Yinggan Tang

According to our database, Yinggan Tang authored at least 48 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Bayesian Anchored Neighborhood Regression for Single-Image Super-Resolution.

Yinggan Tang, Ailian Fan

Circuits Syst. Signal Process., August, 2024

ICE-YoloX: research on face mask detection algorithm based on improved YoloX network.

Jiaxin Chen, Xuguang Zhang, Yinggan Tang, Hui Yu

J. Supercomput., February, 2024

MFFAGAN: Generative Adversarial Network With Multilevel Feature Fusion Attention Mechanism for Remote Sensing Image Super-Resolution.

Yinggan Tang, Tianjiao Wang, Defeng Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

DMGNet: Depth mask guiding network for RGB-D salient object detection.

Yinggan Tang, Mengyao Li

Neural Networks, 2024

A boosted degradation representation learning for blind image super-resolution.

Yinggan Tang, Xiang Zhang, Chunning Bu

Eng. Appl. Artif. Intell., 2024

2023

An efficient lightweight network for single image super-resolution.

Yinggan Tang, Xiang Zhang, Xuguang Zhang

J. Vis. Commun. Image Represent., May, 2023

Facial expression recognition based on improved residual network.

Weiguang Zhang, Xuguang Zhang, Yinggan Tang

IET Image Process., 2023

An improved imperialist competition algorithm with adaptive differential mutation assimilation strategy for function optimization.

Yinggan Tang, Fei Zhou

Expert Syst. Appl., 2023

ICE-YoloX: An Effective Face Mask Detection Method.

Jiaxin Chen, Xuguang Zhang, Yinggan Tang, Hui Yu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

Estimation of Domain of Attraction for Discrete-Time Positive Interval Type-2 Polynomial Fuzzy Systems With Input Saturation.

Meng Han, Hak-Keung Lam, Fucai Liu, Yinggan Tang, Hongying Zhou

IEEE Trans. Fuzzy Syst., 2022

Stabilization Analysis and Impulsive Controller Design for Positive Interval Type-2 Polynomial Fuzzy Systems.

Meng Han, Hak-Keung Lam, Fucai Liu, Yinggan Tang, Bo Han, Hongying Zhou

IEEE Trans. Fuzzy Syst., 2022

Single image super-resolution using Wasserstein generative adversarial network with gradient penalty.

Yinggan Tang, Chenglu Liu, Xuguang Zhang

Pattern Recognit. Lett., 2022

More relaxed stability analysis and positivity analysis for positive polynomial fuzzy systems via membership functions dependent method.

Meng Han, Hak-Keung Lam, Fucai Liu, Yinggan Tang

Fuzzy Sets Syst., 2022

2021

Operational matrix based set-membership method for fractional order systems parameter identification.

Bo Zhang, Yinggan Tang, Xuguang Zhang, Yao Lu

J. Frankl. Inst., 2021

Parameter Identification of Fractional Order Systems Using a Hybrid of Bernoulli Polynomials and Block Pulse Functions.

Bo Zhang, Yinggan Tang, Xuguang Zhang, Chunjiang Zhang

IEEE Access, 2021

2020

Stability Analysis and Estimation of Domain of Attraction for Positive Polynomial Fuzzy Systems With Input Saturation.

Meng Han, Hak-Keung Lam, Fucai Liu, Likui Wang, Yinggan Tang

IEEE Trans. Fuzzy Syst., 2020

Design and Implementation of Novel Fractional-Order Controllers for Stabilized Platforms.

Jie Zhang, Zhaopeng Jin, Yanzhi Zhao, Yinggan Tang, Fucai Liu, Yao Lu, Pengcheng Liu

IEEE Access, 2020

2019

An improved imperialist competitive algorithm for global optimization.

Ting You, Yueli Hu, Peijiang Li, Yinggan Tang

Turkish J. Electr. Eng. Comput. Sci., 2019

2018

Application of ELM-Hammerstein model to the identification of solid oxide fuel cells.

Yinggan Tang, Chunning Bu, Minmin Liu, Linlin Zhang, Qiusheng Lian

Neural Comput. Appl., 2018

Nonlocal Means Two Dimensional Histogram-Based Image Segmentation via Minimizing Relative Entropy.

Chundi Jiang, Wei Yang, Yu Guo, Fei Wu, Yinggan Tang

Entropy, 2018

Image Thresholding Segmentation Based on Two Dimensional Histogram Using Gray Level and Local Entropy Information.

Jiaquan Chen, Binglei Guan, Hailun Wang, Xuguang Zhang, Yinggan Tang, Wenzhao Hu

IEEE Access, 2018

2017

A changing forgetting factor RLS for online identification of nonlinear systems based on ELM-Hammerstein model.

Yinggan Tang, Zhenzhen Han, Ying Wang, Linlin Zhang, Qiushen Lian

Neural Comput. Appl., 2017

Optimal fractional order PID controller design for automatic voltage regulator system based on reference model using particle swarm optimization.

Xiao Li, Ying Wang, Ning Li, Minyu Han, Yinggan Tang, Fucai Liu

Int. J. Mach. Learn. Cybern., 2017

Image Bi-Level Thresholding Based on Gray Level-Local Variance Histogram.

Xiulian Zheng, Hong Ye, Yinggan Tang

Entropy, 2017

Parameter Identification of Chaotic Systems Using an Improved Artificial Bee Colony Algorithm.

Dongli Zhang, Yinggan Tang

Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

2016

Ill-posed Echo State Network based on L-curve Method for Prediction of Blast Furnace Gas Flow.

Limin Zhang, Changchun Hua, Yinggan Tang, Xin-Ping Guan

Neural Process. Lett., 2016

Modeling of the hot metal silicon content in blast furnace using support vector machine optimized by an improved particle swarm optimizer.

Xia Xu, Changchun Hua, Yinggan Tang, Xin-Ping Guan

Neural Comput. Appl., 2016

Optimal gray PID controller design for automatic voltage regulator system via imperialist competitive algorithm.

Yinggan Tang, Liheng Zhao, Zhenzhen Han, Xiangwei Bi, Xinping Guan

Int. J. Mach. Learn. Cybern., 2016

A fast training algorithm for extreme learning machine based on matrix decomposition.

Junpeng Li, Changchun Hua, Yinggan Tang, Xinping Guan

Neurocomputing, 2016

Identification and control of nonlinear system based on Laguerre-ELM Wiener model.

Yinggan Tang, Zhenzhen Han, Fucai Liu, Xinping Guan

Commun. Nonlinear Sci. Numer. Simul., 2016

Convolutional neural network with gradient information for image super-resolution.

Yinggan Tang, Xiaoning Zhu, Mingyong Cui

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

Coupled deep auto-encoder with image edge information for image super-resolution.

Yinggan Tang, Chunning Bu, Liying Zhao

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

2015

Parameter identification of fractional order systems using block pulse functions.

Yinggan Tang, Haifang Liu, Weiwei Wang, Qiusheng Lian, Xin-Ping Guan

Signal Process., 2015

Nonlinear system identification using least squares support vector machine tuned by an adaptive particle swarm optimization.

Shuen Wang, Zhenzhen Han, Fucai Liu, Yinggan Tang

Int. J. Mach. Learn. Cybern., 2015

A new particle swarm optimization algorithm with adaptive inertia weight based on Bayesian techniques.

Limin Zhang, Yinggan Tang, Changchun Hua, Xin-Ping Guan

Appl. Soft Comput., 2015

Dynamic multi-swarm particle swarm optimizer with cooperative learning strategy.

Xia Xu, Yinggan Tang, Junpeng Li, Changchun Hua, Xin-Ping Guan

Appl. Soft Comput., 2015

2014

Identification of Hammerstein model using functional link artificial neural network.

Mingyong Cui, Haifang Liu, Zhonghui Li, Yinggan Tang, Xinping Guan

Neurocomputing, 2014

Identification of nonlinear system using extreme learning machine based Hammerstein model.

Yinggan Tang, Zhonghui Li, Xinping Guan

Commun. Nonlinear Sci. Numer. Simul., 2014

An image segmentation method based on maximizing fuzzy correlation and its fast recursive algorithm.

Yinggan Tang, Weiwei Mu, Lixing Zhao, Gang Zhao

Comput. Electr. Eng., 2014

Stochastic gradient with changing forgetting factor-based parameter identification for Wiener systems.

Junpeng Li, Changchun Hua, Yinggan Tang, Xinping Guan

Appl. Math. Lett., 2014

An improved krill herd algorithm: Krill herd with linear decreasing step.

Junpeng Li, Yinggan Tang, Changchun Hua, Xinping Guan

Appl. Math. Comput., 2014

Wiener model identification of blast furnace ironmaking process based on Laguerre filter and linear programming support vector regression.

Xia Xu, Changchun Hua, Yinggan Tang, Xinping Guan

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Fractional order sliding mode controller design for antilock braking systems.

Yinggan Tang, Xiangyang Zhang, Dongli Zhang, Gang Zhao, Xinping Guan

Neurocomputing, 2013

Modified Fuzzy Linear Discriminant Analysis for Threshold Selection.

Yinggan Tang, Weiwei Mu, Xiumei Zhang, Yixian Yang

Circuits Syst. Signal Process., 2013

2012

Optimum design of fractional order PI^λD^μ controller for AVR system using chaotic ant swarm.

Yinggan Tang, Mingyong Cui, Changchun Hua, Lixiang Li, Yixian Yang

Expert Syst. Appl., 2012

2011

A fast recursive algorithm based on fuzzy 2-partition entropy approach for threshold selection.

Yinggan Tang, Weiwei Mu, Ying Zhang, Xuguang Zhang

Neurocomputing, 2011

2010

Identification of Wiener model using step signals and particle swarm optimization.

Yinggan Tang, Leijie Qiao, Xinping Guan

Expert Syst. Appl., 2010

2005

Texture Segmentation Using Intensified Fuzzy Kohonen Clustering Network.

Dong Liu, Yinggan Tang, Xinping Guan

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