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2020 – today
- 2022
[j84]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)- [j83]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) - [j82]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) - [j81]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) - [j80]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) - [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) - 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
[j84] [j83] [j82] [j81] [j80] [j79] [j78] [j77] [j76] [j75] [j74] [j73] [j72] [j71] [j70] [i1] [j69] [j68] [j67] [j66] [j65] [j64] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [c21] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [c20] [j35] [j34] [j33] [j32] [j31] [c19] [c18] [c17] [c16] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [c15] [c14] [j15] [j14] [j13] [c13] [j12] [j11] [j10] [j9] [j8] [j7] [c12] [j6] [j5] [j4] [j3] [j2] [j1] [c10] [c8] [c4] [c3] [c2] [c1]