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2020 – today
- 2025
[j24]Meng Zhai
, Shuzhen Diao, Tong Yang, Qingxiang Wu, Yongchun Fang, Ning Sun:
Adaptive Fuzzy Control for Underactuated Robot Systems With Inaccurate Actuated States and Unavailable Unactuated States. IEEE Trans Autom. Sci. Eng. 22: 1566-1578 (2025)- [j23]Meng Zhai, Tong Yang, Qingxiang Wu, Shudong Guo, Ruiping Pang, Ning Sun:
Extended Kalman Filtering-Based Nonlinear Model Predictive Control for Underactuated Systems With Multiple Constraints and Obstacle Avoidance. IEEE Trans. Cybern. 55(1): 369-382 (2025) - [j22]Haoqi Tang, Qingxiang Wu, Zhuoqing Liu, Yongchun Fang, Ning Sun:
Integral Barrier Function-Based Adaptive Output Feedback Robust Force Control for Pneumatic Compliant End-Effectors With Complex Hysteresis. IEEE Trans. Ind. Electron. 72(3): 2977-2986 (2025) - 2024
- [j21]Haosheng Sun, Qingxiang Wu, Huawang Liu, Yongchun Fang, Ning Sun:
Precise Motion Control for Self-Reconfiguration Wave-Like Crawling Robots in Parallel Connection With Limited Resources. IEEE Robotics Autom. Lett. 9(9): 7883-7890 (2024) - [j20]Tong Yang, Ning Sun, Meng Zhai, Yongchun Fang, Qingxiang Wu:
Data-Based Dual-Loop Learning Control of Underactuated Systems With Disturbance Prediction and Input-Output Constraints. IEEE Trans. Artif. Intell. 5(7): 3419-3430 (2024) - [j19]Qingxiang Wu, Ning Sun, Tong Yang, Yongchun Fang:
Deep Reinforcement Learning-Based Control for Asynchronous Motor-Actuated Triple Pendulum Crane Systems With Distributed Mass Payloads. IEEE Trans. Ind. Electron. 71(2): 1853-1862 (2024) - [j18]Zehao Qiu, Qingxiang Wu, Zhuoqing Liu, Yongchun Fang, Ning Sun:
A New Three-Dimensional Deformation Pneumatic Soft Actuator With Mutually Vertical PneuNets. IEEE Trans. Ind. Electron. 71(12): 16003-16012 (2024) - [j17]Qing Wang, Weiping Liu, Xiumei Wang, Xinghong Chen, Guannan Chen, Qingxiang Wu:
GMHANN: A Novel Traffic Flow Prediction Method for Transportation Management Based on Spatial-Temporal Graph Modeling. IEEE Trans. Intell. Transp. Syst. 25(1): 386-401 (2024) - [c63]Zhuoqing Liu, Tong Yang, Qingxiang Wu, Yinan Wu, He Chen, Ning Sun:
Dynamic Modeling for 3-Dimensional Cooperative Dual Boom Cranes: Analysis and Verification. AMC 2024: 1-6 - [c62]Jiaxi Pei, Menghua Zhang, Yichen Li, Hao Zhu, Peiran Li, Qingxiang Wu:
Adaptive Neural Network Control for Pneumatic Artificial Muscles. ASCC 2024: 1-6 - [c61]Hai Wang, Huanhuan Lou, Song Men, Baoliang Wang, Bocheng Xu, Qingxiang Wu, Yuanhao Su, Huawang Liu, Ning Sun:
A New Unified Frame and System of Bionic Variable Structure Robots: Design and Applications. ICIRA (4) 2024: 183-198 - [c60]Yaxuan Wu, Qingxiang Wu, Shudong Guo, Ruiping Pang, Tong Yang, Ning Sun:
Dynamic Modeling of Double Pendulum Tower Cranes Considering Distributed Mass Payloads and Variable Rope Lengths. INDIN 2024: 1-6 - [c59]Huanhuan Lou, Qingxiang Wu, Hai Wang, Tong Yang, Huawang Liu, Ning Sun:
Kinematics and Dynamics Modeling of Bionic Variable Structure UAVs. RCAR 2024: 592-597 - 2023
- [j16]Tong Yu, Qingxiang Wu:
HarDNet-CPS: Colorectal polyp segmentation based on Harmonic Densely United Network. Biomed. Signal Process. Control. 85: 104953 (2023) - [j15]Qing Wang, Weiping Liu, Xiumei Wang, Xinghong Chen, Guannan Chen, Qingxiang Wu:
A Spatial-Temporal Graph Model for Pronunciation Feature Prediction of Chinese Poetry. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10294-10308 (2023) - 2022
- [j14]Minghui Xia, Xiaokai Wang, Qingxiang Wu, Lin Hua:
A single and double closed-loop compound anti-sway control method for double-pendulum bridge cranes locating at random position. Trans. Inst. Meas. Control 44(3) (2022) - [c58]Haoqi Tang, Zhuoqing Liu, Qingxiang Wu, Lei Sun, Ning Sun:
Extended-State-Observer-Based Sliding Mode Control for a Compliant Grinding Device With Unknown Backlash-Like Hysteresis. IECON 2022: 1-6 - [c57]Yuanhao Su, Qingxiang Wu, Ning Sun, Chunhui He, Haosheng Sun:
Adaptive Control of Global Trajectory Tracking for a Tractor-Trailer System with Wheeltrack Uncertainties. ROBIO 2022: 945-950
2010 – 2019
- 2019
- [c56]Ming Han, Qingxiang Wu, Xiongjun Zeng:
Single-Scale Workpiece Defect Detection Based on Deep Learning. CISP-BMEI 2019: 1-5 - 2018
- [j13]Guimin Lin, Qingxiang Wu, Lida Qiu, Xixian Huang:
Image super-resolution using a dilated convolutional neural network. Neurocomputing 275: 1219-1230 (2018) - [j12]Guimin Lin, Qingxiang Wu, Liang Chen, Lida Qiu, Xuan Wang, Tianjian Liu, Xiyao Chen:
Deep unsupervised learning for image super-resolution with generative adversarial network. Signal Process. Image Commun. 68: 88-100 (2018) - [c55]Xiongjun Zeng, Qingxiang Wu, Ming Han, Xi Huang:
Multi-View Face Recognition and Verification Based on Convolutional Neural Network. CISP-BMEI 2018: 1-5 - 2017
- [j11]Qiyan Sun, Qingxiang Wu, Xuan Wang, Lei Hou:
A spiking neural network for extraction of features in colour opponent visual pathways and FPGA implementation. Neurocomputing 228: 119-132 (2017) - [c54]Lingfeng Kong, Qingxiang Wu, Kai Lin, Baolin Chen:
Scratch detection of round buttons based on machine vision. CISP-BMEI 2017: 1-6 - [c53]Pengfei Li, Qingxiang Wu, Caiyun Wu, Caiyou Yuan:
A denosing method of frequency spectrum for recognition of dashboard sounds. CISP-BMEI 2017: 1-5 - [c52]Pengfei Li, Qingxiang Wu, Yao Xiao, Yanan Zhang:
An efficient algorithm for recognition of pointer scale value on dashboard. CISP-BMEI 2017: 1-6 - [c51]Caiyun Wu, Qingxiang Wu, Caiyou Yuan, Pengfei Li, Yanan Zhang, Yao Xiao:
Multimeter digital recognition based on feature coding detection. CISP-BMEI 2017: 1-6 - [c50]Caiyou Yuan, Qingxiang Wu, Caiyun Wu, Pengfei Li, Yanan Zhang, Yao Xiao:
Expression recognition algorithm based on the relative relationship of the facial landmarks. CISP-BMEI 2017: 1-5 - [c49]Yanan Zhang, Qingxiang Wu, Yao Xiao, Caiyun Wu, Pengfei Li, Caiyou Yuan:
Fusion of features from multiple visual pathways for on-line classification of tiles. CISP-BMEI 2017: 1-5 - [c48]Guimin Lin, Qingxiang Wu, Xixian Huang, Lida Qiu, Xiyao Chen:
Deep Convolutional Networks-Based Image Super-Resolution. ICIC (1) 2017: 338-344 - 2016
- [j10]Xiaojin Lin, Qingxiang Wu, Xuan Wang, Zhiqiang Zhuo, Gongrong Zhang:
People recognition in multi-cameras using the visual color processing mechanism. Neurocomputing 188: 71-81 (2016) - [j9]Xuan Wang, Qingxiang Wu, Xiaojin Lin, Zhiqiang Zhuo, Liuping Huang:
Pedestrian identification based on fusion of multiple features and multiple classifiers. Neurocomputing 188: 151-159 (2016) - [c47]Lingfeng Kong, Qingxiang Wu:
Recognition algorithm for huge number of very similar objects. CISP-BMEI 2016: 533-537 - [c46]Yadan Zeng, Houde Dai, Minghu Zheng, Shijian Su, Zhouxin Wu, Xuke Xia, Zhirong Lin, Qingxiang Wu:
A 3D passive optical localization system based on binocular infrared cameras. ICIA 2016: 368-373 - [c45]Lei Hou, Qingxiang Wu, Qiyan Sun, Heng Yang, Pengfei Li:
Fruit recognition based on convolution neural network. ICNC-FSKD 2016: 18-22 - 2015
- [j8]Zhenmin Zhang, Qingxiang Wu, Zhiqiang Zhuo, Xiaowei Wang, Liuping Huang:
Wavelet transform and texture recognition based on spiking neural network for visual images. Neurocomputing 151: 985-995 (2015) - [c44]Yanfeng Chen, Qingxiang Wu, Haihui Xie, SanLiang Hong, Xue Li:
Moving Vehicle Detection Based on Visual Processing Mechanism with Multiple Pathways. ICIC (3) 2015: 251-263 - [c43]Qiyan Sun, Qingxiang Wu, Xuan Wang, Lei Hou:
A Spiking Neural Network for Extraction of Multi-features in Visual Processing Pathways. ICIC (3) 2015: 275-281 - [c42]Qian Du, LiJuan Chen, Rongtai Cai, Peng Zhu, TianShui Wu, Qingxiang Wu:
License Plate Extraction Using Spiking Neural Networks. ICIC (1) 2015: 366-377 - [c41]Haihui Xie, Qingxiang Wu:
Human action recognition based on variation energy images features. ICNC 2015: 479-484 - [c40]Yanfeng Chen, Qingxiang Wu:
Moving vehicle detection based on optical flow estimation of edge. ICNC 2015: 754-758 - [c39]Zhenmin Zhang, Qingxiang Wu, Xuan Wang, Qiyan Sun:
Training spiking neural networks with the improved grey-level co-occurrence matrix algorithm for texture analysis. ICNC 2015: 825-830 - [c38]Zhenmin Zhang, Qingxiang Wu, Xuan Wang, Qiyan Sun:
Training spiking neural networks with the improved Grey-Level Co-occurrence Matrix algorithm for texture analysis. ICNC 2015: 1069-1074 - 2014
- [c37]Xiaojin Lin, Qingxiang Wu, Xuan Wang, Zhiqiang Zhuo, Gongrong Zhang:
Moving People Recognition Algorithm Based on the Visual Color Processing Mechanism. ICIC (1) 2014: 480-487 - [c36]Xuan Wang, Qingxiang Wu, Xiaojin Lin, Zhiqiang Zhuo:
Finding Specific Person Using Spiking Neural Network Based on Texture Features. ICIC (1) 2014: 488-494 - 2013
- [j7]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Rongtai Cai, Meigui Chen:
A visual attention model based on hierarchical spiking neural networks. Neurocomputing 116: 3-12 (2013) - [c35]Gongrong Zhang, Qingxiang Wu, Zhiqiang Zhuo, Xiaowei Wang, Xiaojin Lin:
A Large-scale Images Processing Model Based on Hadoop Platform. ICCC 2013: 51 - [c34]Zhenmin Zhang, Qingxiang Wu, Zhiqiang Zhuo, Xiaowei Wang, Liuping Huang:
Fast Wavelet Transform Based on Spiking Neural Network for Visual Images. ICIC (3) 2013: 7-12 - [c33]Zhiqiang Zhuo, Qingxiang Wu, Zhenmin Zhang, Gongrong Zhang, Liuping Huang:
GPU Implementation of Spiking Neural Networks for Edge Detection. ICIC (3) 2013: 147-152 - 2012
- [c32]Chengmei Ruan, Qingxiang Wu, Lijuan Fan, Zhiqiang Zhuo, Xiaowei Wang:
Competitive behaviors of a spiking neural network with spike timing dependent plasticity. BMEI 2012: 1015-1019 - [c31]Dermot Kerr, Sonya A. Coleman, Thomas Martin McGinnity, Qingxiang Wu, Marine Clogenson:
A novel approach to robot vision using a hexagonal grid and spiking neural networks. IJCNN 2012: 1-7 - 2011
- [c30]Meigui Chen, Qingxiang Wu, Rongtai Cai, Chengmei Ruan, Lijuan Fan:
Extraction of Breast Cancer Areas in Mammography Using a Neural Network Based on Multiple Features. AICI (3) 2011: 228-235 - [c29]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Rongtai Cai, Meigui Chen:
Simulation of Visual Attention Using Hierarchical Spiking Neural Networks. ICIC (3) 2011: 26-31 - [c28]Dermot Kerr, T. Martin McGinnity, Sonya A. Coleman, Qingxiang Wu, Marine Clogenson:
Spiking Hierarchical Neural Network for Corner Detection. IJCCI (NCTA) 2011: 230-235 - [c27]Marine Clogenson, Dermot Kerr, T. Martin McGinnity, Sonya A. Coleman, Qingxiang Wu:
Biologically Inspired Edge Detection using Spiking Neural Networks and Hexagonal Images. IJCCI (NCTA) 2011: 381-384 - [c26]Rongtai Cai, Qingxiang Wu, Ping Wang, Honghai Sun, Zichen Wang:
Moving Target Detection and Classification Using Spiking Neural Networks. IScIDE 2011: 210-217 - [c25]Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Qingxiang Wu, Marine Clogenson:
Biologically inspired edge detection. ISDA 2011: 802-807 - 2010
- [c24]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, German D. Valderrama-Gonzalez, Patrick Dempster:
Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System. ICIC (1) 2010: 49-57 - [c23]Patrick Dempster, Thomas Martin McGinnity, Brendan P. Glackin, Qingxiang Wu:
Performance Comparison of a Biologically Inspired Edge Detection Algorithm on CPU, GPU and FPGA. IJCCI (ICFC-ICNC) 2010: 420-424
2000 – 2009
- 2009
- [c22]Qingxiang Wu, Xi Huang, Jianyong Cai, Yi Wu, Meiyan Lin:
Segmentation of Leukocytes in Blood Smeare Images Using Color Processing Mechanism Inspired by the Visual System. BMEI 2009: 1-4 - [c21]Brendan P. Glackin, Jim Harkin, T. Martin McGinnity, Liam P. Maguire, Qingxiang Wu:
Emulating Spiking Neural Networks for edge detection on FPGA hardware. FPL 2009: 670-673 - [c20]German D. Valderrama-Gonzalez, T. Martin McGinnity, Liam P. Maguire, Qingxiang Wu:
Review of Neuron Types in the Retina: Information Models for Neuroengineering. ICANN (1) 2009: 335-344 - [c19]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Arfan Ghani, Joan Condell:
Spiking Neural Network Performs Discrete Cosine Transform for Visual Images. ICIC (2) 2009: 21-29 - [c18]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, German D. Valderrama-Gonzalez, Jianyong Cai:
Detection of Straight Lines Using a Spiking Neural Network Model. ICNC (2) 2009: 385-389 - [r1]Qingxiang Wu, T. Martin McGinnity, Girijesh Prasad, David A. Bell:
Knowledge Discovery in Databases with Diversity of Data Types. Encyclopedia of Data Warehousing and Mining 2009: 1117-1123 - 2008
- [j6]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin:
Processing visual stimuli using hierarchical spiking neural networks. Neurocomputing 71(10-12): 2055-2068 (2008) - [j5]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin:
2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism. Neural Networks 21(9): 1318-1327 (2008) - [c17]Qingxiang Wu, Xi Huang, David A. Bell, Guilin Qi, Zhihui Luo:
Incremental Knowledge Base for Uncertain Reasoning. FSKD (5) 2008: 187-192 - [c16]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Jianyong Cai, German D. Valderrama-Gonzalez:
Motion Detection Using Spiking Neural Network Model. ICIC (2) 2008: 76-83 - [c15]Zhihui Luo, David A. Bell, Barry McCollum, Qingxiang Wu:
Learning to select relevant perspective in a dynamic environment. IJCNN 2008: 666-673 - 2007
- [j4]Qingxiang Wu, David A. Bell, Girijesh Prasad, T. Martin McGinnity:
A Distribution-Index-Based Discretizer for Decision-Making with Symbolic AI Approaches. IEEE Trans. Knowl. Data Eng. 19(1): 17-28 (2007) - [c14]Qingxiang Wu, David A. Bell, Rashid Hafeez Khokhar, Guilin Qi, Zhihui Luo:
Autonomous Robot Control Using Evidential Reasoning. FSKD (4) 2007: 550-554 - [c13]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin:
Edge Detection Based on Spiking Neural Network Model. ICIC (2) 2007: 26-34 - [p2]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Brendan P. Glackin, Ammar Belatreche:
Learning Mechanisms in Networks of Spiking Neurons. Trends in Neural Computation 2007: 171-197 - 2006
- [j3]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Brendan P. Glackin, Ammar Belatreche:
Learning under weight constraints in networks of temporal encoding spiking neurons. Neurocomputing 69(16-18): 1912-1922 (2006) - [j2]Qingxiang Wu, T. Martin McGinnity, David A. Bell, Girijesh Prasad:
A Self-Organizing Computing Network for Decision-Making in Data Sets with a Diversity of Data Types. IEEE Trans. Knowl. Data Eng. 18(7): 941-953 (2006) - [c12]Qingxiang Wu, T. Martin McGinnity, Girijesh Prasad, David A. Bell, Brendan P. Glackin:
Multi-knowledge Approach for Mobile Robot Identification of a Changing Environment. EUROS 2006: 171-180 - [c11]Rashid Hafeez Khokhar, David A. Bell, Jiwen Guan, Qingxiang Wu:
Risk Assessment of E-Commerce Projects Using Evidential Reasoning. FSKD 2006: 621-630 - [c10]Qingxiang Wu, David A. Bell, T. Martin McGinnity, Girijesh Prasad, Guilin Qi, Xi Huang:
Improvement of Decision Accuracy Using Discretization of Continuous Attributes. FSKD 2006: 674-683 - [c9]Rashid Hafeez Khokhar, David A. Bell, Jiwen Guan, Qingxiang Wu:
Knowledge-Based Risk Assessment Under Uncertainty in Engineering Projects. IDEAL 2006: 1296-1303 - [c8]Qingxiang Wu, Jianyong Cai, Girijesh Prasad, T. Martin McGinnity, David A. Bell, Jiwen Guan:
A Novel Discretizer for Knowledge Discovery Approaches Based on Rough Sets. RSKT 2006: 241-246 - [c7]Qingxiang Wu, David A. Bell, Guilin Qi, Jianyong Cai:
Knowledge Representation and Learning Mechanism Based on Networks of Spiking Neurons. SMC 2006: 2796-2801 - 2005
- [j1]Qingxiang Wu, David A. Bell, T. Martin McGinnity:
Multiknowledge for decision making. Knowl. Inf. Syst. 7(2): 246-266 (2005) - [c6]Qingxiang Wu, Ping Wang, Xi Huang, Shan Yan:
Adaptive discretizer for machine learning based on granular computing and rough sets. GrC 2005: 292-295 - [c5]Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin:
Adaptive Co-ordinate Transformation Based on a Spike Timing-Dependent Plasticity Learning Paradigm. ICNC (1) 2005: 420-428 - [c4]Brendan P. Glackin, T. Martin McGinnity, Liam P. Maguire, Qingxiang Wu, Ammar Belatreche:
A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware. IWANN 2005: 552-563 - [c3]Qingxiang Wu, T. Martin McGinnity, Girijesh Prasad, David A. Bell:
Evolving learning mechanism for a general computing network model. SMC 2005: 1914-1919 - [p1]Qingxiang Wu, David A. Bell, T. Martin McGinnity, Gongde Guo:
Decision Making Based on Hybrid of Multi-Knowledge and Naïve Bayes Classifier. Foundations of Data Mining and knowledge Discovery 2005: 171-184 - 2003
- [c2]Qingxiang Wu, David A. Bell:
Multi-knowledge Extraction and Application. RSFDGrC 2003: 274-278 - 2001
- [c1]Gongde Guo, Hui Wang, David A. Bell, Qingxiang Wu:
Data Reduction Based on Spatial Partitioning. International Conference on Computational Science (2) 2001: 245-252
Coauthor Index
T. Martin McGinnity
aka: Thomas Martin McGinnity
aka: Thomas Martin McGinnity
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