Clonal Selection Algorithm for Dynamic Multiobjective Optimization. - Ronghua Shang; Licheng Jiao; Maoguo Gong; Bin Lu 002 (CIS (1), 2005)

Clonal Selection with Immune Dominance and Anergy Based Multiobjective Optimization. - Licheng Jiao; Maoguo Gong; Ronghua Shang; Haifeng Du; Bin Lu 002 (EMO, 2005)

Performance assessment of an artificial immune system multiobjective optimizer by two improved metrics. - Maoguo Gong; Licheng Jiao; Haifeng Du; Ronghua Shang; Bin Lu 002 (GECCO, 2005)

A Novel Clonal Selection Algorithm for Face Detection. - Wenping Ma 001; Ronghua Shang; Licheng Jiao (Australian Conference on Artificial Intelligence, 2006)

SAR Image Classification Based on Clonal Selection Algorithm. - Wenping Ma 001; Ronghua Shang (ICNC (1), 2006)

Immune Clonal MO Algorithm for ZDT Problems. - Ronghua Shang; Wenping Ma 001 (ICNC (2), 2006)

Immune Clonal MO Algorithm for 0/1 Knapsack Problems. - Ronghua Shang; Wenping Ma 001; Wei Zhang (ICNC (1), 2006)

Immune Clonal Selection Evolutionary Strategy for Constrained Optimization. - Wenping Ma 001; Licheng Jiao; Maoguo Gong; Ronghua Shang (PRICAI, 2006)

Hybrid Immune Algorithm with intelligent recombination. - Maoguo Gong; Licheng Jiao; Wenping Ma 001; Ronghua Shang (IEEE Congress on Evolutionary Computation, 2009)

Quantum-inspired evolutionary clustering algorithm based on manifold distance. - Yangyang Li 001; Hongzhu Shi; Maoguo Gong; Ronghua Shang (GEC Summit, 2009)

SAR Image Despeckling Using Edge Detection and Feature Clustering in Bandelet Domain. - Wenge Zhang; Fang Liu 001; Licheng Jiao; Biao Hou; Shuang Wang 001; Ronghua Shang (IEEE Geosci. Remote. Sens. Lett., 2010)

A Hybrid Dynamic Multi-objective Immune Optimization Algorithm Using Prediction Strategy and Improved Differential Evolution Crossover Operator. - Yajuan Ma; Ruochen Liu; Ronghua Shang (ICONIP (2), 2011)

Fast density-weighted low-rank approximation spectral clustering. - Fanhua Shang; Licheng Jiao; Jiarong Shi; Maoguo Gong; Ronghua Shang (Data Min. Knowl. Discov., 2011)

A Novel Immune Clonal Algorithm for MO Problems. - Ronghua Shang; Licheng Jiao; Fang Liu 001; Wenping Ma 001 (IEEE Trans. Evol. Comput., 2012)

A novel selection evolutionary strategy for constrained optimization. - Licheng Jiao; Lin Li 016; Ronghua Shang; Fang Liu 001; Rustam Stolkin (Inf. Sci., 2013)

A co-evolutionary multi-objective optimization algorithm based on direction vectors. - Licheng Jiao; Handing Wang; Ronghua Shang; Fang Liu 001 (Inf. Sci., 2013)

Kernel clustering using a hybrid memetic algorithm. - Yangyang Li 001; Peidao Li; Bo Wu; Licheng Jiao; Ronghua Shang (Nat. Comput., 2013)

A novel algorithm for many-objective dimension reductions: Pareto-PCA-NSGA-II. - Ronghua Shang; Kun Zhang; Licheng Jiao; Wei Fang 001; Xiangrong Zhang; Xiaolin Tian 002 (IEEE Congress on Evolutionary Computation, 2014)

A modified objective function method with feasible-guiding strategy to solve constrained multi-objective optimization problems. - Licheng Jiao; Juanjuan Luo; Ronghua Shang; Fang Liu 001 (Appl. Soft Comput., 2014)

An Improved Decomposition-Based Memetic Algorithm for Multi-Objective Capacitated Arc Routing Problem. - Ronghua Shang; Jia Wang; Licheng Jiao; Yuying Wang (Appl. Soft Comput., 2014)

Change detection in SAR images by artificial immune multi-objective clustering. - Ronghua Shang; Liping Qi; Licheng Jiao; Rustam Stolkin; Yangyang Li 001 (Eng. Appl. Artif. Intell., 2014)

A multi-population cooperative coevolutionary algorithm for multi-objective capacitated arc routing problem. - Ronghua Shang; Yuying Wang; Jia Wang; Licheng Jiao; Shuo Wang 005; Liping Qi (Inf. Sci., 2014)

Immune clonal coevolutionary algorithm for dynamic multiobjective optimization. - Ronghua Shang; Licheng Jiao; Yujing Ren; Jia Wang; Yangyang Li 001 (Nat. Comput., 2014)

Quantum immune clonal coevolutionary algorithm for dynamic multiobjective optimization. - Ronghua Shang; Licheng Jiao; Yujing Ren; Lin Li 016; Luping Wang (Soft Comput., 2014)

Quantum immune clone for solving constrained multi-objective optimization. - Ronghua Shang; Licheng Jiao; Hao Xu; Yangyang Li 001 (CEC, 2015)

A Memetic Optimization Strategy Based on Dimension Reduction in Decision Space. - Handing Wang; Licheng Jiao; Ronghua Shang; Shan He 001; Fang Liu 001 (Evol. Comput., 2015)

Overlapping community detection through an improved multi-objective quantum-behaved particle swarm optimization. - Yangyang Li 001; Yang Wang 075; Jing Chen; Licheng Jiao; Ronghua Shang (J. Heuristics, 2015)

Dynamic-context cooperative quantum-behaved particle swarm optimization based on multilevel thresholding applied to medical image segmentation. - Yangyang Li 001; Licheng Jiao; Ronghua Shang; Rustam Stolkin (Inf. Sci., 2015)

An intuitionistic fuzzy possibilistic C-means clustering based on genetic algorithm. - Ronghua Shang; Pingping Tian; Ailing Wen; Wenzhan Liu; Licheng Jiao (CEC, 2016)

On the use of immune clone optimization for unconstrained multi-objective resource allocation in the cognitive OFDMA networks. - Ronghua Shang; Weitong Zhang; Ailing Wen; Kun Zhang; Licheng Jiao (CEC, 2016)

Cultural quantum-behaved particle swarm optimization for environmental/economic dispatch. - Tianyu Liu; Licheng Jiao; Wenping Ma 001; Jingjing Ma 001; Ronghua Shang (Appl. Soft Comput., 2016)

Immune clonal algorithm based on directed evolution for multi-objective capacitated arc routing problem. - Ronghua Shang; Bingqi Du; Hongna Ma; Licheng Jiao; Yu Xue 003; Rustam Stolkin (Appl. Soft Comput., 2016)

Discrete polynary coding immune clonal selection-based joint subcarrier and power allocation in uplink cognitive OFDM network. - Ronghua Shang; Kun Zhang; Licheng Jiao; Jianshe Wu (Int. J. Commun. Syst., 2016)

Self-representation based dual-graph regularized feature selection clustering. - Ronghua Shang; Zhu Zhang; Licheng Jiao; Chiyang Liu; Yangyang Li 001 (Neurocomputing, 2016)

Circularly Searching Core Nodes Based Label Propagation Algorithm for Community Detection. - Ronghua Shang; Weitong Zhang; Licheng Jiao (Int. J. Pattern Recognit. Artif. Intell., 2016)

A new quantum-behaved particle swarm optimization based on cultural evolution mechanism for multiobjective problems. - Tianyu Liu; Licheng Jiao; Wenping Ma 001; Jingjing Ma 001; Ronghua Shang (Knowl. Based Syst., 2016)

Subspace learning-based graph regularized feature selection. - Ronghua Shang; Wenbing Wang; Rustam Stolkin; Licheng Jiao (Knowl. Based Syst., 2016)

Local Collaborative Representation With Adaptive Dictionary Selection for Hyperspectral Image Classification. - Yaoguo Zheng; Licheng Jiao; Ronghua Shang; Biao Hou; Xiangrong Zhang (IEEE Geosci. Remote. Sens. Lett., 2016)

Learning simultaneous adaptive clustering and classification via MOEA. - Juanjuan Luo; Licheng Jiao; Ronghua Shang; Fang Liu 001 (Pattern Recognit., 2016)

Global discriminative-based nonnegative spectral clustering. - Ronghua Shang; Zhu Zhang; Licheng Jiao; Wenbing Wang; Shuyuan Yang 001 (Pattern Recognit., 2016)

A study of large-scale data clustering based on fuzzy clustering. - Yangyang Li 001; Guoli Yang; Haiyang He; Licheng Jiao; Ronghua Shang (Soft Comput., 2016)

Co-evolution-based immune clonal algorithm for clustering. - Ronghua Shang; Yang Li; Licheng Jiao (Soft Comput., 2016)

Immune clonal selection algorithm for capacitated arc routing problem. - Ronghua Shang; Hongna Ma; Jia Wang; Licheng Jiao; Rustam Stolkin (Soft Comput., 2016)

A Spatial Fuzzy Clustering Algorithm With Kernel Metric Based on Immune Clone for SAR Image Segmentation. - Ronghua Shang; Pingping Tian; Licheng Jiao; Rustam Stolkin; Jie Feng 003; Biao Hou; Xiangrong Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Improved Memetic Algorithm Based on Route Distance Grouping for Multiobjective Large Scale Capacitated Arc Routing Problems. - Ronghua Shang; Kaiyun Dai; Licheng Jiao; Rustam Stolkin (IEEE Trans. Cybern., 2016)

Markov-Potts Prior Model and Fuzzy Membership Based Nonparametric SAR Image Change Detection. - Ronghua Shang; Weitong Zhang; Yijing Yuan; Licheng Jiao (BIC-TA, 2017)

Detection in SAR Images Based on Histogram and Improved Elitist Genetic Fuzzy Clustering. - Ronghua Shang; Weitong Zhang; Licheng Jiao (ICCCS (2), 2017)

A Memetic Algorithm Based on Decomposition and Extended Search for Multi-Objective Capacitated Arc Routing Problem. - Ronghua Shang; Yijing Yuan; Bingqi Du; Licheng Jiao (SEAL, 2017)

Community mining using three closely joint techniques based on community mutual membership and refinement strategy. - Ronghua Shang; Huan Liu; Licheng Jiao; Amir Masoud Ghalamzan Esfahani (Appl. Soft Comput., 2017)

Quantum-behaved particle swarm optimization with collaborative attractors for nonlinear numerical problems. - Tianyu Liu; Licheng Jiao; Wenping Ma 001; Ronghua Shang (Commun. Nonlinear Sci. Numer. Simul., 2017)

Nonnegative Matrix Factorization with Rank Regularization and Hard Constraint. - Ronghua Shang; Chiyang Liu; Yang Meng; Licheng Jiao; Rustam Stolkin (Neural Comput., 2017)

Quantum-behaved discrete multi-objective particle swarm optimization for complex network clustering. - Lingling Li 002; Licheng Jiao; Jiaqi Zhao 001; Ronghua Shang; Maoguo Gong (Pattern Recognit., 2017)

A Fast Algorithm for SAR Image Segmentation Based on Key Pixels. - Ronghua Shang; Yijing Yuan; Licheng Jiao; Biao Hou; Amir Masoud Ghalamzan Esfahani; Rustam Stolkin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

SAR Image Change Detection Based on Conditional Spatial and Kernel Fuzzy C-Means. - Weitong Zhang; Ailing Wen; Ronghua Shang; Licheng Jiao (IGARSS, 2018)

Dual-graph regularized non-negative matrix factorization with sparse and orthogonal constraints. - Yang Meng; Ronghua Shang; Licheng Jiao; Wenya Zhang; Shuyuan Yang 001 (Eng. Appl. Artif. Intell., 2018)

Feature selection based dual-graph sparse non-negative matrix factorization for local discriminative clustering. - Yang Meng; Ronghua Shang; Licheng Jiao; Wenya Zhang; Yijing Yuan; Shuyuan Yang 001 (Neurocomputing, 2018)

Quantum-Inspired Immune Clonal Algorithm for solving large-scale capacitated arc routing problems. - Ronghua Shang; Bingqi Du; Kaiyun Dai; Licheng Jiao; Amir Masoud Ghalamzan Esfahani; Rustam Stolkin (Memetic Comput., 2018)

Memetic algorithm based on extension step and statistical filtering for large-scale capacitated arc routing problems. - Ronghua Shang; Bingqi Du; Kaiyun Dai; Licheng Jiao; Yu Xue 003 (Nat. Comput., 2018)

A self-paced learning algorithm for change detection in synthetic aperture radar images. - Ronghua Shang; Yijing Yuan; Licheng Jiao; Yang Meng; Amir Masoud Ghalamzan Esfahani (Signal Process., 2018)

SAR Targets Classification Based on Deep Memory Convolution Neural Networks and Transfer Parameters. - Ronghua Shang; Jiaming Wang; Licheng Jiao; Rustam Stolkin; Biao Hou; Yangyang Li 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Non-Negative Spectral Learning and Sparse Regression-Based Dual-Graph Regularized Feature Selection. - Ronghua Shang; Wenbing Wang; Rustam Stolkin; Licheng Jiao (IEEE Trans. Cybern., 2018)

Sar Image Change Detection Based on Mean Shift Pre-Classification and Fuzzy C-Means. - Ronghua Shang; Kaize Xie; Michael Aggrey Okoth; Licheng Jiao (IGARSS, 2019)

A novel location-based DNA matching algorithm for hyperspectral image classification. - Ronghua Shang; Yuyang Lan; Licheng Jiao (Memetic Comput., 2019)

Unsupervised feature selection based on kernel fisher discriminant analysis and regression learning. - Ronghua Shang; Yang Meng; Chiyang Liu; Licheng Jiao; Amir Masoud Ghalamzan Esfahani; Rustam Stolkin (Mach. Learn., 2019)

Unsupervised feature selection based on self-representation sparse regression and local similarity preserving. - Ronghua Shang; Jiangwei Chang; Licheng Jiao; Yu Xue 003 (Int. J. Mach. Learn. Cybern., 2019)

Local discriminative based sparse subspace learning for feature selection. - Ronghua Shang; Yang Meng; Wenbing Wang; Fanhua Shang; Licheng Jiao (Pattern Recognit., 2019)

Adversarial Reconstruction-Classification Networks for PolSAR Image Classification. - Yanqiao Chen; Yangyang Li 001; Licheng Jiao; Cheng Peng 009; Xiangrong Zhang; Ronghua Shang (Remote. Sens., 2019)

Semi-Supervised PolSAR Image Classification Based on Self-Training and Superpixels. - Yangyang Li 001; Ruoting Xing; Licheng Jiao; Yanqiao Chen; Yingte Chai; Naresh Marturi; Ronghua Shang (Remote. Sens., 2019)

Complex-Valued Convolutional Autoencoder and Spatial Pixel-Squares Refinement for Polarimetric SAR Image Classification. - Ronghua Shang; Guangguang Wang; Michael A. Okoth; Licheng Jiao (Remote. Sens., 2019)

A dynamic local cluster ratio-based band selection algorithm for hyperspectral images. - Ronghua Shang; Yuyang Lan; Licheng Jiao; Rustam Stolkin (Soft Comput., 2019)

Densely Based Multi-Scale and Multi-Modal Fully Convolutional Networks for High-Resolution Remote-Sensing Image Semantic Segmentation. - Cheng Peng 009; Yangyang Li 001; Licheng Jiao; Yanqiao Chen; Ronghua Shang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Multi-objective artificial immune algorithm for fuzzy clustering based on multiple kernels. - Ronghua Shang; Weitong Zhang; Feng Li; Licheng Jiao; Rustam Stolkin (Swarm Evol. Comput., 2019)

A Deep Learning Method for Change Detection in Synthetic Aperture Radar Images. - Yangyang Li 001; Cheng Peng 009; Yanqiao Chen; Licheng Jiao; Linhao Zhou; Ronghua Shang (IEEE Trans. Geosci. Remote. Sens., 2019)

Anchor-Free Single Stage Detector in Remote Sensing Images Based on Multiscale Dense Path Aggregation Feature Pyramid Network. - Yangyang Li 001; Xuan Pei; Qin Huang 003; Licheng Jiao; Ronghua Shang; Naresh Marturi (IEEE Access, 2020)

Unsupervised EA-Based Fuzzy Clustering for Image Segmentation. - Mengxuan Zhang 003; Licheng Jiao; Ronghua Shang; Xiangrong Zhang; Lingling Li 002 (IEEE Access, 2020)

Complex network graph embedding method based on shortest path and MOEA/D for community detection. - Weitong Zhang; Ronghua Shang; Licheng Jiao (Appl. Soft Comput., 2020)

Subspace learning for unsupervised feature selection via adaptive structure learning and rank approximation. - Ronghua Shang; Kaiming Xu; Licheng Jiao (Neurocomputing, 2020)

Dense connection and depthwise separable convolution based CNN for polarimetric SAR image classification. - Ronghua Shang; Jianghai He; Jiaming Wang; Kaiming Xu; Licheng Jiao; Rustam Stolkin (Knowl. Based Syst., 2020)

Sparse and low-redundant subspace learning-based dual-graph regularized robust feature selection. - Ronghua Shang; Kaiming Xu; Fanhua Shang; Licheng Jiao (Knowl. Based Syst., 2020)

Double feature selection algorithm based on low-rank sparse non-negative matrix factorization. - Ronghua Shang; Jiuzheng Song; Licheng Jiao; Yangyang Li 001 (Int. J. Mach. Learn. Cybern., 2020)

A Multi-Level Attention Model for Remote Sensing Image Captions. - Yangyang Li 001; Shuangkang Fang; Licheng Jiao; Ruijiao Liu; Ronghua Shang (Remote. Sens., 2020)

RADet: Refine Feature Pyramid Network and Multi-Layer Attention Network for Arbitrary-Oriented Object Detection of Remote Sensing Images. - Yangyang Li 001; Qin Huang 003; Xuan Pei; Licheng Jiao; Ronghua Shang (Remote. Sens., 2020)

SAR Image Segmentation Using Region Smoothing and Label Correction. - Ronghua Shang; Junkai Lin; Licheng Jiao; Yangyang Li 001 (Remote. Sens., 2020)

Semantic Segmentation for SAR Image Based on Texture Complexity Analysis and Key Superpixels. - Ronghua Shang; Pei Peng 004; Fanhua Shang; Licheng Jiao; Yifei Shen; Rustam Stolkin (Remote. Sens., 2020)

Multi-scale Adaptive Feature Fusion Network for Semantic Segmentation in Remote Sensing Images. - Ronghua Shang; Jiyu Zhang; Licheng Jiao; Yangyang Li 001; Naresh Marturi; Rustam Stolkin (Remote. Sens., 2020)

A thumbnail-based hierarchical fuzzy clustering algorithm for SAR image segmentation. - Ronghua Shang; Chen Chen 051; Guangguang Wang; Licheng Jiao; Michael Aggrey Okoth; Rustam Stolkin (Signal Process., 2020)

Superpixel Boundary-Based Edge Description Algorithm for SAR Image Segmentation. - Ronghua Shang; Junkai Lin; Licheng Jiao; Xiaohui Yang; Yangyang Li 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Hyper-Parameter Optimization Using MARS Surrogate for Machine-Learning Algorithms. - Yangyang Li 001; Guangyuan Liu; Gao Lu; Licheng Jiao; Naresh Marturi; Ronghua Shang (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

Semi-Supervised Graph Regularized Deep NMF With Bi-Orthogonal Constraints for Data Representation. - Yang Meng; Ronghua Shang; Fanhua Shang; Licheng Jiao; Shuyuan Yang 001; Rustam Stolkin (IEEE Trans. Neural Networks Learn. Syst., 2020)

Graph Convolutional Neural Networks with Geometric and Discrimination information. - Ronghua Shang; Yang Meng; Weitong Zhang; Fanhua Shang; Licheng Jiao; Shuyuan Yang 001 (Eng. Appl. Artif. Intell., 2021)

Dual-graph convolutional network based on band attention and sparse constraint for hyperspectral band selection. - Jie Feng 003; Zhanwei Ye; Shuai Liu; Xiangrong Zhang; Jiantong Chen; Ronghua Shang; Licheng Jiao (Knowl. Based Syst., 2021)

Dual space latent representation learning for unsupervised feature selection. - Ronghua Shang; Lujuan Wang; Fanhua Shang; Licheng Jiao; Yangyang Li 001 (Pattern Recognit., 2021)

A Lightweight Keypoint-Based Oriented Object Detection of Remote Sensing Images. - Yangyang Li 001; Heting Mao; Ruijiao Liu; Xuan Pei; Licheng Jiao; Ronghua Shang (Remote. Sens., 2021)

Cross-Layer Attention Network for Small Object Detection in Remote Sensing Imagery. - Yangyang Li 001; Qin Huang 003; Xuan Pei; Yanqiao Chen; Licheng Jiao; Ronghua Shang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Multiobjective evolutionary algorithm assisted stacked autoencoder for PolSAR image classification. - Guangyuan Liu; Yangyang Li 001; Licheng Jiao; Yanqiao Chen; Ronghua Shang (Swarm Evol. Comput., 2021)

Convolutional Neural Network Based on Bandwise-Independent Convolution and Hard Thresholding for Hyperspectral Band Selection. - Jie Feng 003; Jiantong Chen; Qigong Sun; Ronghua Shang; Xianghai Cao; Xiangrong Zhang; Licheng Jiao (IEEE Trans. Cybern., 2021)

Attention Multibranch Convolutional Neural Network for Hyperspectral Image Classification Based on Adaptive Region Search. - Jie Feng 003; Xiande Wu; Ronghua Shang; Chenhong Sui; Jie Li 001; Licheng Jiao; Xiangrong Zhang (IEEE Trans. Geosci. Remote. Sens., 2021)

Efficient Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification. - Cheng Peng 009; Yangyang Li 001; Licheng Jiao; Ronghua Shang (IEEE Trans. Geosci. Remote. Sens., 2021)

Augmentation Based Synthetic Sampling and Ensemble Techniques for Imbalanced Data Classification. - Wakjira Mulugeta Asefaw; Ronghua Shang; Michael Aggrey Okoth; Licheng Jiao (ICIS, 2022)

A Directed Search Many Objective Optimization Algorithm Embodied with Kernel Clustering Strategy. - Michael Aggrey Okoth; Ronghua Shang; Weitong Zhang; Licheng Jiao (ICIS, 2022)

Spatial feature-based convolutional neural network for PolSAR image classification. - Ronghua Shang; Jiaming Wang; Licheng Jiao; Xiaohui Yang; Yangyang Li 001 (Appl. Soft Comput., 2022)

Evolutionary multiobjective overlapping community detection based on similarity matrix and node correction. - Ronghua Shang; Kejia Zhao; Weitong Zhang; Jie Feng 003; Yangyang Li 001; Licheng Jiao (Appl. Soft Comput., 2022)

Feature selection via Non-convex constraint and latent representation learning with Laplacian embedding. - Ronghua Shang; Jiarui Kong; Jie Feng 003; Licheng Jiao (Expert Syst. Appl., 2022)

Sparse and low-dimensional representation with maximum entropy adaptive graph for feature selection. - Ronghua Shang; Xinlei Zhang; Jie Feng 003; Yangyang Li 001; Licheng Jiao (Neurocomputing, 2022)

Feature selection based on non-negative spectral feature learning and adaptive rank constraint. - Ronghua Shang; Weitong Zhang; Mengyao Lu; Licheng Jiao; Yangyang Li 001 (Knowl. Based Syst., 2022)

Evolutionary neural architecture search based on evaluation correction and functional units. - Ronghua Shang; Songling Zhu; Jinhong Ren; Hangcheng Liu; Licheng Jiao (Knowl. Based Syst., 2022)

CMNet: Classification-oriented multi-task network for hyperspectral pansharpening. - Xiande Wu; Jie Feng 003; Ronghua Shang; Xiangrong Zhang; Licheng Jiao (Knowl. Based Syst., 2022)

Uncorrelated feature selection via sparse latent representation and extended OLSDA. - Ronghua Shang; Jiarui Kong; Weitong Zhang; Jie Feng 003; Licheng Jiao; Rustam Stolkin (Pattern Recognit., 2022)

Pol-NAS: A Neural Architecture Search Method With Feature Selection for PolSAR Image Classification. - Guangyuan Liu; Yangyang Li 001; Yanqiao Chen; Ronghua Shang; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

SAR Image Segmentation Based on Fisher Vector Superpixel Generation and Label Revision. - Ronghua Shang; Jiansheng Chen; Jie Feng 003; Yangyang Li 001; Licheng Jiao; Rustam Stolkin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Dynamic Immunization Node Model for Complex Networks Based on Community Structure and Threshold. - Ronghua Shang; Weitong Zhang; Licheng Jiao; Xiangrong Zhang; Rustam Stolkin (IEEE Trans. Cybern., 2022)

Deep Reinforcement Learning for Semisupervised Hyperspectral Band Selection. - Jie Feng 003; Di Li; Jing Gu; Xianghai Cao; Ronghua Shang; Xiangrong Zhang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Self-Supervised Divide-and-Conquer Generative Adversarial Network for Classification of Hyperspectral Images. - Jie Feng 003; Ning Zhao; Ronghua Shang; Xiangrong Zhang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

MANet: Multi-Scale Aware-Relation Network for Semantic Segmentation in Aerial Scenes. - Pei He; Licheng Jiao; Ronghua Shang; Shuang Wang 001; Xu Liu 006; Dou Quan; Kun Yang; Dong Zhao (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Image Classification Based on Multiscale Cross-Branch Response and Second-Order Channel Attention. - Ronghua Shang; Huidong Chang; Weitong Zhang; Jie Feng 003; Yangyang Li 001; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Region-Level SAR Image Segmentation Based on Edge Feature and Label Assistance. - Ronghua Shang; Mengmeng Liu; Licheng Jiao; Jie Feng 003; Yangyang Li 001; Rustam Stolkin (IEEE Trans. Geosci. Remote. Sens., 2022)

SAR Image Segmentation Based on Constrained Smoothing and Hierarchical Label Correction. - Ronghua Shang; Mengmeng Liu; Junkai Lin; Jie Feng 003; Yangyang Li 001; Rustam Stolkin; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Simplified Nonlocal Network Based on Adaptive Projection Attention Method for Hyperspectral Image Classification. - Ronghua Shang; Wenjie Li; Weitong Zhang; Jie Feng 003; Yangyang Li 001; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Image Classification Based on Pyramid Coordinate Attention and Weighted Self-Distillation. - Ronghua Shang; Jinhong Ren; Songling Zhu; Weitong Zhang; Jie Feng 003; Yangyang Li 001; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Multiobjective Guided Divide-and-Conquer Network for Hyperspectral Pansharpening. - Xiande Wu; Jie Feng 003; Ronghua Shang; Xiangrong Zhang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Personalized Web Page Ranking Based Graph Convolutional Network for Community Detection in Attribute Networks. - Weitong Zhang; Ronghua Shang; Zhiyuan Li; Rui Sun; Jun Du (IEEE Access, 2023)

An EMO Joint Pruning with Multiple Sub-networks: Fast and Effect. - Ronghua Shang; Songling Zhu; Licheng Jiao; Songhua Xu (CoRR, 2023)

DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap Optimizing. - Songling Zhu; Ronghua Shang; Bo Yuan; Weitong Zhang; Yangyang Li 001; Licheng Jiao (CoRR, 2023)

Adaptive graph regularization and self-expression for noise-aware feature selection. - Ronghua Shang; Haijing Chi; Yangyang Li 001; Licheng Jiao (Neurocomputing, 2023)

Unsupervised feature selection via discrete spectral clustering and feature weights. - Ronghua Shang; Jiarui Kong; Lujuan Wang; Weitong Zhang; Chao Wang 099; Yangyang Li 001; Licheng Jiao (Neurocomputing, 2023)

Large-scale community detection based on core node and layer-by-layer label propagation. - Weitong Zhang; Ronghua Shang; Licheng Jiao (Inf. Sci., 2023)

Brain-Inspired Remote Sensing Foundation Models and Open Problems: A Comprehensive Survey. - Licheng Jiao; Zhongjian Huang; Xiaoqiang Lu; Xu Liu 006; Yuting Yang 008; Jiaxuan Zhao; Jinyue Zhang; Biao Hou; Shuyuan Yang 001; Fang Liu 001; Wenping Ma 001; Lingling Li 002; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey. - Licheng Jiao; Zhongjian Huang; Xu Liu 006; Yuting Yang 008; Mengru Ma; Jiaxuan Zhao; Chao You; Biao Hou; Shuyuan Yang 001; Fang Liu 001; Wenping Ma 001; Lingling Li 002; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Reg-Superpixel Guided Convolutional Neural Network of PolSAR Image Classification Based on Feature Selection and Receptive Field Reconstruction. - Ronghua Shang; Keyao Zhu; Jie Feng 003; Chao Wang 099; Licheng Jiao; Songhua Xu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Local Community Detection Algorithm Based on Alternating Strategy of Strong Fusion and Weak Fusion. - Ronghua Shang; Weitong Zhang; Jingwen Zhang; Licheng Jiao; Yangyang Li 001; Rustam Stolkin (IEEE Trans. Cybern., 2023)

MR-Selection: A Meta-Reinforcement Learning Approach for Zero-Shot Hyperspectral Band Selection. - Jie Feng 003; Gaiqin Bai; Di Li; Xiangrong Zhang; Ronghua Shang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Multi-Complementary Generative Adversarial Networks With Contrastive Learning for Hyperspectral Image Classification. - Jie Feng 003; Zizhuo Gao; Ronghua Shang; Xiangrong Zhang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Attribute community detection based on latent representation learning and graph regularized non-negative matrix factorization. - Ronghua Shang; Weitong Zhang; Zhiyuan Li; Chao Wang 099; Licheng Jiao (Appl. Soft Comput., 2023)

RSBNet: One-shot neural architecture search for a backbone network in remote sensing image recognition. - Cheng Peng 009; Yangyang Li 001; Ronghua Shang; Licheng Jiao (Neurocomputing, 2023)

Multi-Angle Models and Lightweight Unbiased Decoding-Based Algorithm for Human Pose Estimation. - Jianghai He; Weitong Zhang; Ronghua Shang; Jie Feng 003; Licheng Jiao (Int. J. Pattern Recognit. Artif. Intell., 2023)

Multi-teacher knowledge distillation based on joint Guidance of Probe and Adaptive Corrector. - Ronghua Shang; Wenzheng Li; Songling Zhu; Licheng Jiao; Yangyang Li 001 (Neural Networks, 2023)

Evolutionary architecture search via adaptive parameter control and gene potential contribution. - Ronghua Shang; Songling Zhu; Hangcheng Liu; Teng Ma; Weitong Zhang; Jie Feng 003; Licheng Jiao; Rustam Stolkin (Swarm Evol. Comput., 2023)

BookKD: A novel knowledge distillation for reducing distillation costs by decoupling knowledge generation and learning. - Songling Zhu; Ronghua Shang; Ke Tang; Songhua Xu; Yangyang Li 001 (Knowl. Based Syst., 2023)

EQNAS: Evolutionary Quantum Neural Architecture Search for Image Classification. - Yangyang Li 001; Ruijiao Liu; Xiaobin Hao; Ronghua Shang; Peixiang Zhao; Licheng Jiao (Neural Networks, 2023)

EPT-Net: Edge Perception Transformer for 3D Medical Image Segmentation. - Jingyi Yang; Licheng Jiao; Ronghua Shang; Xu Liu 006; Ruiyang Li; Longchang Xu (IEEE Trans. Medical Imaging, 2023)

Learnable Prompts-Based Transformers for Domain Generalization of Hyperspectral Image Classification. - Baofa He; Jie Feng 003; Di Li; Ronghua Shang; Jinjian Wu; Licheng Jiao (IGARSS, 2024)

Oriented Target Detection in Remote Sensing Images Based on Multi-Scale Feature Fusion and Feature Compensation. - Jiahao Shen; Yangyang Li 001; Ruijiao Liu; Xuanwei Guo; Ronghua Shang; Licheng Jiao (IGARSS, 2024)

Enhanced Remote Sensing Instance Segmentation with Feature Fusion. - Zhiwei Tao; Yangyang Li 001; Xuanting Hao; Bin Wu; Ronghua Shang; Licheng Jiao (IGARSS, 2024)

A Dual-Branch Network for End-to-End Point-Supervised Object Detection on Remote Sensing Images. - Haotian Yan; Jie Feng 003; Junpeng Zhang 002; Ronghua Shang; Xiangrong Zhang; Licheng Jiao (IGARSS, 2024)

Domain Generalization-Aware Uncertainty Introspective Learning for 3D Point Clouds Segmentation. - Pei He; Licheng Jiao; Lingling Li 002; Xu Liu 006; Fang Liu 001; Wenping Ma 002; Shuyuan Yang 001; Ronghua Shang (ACM Multimedia, 2024)

Advanced Deep Learning Models for 6G: Overview, Opportunities, and Challenges. - Licheng Jiao; Yilin Shao; Long Sun; Fang Liu 001; Shuyuan Yang 001; Wenping Ma 001; Lingling Li 002; Xu Liu 006; Biao Hou; Xiangrong Zhang; Ronghua Shang; Yangyang Li 001; et al. (IEEE Access, 2024)

Evolutionary multi-objective overlapping community detection based on fusion of internal and external connectivity and correction of node intimacy. - Ronghua Shang; Sa Wang; Weitong Zhang; Jie Feng 003; Licheng Jiao; Rustam Stolkin (Appl. Soft Comput., 2024)

Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection. - Jie Feng 003; Xiaojian Zhong; Di Li; Weisheng Dong; Ronghua Shang; Licheng Jiao (CoRR, 2024)

S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation. - Jie Feng 003; Tianshu Zhang; Junpeng Zhang 002; Ronghua Shang; Weisheng Dong; Guangming Shi; Licheng Jiao (CoRR, 2024)

Masked Image Modeling Boosting Semi-Supervised Semantic Segmentation. - Yangyang Li 001; Xuanting Hao; Ronghua Shang; Licheng Jiao (CoRR, 2024)

Non-convex feature selection based on feature correlation representation and dual manifold optimization. - Ronghua Shang; Lizhuo Gao; Haijing Chi; Jiarui Kong; Weitong Zhang; Songhua Xu (Expert Syst. Appl., 2024)

Unsupervised feature selection method based on dual manifold learning and dual spatial latent representation. - Ronghua Shang; Chenchen Liu; Weitong Zhang; Yangyang Li 001; Songhua Xu (Expert Syst. Appl., 2024)

Balanced quantum neural architecture search. - Yangyang Li 001; Guanlong Liu; Peixiang Zhao; Ronghua Shang; Licheng Jiao (Neurocomputing, 2024)

Multi-task multi-objective evolutionary network for hyperspectral image classification and pansharpening. - Xiande Wu; Jie Feng 003; Ronghua Shang; Jinjian Wu; Xiangrong Zhang; Licheng Jiao; Paolo Gamba (Inf. Fusion, 2024)

Multi-agent deep reinforcement learning for hyperspectral band selection with hybrid teacher guide. - Jie Feng 003; Qiyang Gao; Ronghua Shang; Xianghai Cao; Gaiqin Bai; Xiangrong Zhang; Licheng Jiao (Knowl. Based Syst., 2024)

An attention-based, context-aware multimodal fusion method for sarcasm detection using inter-modality inconsistency. - Yangyang Li 001; Yuelin Li; Shihuai Zhang; Guangyuan Liu; Yanqiao Chen; Ronghua Shang; Licheng Jiao (Knowl. Based Syst., 2024)

Double-dictionary learning unsupervised feature selection cooperating with low-rank and sparsity. - Ronghua Shang; Jiuzheng Song; Lizhuo Gao; Mengyao Lu; Licheng Jiao; Songhua Xu; Yangyang Li 001 (Knowl. Based Syst., 2024)

Enhancing Remote Sensing Visual Question Answering: A Mask-Based Dual-Stream Feature Mutual Attention Network. - Yangyang Li 001; Yunfei Ma; Guangyuan Liu; Qiang Wei; Yanqiao Chen; Ronghua Shang; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2024)

Ellipse IoU Loss: Better Learning for Rotated Bounding Box Regression. - Wenjie Li; Ronghua Shang; Zihan Ju; Jie Feng 003; Songhua Xu; Weitong Zhang (IEEE Geosci. Remote. Sens. Lett., 2024)

A Scalable Target Orientation Detection Method for Remote Sensing Images Based on Improved YOLOX Algorithm. - Yangyang Li 001; Jiahao Shen; Ruijiao Liu; Xuanwei Guo; Yanqiao Chen; Ronghua Shang; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2024)

Robust feature selection via central point link information and sparse latent representation. - Jiarui Kong; Ronghua Shang; Weitong Zhang; Chao Wang 099; Songhua Xu (Pattern Recognit., 2024)

Graph embedding orthogonal decomposition: A synchronous feature selection technique based on collaborative particle swarm optimization. - Jingyu Zhong; Ronghua Shang; Songhua Xu; Yangyang Li 001 (Pattern Recognit., 2024)

DynamicKD: An effective knowledge distillation via dynamic entropy correction-based distillation for gap optimizing. - Songling Zhu; Ronghua Shang; Bo Yuan; Weitong Zhang; Wenjie Li; Yangyang Li 001; Licheng Jiao (Pattern Recognit., 2024)

An efficient evolutionary architecture search for variational autoencoder with alternating optimization and adaptive crossover. - Ronghua Shang; Hangcheng Liu; Wenzheng Li; Weitong Zhang; Teng Ma; Licheng Jiao (Swarm Evol. Comput., 2024)

CFDRM: Coarse-to-Fine Dynamic Refinement Model for Weakly Supervised Moving Vehicle Detection in Satellite Videos. - Jie Feng 003; Quanpeng Jiang; Junpeng Zhang 002; Yuping Liang; Ronghua Shang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2024)

Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classification. - Jie Feng 003; Ziyu Zhou; Ronghua Shang; Jinjian Wu; Tianshu Zhang; Xiangrong Zhang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2024)

SAR Image Segmentation Based on Complicated Region-Sensitive Adaptive Superpixel Generation and Hybrid Edge Correction. - Jinhong Ren; Ronghua Shang; Jiansheng Chen; Weitong Zhang; Jie Feng 003; Mengmeng Liu; Chao Wang 099; Songhua Xu; Rustam Stolkin (IEEE Trans. Geosci. Remote. Sens., 2024)

Joint Adversarial Network With Semantic and Topology Fusion for Cross-Scene Hyperspectral Image Classification. - Ronghua Shang; Yuhao Xie; Weitong Zhang; Jie Feng 003; Songhua Xu (IEEE Trans. Geosci. Remote. Sens., 2024)

A Multitask Framework for Hyperspectral Change Detection and Band Reweighting With Unbalanced Contrastive Learning. - Xiande Wu; Paolo Gamba; Jie Feng 003; Ronghua Shang; Xiangrong Zhang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2024)

Cross-Domain Scene Unsupervised Learning Segmentation With Dynamic Subdomains. - Pei He; Licheng Jiao; Fang Liu 001; Xu Liu 006; Ronghua Shang; Shuang Wang 001 (IEEE Trans. Multim., 2024)

Negative Label and Noise Information Guided Disambiguation for Partial Multi-Label Learning. - Jingyu Zhong; Ronghua Shang; Feng Zhao; Weitong Zhang; Songhua Xu (IEEE Trans. Multim., 2024)

Evolutionary multi-objective attribute community detection based on similarity fusion strategy with central nodes. - Weitong Zhang; Kejia Zhao; Ronghua Shang (Appl. Soft Comput., 2024)

ReCNAS: Resource-Constrained Neural Architecture Search Based on Differentiable Annealing and Dynamic Pruning. - Cheng Peng 009; Yangyang Li 001; Ronghua Shang; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Three-Dimensional Point Cloud Object Detection Based on Feature Fusion and Enhancement. - Yangyang Li 001; Zejun Ou; Guangyuan Liu; Zichen Yang; Yanqiao Chen; Ronghua Shang; Licheng Jiao (Remote. Sens., 2024)

QEA-QCNN: optimization of quantum convolutional neural network architecture based on quantum evolution. - Yangyang Li 001; Xiaobin Hao; Guanlong Liu; Ronghua Shang; Licheng Jiao (Memetic Comput., 2024)

A Patch Diversity Transformer for Domain Generalized Semantic Segmentation. - Pei He; Licheng Jiao; Ronghua Shang; Xu Liu 006; Fang Liu 001; Shuyuan Yang 001; Xiangrong Zhang; Shuang Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Attribute community detection based on attribute edges weights fusion and graph embedding factorization. - Shuaize Yang; Weitong Zhang; Ronghua Shang; Songhua Xu; Chao Wang 099 (Appl. Intell., 2024)

A lightweight PolSAR image classification algorithm based on multi-scale feature extraction and local spatial information perception. - Ronghua Shang; Mingwei Hu; Jie Feng 003; Weitong Zhang; Songhua Xu (Appl. Soft Comput., 2025)

Hyperspectral image classification based on ConvGRU and spectral-spatial joint attention. - Ronghua Shang; Jie Yang; Jie Feng 003; Yangyang Li 001; Songhua Xu (Appl. Soft Comput., 2025)

Hyperspectral image classification based on mixed similarity graph convolutional network and pixel refinement. - Ronghua Shang; Keyao Zhu; Huidong Chang; Weitong Zhang; Jie Feng 003; Songhua Xu (Appl. Soft Comput., 2025)

Overlapping community detection based on graph attention autoencoder and self-trained clustering. - Weitong Zhang; Wenxu Wang; Ronghua Shang; Songhua Xu (Appl. Soft Comput., 2025)

Robust multi-view subspace clustering via neighbor embedding on manifold and low-rank representation learning. - Jiarui Kong; Jingya Liu; Ronghua Shang; Weitong Zhang; Songhua Xu; Yangyang Li 001 (Expert Syst. Appl., 2025)

Group-spectral superposition and position self-attention transformer for hyperspectral image classification. - Weitong Zhang; Mingwei Hu; Sihan Hou; Ronghua Shang; Jie Feng 003; Songhua Xu (Expert Syst. Appl., 2025)

Efficient evolutionary multi-scale spectral-spatial attention fusion network for hyperspectral image classification. - Mengxuan Zhang 003; Zhikun Lei; Long Liu 004; Kun Ma 003; Ronghua Shang; Licheng Jiao (Expert Syst. Appl., 2025)

Adaptive graph clustering based on feature adversarial and graph transformer. - Weitong Zhang; Xuerong Zhu; Ronghua Shang; Jinhong Ren; Licheng Jiao (Expert Syst. Appl., 2025)

Bilateral-Aware and Multi-Scale Region Guided U-Net for precise breast lesion segmentation in ultrasound images. - Yangyang Li 001; Xintong Hou; Xuanting Hao; Ronghua Shang; Licheng Jiao (Neurocomputing, 2025)

Quantum splitting convolutional neural network-based distributed quantum disease detection model. - Yangyang Li 001; Zhengya Qi; Yuelin Li; Haorui Yang; Ronghua Shang; Licheng Jiao (Neurocomputing, 2025)

QD-MSA : A quantum distributed tensor network framework for multimodal sentiment analysis. - Yuelin Li; Yangyang Li 001; Zhengya Qi; Haorui Yang; Ronghua Shang; Licheng Jiao (Inf. Fusion, 2025)

Node classification based on structure migration and graph attention convolutional crossover network. - Ruolin Li; Chi Wang; Ronghua Shang; Weitong Zhang; Songhua Xu (Knowl. Based Syst., 2025)

AutoPolCNN: A neural architecture search method of convolutional neural network for PolSAR image classification. - Guangyuan Liu; Yangyang Li 001; Yanqiao Chen; Ronghua Shang; Licheng Jiao (Knowl. Based Syst., 2025)

Few-Shot Learning Based on Embedded Self-Distillation and Adaptive Wasserstein Distance for Hyperspectral Image Classification. - Wenjie Li; Shizhe Shang; Ronghua Shang; Dongzhu Feng; Weitong Zhang; Chao Wang 099; Jie Feng 003; Songhua Xu (IEEE Trans. Geosci. Remote. Sens., 2025)

Edge-Enhanced Cascaded MRF for SAR Image Segmentation. - Mengmeng Liu; Ronghua Shang; Kang Liu; Jie Feng 003; Chao Wang 099; Songhua Xu; Yangyang Li 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Knowledge Distillation Based on Adaptive Learning and Channel Amplification Features for PolSAR Image Classification. - Ronghua Shang; Mingwei Hu; Wenzheng Li; Lei Liu 014; Weitong Zhang; Jie Feng 003; Songhua Xu (IEEE Trans. Geosci. Remote. Sens., 2025)

Few-Shot Hyperspectral Image Classification Based on Prototype Mask Contrast and Cross-Stage Feature Refinement. - Weitong Zhang; Zihong Wang; Jinhong Ren; Ronghua Shang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2025)

A Distributed Hybrid Quantum Convolutional Neural Network for Medical Image Classification. - Yangyang Li 001; Zhengya Qi; Yuelin Li; Haorui Yang; Ronghua Shang; Licheng Jiao (CoRR, 2025)

Multilabel Feature Selection via Shared Latent Sublabel Structure and Simultaneous Orthogonal Basis Clustering. - Ronghua Shang; Jingyu Zhong; Weitong Zhang; Songhua Xu; Yangyang Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Meta knowledge assisted Evolutionary Neural Architecture Search. - Yangyang Li 001; Guanlong Liu; Ronghua Shang; Licheng Jiao (CoRR, 2025)

Domain-aware Category-level Geometry Learning Segmentation for 3D Point Clouds. - Pei He; Lingling Li 002; Licheng Jiao; Ronghua Shang; Fang Liu 001; Shuang Wang 001; Xu Liu 006; Wenping Ma 001 (CoRR, 2025)

Strongly correlated nodes and confidence feedbacks based CNN and transformer combined multi-person pose estimation. - Jianghai He; Ronghua Shang; Ting Wu; Chi Wang; Yangyang Li 001 (Expert Syst. Appl., 2026)

Cross-scene hyperspectral image classification based on cross-domain feature extraction and category decision collaborative optimization. - Chi Wang; Ronghua Shang; Yangyang Li 001; Jie Feng 003; Songhua Xu (Expert Syst. Appl., 2026)