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Ronghua Shang

Ronghua Shang

D-Index & Metrics

Computer Science

D-Index
51
Citations
6928
World Ranking
5441
National Ranking
730

Overview

Ronghua Shang is affiliated with Xidian University in China and has contributed extensively to research in the areas of computer science and engineering. Their work primarily spans fields such as computer vision and pattern recognition, media technology, artificial intelligence, aerospace engineering, and statistical and nonlinear physics.

Their research focuses on several main topics including remote-sensing image classification, advanced image and video retrieval techniques, face and expression recognition, advanced image fusion techniques, advanced neural network applications, remote sensing and land use, as well as complex network analysis techniques.

Shang's recent publications include:

  • RADet: Refine Feature Pyramid Network and Multi-Layer Attention Network for Arbitrary-Oriented Object Detection of Remote Sensing Images, 2020, Remote Sensing
  • Dense connection and depthwise separable convolution based CNN for polarimetric SAR image classification, 2020, Knowledge-Based Systems
  • Multi-scale Adaptive Feature Fusion Network for Semantic Segmentation in Remote Sensing Images, 2020, Remote Sensing
  • Cross-Layer Attention Network for Small Object Detection in Remote Sensing Imagery, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Convolutional Neural Network Based on Bandwise-Independent Convolution and Hard Thresholding for Hyperspectral Band Selection, 2020, IEEE Transactions on Cybernetics

Their frequent coauthors include Licheng Jiao, Weitong Zhang, Yangyang Li, Jie Feng, and Songhua Xu.

Shang's work appears regularly in several notable publication venues with multiple contributions in:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Applied Soft Computing
  • Knowledge-Based Systems
  • SSRN Electronic Journal
  • Expert Systems with Applications

Best Publications

  • Community detection based on modularity and an improved genetic algorithm

    Ronghua Shang;Jing Bai;Licheng Jiao;Chao Jin

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

    Yangyang Li;Cheng Peng;Yanqiao Chen;Licheng Jiao

  • A Novel Immune Clonal Algorithm for MO Problems

    Ronghua Shang;Licheng Jiao;Fang Liu;Wenping Ma

  • 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

  • Non-Negative Spectral Learning and Sparse Regression-Based Dual-Graph Regularized Feature Selection

    Ronghua Shang;Wenbing Wang;Rustam Stolkin;Licheng Jiao

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

    Licheng Jiao;Juanjuan Luo;Ronghua Shang;Fang Liu

  • 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

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

    Lingling Li;Licheng Jiao;Jiaqi Zhao;Ronghua Shang

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

    Ronghua Shang;Jiaming Wang;Licheng Jiao;Rustam Stolkin

  • 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

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

    Unknown

  • Dense connection and depthwise separable convolution based CNN for polarimetric SAR image classification

    Ronghua Shang;Jianghai He;Jiaming Wang;Kaiming Xu

  • Feature selection based dual-graph sparse non-negative matrix factorization for local discriminative clustering

    Yang Meng;Ronghua Shang;Licheng Jiao;Wenya Zhang

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

    Ronghua Shang;Jiyu Zhang;Licheng Jiao;Yangyang Li

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

    Yangyang Li;Qin Huang;Xuan Pei;Yanqiao Chen

  • Clonal selection with immune dominance and anergy based multiobjective optimization

    Licheng Jiao;Maoguo Gong;Ronghua Shang;Haifeng Du

  • Subspace learning-based graph regularized feature selection

    Ronghua Shang;Wenbing Wang;Rustam Stolkin;Licheng Jiao

  • Quantum immune clonal coevolutionary algorithm for dynamic multiobjective optimization

    Ronghua Shang;Licheng Jiao;Yujing Ren;Lin Li

  • Global discriminative-based nonnegative spectral clustering

    Ronghua Shang;Zhu Zhang;Licheng Jiao;Wenbing Wang

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

    Ronghua Shang;Zhu Zhang;Licheng Jiao;Chiyang Liu

  • A Spatial Fuzzy Clustering Algorithm With Kernel Metric Based on Immune Clone for SAR Image Segmentation

    Ronghua Shang;Pingping Tian;Licheng Jiao;Rustam Stolkin

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

    Yang Meng;Ronghua Shang;Licheng Jiao;Wenya Zhang

  • Overlapping community detection via network dynamics.

    Jianshe Wu;Licheng Jiao;Chao Jin;Fang Liu

Frequent Co-Authors

Licheng Jiao
Licheng Jiao Xidian University
Rustam Stolkin
Rustam Stolkin University of Birmingham
Wenping Ma
Wenping Ma Xidian University
Maoguo Gong
Maoguo Gong Xidian University
Xiangrong Zhang
Xiangrong Zhang Xidian University
Shuyuan Yang
Shuyuan Yang Xidian University
Biao Hou
Biao Hou Xidian University
Yu Xue
Yu Xue Nanjing University of Information Science and Technology
Jie Li
Jie Li Shanghai Jiao Tong University
Weisheng Chen
Weisheng Chen Xidian University

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