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2020 – today
- 2024
[j74]Jing Chen, Yanjun Liu, Min Gan, Quanmin Zhu:
Sequential stabilizing spline algorithm for linear systems: Eigenvalue approximation and polishing. Autom. 159: 111313 (2024)- [j73]Shuteng Hu, Guodong Fan
, Jingchun Zhou, Jinfu Fan, Min Gan, C. L. Philip Chen:
Hybrid network via key feature fusion for image restoration. Eng. Appl. Artif. Intell. 137: 109236 (2024) - [j72]Xuwen Li, Min Gan, Jian-Nan Su, Guang-Yong Chen:
Efficient Moiré pattern removal with lightweight multi-scale feature extraction. J. Electronic Imaging 33(2) (2024) - [j71]Shuteng Hu, Zheng Cheng, Guodong Fan, Min Gan, C. L. Philip Chen:
Texture-aware and color-consistent learning for underwater image enhancement. J. Vis. Commun. Image Represent. 98: 104051 (2024) - [j70]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) - [j69]Wang Li, Guodong Fan, Min Gan:
Progressive encoding-decoding image dehazing network. Multim. Tools Appl. 83(3): 7657-7679 (2024) - [j68]Jian-Nan Su, Guodong Fan, Min Gan, Guang-Yong Chen, Wenzhong Guo, C. L. Philip Chen:
Revealing the Dark Side of Non-Local Attention in Single Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11476-11490 (2024) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]Zishu Yao, Guodong Fan, Jinfu Fan, Min Gan, C. L. Philip Chen:
Spatial-Frequency Dual-Domain Feature Fusion Network for Low-Light Remote Sensing Image Enhancement. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j62]Zishu Yao, Jian-Nan Su, Guodong Fan, Min Gan, C. L. Philip Chen:
GACA: A Gradient-Aware and Contrastive-Adaptive Learning Framework for Low-Light Image Enhancement. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j61]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) - [j60]Guodong Fan, Min Gan, Bi Fan, C. L. Philip Chen:
Multiscale Cross-Connected Dehazing Network With Scene Depth Fusion. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1598-1612 (2024) - [j59]Ling-Li Zeng, Zhipeng Fan, Jianpo Su, Min Gan, Limin Peng, Hui Shen, Dewen Hu:
Gradient Matching Federated Domain Adaptation for Brain Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7405-7419 (2024) - [j58]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) - [j57]Yuhan Zhu, Genggeng Liu, Ren Lu, Xing Huang, Min Gan, Wenzhong Guo:
Timing-Driven Obstacle-Avoiding X-Architecture Steiner Minimum Tree Algorithm With Slack Constraints. IEEE Trans. Syst. Man Cybern. Syst. 54(5): 2927-2940 (2024) - [j56]Genggeng Liu, Yuhan Zhu, Zhen Zhuang, Zhenyu Pei, Min Gan, Xing Huang, Wenzhong Guo:
A Robust Multilayer X-Architecture Global Routing System Based on Particle Swarm Optimization. IEEE Trans. Syst. Man Cybern. Syst. 54(9): 5627-5640 (2024) - [i8]Zishu Yao, Guodong Fan, Jinfu Fan, Min Gan, C. L. Philip Chen:
Spatial-frequency Dual-Domain Feature Fusion Network for Low-Light Remote Sensing Image Enhancement. CoRR abs/2404.17400 (2024) - [i7]Zheng Cheng, Guodong Fan, Jingchun Zhou, Min Gan, C. L. Philip Chen:
FDCE-Net: Underwater Image Enhancement with Embedding Frequency and Dual Color Encoder. CoRR abs/2404.17936 (2024) - 2023
- [j55]Yan Guo, Xijun Lai, Min Gan:
Cyanobacterial biomass prediction in a shallow lake using the time series SARIMAX models. Ecol. Informatics 78: 102292 (2023) - [j54]Li Zhang, Lingbin Jin, Min Gan, Lei Zhao, Hongwei Yin:
Reinforced feature selection using Q-learning based on collaborative agents. Int. J. Mach. Learn. Cybern. 14(11): 3867-3882 (2023) - [j53]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) - [j52]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) - [j51]Jing Chen, Yawen Mao, Min Gan, Dongqing Wang, Quanmin Zhu:
Greedy Search Method for Separable Nonlinear Models Using Stage Aitken Gradient Descent and Least Squares Algorithms. IEEE Trans. Autom. Control. 68(8): 5044-5051 (2023) - [j50]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) - [j49]Senrong You, Baiying Lei, Shuqiang Wang, Charles K. Chui, Albert C. Cheung, Yong Liu, Min Gan, Guo-Cheng Wu, Yanyan Shen:
Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8802-8814 (2023) - [c14]Chen Chen, Donghua Zhao, Yao Wu, Yanhao Zheng, Yu Deng, Xiangxiang Zhang, Min Gan, Xijun Lai:
A Two-Dimensional Numerical Model for Surface Flows with Flexible Vegetation. MMBD 2023: 420-426 - [i6]Jinyang Wang, Tao Wang, Min Gan, George C. Hadjichristofi:
Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking. CoRR abs/2301.05858 (2023) - [i5]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) - [i4]Min Gan, Xiang-Xiang Su, Guang-Yong Chen, Jing Chen:
Online Learning Under A Separable Stochastic Approximation Framework. CoRR abs/2305.07484 (2023) - [i3]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
- [j48]Jing Chen, Yawen Mao, Min Gan, Feng Ding:
Adaptive regularised kernel-based identification method for large-scale systems with unknown order. Autom. 143: 110437 (2022) - [j47]Ting Sun, Guodong Fan, Min Gan:
Fractal pyramid low-light image enhancement network with illumination information. J. Electronic Imaging 31(4) (2022) - [j46]Lingling Fu, Guodong Fan, Min Gan:
Multiscale image dehazing network based on spatially weighted sparse representation. J. Electronic Imaging 31(6) (2022) - [j45]Mingming Tan, Jiayi Fan, Guodong Fan, Min Gan:
Low-light image enhancement via multistage feature fusion network. J. Electronic Imaging 31(6) (2022) - [j44]Jing Chen, Junxia Ma, Min Gan, Quanmin Zhu:
Multidirection Gradient Iterative Algorithm: A Unified Framework for Gradient Iterative and Least Squares Algorithms. IEEE Trans. Autom. Control. 67(12): 6770-6777 (2022) - [j43]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) - [j42]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) - [j41]Jing Chen, Min Gan, Quanmin Zhu, Pritesh Narayan, Yanjun Liu:
Robust Standard Gradient Descent Algorithm for ARX Models Using Aitken Acceleration Technique. IEEE Trans. Cybern. 52(9): 9646-9655 (2022) - [j40]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) - [j39]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) - [j38]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) - [j37]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) - [c13]Jinyang Wang, Tao Wang, Min Gan, George Hadjichristofi:
Robust Remote Sensing Scene Classification with Multi-view Voting and Entropy Ranking. ML4CS (1) 2022: 87-98 - [i2]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) - 2021
- [j36]Min Gan, Li Zhang:
Iteratively local fisher score for feature selection. Appl. Intell. 51(8): 6167-6181 (2021) - [j35]Jing Chen, Biao Huang, Min Gan, C. L. Philip Chen:
A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace. Autom. 129: 109663 (2021) - [j34]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) - [j33]Huan Xu, Feng Ding, Min Gan, Ahmed Alsaedi, Tasawar Hayat:
Parameter estimation for an exponential autoregressive time series model by the Newton search and multi-innovation theory. Int. J. Syst. Sci. 52(12): 2630-2645 (2021) - [j32]Shuqiang Wang, Xiangyu Wang, Yong Hu, Yanyan Shen, Zhile Yang, Min Gan, Baiying Lei:
Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision. IEEE Trans Autom. Sci. Eng. 18(2): 574-585 (2021) - [j31]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) - [j30]Feng Zhou, Min Gan, C. L. Philip Chen:
Robust Model Predictive Control Algorithm With Variable Feedback Gains for Output Tracking. IEEE Trans. Ind. Electron. 68(5): 4228-4237 (2021) - [j29]Jing Chen, Min Gan, Quanmin Zhu, Yawen Mao:
Varying Infimum Gradient Descent Algorithm for Agent-Server Systems With Uncertain Communication Network. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j28]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) - [j27]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) - [c12]Min Gan, Li Zhang:
Q-Learning with Fisher Score for Feature Selection of Large-Scale Data Sets. KSEM 2021: 306-318 - [c11]Min Xu, Fenggen Lin, Guang-Yong Chen, Min Gan:
Accelerating variable projection algorithm by Aitken technique. SPAC 2021: 596-600 - [i1]Bowen Hu, Baiying Lei, Yong Liu, Min Gan, Bingchuan Wang, Shuqiang Wang:
3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image. CoRR abs/2107.11010 (2021) - 2020
- [j26]Dongqing Wang, Shuo Zhang, Min Gan, Jianlong Qiu:
A Novel EM Identification Method for Hammerstein Systems With Missing Output Data. IEEE Trans. Ind. Informatics 16(4): 2500-2508 (2020) - [j25]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)
2010 – 2019
- 2019
- [j24]Yin-Ping Zhao, Long Chen, Min Gan, C. L. Philip Chen:
Multiple Kernel Fuzzy Clustering With Unsupervised Random Forests Kernel and Matrix-Induced Regularization. IEEE Access 7: 3967-3979 (2019) - [j23]Tianjun Li, Long Chen, Min Gan:
Quality control of imbalanced mass spectra from isotopic labeling experiments. BMC Bioinform. 20(1): 549:1-549:12 (2019) - [j22]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) - [j21]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) - [j20]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
- [j19]Zhijun Zhang, Zheng Fu, Lunan Zheng, Min Gan:
Convergence and Robustness Analysis of the Exponential-Type Varying Gain Recurrent Neural Network for Solving Matrix-Type Linear Time-Varying Equation. IEEE Access 6: 57160-57171 (2018) - [j18]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) - [j17]Shigang Liu, Honghua Dai, Min Gan:
Information-decomposition-model-based missing value estimation for not missing at random dataset. Int. J. Mach. Learn. Cybern. 9(1): 85-95 (2018) - [j16]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) - [j15]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) - 2016
- [j14]Min Gan, Long Chen, Chun-Yang Zhang, Hui Peng:
A Self-Organizing State Space Type Microstructure Model for Financial Asset Allocation. IEEE Access 4: 8035-8043 (2016) - [j13]Min Gan, C. L. Philip Chen, Long Chen, Chun-Yang Zhang:
Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series. Int. J. Syst. Sci. 47(8): 1868-1876 (2016) - 2015
- [j12]Min Gan, C. L. Philip Chen, Han-Xiong Li, Long Chen:
Gradient Radial Basis Function Based Varying-Coefficient Autoregressive Model for Nonlinear and Nonstationary Time Series. IEEE Signal Process. Lett. 22(7): 809-812 (2015) - [j11]Min Gan, Han-Xiong Li, Hui Peng:
A Variable Projection Approach for Efficient Estimation of RBF-ARX Model. IEEE Trans. Cybern. 45(3): 476-485 (2015) - [j10]C. L. Philip Chen, Chun-Yang Zhang, Long Chen, Min Gan:
Fuzzy Restricted Boltzmann Machine for the Enhancement of Deep Learning. IEEE Trans. Fuzzy Syst. 23(6): 2163-2173 (2015) - 2014
- [j9]Min Gan, Yu Cheng, Kai Liu, Gang-lin Zhang:
Seasonal and trend time series forecasting based on a quasi-linear autoregressive model. Appl. Soft Comput. 24: 13-18 (2014) - [j8]Min Gan, Honghua Dai:
Detecting and monitoring abrupt emergences and submergences of episodes over data streams. Inf. Syst. 39: 277-289 (2014) - [j7]Min Gan, Han-Xiong Li:
An Efficient Variable Projection Formulation for Separable Nonlinear Least Squares Problems. IEEE Trans. Cybern. 44(5): 707-711 (2014) - 2013
- [c10]Shigang Liu, Min Gan, Honghua Dai:
A hybrid approach to fuzzy risk analysis in stock market. FSKD 2013: 295-298 - 2012
- [j6]Min Gan, Hui Peng:
Stability analysis of RBF network-based state-dependent autoregressive model for nonlinear time series. Appl. Soft Comput. 12(1): 174-181 (2012) - [j5]Min Gan, Hui Peng, Liyuan Chen:
A global-local optimization approach to parameter estimation of RBF-type models. Inf. Sci. 197: 144-160 (2012) - [j4]Geng Zhang, Han-Xiong Li, Min Gan:
Design a Wind Speed Prediction Model Using Probabilistic Fuzzy System. IEEE Trans. Ind. Informatics 8(4): 819-827 (2012) - [c9]Honghua Dai, Sarah Keble-Johnston, Min Gan:
Reliable Knowledge Discovery with a Minimal Causal Model Inducer. ICDM Workshops 2012: 629-634 - [c8]Xueping Dong, Min Gan, Zhaobi Chu:
Robust Control for a Class of Distributed Parameter Switched Systems with Time-Delay. ICDMA 2012: 740-744 - 2011
- [j3]Fangyan Nie, Chao Gao, Yongcai Guo, Min Gan:
Two-dimensional minimum local cross-entropy thresholding based on co-occurrence matrix. Comput. Electr. Eng. 37(5): 757-767 (2011) - [c7]Min Gan, Honghua Dai:
Quantitatively Evaluating the Effects of Price Promotions Using Data Mining. ISD 2011: 485-497 - [c6]Min Gan, Honghua Dai:
Fast Mining of Non-derivable Episode Rules in Complex Sequences. MDAI 2011: 67-78 - 2010
- [j2]Min Gan, Hui Peng, Xiaoyan Peng, Xiaohong Chen, Garba Inoussa:
An adaptive decision maker for constrained evolutionary optimization. Appl. Math. Comput. 215(12): 4172-4184 (2010) - [j1]Min Gan, Hui Peng, Xiaoyan Peng, Xiaohong Chen, Garba Inoussa:
A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling. Inf. Sci. 180(22): 4370-4383 (2010) - [c5]Min Gan, Hui Peng:
A hybrid approach for parameter optimization of RBF-AR model. CDC 2010: 4423-4428 - [c4]Min Gan, Honghua Dai:
A Study on the Accuracy of Frequency Measures and Its Impact on Knowledge Discovery in Single Sequences. ICDM Workshops 2010: 859-866
2000 – 2009
- 2009
- [c3]Min Gan, Honghua Dai:
Efficient Mining of Top-k Breaker Emerging Subgraph Patterns from Graph Datasets. AusDM 2009: 183-192 - 2007
- [c2]Hui Peng, Genshiro Kitagawa, Yoshiyasu Tamura, Yoko Tanokura, Min Gan, Xiaohong Chen:
Detection of low-frequency large-amplitude jump in financial time series. CDC 2007: 4944-4949 - 2005
- [c1]Min Gan, Mingyi Zhang, Shenwen Wang:
Extended Negative Association Rules and the Corresponding Mining Algorithm. ICMLC 2005: 159-168
Coauthor Index
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