Min Gan

According to our database, Min Gan authored at least 76 papers between 2005 and 2024.

Collaborative distances:

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

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

Multiscale Cross-Connected Dehazing Network With Scene Depth Fusion.

Guodong Fan, Min Gan, Bi Fan, C. L. Philip Chen

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

Progressive encoding-decoding image dehazing network.

Wang Li, Guodong Fan, Min Gan

Multim. Tools Appl., January, 2024

Sequential stabilizing spline algorithm for linear systems: Eigenvalue approximation and polishing.

Jing Chen, Yanjun Liu, Min Gan, Quanmin Zhu

Autom., January, 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

GACA: A Gradient-Aware and Contrastive-Adaptive Learning Framework for Low-Light Image Enhancement.

Zishu Yao, Jian-Nan Su, Guodong Fan, Min Gan, C. L. Philip Chen

IEEE Trans. Instrum. Meas., 2024

2023

Cyanobacterial biomass prediction in a shallow lake using the time series SARIMAX models.

Yan Guo, Xijun Lai, Min Gan

Ecol. Informatics, December, 2023

Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain.

Senrong You, Baiying Lei, Shuqiang Wang, Charles K. Chui, Albert C. Cheung, Yong Liu, Min Gan, Guo-Cheng Wu, Yanyan Shen

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Reinforced feature selection using Q-learning based on collaborative agents.

Li Zhang, Lingbin Jin, Min Gan, Lei Zhao, Hongwei Yin

Int. J. Mach. Learn. Cybern., November, 2023

Greedy Search Method for Separable Nonlinear Models Using Stage Aitken Gradient Descent and Least Squares Algorithms.

Jing Chen, Yawen Mao, Min Gan, Dongqing Wang, Quanmin Zhu

IEEE Trans. Autom. Control., August, 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

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

Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking.

Jinyang Wang, Tao Wang, Min Gan, George C. Hadjichristofi

CoRR, 2023

A Two-Dimensional Numerical Model for Surface Flows with Flexible Vegetation.

Chen Chen, Donghua Zhao, Yao Wu, Yanhao Zheng, Yu Deng, Xiangxiang Zhang, Min Gan, Xijun Lai

Proceedings of the Modern Management Based on Big Data IV, 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

Robust Standard Gradient Descent Algorithm for ARX Models Using Aitken Acceleration Technique.

Jing Chen, Min Gan, Quanmin Zhu, Pritesh Narayan, Yanjun Liu

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

Multidirection Gradient Iterative Algorithm: A Unified Framework for Gradient Iterative and Least Squares Algorithms.

Jing Chen, Junxia Ma, Min Gan, Quanmin Zhu

IEEE Trans. Autom. Control., 2022

Adaptive regularised kernel-based identification method for large-scale systems with unknown order.

Jing Chen, Yawen Mao, Min Gan, Feng Ding

Autom., 2022

Robust Remote Sensing Scene Classification with Multi-view Voting and Entropy Ranking.

Jinyang Wang, Tao Wang, Min Gan, George Hadjichristofi

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 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

Varying Infimum Gradient Descent Algorithm for Agent-Server Systems With Uncertain Communication Network.

Jing Chen, Min Gan, Quanmin Zhu, Yawen Mao

IEEE Trans. Instrum. Meas., 2021

Robust Model Predictive Control Algorithm With Variable Feedback Gains for Output Tracking.

Feng Zhou, Min Gan, C. L. Philip Chen

IEEE Trans. Ind. Electron., 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

Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision.

Shuqiang Wang, Xiangyu Wang, Yong Hu, Yanyan Shen, Zhile Yang, Min Gan, Baiying Lei

IEEE Trans Autom. Sci. Eng., 2021

Parameter estimation for an exponential autoregressive time series model by the Newton search and multi-innovation theory.

Huan Xu, Feng Ding, Min Gan, Ahmed Alsaedi, Tasawar Hayat

Int. J. Syst. Sci., 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

3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image.

Bowen Hu, Baiying Lei, Yong Liu, Min Gan, Bingchuan Wang, Shuqiang Wang

CoRR, 2021

A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace.

Jing Chen, Biao Huang, Min Gan, C. L. Philip Chen

Autom., 2021

Iteratively local fisher score for feature selection.

Min Gan, Li Zhang

Appl. Intell., 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

Q-Learning with Fisher Score for Feature Selection of Large-Scale Data Sets.

Min Gan, Li Zhang

Proceedings of the Knowledge Science, Engineering and Management, 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

A Novel EM Identification Method for Hammerstein Systems With Missing Output Data.

Dongqing Wang, Shuo Zhang, Min Gan, Jianlong Qiu

IEEE Trans. Ind. Informatics, 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

Quality control of imbalanced mass spectra from isotopic labeling experiments.

Tianjun Li, Long Chen, Min Gan

BMC Bioinform., 2019

Multiple Kernel Fuzzy Clustering With Unsupervised Random Forests Kernel and Matrix-Induced Regularization.

Yin-Ping Zhao, Long Chen, Min Gan, C. L. Philip Chen

IEEE Access, 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

Information-decomposition-model-based missing value estimation for not missing at random dataset.

Shigang Liu, Honghua Dai, Min Gan

Int. J. Mach. Learn. Cybern., 2018

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

Guang-Yong Chen, Min Gan, Guolong Chen

Inf. Sci., 2018

Convergence and Robustness Analysis of the Exponential-Type Varying Gain Recurrent Neural Network for Solving Matrix-Type Linear Time-Varying Equation.

Zhijun Zhang, Zheng Fu, Lunan Zheng, Min Gan

IEEE Access, 2018

2016

Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series.

Min Gan, C. L. Philip Chen, Long Chen, Chun-Yang Zhang

Int. J. Syst. Sci., 2016

A Self-Organizing State Space Type Microstructure Model for Financial Asset Allocation.

Min Gan, Long Chen, Chun-Yang Zhang, Hui Peng

IEEE Access, 2016

2015

Fuzzy Restricted Boltzmann Machine for the Enhancement of Deep Learning.

C. L. Philip Chen, Chun-Yang Zhang, Long Chen, Min Gan

IEEE Trans. Fuzzy Syst., 2015

A Variable Projection Approach for Efficient Estimation of RBF-ARX Model.

Min Gan, Han-Xiong Li, Hui Peng

IEEE Trans. Cybern., 2015

Gradient Radial Basis Function Based Varying-Coefficient Autoregressive Model for Nonlinear and Nonstationary Time Series.

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

IEEE Signal Process. Lett., 2015

2014

An Efficient Variable Projection Formulation for Separable Nonlinear Least Squares Problems.

Min Gan, Han-Xiong Li

IEEE Trans. Cybern., 2014

Detecting and monitoring abrupt emergences and submergences of episodes over data streams.

Min Gan, Honghua Dai

Inf. Syst., 2014

Seasonal and trend time series forecasting based on a quasi-linear autoregressive model.

Min Gan, Yu Cheng, Kai Liu, Gang-lin Zhang

Appl. Soft Comput., 2014

2013

A hybrid approach to fuzzy risk analysis in stock market.

Shigang Liu, Min Gan, Honghua Dai

Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

2012

Design a Wind Speed Prediction Model Using Probabilistic Fuzzy System.

Geng Zhang, Han-Xiong Li, Min Gan

IEEE Trans. Ind. Informatics, 2012

A global-local optimization approach to parameter estimation of RBF-type models.

Min Gan, Hui Peng, Liyuan Chen

Inf. Sci., 2012

Stability analysis of RBF network-based state-dependent autoregressive model for nonlinear time series.

Min Gan, Hui Peng

Appl. Soft Comput., 2012

Robust Control for a Class of Distributed Parameter Switched Systems with Time-Delay.

Xueping Dong, Min Gan, Zhaobi Chu

Proceedings of the Third International Conference on Digital Manufacturing & Automation, 2012

Reliable Knowledge Discovery with a Minimal Causal Model Inducer.

Honghua Dai, Sarah Keble-Johnston, Min Gan

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

Two-dimensional minimum local cross-entropy thresholding based on co-occurrence matrix.

Fangyan Nie, Chao Gao, Yongcai Guo, Min Gan

Comput. Electr. Eng., 2011

Fast Mining of Non-derivable Episode Rules in Complex Sequences.

Min Gan, Honghua Dai

Proceedings of the Modeling Decision for Artificial Intelligence, 2011

Quantitatively Evaluating the Effects of Price Promotions Using Data Mining.

Min Gan, Honghua Dai

Proceedings of the Information Systems Development, Reflections, Challenges and New Directions [Proceedings of ISD 2011, Heriot-Watt University, Edinburgh, Scotland, UK, August 24, 2011

2010

A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling.

Min Gan, Hui Peng, Xiaoyan Peng, Xiaohong Chen, Garba Inoussa

Inf. Sci., 2010

An adaptive decision maker for constrained evolutionary optimization.

Min Gan, Hui Peng, Xiaoyan Peng, Xiaohong Chen, Garba Inoussa

Appl. Math. Comput., 2010

A Study on the Accuracy of Frequency Measures and Its Impact on Knowledge Discovery in Single Sequences.

Min Gan, Honghua Dai

Proceedings of the ICDMW 2010, 2010

A hybrid approach for parameter optimization of RBF-AR model.

Min Gan, Hui Peng

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

Efficient Mining of Top-k Breaker Emerging Subgraph Patterns from Graph Datasets.

Min Gan, Honghua Dai

Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

2007

Detection of low-frequency large-amplitude jump in financial time series.

Hui Peng, Genshiro Kitagawa, Yoshiyasu Tamura, Yoko Tanokura, Min Gan, Xiaohong Chen

Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2005

Extended Negative Association Rules and the Corresponding Mining Algorithm.

Min Gan, Mingyi Zhang, Shenwen Wang

Proceedings of the Advances in Machine Learning and Cybernetics, 2005