Ronghua Shang

According to our database, Ronghua Shang authored at least 175 papers between 2005 and 2024.

Collaborative distances:

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

2024

Attribute community detection based on attribute edges weights fusion and graph embedding factorization.

Shuaize Yang, Weitong Zhang, Ronghua Shang, Songhua Xu, Chao Wang

Appl. Intell., November, 2024

A Patch Diversity Transformer for Domain Generalized Semantic Segmentation.

Pei He, Licheng Jiao, Ronghua Shang, Xu Liu, Fang Liu, Shuyuan Yang, Xiangrong Zhang, Shuang Wang

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

QEA-QCNN: optimization of quantum convolutional neural network architecture based on quantum evolution.

Yangyang Li, Xiaobin Hao, Guanlong Liu, Ronghua Shang, Licheng Jiao

Memetic Comput., September, 2024

Three-Dimensional Point Cloud Object Detection Based on Feature Fusion and Enhancement.

Yangyang Li, Zejun Ou, Guangyuan Liu, Zichen Yang, Yanqiao Chen, Ronghua Shang, Licheng Jiao

Remote. Sens., March, 2024

ReCNAS: Resource-Constrained Neural Architecture Search Based on Differentiable Annealing and Dynamic Pruning.

Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao

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

Evolutionary multi-objective attribute community detection based on similarity fusion strategy with central nodes.

Weitong Zhang, Kejia Zhao, Ronghua Shang

Appl. Soft Comput., January, 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

Cross-Domain Scene Unsupervised Learning Segmentation With Dynamic Subdomains.

Pei He, Licheng Jiao, Fang Liu, Xu Liu, Ronghua Shang, Shuang Wang

IEEE Trans. Multim., 2024

A Multitask Framework for Hyperspectral Change Detection and Band Reweighting With Unbalanced Contrastive Learning.

Xiande Wu, Paolo Gamba, Jie Feng, Ronghua Shang, Xiangrong Zhang, Licheng Jiao

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, Songhua Xu

IEEE Trans. Geosci. Remote. Sens., 2024

Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classification.

Jie Feng, Ziyu Zhou, Ronghua Shang, Jinjian Wu, Tianshu Zhang, Xiangrong Zhang, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2024

CFDRM: Coarse-to-Fine Dynamic Refinement Model for Weakly Supervised Moving Vehicle Detection in Satellite Videos.

Jie Feng, Quanpeng Jiang, Junpeng Zhang, Yuping Liang, Ronghua Shang, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 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

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, Licheng Jiao

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

Pattern Recognit., 2024

Robust feature selection via central point link information and sparse latent representation.

Jiarui Kong, Ronghua Shang, Weitong Zhang, Chao Wang, Songhua Xu

Pattern Recognit., 2024

A Scalable Target Orientation Detection Method for Remote Sensing Images Based on Improved YOLOX Algorithm.

Yangyang Li, Jiahao Shen, Ruijiao Liu, Xuanwei Guo, 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, Songhua Xu, Weitong Zhang

IEEE Geosci. Remote. Sens. Lett., 2024

Enhancing Remote Sensing Visual Question Answering: A Mask-Based Dual-Stream Feature Mutual Attention Network.

Yangyang Li, Yunfei Ma, Guangyuan Liu, Qiang Wei, Yanqiao Chen, Ronghua Shang, Licheng Jiao

IEEE Geosci. Remote. Sens. Lett., 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

Knowl. Based Syst., 2024

An attention-based, context-aware multimodal fusion method for sarcasm detection using inter-modality inconsistency.

Yangyang Li, Yuelin Li, Shihuai Zhang, Guangyuan Liu, Yanqiao Chen, Ronghua Shang, Licheng Jiao

Knowl. Based Syst., 2024

Multi-agent deep reinforcement learning for hyperspectral band selection with hybrid teacher guide.

Jie Feng, Qiyang Gao, Ronghua Shang, Xianghai Cao, Gaiqin Bai, Xiangrong Zhang, Licheng Jiao

Knowl. Based Syst., 2024

Multi-task multi-objective evolutionary network for hyperspectral image classification and pansharpening.

Xiande Wu, Jie Feng, Ronghua Shang, Jinjian Wu, Xiangrong Zhang, Licheng Jiao, Paolo Gamba

Inf. Fusion, 2024

Balanced quantum neural architecture search.

Yangyang Li, Guanlong Liu, Peixiang Zhao, Ronghua Shang, Licheng Jiao

Neurocomputing, 2024

Unsupervised feature selection method based on dual manifold learning and dual spatial latent representation.

Ronghua Shang, Chenchen Liu, Weitong Zhang, Yangyang Li, Songhua Xu

Expert Syst. Appl., 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

S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation.

Jie Feng, Tianshu Zhang, Junpeng Zhang, Ronghua Shang, Weisheng Dong, Guangming Shi, Licheng Jiao

CoRR, 2024

Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection.

Jie Feng, Xiaojian Zhong, Di Li, Weisheng Dong, Ronghua Shang, Licheng Jiao

CoRR, 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, Licheng Jiao, Rustam Stolkin

Appl. Soft Comput., 2024

Advanced Deep Learning Models for 6G: Overview, Opportunities, and Challenges.

Licheng Jiao, Yilin Shao, Long Sun, Fang Liu, Shuyuan Yang, Wenping Ma, Lingling Li, Xu Liu, Biao Hou, Xiangrong Zhang, Ronghua Shang, Yangyang Li, Shuang Wang, Xu Tang, Yuwei Guo

IEEE Access, 2024

Domain Generalization-Aware Uncertainty Introspective Learning for 3D Point Clouds Segmentation.

Pei He, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Wenping Ma, Shuyuan Yang, Ronghua Shang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A Dual-Branch Network for End-to-End Point-Supervised Object Detection on Remote Sensing Images.

Haotian Yan, Jie Feng, Junpeng Zhang, Ronghua Shang, Xiangrong Zhang, Licheng Jiao

Proceedings of the IGARSS 2024, 2024

Enhanced Remote Sensing Instance Segmentation with Feature Fusion.

Zhiwei Tao, Yangyang Li, Xuanting Hao, Bin Wu, Ronghua Shang, Licheng Jiao

Proceedings of the IGARSS 2024, 2024

Oriented Target Detection in Remote Sensing Images Based on Multi-Scale Feature Fusion and Feature Compensation.

Jiahao Shen, Yangyang Li, Ruijiao Liu, Xuanwei Guo, Ronghua Shang, Licheng Jiao

Proceedings of the IGARSS 2024, 2024

Learnable Prompts-Based Transformers for Domain Generalization of Hyperspectral Image Classification.

Baofa He, Jie Feng, Di Li, Ronghua Shang, Jinjian Wu, Licheng Jiao

Proceedings of the IGARSS 2024, 2024

2023

EPT-Net: Edge Perception Transformer for 3D Medical Image Segmentation.

Jingyi Yang, Licheng Jiao, Ronghua Shang, Xu Liu, Ruiyang Li, Longchang Xu

IEEE Trans. Medical Imaging, November, 2023

EQNAS: Evolutionary Quantum Neural Architecture Search for Image Classification.

Yangyang Li, Ruijiao Liu, Xiaobin Hao, Ronghua Shang, Peixiang Zhao, Licheng Jiao

Neural Networks, November, 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

Knowl. Based Syst., November, 2023

Evolutionary architecture search via adaptive parameter control and gene potential contribution.

Ronghua Shang, Songling Zhu, Hangcheng Liu, Teng Ma, Weitong Zhang, Jie Feng, Licheng Jiao, Rustam Stolkin

Swarm Evol. Comput., October, 2023

Multi-teacher knowledge distillation based on joint Guidance of Probe and Adaptive Corrector.

Ronghua Shang, Wenzheng Li, Songling Zhu, Licheng Jiao, Yangyang Li

Neural Networks, July, 2023

Multi-Angle Models and Lightweight Unbiased Decoding-Based Algorithm for Human Pose Estimation.

Jianghai He, Weitong Zhang, Ronghua Shang, Jie Feng, Licheng Jiao

Int. J. Pattern Recognit. Artif. Intell., June, 2023

RSBNet: One-shot neural architecture search for a backbone network in remote sensing image recognition.

Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao

Neurocomputing, June, 2023

Attribute community detection based on latent representation learning and graph regularized non-negative matrix factorization.

Ronghua Shang, Weitong Zhang, Zhiyuan Li, Chao Wang, Licheng Jiao

Appl. Soft Comput., January, 2023

Multi-Complementary Generative Adversarial Networks With Contrastive Learning for Hyperspectral Image Classification.

Jie Feng, Zizhuo Gao, Ronghua Shang, Xiangrong Zhang, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2023

MR-Selection: A Meta-Reinforcement Learning Approach for Zero-Shot Hyperspectral Band Selection.

Jie Feng, Gaiqin Bai, Di Li, Xiangrong Zhang, Ronghua Shang, Licheng Jiao

IEEE Trans. Geosci. 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, Rustam Stolkin

IEEE Trans. Cybern., 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, Chao Wang, Licheng Jiao, Songhua Xu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey.

Licheng Jiao, Zhongjian Huang, Xu Liu, Yuting Yang, Mengru Ma, Jiaxuan Zhao, Chao You, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Xiangrong Zhang, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Brain-Inspired Remote Sensing Foundation Models and Open Problems: A Comprehensive Survey.

Licheng Jiao, Zhongjian Huang, Xiaoqiang Lu, Xu Liu, Yuting Yang, Jiaxuan Zhao, Jinyue Zhang, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma, Lingling Li, Xiangrong Zhang, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Large-scale community detection based on core node and layer-by-layer label propagation.

Weitong Zhang, Ronghua Shang, Licheng Jiao

Inf. Sci., 2023

Unsupervised feature selection via discrete spectral clustering and feature weights.

Ronghua Shang, Jiarui Kong, Lujuan Wang, Weitong Zhang, Chao Wang, Yangyang Li, Licheng Jiao

Neurocomputing, 2023

Adaptive graph regularization and self-expression for noise-aware feature selection.

Ronghua Shang, Haijing Chi, Yangyang Li, Licheng Jiao

Neurocomputing, 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, Licheng Jiao

CoRR, 2023

An EMO Joint Pruning with Multiple Sub-networks: Fast and Effect.

Ronghua Shang, Songling Zhu, Licheng Jiao, Songhua Xu

CoRR, 2023

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

2022

Multiobjective Guided Divide-and-Conquer Network for Hyperspectral Pansharpening.

Xiande Wu, Jie Feng, Ronghua Shang, Xiangrong Zhang, 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, Yangyang Li, 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, Yangyang Li, Licheng Jiao

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, Yangyang Li, Rustam Stolkin, 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, Yangyang Li, Rustam Stolkin

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, Yangyang Li, 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, Xu Liu, Dou Quan, Kun Yang, Dong Zhao

IEEE Trans. Geosci. Remote. Sens., 2022

Self-Supervised Divide-and-Conquer Generative Adversarial Network for Classification of Hyperspectral Images.

Jie Feng, Ning Zhao, Ronghua Shang, Xiangrong Zhang, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2022

Deep Reinforcement Learning for Semisupervised Hyperspectral Band Selection.

Jie Feng, Di Li, Jing Gu, Xianghai Cao, Ronghua Shang, Xiangrong Zhang, Licheng Jiao

IEEE Trans. Geosci. 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

SAR Image Segmentation Based on Fisher Vector Superpixel Generation and Label Revision.

Ronghua Shang, Jiansheng Chen, Jie Feng, Yangyang Li, Licheng Jiao, Rustam Stolkin

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Pol-NAS: A Neural Architecture Search Method With Feature Selection for PolSAR Image Classification.

Guangyuan Liu, Yangyang Li, Yanqiao Chen, Ronghua Shang, Licheng Jiao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Uncorrelated feature selection via sparse latent representation and extended OLSDA.

Ronghua Shang, Jiarui Kong, Weitong Zhang, Jie Feng, Licheng Jiao, Rustam Stolkin

Pattern Recognit., 2022

CMNet: Classification-oriented multi-task network for hyperspectral pansharpening.

Xiande Wu, Jie Feng, Ronghua Shang, Xiangrong Zhang, Licheng Jiao

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

Feature selection based on non-negative spectral feature learning and adaptive rank constraint.

Ronghua Shang, Weitong Zhang, Mengyao Lu, Licheng Jiao, Yangyang Li

Knowl. Based Syst., 2022

Sparse and low-dimensional representation with maximum entropy adaptive graph for feature selection.

Ronghua Shang, Xinlei Zhang, Jie Feng, Yangyang Li, Licheng Jiao

Neurocomputing, 2022

Feature selection via Non-convex constraint and latent representation learning with Laplacian embedding.

Ronghua Shang, Jiarui Kong, Jie Feng, Licheng Jiao

Expert Syst. Appl., 2022

Evolutionary multiobjective overlapping community detection based on similarity matrix and node correction.

Ronghua Shang, Kejia Zhao, Weitong Zhang, Jie Feng, Yangyang Li, Licheng Jiao

Appl. Soft Comput., 2022

Spatial feature-based convolutional neural network for PolSAR image classification.

Ronghua Shang, Jiaming Wang, Licheng Jiao, Xiaohui Yang, Yangyang Li

Appl. Soft Comput., 2022

A Directed Search Many Objective Optimization Algorithm Embodied with Kernel Clustering Strategy.

Michael Aggrey Okoth, Ronghua Shang, Weitong Zhang, Licheng Jiao

Proceedings of the Intelligence Science IV, 2022

Augmentation Based Synthetic Sampling and Ensemble Techniques for Imbalanced Data Classification.

Wakjira Mulugeta Asefaw, Ronghua Shang, Michael Aggrey Okoth, Licheng Jiao

Proceedings of the Intelligence Science IV, 2022

2021

Efficient Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification.

Cheng Peng, Yangyang Li, Licheng Jiao, Ronghua Shang

IEEE Trans. Geosci. Remote. Sens., 2021

Attention Multibranch Convolutional Neural Network for Hyperspectral Image Classification Based on Adaptive Region Search.

Jie Feng, Xiande Wu, Ronghua Shang, Chenhong Sui, Jie Li, Licheng Jiao, Xiangrong Zhang

IEEE Trans. Geosci. Remote. Sens., 2021

Convolutional Neural Network Based on Bandwise-Independent Convolution and Hard Thresholding for Hyperspectral Band Selection.

Jie Feng, Jiantong Chen, Qigong Sun, Ronghua Shang, Xianghai Cao, Xiangrong Zhang, Licheng Jiao

IEEE Trans. Cybern., 2021

Multiobjective evolutionary algorithm assisted stacked autoencoder for PolSAR image classification.

Guangyuan Liu, Yangyang Li, Licheng Jiao, Yanqiao Chen, Ronghua Shang

Swarm Evol. Comput., 2021

Cross-Layer Attention Network for Small Object Detection in Remote Sensing Imagery.

Yangyang Li, Qin Huang, Xuan Pei, Yanqiao Chen, Licheng Jiao, Ronghua Shang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A Lightweight Keypoint-Based Oriented Object Detection of Remote Sensing Images.

Yangyang Li, Heting Mao, Ruijiao Liu, Xuan Pei, Licheng Jiao, Ronghua Shang

Remote. Sens., 2021

Dual space latent representation learning for unsupervised feature selection.

Ronghua Shang, Lujuan Wang, Fanhua Shang, Licheng Jiao, Yangyang Li

Pattern Recognit., 2021

Dual-graph convolutional network based on band attention and sparse constraint for hyperspectral band selection.

Jie Feng, Zhanwei Ye, Shuai Liu, Xiangrong Zhang, Jiantong Chen, Ronghua Shang, Licheng Jiao

Knowl. Based Syst., 2021

Graph Convolutional Neural Networks with Geometric and Discrimination information.

Ronghua Shang, Yang Meng, Weitong Zhang, Fanhua Shang, Licheng Jiao, Shuyuan Yang

Eng. Appl. Artif. Intell., 2021

2020

Semi-Supervised Graph Regularized Deep NMF With Bi-Orthogonal Constraints for Data Representation.

Yang Meng, Ronghua Shang, Fanhua Shang, Licheng Jiao, Shuyuan Yang, Rustam Stolkin

IEEE Trans. Neural Networks Learn. Syst., 2020

Hyper-Parameter Optimization Using MARS Surrogate for Machine-Learning Algorithms.

Yangyang Li, Guangyuan Liu, Gao Lu, Licheng Jiao, Naresh Marturi, Ronghua Shang

IEEE Trans. Emerg. Top. Comput. Intell., 2020

Superpixel Boundary-Based Edge Description Algorithm for SAR Image Segmentation.

Ronghua Shang, Junkai Lin, Licheng Jiao, Xiaohui Yang, Yangyang Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

A thumbnail-based hierarchical fuzzy clustering algorithm for SAR image segmentation.

Ronghua Shang, Chen Chen, Guangguang Wang, Licheng Jiao, Michael Aggrey Okoth, Rustam Stolkin

Signal Process., 2020

Multi-scale Adaptive Feature Fusion Network for Semantic Segmentation in Remote Sensing Images.

Ronghua Shang, Jiyu Zhang, Licheng Jiao, Yangyang Li, Naresh Marturi, Rustam Stolkin

Remote. Sens., 2020

Semantic Segmentation for SAR Image Based on Texture Complexity Analysis and Key Superpixels.

Ronghua Shang, Pei Peng, Fanhua Shang, Licheng Jiao, Yifei Shen, Rustam Stolkin

Remote. Sens., 2020

SAR Image Segmentation Using Region Smoothing and Label Correction.

Ronghua Shang, Junkai Lin, Licheng Jiao, Yangyang Li

Remote. Sens., 2020

RADet: Refine Feature Pyramid Network and Multi-Layer Attention Network for Arbitrary-Oriented Object Detection of Remote Sensing Images.

Yangyang Li, Qin Huang, Xuan Pei, Licheng Jiao, Ronghua Shang

Remote. Sens., 2020

A Multi-Level Attention Model for Remote Sensing Image Captions.

Yangyang Li, Shuangkang Fang, Licheng Jiao, Ruijiao Liu, Ronghua Shang

Remote. Sens., 2020

Double feature selection algorithm based on low-rank sparse non-negative matrix factorization.

Ronghua Shang, Jiuzheng Song, Licheng Jiao, Yangyang Li

Int. J. Mach. Learn. Cybern., 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

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

Subspace learning for unsupervised feature selection via adaptive structure learning and rank approximation.

Ronghua Shang, Kaiming Xu, Licheng Jiao

Neurocomputing, 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

Unsupervised EA-Based Fuzzy Clustering for Image Segmentation.

Mengxuan Zhang, Licheng Jiao, Ronghua Shang, Xiangrong Zhang, Lingling Li

IEEE Access, 2020

Anchor-Free Single Stage Detector in Remote Sensing Images Based on Multiscale Dense Path Aggregation Feature Pyramid Network.

Yangyang Li, Xuan Pei, Qin Huang, Licheng Jiao, Ronghua Shang, Naresh Marturi

IEEE Access, 2020

2019

A Deep Learning Method for Change Detection in Synthetic Aperture Radar Images.

Yangyang Li, Cheng Peng, Yanqiao Chen, Licheng Jiao, Linhao Zhou, Ronghua Shang

IEEE Trans. Geosci. 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

Densely Based Multi-Scale and Multi-Modal Fully Convolutional Networks for High-Resolution Remote-Sensing Image Semantic Segmentation.

Cheng Peng, Yangyang Li, Licheng Jiao, Yanqiao Chen, Ronghua Shang

IEEE J. Sel. Top. Appl. Earth Obs. 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

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

Semi-Supervised PolSAR Image Classification Based on Self-Training and Superpixels.

Yangyang Li, Ruoting Xing, Licheng Jiao, Yanqiao Chen, Yingte Chai, Naresh Marturi, Ronghua Shang

Remote. Sens., 2019

Adversarial Reconstruction-Classification Networks for PolSAR Image Classification.

Yanqiao Chen, Yangyang Li, Licheng Jiao, Cheng Peng, Xiangrong Zhang, Ronghua Shang

Remote. Sens., 2019

Local discriminative based sparse subspace learning for feature selection.

Ronghua Shang, Yang Meng, Wenbing Wang, Fanhua Shang, Licheng Jiao

Pattern Recognit., 2019

Unsupervised feature selection based on self-representation sparse regression and local similarity preserving.

Ronghua Shang, Jiangwei Chang, Licheng Jiao, Yu Xue

Int. J. Mach. Learn. Cybern., 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

A novel location-based DNA matching algorithm for hyperspectral image classification.

Ronghua Shang, Yuyang Lan, Licheng Jiao

Memetic Comput., 2019

Sar Image Change Detection Based on Mean Shift Pre-Classification and Fuzzy C-Means.

Ronghua Shang, Kaize Xie, Michael Aggrey Okoth, Licheng Jiao

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

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 Targets Classification Based on Deep Memory Convolution Neural Networks and Transfer Parameters.

Ronghua Shang, Jiaming Wang, Licheng Jiao, Rustam Stolkin, Biao Hou, Yangyang Li

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

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

Nat. Comput., 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

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

Neurocomputing, 2018

Dual-graph regularized non-negative matrix factorization with sparse and orthogonal constraints.

Yang Meng, Ronghua Shang, Licheng Jiao, Wenya Zhang, Shuyuan Yang

Eng. Appl. Artif. Intell., 2018

SAR Image Change Detection Based on Conditional Spatial and Kernel Fuzzy C-Means.

Weitong Zhang, Ailing Wen, Ronghua Shang, Licheng Jiao

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

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

Quantum-behaved discrete multi-objective particle swarm optimization for complex network clustering.

Lingling Li, Licheng Jiao, Jiaqi Zhao, Ronghua Shang, Maoguo Gong

Pattern Recognit., 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 particle swarm optimization with collaborative attractors for nonlinear numerical problems.

Tianyu Liu, Licheng Jiao, Wenping Ma, Ronghua Shang

Commun. Nonlinear Sci. Numer. Simul., 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

A Memetic Algorithm Based on Decomposition and Extended Search for Multi-Objective Capacitated Arc Routing Problem.

Ronghua Shang, Yijing Yuan, Bingqi Du, Licheng Jiao

Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Detection in SAR Images Based on Histogram and Improved Elitist Genetic Fuzzy Clustering.

Ronghua Shang, Weitong Zhang, Licheng Jiao

Proceedings of the Cloud Computing and Security - Third International Conference, 2017

Markov-Potts Prior Model and Fuzzy Membership Based Nonparametric SAR Image Change Detection.

Ronghua Shang, Weitong Zhang, Yijing Yuan, Licheng Jiao

Proceedings of the Bio-inspired Computing: Theories and Applications, 2017

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

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, Biao Hou, Xiangrong Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Immune clonal selection algorithm for capacitated arc routing problem.

Ronghua Shang, Hongna Ma, Jia Wang, Licheng Jiao, Rustam Stolkin

Soft Comput., 2016

Co-evolution-based immune clonal algorithm for clustering.

Ronghua Shang, Yang Li, Licheng Jiao

Soft Comput., 2016

A study of large-scale data clustering based on fuzzy clustering.

Yangyang Li, Guoli Yang, Haiyang He, Licheng Jiao, Ronghua Shang

Soft Comput., 2016

Global discriminative-based nonnegative spectral clustering.

Ronghua Shang, Zhu Zhang, Licheng Jiao, Wenbing Wang, Shuyuan Yang

Pattern Recognit., 2016

Learning simultaneous adaptive clustering and classification via MOEA.

Juanjuan Luo, Licheng Jiao, Ronghua Shang, Fang Liu

Pattern Recognit., 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

Subspace learning-based graph regularized feature selection.

Ronghua Shang, Wenbing Wang, Rustam Stolkin, Licheng Jiao

Knowl. Based Syst., 2016

A new quantum-behaved particle swarm optimization based on cultural evolution mechanism for multiobjective problems.

Tianyu Liu, Licheng Jiao, Wenping Ma, Jingjing Ma, Ronghua Shang

Knowl. Based Syst., 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

Self-representation based dual-graph regularized feature selection clustering.

Ronghua Shang, Zhu Zhang, Licheng Jiao, Chiyang Liu, Yangyang Li

Neurocomputing, 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

Immune clonal algorithm based on directed evolution for multi-objective capacitated arc routing problem.

Ronghua Shang, Bingqi Du, Hongna Ma, Licheng Jiao, Yu Xue, Rustam Stolkin

Appl. Soft Comput., 2016

Cultural quantum-behaved particle swarm optimization for environmental/economic dispatch.

Tianyu Liu, Licheng Jiao, Wenping Ma, Jingjing Ma, Ronghua Shang

Appl. Soft Comput., 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

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

An intuitionistic fuzzy possibilistic C-means clustering based on genetic algorithm.

Ronghua Shang, Pingping Tian, Ailing Wen, Wenzhan Liu, Licheng Jiao

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Dynamic-context cooperative quantum-behaved particle swarm optimization based on multilevel thresholding applied to medical image segmentation.

Yangyang Li, Licheng Jiao, Ronghua Shang, Rustam Stolkin

Inf. Sci., 2015

Overlapping community detection through an improved multi-objective quantum-behaved particle swarm optimization.

Yangyang Li, Yang Wang, Jing Chen, Licheng Jiao, Ronghua Shang

J. Heuristics, 2015

A Memetic Optimization Strategy Based on Dimension Reduction in Decision Space.

Handing Wang, Licheng Jiao, Ronghua Shang, Shan He, Fang Liu

Evol. Comput., 2015

Quantum immune clone for solving constrained multi-objective optimization.

Ronghua Shang, Licheng Jiao, Hao Xu, Yangyang Li

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Quantum immune clonal coevolutionary algorithm for dynamic multiobjective optimization.

Ronghua Shang, Licheng Jiao, Yujing Ren, Lin Li, Luping Wang

Soft Comput., 2014

Immune clonal coevolutionary algorithm for dynamic multiobjective optimization.

Ronghua Shang, Licheng Jiao, Yujing Ren, Jia Wang, Yangyang Li

Nat. Comput., 2014

A multi-population cooperative coevolutionary algorithm for multi-objective capacitated arc routing problem.

Ronghua Shang, Yuying Wang, Jia Wang, Licheng Jiao, Shuo Wang, Liping Qi

Inf. Sci., 2014

Change detection in SAR images by artificial immune multi-objective clustering.

Ronghua Shang, Liping Qi, Licheng Jiao, Rustam Stolkin, Yangyang Li

Eng. Appl. Artif. Intell., 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

A modified objective function method with feasible-guiding strategy to solve constrained multi-objective optimization problems.

Licheng Jiao, Juanjuan Luo, Ronghua Shang, Fang Liu

Appl. Soft Comput., 2014

A novel algorithm for many-objective dimension reductions: Pareto-PCA-NSGA-II.

Ronghua Shang, Kun Zhang, Licheng Jiao, Wei Fang, Xiangrong Zhang, Xiaolin Tian

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Kernel clustering using a hybrid memetic algorithm.

Yangyang Li, Peidao Li, Bo Wu, Licheng Jiao, Ronghua Shang

Nat. Comput., 2013

A co-evolutionary multi-objective optimization algorithm based on direction vectors.

Licheng Jiao, Handing Wang, Ronghua Shang, Fang Liu

Inf. Sci., 2013

A novel selection evolutionary strategy for constrained optimization.

Licheng Jiao, Lin Li, Ronghua Shang, Fang Liu, Rustam Stolkin

Inf. Sci., 2013

2012

A Novel Immune Clonal Algorithm for MO Problems.

Ronghua Shang, Licheng Jiao, Fang Liu, Wenping Ma

IEEE Trans. Evol. Comput., 2012

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 Hybrid Dynamic Multi-objective Immune Optimization Algorithm Using Prediction Strategy and Improved Differential Evolution Crossover Operator.

Yajuan Ma, Ruochen Liu, Ronghua Shang

Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010

SAR Image Despeckling Using Edge Detection and Feature Clustering in Bandelet Domain.

Wenge Zhang, Fang Liu, Licheng Jiao, Biao Hou, Shuang Wang, Ronghua Shang

IEEE Geosci. Remote. Sens. Lett., 2010

2009

Quantum-inspired evolutionary clustering algorithm based on manifold distance.

Yangyang Li, Hongzhu Shi, Maoguo Gong, Ronghua Shang

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

Hybrid Immune Algorithm with intelligent recombination.

Maoguo Gong, Licheng Jiao, Wenping Ma, Ronghua Shang

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2006

Immune Clonal Selection Evolutionary Strategy for Constrained Optimization.

Wenping Ma, Licheng Jiao, Maoguo Gong, Ronghua Shang

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Immune Clonal MO Algorithm for 0/1 Knapsack Problems.

Ronghua Shang, Wenping Ma, Wei Zhang

Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Immune Clonal MO Algorithm for ZDT Problems.

Ronghua Shang, Wenping Ma

Proceedings of the Advances in Natural Computation, Second International Conference, 2006

SAR Image Classification Based on Clonal Selection Algorithm.

Wenping Ma, Ronghua Shang

Proceedings of the Advances in Natural Computation, Second International Conference, 2006

A Novel Clonal Selection Algorithm for Face Detection.

Wenping Ma, Ronghua Shang, Licheng Jiao

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Performance assessment of an artificial immune system multiobjective optimizer by two improved metrics.

Maoguo Gong, Licheng Jiao, Haifeng Du, Ronghua Shang, Bin Lu

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Clonal Selection with Immune Dominance and Anergy Based Multiobjective Optimization.

Licheng Jiao, Maoguo Gong, Ronghua Shang, Haifeng Du, Bin Lu

Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

Clonal Selection Algorithm for Dynamic Multiobjective Optimization.

Ronghua Shang, Licheng Jiao, Maoguo Gong, Bin Lu

Proceedings of the Computational Intelligence and Security, International Conference, 2005