Guang-Yong Chen

According to our database, Guang-Yong Chen authored at least 65 papers between 2018 and 2026.

Collaborative distances:

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

2026

Anatomy-Aware Text-Visual Fusion with Dual-Perspective Prompts for Fine-Grained Lumbar Spine Segmentation.

Sheng Lian, Jianlong Cai, Dengfeng Pan, Guang-Yong Chen, Hao Xu, Fan Zhang, Guodong Fan, Jialun Pei, Shuo Li

Int. J. Comput. Vis., May, 2026

BiEvLight: Bi-level Learning of Task-Aware Event Refinement for Low-Light Image Enhancement.

Zishu Yao, Xiang-Xiang Su, Shengning Zhou, Guang-Yong Chen, Guodong Fan, Xing Chen

CoRR, March, 2026

SAFAformer: Scale-Aware Frequency-Adaptive Guidance for Nighttime Flare Removal.

Wei Dong, Guodong Fan, Fan Zhang, Min Gan, Guang-Yong Chen, C. L. Philip Chen

IEEE Trans. Circuits Syst. Video Technol., January, 2026

DCD-UIE: Decoupled Chromatic Diffusion Model for Underwater Image Enhancement.

Guodong Fan, Yu Zhou, Jingchun Zhou, Yakun Ju, Guang-Yong Chen, Jinjiang Li, Alex ChiChung Kot

IEEE Trans. Image Process., 2026

Riemannian Acceleration for Sparse PCA With Separable Structure and Second-Order Information Exploration.

Guang-Yong Chen, Hui-Lang Xu, Xiang-Xiang Su, Min Gan, Xing Chen, C. L. Philip Chen

IEEE Trans. Image Process., 2026

SP-UIQA: Fusion segmentation priors and multi-scale features for underwater image quality assessment.

Jingchun Zhou, Wenbo Guo, Dehuan Zhang, Guang-Yong Chen, Qiuping Jiang, Ghulam Muhammad

Inf. Fusion, 2026

Learning view-adaptive implicit regularization for robust multi-view subspace clustering.

Guang-Yong Chen, Simin Chen, Hui-Lang Xu, Min Gan

Neurocomputing, 2026

ICH-ASNet: Automatic Prompt-based segmentation for intracranial hemorrhage in CT images.

Tianzong Nie, Guang-Yong Chen, Min Gan

Expert Syst. Appl., 2026

Adaptive load forecasting under regional distribution shifts: A meta-learning framework.

Fang Yuan, Hongxia Zhou, Liwen Tang, Feiyan Chen, Guang-Yong Chen, Min Gan

Eng. Appl. Artif. Intell., 2026

Bridging Optimization and Neural Networks for Efficient Multi-view Clustering.

Hui-Lang Xu, Xiang-Xiang Su, Simin Chen, Guang-Yong Chen, Xing Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Saddle Point Remedy: Power of Variable Elimination in Non-convex Optimization.

Min Gan, Guang-Yong Chen, Yang Yi, Lin Yang

CoRR, November, 2025

Wavelet-Guided Dual-Frequency Encoding for Remote Sensing Change Detection.

Xiaoyang Zhang, Guodong Fan, Guang-Yong Chen, Zhen Hua, Jinjiang Li, Min Gan, C. L. Philip Chen

CoRR, August, 2025

Real-World Image Reflection Removal: An Ultra-High-Definition Dataset and an Efficient Baseline.

Guang-Yong Chen, Chao-Wei Zheng, Guodong Fan, Jian-Nan Su, Min Gan, C. L. Philip Chen

IEEE Trans. Circuits Syst. Video Technol., May, 2025

LPFSformer: Location Prior Guided Frequency and Spatial Interactive Learning for Nighttime Flare Removal.

Guang-Yong Chen, Wei Dong, Guodong Fan, Jian-Nan Su, Min Gan, C. L. Philip Chen

IEEE Trans. Circuits Syst. Video Technol., April, 2025

ATM-Net: Anatomy-Aware Text-Guided Multi-Modal Fusion for Fine-Grained Lumbar Spine Segmentation.

Sheng Lian, Dengfeng Pan, Jianlong Cai, Guang-Yong Chen, Zhun Zhong, Zhiming Luo, Shen Zhao, Shuo Li

CoRR, April, 2025

Online Learning Under a Separable Stochastic Approximation Framework.

Min Gan, Xiang-Xiang Su, Guang-Yong Chen, Jing Chen, C. L. Philip Chen

IEEE Trans. Pattern Anal. Mach. Intell., February, 2025

Efficient High-Frequency Texture Recovery Diffusion Model for Remote Sensing Image Super-Resolution.

Wu-Ding Weng, Chao-Wei Zheng, Jian-Nan Su, Guang-Yong Chen, Min Gan

IEEE Trans. Instrum. Meas., 2025

Excavate the Potential of Single-Scale Features: A Decomposition Network for Water-Related Optical Image Enhancement.

Zheng Cheng, Wenri Wang, Guang-Yong Chen, Yakun Ju, Yihua Cheng, Zhisong Liu, Yanda Meng, Jintao Song

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Moving Average-Based Variable Projection for Separable Nonlinear Problems.

Peng Xue, Min Gan, Fang Yuan, Guang-Yong Chen, C. L. Philip Chen

IEEE Signal Process. Lett., 2025

An Efficient Decoupled Optimization Algorithm for a Class of Regression Models.

Guang-Yong Chen, Yi Liao, Xiang-Xiang Su, Min Gan, C. L. Philip Chen

IEEE Signal Process. Lett., 2025

Adaptive decoupled strategy for robust and efficient low-rank matrix decomposition.

Min Gan, Peng Xue, Fan Zhang, Xiang-Xiang Su, Xin Lin, Guang-Yong Chen

Neurocomputing, 2025

Knowledge-prompted intracranial hemorrhage segmentation on brain computed tomography.

Tianzong Nie, Feiyan Chen, Jian-Nan Su, Guang-Yong Chen, Min Gan

Expert Syst. Appl., 2025

Variable Projection algorithms: Theoretical insights and a novel approach for problems with large residual.

Guang-Yong Chen, Peng Xue, Min Gan, Jing Chen, Wenzhong Guo, C. L. Philip Chen

Autom., 2025

TSSA-Net: A Temporal-Spiking-Spatial-Attention Network for Frequency-Aware and Robust Time Series Forecasting.

Yuqing Wang, Fang Yuan, Guang-Yong Chen, Min Gan

Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Advancing Fine-Grained Spine Segmentation Through Visual-Language Model with Omni- and Pixel-Level Semantic Enhancements.

Jianlong Cai, Sheng Lian, Dengfeng Pan, Guang-Yong Chen, Lei Li, Zhiming Luo, Shuo Li

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

CoA: Towards Real Image Dehazing via Compression-and-Adaptation.

Long Ma, Yuxin Feng, Yan Zhang, Jinyuan Liu, Weimin Wang, Guang-Yong Chen, Chengpei Xu, Zhuo Su

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

IniRetinex: Rethinking Retinex-type Low-Light Image Enhancer via Initialization Perspective.

Guodong Fan, Zishu Yao, Guang-Yong Chen, Jian-Nan Su, Min Gan

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

IFKMHC: Implicit Fuzzy K-Means Model for High-Dimensional Data Clustering.

Zhaoyin Shi, Long Chen, Weiping Ding, Xiaopin Zhong, Zongze Wu, Guang-Yong Chen, Chuanbin Zhang, Yingxu Wang, C. L. Philip Chen

IEEE Trans. Cybern., December, 2024

Revealing the Dark Side of Non-Local Attention in Single Image Super-Resolution.

Jian-Nan Su, Guodong Fan, Min Gan, Guang-Yong Chen, Wenzhong Guo, C. L. Philip Chen

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Robust Variable Projection Algorithm for the Identification of Separable Nonlinear Models.

Guang-Yong Chen, Xiang-Xiang Su, Min Gan, Wenzhong Guo, C. L. Philip Chen

IEEE Trans. Autom. Control., September, 2024

Online Identification of Nonlinear Systems With Separable Structure.

Guang-Yong Chen, Min Gan, Long Chen, C. L. Philip Chen

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Dynamic Degradation Intensity Estimation for Adaptive Blind Super-Resolution: A Novel Approach and Benchmark Dataset.

Guang-Yong Chen, Wu-Ding Weng, Jian-Nan Su, Min Gan, C. L. Philip Chen

IEEE Trans. Circuits Syst. Video Technol., June, 2024

Nonmonotone variable projection algorithms for matrix decomposition with missing data.

Xiang-Xiang Su, Min Gan, Guang-Yong Chen, Lin Yang, Jun-Wei Jin

Pattern Recognit., April, 2024

High-Similarity-Pass Attention for Single Image Super-Resolution.

Jian-Nan Su, Min Gan, Guang-Yong Chen, Wenzhong Guo, C. L. Philip Chen

IEEE Trans. Image Process., 2024

Unsupervised Degradation Aware and Representation for Real-World Remote Sensing Image Super-Resolution.

Wenzhong Guo, Wu-Ding Weng, Guang-Yong Chen, Jian-Nan Su, Min Gan, C. L. Philip Chen

IEEE Trans. Geosci. Remote. Sens., 2024

FISTA acceleration inspired network design for underwater image enhancement.

Bing-Yuan Chen, Jian-Nan Su, Guang-Yong Chen, Min Gan

J. Vis. Commun. Image Represent., 2024

Efficient learnable collaborative attention for single-image super-resolution.

Yi-Gang Zhao, Chaowei Zheng, Jian-Nan Su, Guang-Yong Chen

J. Electronic Imaging, 2024

Efficient Moiré pattern removal with lightweight multi-scale feature extraction.

Xuwen Li, Min Gan, Jian-Nan Su, Guang-Yong Chen

J. Electronic Imaging, 2024

Decoupled Non-Local Attention for Single Image Super-Resolution.

Yi-Gang Zhao, Jian-Nan Su, Guang-Yong Chen, Yu-Bin Liu

Proceedings of the International Joint Conference on Neural Networks, 2024

Weighted Adaptive Clustering Attention for Efficient Image Super-Resolution.

Yu-Bin Liu, Jian-Nan Su, Guang-Yong Chen, Yi-Gang Zhao

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Embedded Point Iteration Based Recursive Algorithm for Online Identification of Nonlinear Regression Models.

Guang-Yong Chen, Min Gan, Jing Chen, Long Chen

IEEE Trans. Autom. Control., July, 2023

Global Learnable Attention for Single Image Super-Resolution.

Jian-Nan Su, Min Gan, Guang-Yong Chen, Jia-Li Yin, C. L. Philip Chen

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Manifold Enhanced 2-D Fuzzy Subspace Clustering for Image Data.

Zhaoyin Shi, Long Chen, Guang-Yong Chen, Kai Zhao, C. L. Philip Chen

IEEE Trans. Syst. Man Cybern. Syst., 2023

A Variable Projection-Based Algorithm for Fault Detection and Diagnosis.

Guang-Yong Chen, Hui-Lang Xu, Min Gan, C. L. Philip Chen

IEEE Trans. Instrum. Meas., 2023

Online Learning Under A Separable Stochastic Approximation Framework.

Min Gan, Xiang-Xiang Su, Guang-Yong Chen, Jing Chen

CoRR, 2023

Properties and Potential Applications of Random Functional-Linked Types of Neural Networks.

Guang-Yong Chen, Yong-Hang Yu, Min Gan, C. L. Philip Chen, Wenzhong Guo

CoRR, 2023

2022

An Iterative Implementation of Variable Projection for Separable Nonlinear Optimization Problems.

Guang-Yong Chen, Min Gan, Hong-Tao Zhu, Long Chen, C. L. Philip Chen

IEEE Trans. Syst. Man Cybern. Syst., 2022

Constrained Variable Projection Optimization for Stationary RBF-AR Models.

Jia Chen, Min Gan, Guang-Yong Chen, C. L. Philip Chen

IEEE Trans. Syst. Man Cybern. Syst., 2022

Nuisance Parameter Estimation Algorithms for Separable Nonlinear Models.

Long Chen, Jia-Bing Chen, Guang-Yong Chen, Min Gan, C. L. Philip Chen

IEEE Trans. Syst. Man Cybern. Syst., 2022

Frequency Principle in Broad Learning System.

Guang-Yong Chen, Min Gan, C. L. Philip Chen, Hong-Tao Zhu, Long Chen

IEEE Trans. Neural Networks Learn. Syst., 2022

Weighted Generalized Cross-Validation-Based Regularization for Broad Learning System.

Min Gan, Hong-Tao Zhu, Guang-Yong Chen, C. L. Philip Chen

IEEE Trans. Cybern., 2022

Multiscale Low-Light Image Enhancement Network With Illumination Constraint.

Guodong Fan, Bi Fan, Min Gan, Guang-Yong Chen, C. L. Philip Chen

IEEE Trans. Circuits Syst. Video Technol., 2022

Model selection for RBF-ARX models.

Qiong-Ying Chen, Long Chen, Jian-Nan Su, Ming-Jian Fu, Guang-Yong Chen

Appl. Soft Comput., 2022

2021

Recursive Variable Projection Algorithm for a Class of Separable Nonlinear Models.

Min Gan, Yu Guan, Guang-Yong Chen, C. L. Philip Chen

IEEE Trans. Neural Networks Learn. Syst., 2021

Insights Into Algorithms for Separable Nonlinear Least Squares Problems.

Guang-Yong Chen, Min Gan, Shuqiang Wang, C. L. Philip Chen

IEEE Trans. Image Process., 2021

Basis Function Matrix-Based Flexible Coefficient Autoregressive Models: A Framework for Time Series and Nonlinear System Modeling.

Guang-Yong Chen, Min Gan, C. L. Philip Chen, Han-Xiong Li

IEEE Trans. Cybern., 2021

BFGS method based variable projection approach for image restoration.

Qiong-Ying Chen, Yun-Zhi Huang, Min Gan, C. L. Philip Chen, Guang-Yong Chen

IET Image Process., 2021

Accelerating variable projection algorithm by Aitken technique.

Min Xu, Fenggen Lin, Guang-Yong Chen, Min Gan

Proceedings of the 2021 International Conference on Security, 2021

2020

Term Selection for a Class of Separable Nonlinear Models.

Min Gan, Guang-Yong Chen, Long Chen, C. L. Philip Chen

IEEE Trans. Neural Networks Learn. Syst., 2020

2019

Modified Gram-Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models.

Guang-Yong Chen, Min Gan, Feng Ding, C. L. Philip Chen

IEEE Trans. Neural Networks Learn. Syst., 2019

A Regularized Variable Projection Algorithm for Separable Nonlinear Least-Squares Problems.

Guang-Yong Chen, Min Gan, C. L. Philip Chen, Han-Xiong Li

IEEE Trans. Autom. Control., 2019

Adaptive RBF-AR Models Based on Multi-Innovation Least Squares Method.

Min Gan, Xiao-Xian Chen, Feng Ding, Guang-Yong Chen, C. L. Philip Chen

IEEE Signal Process. Lett., 2019

2018

A Two-Stage Estimation Algorithm Based on Variable Projection Method for GPS Positioning.

Guang-Yong Chen, Min Gan, C. L. Philip Chen, Long Chen

IEEE Trans. Instrum. Meas., 2018

On Some Separated Algorithms for Separable Nonlinear Least Squares Problems.

Min Gan, C. L. Philip Chen, Guang-Yong Chen, Long Chen

IEEE Trans. Cybern., 2018

Generalized exponential autoregressive models for nonlinear time series: Stationarity, estimation and applications.

Guang-Yong Chen, Min Gan, Guolong Chen

Inf. Sci., 2018