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Yinggan Tang
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2020 – today
- 2024
- [j42]Yinggan Tang
, Ailian Fan:
Bayesian Anchored Neighborhood Regression for Single-Image Super-Resolution. Circuits Syst. Signal Process. 43(8): 5309-5327 (2024) - [j41]Yinggan Tang
A boosted degradation representation learning for blind image super-resolution. Eng. Appl. Artif. Intell. 133: 108459 (2024) - [j40]Yinggan Tang
DMGNet: Depth mask guiding network for RGB-D salient object detection. Neural Networks 180: 106751 (2024) - [j39]Yinggan Tang
MFFAGAN: Generative Adversarial Network With Multilevel Feature Fusion Attention Mechanism for Remote Sensing Image Super-Resolution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 6860-6874 (2024) - [j38]Jiaxin Chen, Xuguang Zhang, Yinggan Tang, Hui Yu
ICE-YoloX: research on face mask detection algorithm based on improved YoloX network. J. Supercomput. 80(3): 2948-2969 (2024) - 2023
- [j37]Yinggan Tang
An improved imperialist competition algorithm with adaptive differential mutation assimilation strategy for function optimization. Expert Syst. Appl. 211: 118686 (2023) - [j36]Weiguang Zhang, Xuguang Zhang
Facial expression recognition based on improved residual network. IET Image Process. 17(7): 2005-2014 (2023) - [j35]Yinggan Tang
An efficient lightweight network for single image super-resolution. J. Vis. Commun. Image Represent. 93: 103834 (2023) - [c6]Jiaxin Chen, Xuguang Zhang, Yinggan Tang, Hui Yu:
ICE-YoloX: An Effective Face Mask Detection Method. SMC 2023: 1872-1877 - 2022
- [j34]Meng Han, Hak-Keung Lam
More relaxed stability analysis and positivity analysis for positive polynomial fuzzy systems via membership functions dependent method. Fuzzy Sets Syst. 432: 111-131 (2022) - [j33]Yinggan Tang, Chenglu Liu, Xuguang Zhang:
Single image super-resolution using Wasserstein generative adversarial network with gradient penalty. Pattern Recognit. Lett. 163: 32-39 (2022) - [j32]Meng Han
Estimation of Domain of Attraction for Discrete-Time Positive Interval Type-2 Polynomial Fuzzy Systems With Input Saturation. IEEE Trans. Fuzzy Syst. 30(2): 397-411 (2022) - [j31]Meng Han
Stabilization Analysis and Impulsive Controller Design for Positive Interval Type-2 Polynomial Fuzzy Systems. IEEE Trans. Fuzzy Syst. 30(9): 3952-3966 (2022) - 2021
- [j30]Bo Zhang, Yinggan Tang
Parameter Identification of Fractional Order Systems Using a Hybrid of Bernoulli Polynomials and Block Pulse Functions. IEEE Access 9: 40178-40186 (2021) - [j29]Bo Zhang, Yinggan Tang
Operational matrix based set-membership method for fractional order systems parameter identification. J. Frankl. Inst. 358(18): 10141-10164 (2021) - 2020
- [j28]Jie Zhang, Zhaopeng Jin
Design and Implementation of Novel Fractional-Order Controllers for Stabilized Platforms. IEEE Access 8: 93133-93144 (2020) - [j27]Meng Han
Stability Analysis and Estimation of Domain of Attraction for Positive Polynomial Fuzzy Systems With Input Saturation. IEEE Trans. Fuzzy Syst. 28(8): 1723-1736 (2020)
2010 – 2019
- 2019
- [j26]Ting You, Yueli Hu, Peijiang Li, Yinggan Tang:
An improved imperialist competitive algorithm for global optimization. Turkish J. Electr. Eng. Comput. Sci. 27(5): 3567-3581 (2019) - 2018
- [j25]Jiaquan Chen, Binglei Guan, Hailun Wang, Xuguang Zhang, Yinggan Tang
Image Thresholding Segmentation Based on Two Dimensional Histogram Using Gray Level and Local Entropy Information. IEEE Access 6: 5269-5275 (2018) - [j24]Chundi Jiang, Wei Yang, Yu Guo, Fei Wu, Yinggan Tang
Nonlocal Means Two Dimensional Histogram-Based Image Segmentation via Minimizing Relative Entropy. Entropy 20(11): 827 (2018) - [j23]Yinggan Tang
Application of ELM-Hammerstein model to the identification of solid oxide fuel cells. Neural Comput. Appl. 29(2): 401-411 (2018) - 2017
- [j22]Xiulian Zheng, Hong Ye, Yinggan Tang
Image Bi-Level Thresholding Based on Gray Level-Local Variance Histogram. Entropy 19(5): 191 (2017) - [j21]Xiao Li, Ying Wang, Ning Li, Minyu Han, Yinggan Tang
Optimal fractional order PID controller design for automatic voltage regulator system based on reference model using particle swarm optimization. Int. J. Mach. Learn. Cybern. 8(5): 1595-1605 (2017) - [j20]Yinggan Tang
A changing forgetting factor RLS for online identification of nonlinear systems based on ELM-Hammerstein model. Neural Comput. Appl. 28(S-1): 813-827 (2017) - [c5]Dongli Zhang, Yinggan Tang:
Parameter Identification of Chaotic Systems Using an Improved Artificial Bee Colony Algorithm. ISCID (2) 2017: 471-475 - 2016
- [j19]Yinggan Tang
Identification and control of nonlinear system based on Laguerre-ELM Wiener model. Commun. Nonlinear Sci. Numer. Simul. 38: 192-205 (2016) - [j18]Junpeng Li, Changchun Hua
A fast training algorithm for extreme learning machine based on matrix decomposition. Neurocomputing 173: 1951-1958 (2016) - [j17]Yinggan Tang, Liheng Zhao, Zhenzhen Han, Xiangwei Bi, Xinping Guan:
Optimal gray PID controller design for automatic voltage regulator system via imperialist competitive algorithm. Int. J. Mach. Learn. Cybern. 7(2): 229-240 (2016) - [j16]Xia Xu, Changchun Hua
Modeling of the hot metal silicon content in blast furnace using support vector machine optimized by an improved particle swarm optimizer. Neural Comput. Appl. 27(6): 1451-1461 (2016) - [j15]Limin Zhang, Changchun Hua
Ill-posed Echo State Network based on L-curve Method for Prediction of Blast Furnace Gas Flow. Neural Process. Lett. 43(1): 97-113 (2016) - [c4]Yinggan Tang, Chunning Bu, Liying Zhao:
Coupled deep auto-encoder with image edge information for image super-resolution. ICIA 2016: 1708-1713 - [c3]Yinggan Tang, Xiaoning Zhu, Mingyong Cui:
Convolutional neural network with gradient information for image super-resolution. ICIA 2016: 1714-1719 - 2015
- [j14]Limin Zhang, Yinggan Tang, Changchun Hua
A new particle swarm optimization algorithm with adaptive inertia weight based on Bayesian techniques. Appl. Soft Comput. 28: 138-149 (2015) - [j13]Xia Xu, Yinggan Tang, Junpeng Li, Changchun Hua
Dynamic multi-swarm particle swarm optimizer with cooperative learning strategy. Appl. Soft Comput. 29: 169-183 (2015) - [j12]Shuen Wang, Zhenzhen Han, Fucai Liu, Yinggan Tang:
Nonlinear system identification using least squares support vector machine tuned by an adaptive particle swarm optimization. Int. J. Mach. Learn. Cybern. 6(6): 981-992 (2015) - [j11]Yinggan Tang
Parameter identification of fractional order systems using block pulse functions. Signal Process. 107: 272-281 (2015) - 2014
- [j10]Junpeng Li, Yinggan Tang, Changchun Hua
An improved krill herd algorithm: Krill herd with linear decreasing step. Appl. Math. Comput. 234: 356-367 (2014) - [j9]Junpeng Li, Changchun Hua
Stochastic gradient with changing forgetting factor-based parameter identification for Wiener systems. Appl. Math. Lett. 33: 40-45 (2014) - [j8]Yinggan Tang, Weiwei Mu, Lixing Zhao, Gang Zhao:
An image segmentation method based on maximizing fuzzy correlation and its fast recursive algorithm. Comput. Electr. Eng. 40(3): 833-843 (2014) - [j7]Yinggan Tang, Zhonghui Li, Xinping Guan:
Identification of nonlinear system using extreme learning machine based Hammerstein model. Commun. Nonlinear Sci. Numer. Simul. 19(9): 3171-3183 (2014) - [j6]Mingyong Cui, Haifang Liu, Zhonghui Li, Yinggan Tang
Identification of Hammerstein model using functional link artificial neural network. Neurocomputing 142: 419-428 (2014) - [c2]Xia Xu, Changchun Hua
Wiener model identification of blast furnace ironmaking process based on Laguerre filter and linear programming support vector regression. IJCNN 2014: 2198-2204 - 2013
- [j5]Yinggan Tang, Weiwei Mu, Xiumei Zhang, Yixian Yang:
Modified Fuzzy Linear Discriminant Analysis for Threshold Selection. Circuits Syst. Signal Process. 32(2): 711-726 (2013) - [j4]Yinggan Tang, Xiangyang Zhang, Dongli Zhang, Gang Zhao, Xinping Guan:
Fractional order sliding mode controller design for antilock braking systems. Neurocomputing 111: 122-130 (2013) - 2012
- [j3]Yinggan Tang, Mingyong Cui, Changchun Hua
Optimum design of fractional order PIλDμ controller for AVR system using chaotic ant swarm. Expert Syst. Appl. 39(8): 6887-6896 (2012) - 2011
- [j2]Yinggan Tang, Weiwei Mu, Ying Zhang, Xuguang Zhang:
A fast recursive algorithm based on fuzzy 2-partition entropy approach for threshold selection. Neurocomputing 74(17): 3072-3078 (2011) - 2010
- [j1]Yinggan Tang, Leijie Qiao, Xinping Guan:
Identification of Wiener model using step signals and particle swarm optimization. Expert Syst. Appl. 37(4): 3398-3404 (2010)
2000 – 2009
- 2005
- [c1]Dong Liu, Yinggan Tang, Xinping Guan:
Texture Segmentation Using Intensified Fuzzy Kohonen Clustering Network. ICNC (2) 2005: 75-80
Coauthor Index
aka: Xinping Guan
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last updated on 2024-10-23 21:22 CEST by the dblp team
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