeez Khokhar, David A. Bell, Jiwen Guan, Qingxiang Wu

Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

Multi-knowledge Approach for Mobile Robot Identification of a Changing Environment.

Qingxiang Wu, T. Martin McGinnity, Girijesh Prasad, David A. Bell, Brendan P. Glackin

Proceedings of the First European Robotics Symposium 2006, 2006

2005

Decision Making Based on Hybrid of Multi-Knowledge and Naïve Bayes Classifier.

Qingxiang Wu, David A. Bell, T. Martin McGinnity, Gongde Guo

Proceedings of the Foundations of Data Mining and knowledge Discovery, 2005

Multiknowledge for decision making.

Qingxiang Wu, David A. Bell, T. Martin McGinnity

Knowl. Inf. Syst., 2005

Evolving learning mechanism for a general computing network model.

Qingxiang Wu, T. Martin McGinnity, Girijesh Prasad, David A. Bell

Proceedings of the IEEE International Conference on Systems, 2005

A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware.

Brendan P. Glackin, T. Martin McGinnity, Liam P. Maguire, Qingxiang Wu, Ammar Belatreche

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Adaptive Co-ordinate Transformation Based on a Spike Timing-Dependent Plasticity Learning Paradigm.

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin

Proceedings of the Advances in Natural Computation, First International Conference, 2005

Adaptive discretizer for machine learning based on granular computing and rough sets.

Qingxiang Wu, Ping Wang, Xi Huang, Shan Yan

Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

2003

Multi-knowledge Extraction and Application.

Qingxiang Wu, David A. Bell

Proceedings of the Rough Sets, 2003

2001

Data Reduction Based on Spatial Partitioning.

Gongde Guo, Hui Wang, David A. Bell, Qingxiang Wu

Proceedings of the Computational Science - ICCS 2001, 2001