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2020 – today
- 2025
- [j145]Mengxuan Zhang, Zhikun Lei, Long Liu, Kun Ma, Ronghua Shang, Licheng Jiao:
Efficient evolutionary multi-scale spectral-spatial attention fusion network for hyperspectral image classification. Expert Syst. Appl. 262: 125672 (2025) - 2024
- [j144]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:
Advanced Deep Learning Models for 6G: Overview, Opportunities, and Challenges. IEEE Access 12: 133245-133314 (2024) - [j143]Shuaize Yang, Weitong Zhang, Ronghua Shang, Songhua Xu, Chao Wang:
Attribute community detection based on attribute edges weights fusion and graph embedding factorization. Appl. Intell. 54(22): 11342-11356 (2024) - [j142]Weitong Zhang, Kejia Zhao, Ronghua Shang:
Evolutionary multi-objective attribute community detection based on similarity fusion strategy with central nodes. Appl. Soft Comput. 150: 111101 (2024) - [j141]Ronghua Shang, Sa Wang, Weitong Zhang, Jie Feng, Licheng Jiao, Rustam Stolkin:
Evolutionary multi-objective overlapping community detection based on fusion of internal and external connectivity and correction of node intimacy. Appl. Soft Comput. 154: 111414 (2024) - [j140]Ronghua Shang, Lizhuo Gao, Haijing Chi, Jiarui Kong, Weitong Zhang, Songhua Xu:
Non-convex feature selection based on feature correlation representation and dual manifold optimization. Expert Syst. Appl. 250: 123867 (2024) - [j139]Ronghua Shang, Chenchen Liu, Weitong Zhang, Yangyang Li, Songhua Xu:
Unsupervised feature selection method based on dual manifold learning and dual spatial latent representation. Expert Syst. Appl. 255: 124696 (2024) - [j138]Yangyang Li, Guanlong Liu, Peixiang Zhao, Ronghua Shang, Licheng Jiao:
Balanced quantum neural architecture search. Neurocomputing 594: 127860 (2024) - [j137]Xiande Wu, Jie Feng, Ronghua Shang, Jinjian Wu, Xiangrong Zhang, Licheng Jiao, Paolo Gamba:
Multi-task multi-objective evolutionary network for hyperspectral image classification and pansharpening. Inf. Fusion 108: 102383 (2024) - [j136]Yangyang Li, Yuelin Li, Shihuai Zhang, Guangyuan Liu, Yanqiao Chen, Ronghua Shang, Licheng Jiao:
An attention-based, context-aware multimodal fusion method for sarcasm detection using inter-modality inconsistency. Knowl. Based Syst. 287: 111457 (2024) - [j135]Jie Feng, Qiyang Gao, Ronghua Shang, Xianghai Cao, Gaiqin Bai, Xiangrong Zhang, Licheng Jiao:
Multi-agent deep reinforcement learning for hyperspectral band selection with hybrid teacher guide. Knowl. Based Syst. 299: 112044 (2024) - [j134]Ronghua Shang, Jiuzheng Song, Lizhuo Gao, Mengyao Lu, Licheng Jiao, Songhua Xu, Yangyang Li:
Double-dictionary learning unsupervised feature selection cooperating with low-rank and sparsity. Knowl. Based Syst. 304: 112566 (2024) - [j133]Yangyang Li, Yunfei Ma, Guangyuan Liu, Qiang Wei, Yanqiao Chen, Ronghua Shang, Licheng Jiao:
Enhancing Remote Sensing Visual Question Answering: A Mask-Based Dual-Stream Feature Mutual Attention Network. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j132]Wenjie Li, Ronghua Shang, Zihan Ju, Jie Feng, Songhua Xu, Weitong Zhang:
Ellipse IoU Loss: Better Learning for Rotated Bounding Box Regression. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j131]Yangyang Li, Jiahao Shen, Ruijiao Liu, Xuanwei Guo, Yanqiao Chen, Ronghua Shang, Licheng Jiao:
A Scalable Target Orientation Detection Method for Remote Sensing Images Based on Improved YOLOX Algorithm. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j130]Yangyang Li, Xiaobin Hao, Guanlong Liu, Ronghua Shang, Licheng Jiao:
QEA-QCNN: optimization of quantum convolutional neural network architecture based on quantum evolution. Memetic Comput. 16(3): 233-254 (2024) - [j129]Jingyu Zhong, Ronghua Shang, Songhua Xu, Yangyang Li:
Graph embedding orthogonal decomposition: A synchronous feature selection technique based on collaborative particle swarm optimization. Pattern Recognit. 152: 110453 (2024) - [j128]Songling Zhu, Ronghua Shang, Bo Yuan, Weitong Zhang, Wenjie Li, Yangyang Li, Licheng Jiao:
DynamicKD: An effective knowledge distillation via dynamic entropy correction-based distillation for gap optimizing. Pattern Recognit. 153: 110545 (2024) - [j127]Jiarui Kong, Ronghua Shang, Weitong Zhang, Chao Wang, Songhua Xu:
Robust feature selection via central point link information and sparse latent representation. Pattern Recognit. 154: 110617 (2024) - [j126]Yangyang Li, Zejun Ou, Guangyuan Liu, Zichen Yang, Yanqiao Chen, Ronghua Shang, Licheng Jiao:
Three-Dimensional Point Cloud Object Detection Based on Feature Fusion and Enhancement. Remote. Sens. 16(6): 1045 (2024) - [j125]Ronghua Shang, Hangcheng Liu, Wenzheng Li, Weitong Zhang, Teng Ma, Licheng Jiao:
An efficient evolutionary architecture search for variational autoencoder with alternating optimization and adaptive crossover. Swarm Evol. Comput. 86: 101520 (2024) - [j124]Jie Feng, Quanpeng Jiang, Junpeng Zhang, Yuping Liang, Ronghua Shang, Licheng Jiao:
CFDRM: Coarse-to-Fine Dynamic Refinement Model for Weakly Supervised Moving Vehicle Detection in Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j123]Jie Feng, Ziyu Zhou, Ronghua Shang, Jinjian Wu, Tianshu Zhang, Xiangrong Zhang, Licheng Jiao:
Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j122]Ronghua Shang, Yuhao Xie, Weitong Zhang, Jie Feng, Songhua Xu:
Joint Adversarial Network With Semantic and Topology Fusion for Cross-Scene Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j121]Xiande Wu, Paolo Gamba, Jie Feng, Ronghua Shang, Xiangrong Zhang, Licheng Jiao:
A Multitask Framework for Hyperspectral Change Detection and Band Reweighting With Unbalanced Contrastive Learning. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j120]Pei He, Licheng Jiao, Fang Liu, Xu Liu, Ronghua Shang, Shuang Wang:
Cross-Domain Scene Unsupervised Learning Segmentation With Dynamic Subdomains. IEEE Trans. Multim. 26: 6770-6784 (2024) - [j119]Jingyu Zhong, Ronghua Shang, Feng Zhao, Weitong Zhang, Songhua Xu:
Negative Label and Noise Information Guided Disambiguation for Partial Multi-Label Learning. IEEE Trans. Multim. 26: 9920-9935 (2024) - [j118]Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao:
ReCNAS: Resource-Constrained Neural Architecture Search Based on Differentiable Annealing and Dynamic Pruning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2805-2819 (2024) - [j117]Pei He, Licheng Jiao, Ronghua Shang, Xu Liu, Fang Liu, Shuyuan Yang, Xiangrong Zhang, Shuang Wang:
A Patch Diversity Transformer for Domain Generalized Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14138-14150 (2024) - [c28]Zhiwei Tao, Yangyang Li, Xuanting Hao, Bin Wu, Ronghua Shang, Licheng Jiao:
Enhanced Remote Sensing Instance Segmentation with Feature Fusion. IGARSS 2024: 7107-7110 - [c27]Jiahao Shen, Yangyang Li, Ruijiao Liu, Xuanwei Guo, Ronghua Shang, Licheng Jiao:
Oriented Target Detection in Remote Sensing Images Based on Multi-Scale Feature Fusion and Feature Compensation. IGARSS 2024: 9050-9053 - [c26]Haotian Yan, Jie Feng, Junpeng Zhang, Ronghua Shang, Xiangrong Zhang, Licheng Jiao:
A Dual-Branch Network for End-to-End Point-Supervised Object Detection on Remote Sensing Images. IGARSS 2024: 9591-9595 - [c25]Baofa He, Jie Feng, Di Li, Ronghua Shang, Jinjian Wu, Licheng Jiao:
Learnable Prompts-Based Transformers for Domain Generalization of Hyperspectral Image Classification. IGARSS 2024: 10441-10445 - [c24]Pei He, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Wenping Ma, Shuyuan Yang, Ronghua Shang:
Domain Generalization-Aware Uncertainty Introspective Learning for 3D Point Clouds Segmentation. ACM Multimedia 2024: 651-660 - [i5]Jie Feng, Xiaojian Zhong, Di Li, Weisheng Dong, Ronghua Shang, Licheng Jiao:
Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection. CoRR abs/2406.07949 (2024) - [i4]Jie Feng, Tianshu Zhang, Junpeng Zhang, Ronghua Shang, Weisheng Dong, Guangming Shi, Licheng Jiao:
S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation. CoRR abs/2408.15263 (2024) - 2023
- [j116]Weitong Zhang, Ronghua Shang, Zhiyuan Li, Rui Sun, Jun Du:
Personalized Web Page Ranking Based Graph Convolutional Network for Community Detection in Attribute Networks. IEEE Access 11: 84270-84282 (2023) - [j115]Ronghua Shang, Weitong Zhang, Zhiyuan Li, Chao Wang, Licheng Jiao:
Attribute community detection based on latent representation learning and graph regularized non-negative matrix factorization. Appl. Soft Comput. 133: 109932 (2023) - [j114]Ronghua Shang, Jiarui Kong, Lujuan Wang, Weitong Zhang, Chao Wang, Yangyang Li, Licheng Jiao:
Unsupervised feature selection via discrete spectral clustering and feature weights. Neurocomputing 517: 106-117 (2023) - [j113]Ronghua Shang, Haijing Chi, Yangyang Li, Licheng Jiao:
Adaptive graph regularization and self-expression for noise-aware feature selection. Neurocomputing 535: 107-122 (2023) - [j112]Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao:
RSBNet: One-shot neural architecture search for a backbone network in remote sensing image recognition. Neurocomputing 537: 110-127 (2023) - [j111]Jianghai He, Weitong Zhang, Ronghua Shang, Jie Feng, Licheng Jiao:
Multi-Angle Models and Lightweight Unbiased Decoding-Based Algorithm for Human Pose Estimation. Int. J. Pattern Recognit. Artif. Intell. 37(8): 2356014:1-2356014:32 (2023) - [j110]Weitong Zhang, Ronghua Shang, Licheng Jiao:
Large-scale community detection based on core node and layer-by-layer label propagation. Inf. Sci. 632: 1-18 (2023) - [j109]Songling Zhu, Ronghua Shang, Ke Tang, Songhua Xu, Yangyang Li:
BookKD: A novel knowledge distillation for reducing distillation costs by decoupling knowledge generation and learning. Knowl. Based Syst. 279: 110916 (2023) - [j108]Ronghua Shang, Wenzheng Li, Songling Zhu, Licheng Jiao, Yangyang Li:
Multi-teacher knowledge distillation based on joint Guidance of Probe and Adaptive Corrector. Neural Networks 164: 345-356 (2023) - [j107]Yangyang Li, Ruijiao Liu, Xiaobin Hao, Ronghua Shang, Peixiang Zhao, Licheng Jiao:
EQNAS: Evolutionary Quantum Neural Architecture Search for Image Classification. Neural Networks 168: 471-483 (2023) - [j106]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:
Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2992-3033 (2023) - [j105]Ronghua Shang, Keyao Zhu, Jie Feng, Chao Wang, Licheng Jiao, Songhua Xu:
Reg-Superpixel Guided Convolutional Neural Network of PolSAR Image Classification Based on Feature Selection and Receptive Field Reconstruction. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4312-4327 (2023) - [j104]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:
Brain-Inspired Remote Sensing Foundation Models and Open Problems: A Comprehensive Survey. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 10084-10120 (2023) - [j103]Ronghua Shang, Songling Zhu, Hangcheng Liu, Teng Ma, Weitong Zhang, Jie Feng, Licheng Jiao, Rustam Stolkin:
Evolutionary architecture search via adaptive parameter control and gene potential contribution. Swarm Evol. Comput. 82: 101354 (2023) - [j102]Ronghua Shang, Weitong Zhang, Jingwen Zhang, Licheng Jiao, Yangyang Li, Rustam Stolkin:
Local Community Detection Algorithm Based on Alternating Strategy of Strong Fusion and Weak Fusion. IEEE Trans. Cybern. 53(2): 818-831 (2023) - [j101]Jie Feng, Gaiqin Bai, Di Li, Xiangrong Zhang, Ronghua Shang, Licheng Jiao:
MR-Selection: A Meta-Reinforcement Learning Approach for Zero-Shot Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 61: 1-20 (2023) - [j100]Jie Feng, Zizhuo Gao, Ronghua Shang, Xiangrong Zhang, Licheng Jiao:
Multi-Complementary Generative Adversarial Networks With Contrastive Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j99]Jingyi Yang, Licheng Jiao, Ronghua Shang, Xu Liu, Ruiyang Li, Longchang Xu:
EPT-Net: Edge Perception Transformer for 3D Medical Image Segmentation. IEEE Trans. Medical Imaging 42(11): 3229-3243 (2023) - [i3]Ronghua Shang, Songling Zhu, Licheng Jiao, Songhua Xu:
An EMO Joint Pruning with Multiple Sub-networks: Fast and Effect. CoRR abs/2303.16212 (2023) - [i2]Songling Zhu, Ronghua Shang, Bo Yuan, Weitong Zhang, Yangyang Li, Licheng Jiao:
DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap Optimizing. CoRR abs/2305.05233 (2023) - 2022
- [j98]Ronghua Shang, Jiaming Wang, Licheng Jiao, Xiaohui Yang, Yangyang Li:
Spatial feature-based convolutional neural network for PolSAR image classification. Appl. Soft Comput. 123: 108922 (2022) - [j97]Ronghua Shang, Kejia Zhao, Weitong Zhang, Jie Feng, Yangyang Li, Licheng Jiao:
Evolutionary multiobjective overlapping community detection based on similarity matrix and node correction. Appl. Soft Comput. 127: 109397 (2022) - [j96]Ronghua Shang, Jiarui Kong, Jie Feng, Licheng Jiao:
Feature selection via Non-convex constraint and latent representation learning with Laplacian embedding. Expert Syst. Appl. 208: 118179 (2022) - [j95]Ronghua Shang, Xinlei Zhang, Jie Feng, Yangyang Li, Licheng Jiao:
Sparse and low-dimensional representation with maximum entropy adaptive graph for feature selection. Neurocomputing 485: 57-73 (2022) - [j94]Ronghua Shang, Weitong Zhang, Mengyao Lu, Licheng Jiao, Yangyang Li:
Feature selection based on non-negative spectral feature learning and adaptive rank constraint. Knowl. Based Syst. 236: 107749 (2022) - [j93]Ronghua Shang, Songling Zhu, Jinhong Ren, Hangcheng Liu, Licheng Jiao:
Evolutionary neural architecture search based on evaluation correction and functional units. Knowl. Based Syst. 251: 109206 (2022) - [j92]Xiande Wu, Jie Feng, Ronghua Shang, Xiangrong Zhang, Licheng Jiao:
CMNet: Classification-oriented multi-task network for hyperspectral pansharpening. Knowl. Based Syst. 256: 109878 (2022) - [j91]Ronghua Shang, Jiarui Kong, Weitong Zhang, Jie Feng, Licheng Jiao, Rustam Stolkin:
Uncorrelated feature selection via sparse latent representation and extended OLSDA. Pattern Recognit. 132: 108966 (2022) - [j90]Guangyuan Liu, Yangyang Li, Yanqiao Chen, Ronghua Shang, Licheng Jiao:
Pol-NAS: A Neural Architecture Search Method With Feature Selection for PolSAR Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9339-9354 (2022) - [j89]Ronghua Shang, Jiansheng Chen, Jie Feng, Yangyang Li, Licheng Jiao, Rustam Stolkin:
SAR Image Segmentation Based on Fisher Vector Superpixel Generation and Label Revision. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9639-9653 (2022) - [j88]Ronghua Shang, Weitong Zhang, Licheng Jiao, Xiangrong Zhang, Rustam Stolkin:
Dynamic Immunization Node Model for Complex Networks Based on Community Structure and Threshold. IEEE Trans. Cybern. 52(3): 1539-1552 (2022) - [j87]Jie Feng, Di Li, Jing Gu, Xianghai Cao, Ronghua Shang, Xiangrong Zhang, Licheng Jiao:
Deep Reinforcement Learning for Semisupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j86]Jie Feng, Ning Zhao, Ronghua Shang, Xiangrong Zhang, Licheng Jiao:
Self-Supervised Divide-and-Conquer Generative Adversarial Network for Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j85]Pei He, Licheng Jiao, Ronghua Shang, Shuang Wang, Xu Liu, Dou Quan, Kun Yang, Dong Zhao:
MANet: Multi-Scale Aware-Relation Network for Semantic Segmentation in Aerial Scenes. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j84]Ronghua Shang, Huidong Chang, Weitong Zhang, Jie Feng, Yangyang Li, Licheng Jiao:
Hyperspectral Image Classification Based on Multiscale Cross-Branch Response and Second-Order Channel Attention. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j83]Ronghua Shang, Mengmeng Liu, Licheng Jiao, Jie Feng, Yangyang Li, Rustam Stolkin:
Region-Level SAR Image Segmentation Based on Edge Feature and Label Assistance. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j82]Ronghua Shang, Mengmeng Liu, Junkai Lin, Jie Feng, Yangyang Li, Rustam Stolkin, Licheng Jiao:
SAR Image Segmentation Based on Constrained Smoothing and Hierarchical Label Correction. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j81]Ronghua Shang, Wenjie Li, Weitong Zhang, Jie Feng, Yangyang Li, Licheng Jiao:
Simplified Nonlocal Network Based on Adaptive Projection Attention Method for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j80]Ronghua Shang, Jinhong Ren, Songling Zhu, Weitong Zhang, Jie Feng, Yangyang Li, Licheng Jiao:
Hyperspectral Image Classification Based on Pyramid Coordinate Attention and Weighted Self-Distillation. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j79]Xiande Wu, Jie Feng, Ronghua Shang, Xiangrong Zhang, Licheng Jiao:
Multiobjective Guided Divide-and-Conquer Network for Hyperspectral Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c23]Michael Aggrey Okoth, Ronghua Shang, Weitong Zhang, Licheng Jiao:
A Directed Search Many Objective Optimization Algorithm Embodied with Kernel Clustering Strategy. IFIP TC12 ICIS 2022: 121-129 - [c22]Wakjira Mulugeta Asefaw, Ronghua Shang, Michael Aggrey Okoth, Licheng Jiao:
Augmentation Based Synthetic Sampling and Ensemble Techniques for Imbalanced Data Classification. IFIP TC12 ICIS 2022: 138-146 - 2021
- [j78]Ronghua Shang, Yang Meng, Weitong Zhang, Fanhua Shang, Licheng Jiao, Shuyuan Yang:
Graph Convolutional Neural Networks with Geometric and Discrimination information. Eng. Appl. Artif. Intell. 104: 104364 (2021) - [j77]Jie Feng, Zhanwei Ye, Shuai Liu, Xiangrong Zhang, Jiantong Chen, Ronghua Shang, Licheng Jiao:
Dual-graph convolutional network based on band attention and sparse constraint for hyperspectral band selection. Knowl. Based Syst. 231: 107428 (2021) - [j76]Ronghua Shang, Lujuan Wang, Fanhua Shang, Licheng Jiao, Yangyang Li:
Dual space latent representation learning for unsupervised feature selection. Pattern Recognit. 114: 107873 (2021) - [j75]Yangyang Li, Heting Mao, Ruijiao Liu, Xuan Pei, Licheng Jiao, Ronghua Shang:
A Lightweight Keypoint-Based Oriented Object Detection of Remote Sensing Images. Remote. Sens. 13(13): 2459 (2021) - [j74]Yangyang Li, Qin Huang, Xuan Pei, Yanqiao Chen, Licheng Jiao, Ronghua Shang:
Cross-Layer Attention Network for Small Object Detection in Remote Sensing Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2148-2161 (2021) - [j73]Guangyuan Liu, Yangyang Li, Licheng Jiao, Yanqiao Chen, Ronghua Shang:
Multiobjective evolutionary algorithm assisted stacked autoencoder for PolSAR image classification. Swarm Evol. Comput. 60: 100794 (2021) - [j72]Jie Feng, Jiantong Chen, Qigong Sun, Ronghua Shang, Xianghai Cao, Xiangrong Zhang, Licheng Jiao:
Convolutional Neural Network Based on Bandwise-Independent Convolution and Hard Thresholding for Hyperspectral Band Selection. IEEE Trans. Cybern. 51(9): 4414-4428 (2021) - [j71]Jie Feng, Xiande Wu, Ronghua Shang, Chenhong Sui, Jie Li, Licheng Jiao, Xiangrong Zhang:
Attention Multibranch Convolutional Neural Network for Hyperspectral Image Classification Based on Adaptive Region Search. IEEE Trans. Geosci. Remote. Sens. 59(6): 5054-5070 (2021) - [j70]Cheng Peng, Yangyang Li, Licheng Jiao, Ronghua Shang:
Efficient Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 59(7): 6092-6105 (2021) - [i1]Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao:
RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition. CoRR abs/2112.03456 (2021) - 2020
- [j69]Mengxuan Zhang, Licheng Jiao, Ronghua Shang, Xiangrong Zhang, Lingling Li:
Unsupervised EA-Based Fuzzy Clustering for Image Segmentation. IEEE Access 8: 8627-8647 (2020) - [j68]Yangyang Li, Xuan Pei, Qin Huang, Licheng Jiao, Ronghua Shang, Naresh Marturi:
Anchor-Free Single Stage Detector in Remote Sensing Images Based on Multiscale Dense Path Aggregation Feature Pyramid Network. IEEE Access 8: 63121-63133 (2020) - [j67]Weitong Zhang, Ronghua Shang, Licheng Jiao:
Complex network graph embedding method based on shortest path and MOEA/D for community detection. Appl. Soft Comput. 97(Part): 106764 (2020) - [j66]Ronghua Shang, Kaiming Xu, Licheng Jiao:
Subspace learning for unsupervised feature selection via adaptive structure learning and rank approximation. Neurocomputing 413: 72-84 (2020) - [j65]Ronghua Shang, Kaiming Xu, Fanhua Shang, Licheng Jiao:
Sparse and low-redundant subspace learning-based dual-graph regularized robust feature selection. Knowl. Based Syst. 187 (2020) - [j64]Ronghua Shang, Jianghai He, Jiaming Wang, Kaiming Xu, Licheng Jiao, Rustam Stolkin:
Dense connection and depthwise separable convolution based CNN for polarimetric SAR image classification. Knowl. Based Syst. 194: 105542 (2020) - [j63]Ronghua Shang, Jiuzheng Song, Licheng Jiao, Yangyang Li:
Double feature selection algorithm based on low-rank sparse non-negative matrix factorization. Int. J. Mach. Learn. Cybern. 11(8): 1891-1908 (2020) - [j62]Yangyang Li, Qin Huang, Xuan Pei, Licheng Jiao, Ronghua Shang:
RADet: Refine Feature Pyramid Network and Multi-Layer Attention Network for Arbitrary-Oriented Object Detection of Remote Sensing Images. Remote. Sens. 12(3): 389 (2020) - [j61]Ronghua Shang, Junkai Lin, Licheng Jiao, Yangyang Li:
SAR Image Segmentation Using Region Smoothing and Label Correction. Remote. Sens. 12(5): 803 (2020) - [j60]Ronghua Shang, Jiyu Zhang, Licheng Jiao, Yangyang Li, Naresh Marturi, Rustam Stolkin:
Multi-scale Adaptive Feature Fusion Network for Semantic Segmentation in Remote Sensing Images. Remote. Sens. 12(5): 872 (2020) - [j59]Yangyang Li, Shuangkang Fang, Licheng Jiao, Ruijiao Liu, Ronghua Shang:
A Multi-Level Attention Model for Remote Sensing Image Captions. Remote. Sens. 12(6): 939 (2020) - [j58]Ronghua Shang, Pei Peng, Fanhua Shang, Licheng Jiao, Yifei Shen, Rustam Stolkin:
Semantic Segmentation for SAR Image Based on Texture Complexity Analysis and Key Superpixels. Remote. Sens. 12(13): 2141 (2020) - [j57]Ronghua Shang, Chen Chen, Guangguang Wang, Licheng Jiao, Michael Aggrey Okoth, Rustam Stolkin:
A thumbnail-based hierarchical fuzzy clustering algorithm for SAR image segmentation. Signal Process. 171: 107518 (2020) - [j56]Ronghua Shang, Junkai Lin, Licheng Jiao, Xiaohui Yang, Yangyang Li:
Superpixel Boundary-Based Edge Description Algorithm for SAR Image Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1971-1985 (2020) - [j55]Yangyang Li, Guangyuan Liu, Gao Lu, Licheng Jiao, Naresh Marturi, Ronghua Shang:
Hyper-Parameter Optimization Using MARS Surrogate for Machine-Learning Algorithms. IEEE Trans. Emerg. Top. Comput. Intell. 4(3): 287-297 (2020) - [j54]Yang Meng, Ronghua Shang, Fanhua Shang, Licheng Jiao, Shuyuan Yang, Rustam Stolkin:
Semi-Supervised Graph Regularized Deep NMF With Bi-Orthogonal Constraints for Data Representation. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3245-3258 (2020)
2010 – 2019
- 2019
- [j53]Ronghua Shang, Yuyang Lan, Licheng Jiao:
A novel location-based DNA matching algorithm for hyperspectral image classification. Memetic Comput. 11(2): 175-191 (2019) - [j52]Ronghua Shang, Yang Meng, Chiyang Liu, Licheng Jiao, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin:
Unsupervised feature selection based on kernel fisher discriminant analysis and regression learning. Mach. Learn. 108(4): 659-686 (2019) - [j51]Ronghua Shang, Jiangwei Chang, Licheng Jiao, Yu Xue:
Unsupervised feature selection based on self-representation sparse regression and local similarity preserving. Int. J. Mach. Learn. Cybern. 10(4): 757-770 (2019) - [j50]Ronghua Shang, Yang Meng, Wenbing Wang, Fanhua Shang, Licheng Jiao:
Local discriminative based sparse subspace learning for feature selection. Pattern Recognit. 92: 219-230 (2019) - [j49]Yanqiao Chen, Yangyang Li, Licheng Jiao, Cheng Peng, Xiangrong Zhang, Ronghua Shang:
Adversarial Reconstruction-Classification Networks for PolSAR Image Classification. Remote. Sens. 11(4): 415 (2019) - [j48]Ronghua Shang, Guangguang Wang, Michael A. Okoth, Licheng Jiao:
Complex-Valued Convolutional Autoencoder and Spatial Pixel-Squares Refinement for Polarimetric SAR Image Classification. Remote. Sens. 11(5): 522 (2019) - [j47]Yangyang Li, Ruoting Xing, Licheng Jiao, Yanqiao Chen, Yingte Chai, Naresh Marturi, Ronghua Shang:
Semi-Supervised PolSAR Image Classification Based on Self-Training and Superpixels. Remote. Sens. 11(16): 1933 (2019) - [j46]Ronghua Shang, Yuyang Lan, Licheng Jiao, Rustam Stolkin:
A dynamic local cluster ratio-based band selection algorithm for hyperspectral images. Soft Comput. 23(17): 8281-8289 (2019) - [j45]Cheng Peng, Yangyang Li, Licheng Jiao, Yanqiao Chen, Ronghua Shang:
Densely Based Multi-Scale and Multi-Modal Fully Convolutional Networks for High-Resolution Remote-Sensing Image Semantic Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(8): 2612-2626 (2019) - [j44]Ronghua Shang, Weitong Zhang, Feng Li, Licheng Jiao, Rustam Stolkin:
Multi-objective artificial immune algorithm for fuzzy clustering based on multiple kernels. Swarm Evol. Comput. 50 (2019) - [j43]Yangyang Li, Cheng Peng, Yanqiao Chen, Licheng Jiao, Linhao Zhou, Ronghua Shang:
A Deep Learning Method for Change Detection in Synthetic Aperture Radar Images. IEEE Trans. Geosci. Remote. Sens. 57(8): 5751-5763 (2019) - [c21]Ronghua Shang, Kaize Xie, Michael Aggrey Okoth, Licheng Jiao:
Sar Image Change Detection Based on Mean Shift Pre-Classification and Fuzzy C-Means. IGARSS 2019: 2358-2361 - 2018
- [j42]Yang Meng, Ronghua Shang, Licheng Jiao, Wenya Zhang, Shuyuan Yang:
Dual-graph regularized non-negative matrix factorization with sparse and orthogonal constraints. Eng. Appl. Artif. Intell. 69: 24-35 (2018) - [j41]Yang Meng, Ronghua Shang, Licheng Jiao, Wenya Zhang, Yijing Yuan, Shuyuan Yang:
Feature selection based dual-graph sparse non-negative matrix factorization for local discriminative clustering. Neurocomputing 290: 87-99 (2018) - [j40]Ronghua Shang, Bingqi Du, Kaiyun Dai, Licheng Jiao, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin:
Quantum-Inspired Immune Clonal Algorithm for solving large-scale capacitated arc routing problems. Memetic Comput. 10(1): 81-102 (2018) - [j39]Ronghua Shang, Bingqi Du, Kaiyun Dai, Licheng Jiao, Yu Xue:
Memetic algorithm based on extension step and statistical filtering for large-scale capacitated arc routing problems. Nat. Comput. 17(2): 375-391 (2018) - [j38]Ronghua Shang, Yijing Yuan, Licheng Jiao, Yang Meng, Amir Masoud Ghalamzan Esfahani:
A self-paced learning algorithm for change detection in synthetic aperture radar images. Signal Process. 142: 375-387 (2018) - [j37]Ronghua Shang, Jiaming Wang, Licheng Jiao, Rustam Stolkin, Biao Hou, Yangyang Li:
SAR Targets Classification Based on Deep Memory Convolution Neural Networks and Transfer Parameters. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(8): 2834-2846 (2018) - [j36]Ronghua Shang, Wenbing Wang, Rustam Stolkin, Licheng Jiao:
Non-Negative Spectral Learning and Sparse Regression-Based Dual-Graph Regularized Feature Selection. IEEE Trans. Cybern. 48(2): 793-806 (2018) - [c20]Weitong Zhang, Ailing Wen, Ronghua Shang, Licheng Jiao:
SAR Image Change Detection Based on Conditional Spatial and Kernel Fuzzy C-Means. IGARSS 2018: 4808-4811 - 2017
- [j35]Ronghua Shang, Huan Liu, Licheng Jiao, Amir Masoud Ghalamzan Esfahani:
Community mining using three closely joint techniques based on community mutual membership and refinement strategy. Appl. Soft Comput. 61: 1060-1073 (2017) - [j34]Tianyu Liu, Licheng Jiao, Wenping Ma, Ronghua Shang:
Quantum-behaved particle swarm optimization with collaborative attractors for nonlinear numerical problems. Commun. Nonlinear Sci. Numer. Simul. 44: 167-183 (2017) - [j33]Ronghua Shang, Chiyang Liu, Yang Meng, Licheng Jiao, Rustam Stolkin:
Nonnegative Matrix Factorization with Rank Regularization and Hard Constraint. Neural Comput. 29(9): 2553-2579 (2017) - [j32]Lingling Li, Licheng Jiao, Jiaqi Zhao, Ronghua Shang, Maoguo Gong:
Quantum-behaved discrete multi-objective particle swarm optimization for complex network clustering. Pattern Recognit. 63: 1-14 (2017) - [j31]Ronghua Shang, Yijing Yuan, Licheng Jiao, Biao Hou, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin:
A Fast Algorithm for SAR Image Segmentation Based on Key Pixels. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(12): 5657-5673 (2017) - [c19]Ronghua Shang, Weitong Zhang, Yijing Yuan, Licheng Jiao:
Markov-Potts Prior Model and Fuzzy Membership Based Nonparametric SAR Image Change Detection. BIC-TA 2017: 533-543 - [c18]Ronghua Shang, Weitong Zhang, Licheng Jiao:
Detection in SAR Images Based on Histogram and Improved Elitist Genetic Fuzzy Clustering. ICCCS (2) 2017: 541-553 - [c17]Ronghua Shang, Yijing Yuan, Bingqi Du, Licheng Jiao:
A Memetic Algorithm Based on Decomposition and Extended Search for Multi-Objective Capacitated Arc Routing Problem. SEAL 2017: 272-283 - [c16]Ronghua Shang, Weitong Zhang, Feng Li, Licheng Jiao, Rustam Stolkin:
Multi-objective artificial immune algorithm for fuzzy clustering based on multiple kernels. SSCI 2017: 1-8 - 2016
- [j30]Tianyu Liu, Licheng Jiao, Wenping Ma, Jingjing Ma, Ronghua Shang:
Cultural quantum-behaved particle swarm optimization for environmental/economic dispatch. Appl. Soft Comput. 48: 597-611 (2016) - [j29]Ronghua Shang, Bingqi Du, Hongna Ma, Licheng Jiao, Yu Xue, Rustam Stolkin:
Immune clonal algorithm based on directed evolution for multi-objective capacitated arc routing problem. Appl. Soft Comput. 49: 748-758 (2016) - [j28]Ronghua Shang, Kun Zhang, Licheng Jiao, Jianshe Wu:
Discrete polynary coding immune clonal selection-based joint subcarrier and power allocation in uplink cognitive OFDM network. Int. J. Commun. Syst. 29(1): 64-83 (2016) - [j27]Ronghua Shang, Zhu Zhang, Licheng Jiao, Chiyang Liu, Yangyang Li:
Self-representation based dual-graph regularized feature selection clustering. Neurocomputing 171: 1242-1253 (2016) - [j26]Ronghua Shang, Weitong Zhang, Licheng Jiao:
Circularly Searching Core Nodes Based Label Propagation Algorithm for Community Detection. Int. J. Pattern Recognit. Artif. Intell. 30(8): 1659024:1-1659024:22 (2016) - [j25]Tianyu Liu, Licheng Jiao, Wenping Ma, Jingjing Ma, Ronghua Shang:
A new quantum-behaved particle swarm optimization based on cultural evolution mechanism for multiobjective problems. Knowl. Based Syst. 101: 90-99 (2016) - [j24]Ronghua Shang, Wenbing Wang, Rustam Stolkin, Licheng Jiao:
Subspace learning-based graph regularized feature selection. Knowl. Based Syst. 112: 152-165 (2016) - [j23]Yaoguo Zheng, Licheng Jiao, Ronghua Shang, Biao Hou, Xiangrong Zhang:
Local Collaborative Representation With Adaptive Dictionary Selection for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 13(10): 1482-1486 (2016) - [j22]Ronghua Shang, Zhu Zhang, Licheng Jiao, Wenbing Wang, Shuyuan Yang:
Global discriminative-based nonnegative spectral clustering. Pattern Recognit. 55: 172-182 (2016) - [j21]Juanjuan Luo, Licheng Jiao, Ronghua Shang, Fang Liu:
Learning simultaneous adaptive clustering and classification via MOEA. Pattern Recognit. 60: 37-50 (2016) - [j20]Ronghua Shang, Yang Li, Licheng Jiao:
Co-evolution-based immune clonal algorithm for clustering. Soft Comput. 20(4): 1503-1519 (2016) - [j19]Ronghua Shang, Hongna Ma, Jia Wang, Licheng Jiao, Rustam Stolkin:
Immune clonal selection algorithm for capacitated arc routing problem. Soft Comput. 20(6): 2177-2204 (2016) - [j18]Yangyang Li, Guoli Yang, Haiyang He, Licheng Jiao, Ronghua Shang:
A study of large-scale data clustering based on fuzzy clustering. Soft Comput. 20(8): 3231-3242 (2016) - [j17]Ronghua Shang, Pingping Tian, Licheng Jiao, Rustam Stolkin, Jie Feng, Biao Hou, Xiangrong Zhang:
A Spatial Fuzzy Clustering Algorithm With Kernel Metric Based on Immune Clone for SAR Image Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(4): 1640-1652 (2016) - [j16]Ronghua Shang, Kaiyun Dai, Licheng Jiao, Rustam Stolkin:
Improved Memetic Algorithm Based on Route Distance Grouping for Multiobjective Large Scale Capacitated Arc Routing Problems. IEEE Trans. Cybern. 46(4): 1000-1013 (2016) - [c15]Ronghua Shang, Weitong Zhang, Ailing Wen, Kun Zhang, Licheng Jiao:
On the use of immune clone optimization for unconstrained multi-objective resource allocation in the cognitive OFDMA networks. CEC 2016: 806-813 - [c14]Ronghua Shang, Pingping Tian, Ailing Wen, Wenzhan Liu, Licheng Jiao:
An intuitionistic fuzzy possibilistic C-means clustering based on genetic algorithm. CEC 2016: 941-947 - 2015
- [j15]Handing Wang, Licheng Jiao, Ronghua Shang, Shan He, Fang Liu:
A Memetic Optimization Strategy Based on Dimension Reduction in Decision Space. Evol. Comput. 23(1): 69-100 (2015) - [j14]Yangyang Li, Yang Wang, Jing Chen, Licheng Jiao, Ronghua Shang:
Overlapping community detection through an improved multi-objective quantum-behaved particle swarm optimization. J. Heuristics 21(4): 549-575 (2015) - [j13]Yangyang Li, Licheng Jiao, Ronghua Shang, Rustam Stolkin:
Dynamic-context cooperative quantum-behaved particle swarm optimization based on multilevel thresholding applied to medical image segmentation. Inf. Sci. 294: 408-422 (2015) - [c13]Ronghua Shang, Licheng Jiao, Hao Xu, Yangyang Li:
Quantum immune clone for solving constrained multi-objective optimization. CEC 2015: 3049-3056 - 2014
- [j12]Licheng Jiao, Juanjuan Luo, Ronghua Shang, Fang Liu:
A modified objective function method with feasible-guiding strategy to solve constrained multi-objective optimization problems. Appl. Soft Comput. 14: 363-380 (2014) - [j11]Ronghua Shang, Jia Wang, Licheng Jiao, Yuying Wang:
An Improved Decomposition-Based Memetic Algorithm for Multi-Objective Capacitated Arc Routing Problem. Appl. Soft Comput. 19: 343-361 (2014) - [j10]Ronghua Shang, Liping Qi, Licheng Jiao, Rustam Stolkin, Yangyang Li:
Change detection in SAR images by artificial immune multi-objective clustering. Eng. Appl. Artif. Intell. 31: 53-67 (2014) - [j9]Ronghua Shang, Yuying Wang, Jia Wang, Licheng Jiao, Shuo Wang, Liping Qi:
A multi-population cooperative coevolutionary algorithm for multi-objective capacitated arc routing problem. Inf. Sci. 277: 609-642 (2014) - [j8]Ronghua Shang, Licheng Jiao, Yujing Ren, Jia Wang, Yangyang Li:
Immune clonal coevolutionary algorithm for dynamic multiobjective optimization. Nat. Comput. 13(3): 421-445 (2014) - [j7]Ronghua Shang, Licheng Jiao, Yujing Ren, Lin Li, Luping Wang:
Quantum immune clonal coevolutionary algorithm for dynamic multiobjective optimization. Soft Comput. 18(4): 743-756 (2014) - [c12]Ronghua Shang, Kun Zhang, Licheng Jiao, Wei Fang, Xiangrong Zhang, Xiaolin Tian:
A novel algorithm for many-objective dimension reductions: Pareto-PCA-NSGA-II. IEEE Congress on Evolutionary Computation 2014: 1974-1981 - 2013
- [j6]Licheng Jiao, Handing Wang, Ronghua Shang, Fang Liu:
A co-evolutionary multi-objective optimization algorithm based on direction vectors. Inf. Sci. 228: 90-112 (2013) - [j5]Licheng Jiao, Lin Li, Ronghua Shang, Fang Liu, Rustam Stolkin:
A novel selection evolutionary strategy for constrained optimization. Inf. Sci. 239: 122-141 (2013) - [j4]Yangyang Li, Peidao Li, Bo Wu, Licheng Jiao, Ronghua Shang:
Kernel clustering using a hybrid memetic algorithm. Nat. Comput. 12(4): 605-615 (2013) - 2012
- [j3]Ronghua Shang, Licheng Jiao, Fang Liu, Wenping Ma:
A Novel Immune Clonal Algorithm for MO Problems. IEEE Trans. Evol. Comput. 16(1): 35-50 (2012) - 2011
- [j2]Fanhua Shang, Licheng Jiao, Jiarong Shi, Maoguo Gong, Ronghua Shang:
Fast density-weighted low-rank approximation spectral clustering. Data Min. Knowl. Discov. 23(2): 345-378 (2011) - [c11]Yajuan Ma, Ruochen Liu, Ronghua Shang:
A Hybrid Dynamic Multi-objective Immune Optimization Algorithm Using Prediction Strategy and Improved Differential Evolution Crossover Operator. ICONIP (2) 2011: 435-444 - 2010
- [j1]Wenge Zhang, Fang Liu, Licheng Jiao, Biao Hou, Shuang Wang, Ronghua Shang:
SAR Image Despeckling Using Edge Detection and Feature Clustering in Bandelet Domain. IEEE Geosci. Remote. Sens. Lett. 7(1): 131-135 (2010)
2000 – 2009
- 2009
- [c10]Maoguo Gong, Licheng Jiao, Wenping Ma, Ronghua Shang:
Hybrid Immune Algorithm with intelligent recombination. IEEE Congress on Evolutionary Computation 2009: 1807-1814 - [c9]Yangyang Li, Hongzhu Shi, Maoguo Gong, Ronghua Shang:
Quantum-inspired evolutionary clustering algorithm based on manifold distance. GEC Summit 2009: 871-874 - 2006
- [c8]Wenping Ma, Ronghua Shang, Licheng Jiao:
A Novel Clonal Selection Algorithm for Face Detection. Australian Conference on Artificial Intelligence 2006: 799-807 - [c7]Ronghua Shang, Wenping Ma:
Immune Clonal MO Algorithm for ZDT Problems. ICNC (2) 2006: 100-109 - [c6]Ronghua Shang, Wenping Ma, Wei Zhang:
Immune Clonal MO Algorithm for 0/1 Knapsack Problems. ICNC (1) 2006: 870-878 - [c5]Wenping Ma, Ronghua Shang:
SAR Image Classification Based on Clonal Selection Algorithm. ICNC (1) 2006: 927-934 - [c4]Wenping Ma, Licheng Jiao, Maoguo Gong, Ronghua Shang:
Immune Clonal Selection Evolutionary Strategy for Constrained Optimization. PRICAI 2006: 661-670 - 2005
- [c3]Ronghua Shang, Licheng Jiao, Maoguo Gong, Bin Lu:
Clonal Selection Algorithm for Dynamic Multiobjective Optimization. CIS (1) 2005: 846-851 - [c2]Licheng Jiao, Maoguo Gong, Ronghua Shang, Haifeng Du, Bin Lu:
Clonal Selection with Immune Dominance and Anergy Based Multiobjective Optimization. EMO 2005: 474-489 - [c1]Maoguo Gong, Licheng Jiao, Haifeng Du, Ronghua Shang, Bin Lu:
Performance assessment of an artificial immune system multiobjective optimizer by two improved metrics. GECCO 2005: 373-374
Coauthor Index
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