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ORCIDGuang-Yong Chen
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- affiliation: University of Macau, Zhuhai, Macau
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Journal Articles
- 2024
[j29]Bing-Yuan Chen
, Jian-Nan Su, Guang-Yong Chen, Min Gan:
FISTA acceleration inspired network design for underwater image enhancement. J. Vis. Commun. Image Represent. 103: 104224 (2024)- [j28]Xiang-Xiang Su, Min Gan, Guang-Yong Chen, Lin Yang, Jun-Wei Jin:
Nonmonotone variable projection algorithms for matrix decomposition with missing data. Pattern Recognit. 148: 110150 (2024) - [j27]Guang-Yong Chen, Xiang-Xiang Su, Min Gan, Wenzhong Guo, C. L. Philip Chen:
Robust Variable Projection Algorithm for the Identification of Separable Nonlinear Models. IEEE Trans. Autom. Control. 69(9): 6293-6300 (2024) - [j26]Guang-Yong Chen, Wu-Ding Weng, Jian-Nan Su, Min Gan, C. L. Philip Chen:
Dynamic Degradation Intensity Estimation for Adaptive Blind Super-Resolution: A Novel Approach and Benchmark Dataset. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4762-4772 (2024) - [j25]Wenzhong Guo, Wu-Ding Weng, Guang-Yong Chen, Jian-Nan Su, Min Gan, C. L. Philip Chen:
Unsupervised Degradation Aware and Representation for Real-World Remote Sensing Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j24]Jian-Nan Su, Min Gan, Guang-Yong Chen, Wenzhong Guo, C. L. Philip Chen:
High-Similarity-Pass Attention for Single Image Super-Resolution. IEEE Trans. Image Process. 33: 610-624 (2024) - [j23]Guang-Yong Chen, Min Gan, Long Chen, C. L. Philip Chen:
Online Identification of Nonlinear Systems With Separable Structure. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8695-8701 (2024) - 2023
- [j22]Jian-Nan Su, Min Gan, Guang-Yong Chen, Jia-Li Yin, C. L. Philip Chen:
Global Learnable Attention for Single Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8453-8465 (2023) - [j21]Guang-Yong Chen, Min Gan, Jing Chen, Long Chen:
Embedded Point Iteration Based Recursive Algorithm for Online Identification of Nonlinear Regression Models. IEEE Trans. Autom. Control. 68(7): 4257-4264 (2023) - [j20]Guang-Yong Chen, Hui-Lang Xu, Min Gan, C. L. Philip Chen:
A Variable Projection-Based Algorithm for Fault Detection and Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j19]Zhaoyin Shi, Long Chen, Guang-Yong Chen, Kai Zhao, C. L. Philip Chen:
Manifold Enhanced 2-D Fuzzy Subspace Clustering for Image Data. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 741-752 (2023) - 2022
- [j18]Qiong-Ying Chen, Long Chen, Jian-Nan Su, Ming-Jian Fu, Guang-Yong Chen:
Model selection for RBF-ARX models. Appl. Soft Comput. 121: 108723 (2022) - [j17]Guodong Fan, Bi Fan, Min Gan, Guang-Yong Chen, C. L. Philip Chen:
Multiscale Low-Light Image Enhancement Network With Illumination Constraint. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7403-7417 (2022) - [j16]Min Gan, Hong-Tao Zhu, Guang-Yong Chen, C. L. Philip Chen:
Weighted Generalized Cross-Validation-Based Regularization for Broad Learning System. IEEE Trans. Cybern. 52(5): 4064-4072 (2022) - [j15]Guang-Yong Chen, Min Gan, C. L. Philip Chen, Hong-Tao Zhu, Long Chen:
Frequency Principle in Broad Learning System. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6983-6989 (2022) - [j14]Jia Chen, Min Gan, Guang-Yong Chen, C. L. Philip Chen:
Constrained Variable Projection Optimization for Stationary RBF-AR Models. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1882-1890 (2022) - [j13]Long Chen, Jia-Bing Chen, Guang-Yong Chen, Min Gan, C. L. Philip Chen:
Nuisance Parameter Estimation Algorithms for Separable Nonlinear Models. IEEE Trans. Syst. Man Cybern. Syst. 52(11): 7236-7247 (2022) - [j12]Guang-Yong Chen, Min Gan, Hong-Tao Zhu, Long Chen, C. L. Philip Chen:
An Iterative Implementation of Variable Projection for Separable Nonlinear Optimization Problems. IEEE Trans. Syst. Man Cybern. Syst. 52(11): 7259-7267 (2022) - 2021
- [j11]Qiong-Ying Chen, Yun-Zhi Huang, Min Gan, C. L. Philip Chen, Guang-Yong Chen:
BFGS method based variable projection approach for image restoration. IET Image Process. 15(12): 2854-2865 (2021) - [j10]Guang-Yong Chen, Min Gan, C. L. Philip Chen, Han-Xiong Li:
Basis Function Matrix-Based Flexible Coefficient Autoregressive Models: A Framework for Time Series and Nonlinear System Modeling. IEEE Trans. Cybern. 51(2): 614-623 (2021) - [j9]Guang-Yong Chen, Min Gan, Shuqiang Wang, C. L. Philip Chen:
Insights Into Algorithms for Separable Nonlinear Least Squares Problems. IEEE Trans. Image Process. 30: 1207-1218 (2021) - [j8]Min Gan, Yu Guan, Guang-Yong Chen, C. L. Philip Chen:
Recursive Variable Projection Algorithm for a Class of Separable Nonlinear Models. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4971-4982 (2021) - 2020
- [j7]Min Gan, Guang-Yong Chen, Long Chen, C. L. Philip Chen:
Term Selection for a Class of Separable Nonlinear Models. IEEE Trans. Neural Networks Learn. Syst. 31(2): 445-451 (2020) - 2019
- [j6]Min Gan, Xiao-Xian Chen, Feng Ding, Guang-Yong Chen, C. L. Philip Chen:
Adaptive RBF-AR Models Based on Multi-Innovation Least Squares Method. IEEE Signal Process. Lett. 26(8): 1182-1186 (2019) - [j5]Guang-Yong Chen, Min Gan, C. L. Philip Chen, Han-Xiong Li:
A Regularized Variable Projection Algorithm for Separable Nonlinear Least-Squares Problems. IEEE Trans. Autom. Control. 64(2): 526-537 (2019) - [j4]Guang-Yong Chen, Min Gan, Feng Ding, C. L. Philip Chen:
Modified Gram-Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models. IEEE Trans. Neural Networks Learn. Syst. 30(8): 2410-2418 (2019) - 2018
- [j3]Guang-Yong Chen, Min Gan, Guolong Chen:
Generalized exponential autoregressive models for nonlinear time series: Stationarity, estimation and applications. Inf. Sci. 438: 46-57 (2018) - [j2]Min Gan, C. L. Philip Chen, Guang-Yong Chen, Long Chen:
On Some Separated Algorithms for Separable Nonlinear Least Squares Problems. IEEE Trans. Cybern. 48(10): 2866-2874 (2018) - [j1]Guang-Yong Chen, Min Gan, C. L. Philip Chen, Long Chen:
A Two-Stage Estimation Algorithm Based on Variable Projection Method for GPS Positioning. IEEE Trans. Instrum. Meas. 67(11): 2518-2525 (2018)
Conference and Workshop Papers
- 2024
- [c3]Yu-Bin Liu, Jian-Nan Su, Guang-Yong Chen, Yi-Gang Zhao:
Weighted Adaptive Clustering Attention for Efficient Image Super-Resolution. IJCNN 2024: 1-8 - [c2]Yi-Gang Zhao, Jian-Nan Su, Guang-Yong Chen, Yu-Bin Liu:
Decoupled Non-Local Attention for Single Image Super-Resolution. IJCNN 2024: 1-8 - 2021
- [c1]Min Xu, Fenggen Lin, Guang-Yong Chen, Min Gan:
Accelerating variable projection algorithm by Aitken technique. SPAC 2021: 596-600
Informal and Other Publications
- 2023
- [i4]Guang-Yong Chen, Yong-Hang Yu, Min Gan, C. L. Philip Chen, Wenzhong Guo:
Properties and Potential Applications of Random Functional-Linked Types of Neural Networks. CoRR abs/2304.00957 (2023) - [i3]Min Gan, Xiang-Xiang Su, Guang-Yong Chen, Jing Chen:
Online Learning Under A Separable Stochastic Approximation Framework. CoRR abs/2305.07484 (2023) - [i2]Jian-Nan Su, Min Gan, Guang-Yong Chen, Wenzhong Guo, C. L. Philip Chen:
High-Similarity-Pass Attention for Single Image Super-Resolution. CoRR abs/2305.15768 (2023) - 2022
- [i1]Jian-Nan Su, Min Gan, Guang-Yong Chen, Jia-Li Yin, C. L. Philip Chen:
Global Learnable Attention for Single Image Super-Resolution. CoRR abs/2212.01057 (2022)
Coauthor Index
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