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Lin Sun 0002
Person information
- affiliation: Henan Normal University, College of Computer and Information Engineering, Xinxiang, China
Other persons with the same name
- Lin Sun — disambiguation page
- Lin Sun 0001
— Shandong University of Science and Technology, Geomatics College, Qingdao, China (and 1 more)
- Lin Sun 0003 — University of Cambridge, Computer Laboratory, UK
- Lin Sun 0004
- Lin Sun 0005 — Qingdao University, College of Liberal Arts, China
- Lin Sun 0006
- Lin Sun 0007
- Lin Sun 0008 — National University of Defense Technology, College of Information System and Management, Changsha, China
- Lin Sun 0009 — Telecom & Management SudParis, France
- Lin Sun 0010 — Harbin Institute of Technology, Harbin, China
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2020 – today
- 2024
- [j64]Lin Sun, Yuxuan Ma, Weiping Ding, Jiucheng Xu:
Sparse feature selection via local feature and high-order label correlation. Appl. Intell. 54(11-12): 565-591 (2024) - [j63]Lin Sun, Hanbo Liang, Weiping Ding, Jiucheng Xu, Baofang Chang:
CMEFS: chaotic mapping-based mayfly optimization with fuzzy entropy for feature selection. Appl. Intell. 54(15-16): 7397-7417 (2024) - [j62]Lin Sun
Adaptive fuzzy multi-neighborhood feature selection with hybrid sampling and its application for class-imbalanced data. Appl. Soft Comput. 149(Part A): 110968 (2024) - [j61]Lin Sun
Noise-resistant fuzzy multineighbourhood rough set-based feature selection with label enhancement and its application for multilabel classification. Appl. Soft Comput. 167: 112284 (2024) - [j60]Lin Sun
LSFSR: Local label correlation-based sparse multilabel feature selection with feature redundancy. Inf. Sci. 667: 120501 (2024) - [j59]Lin Sun
Fuzzy Neighborhood-Based Manifold Learning and Feature Weight Matrix for Multilabel Feature Selection. Knowl. Based Syst. 299: 112125 (2024) - [j58]Lin Sun, Yusheng Chen, Weiping Ding, Jiucheng Xu:
LEFSA: label enhancement-based feature selection with adaptive neighborhood via ant colony optimization for multilabel learning. Int. J. Mach. Learn. Cybern. 15(2): 533-558 (2024) - [j57]Lin Sun, Hanbo Liang, Weiping Ding, Jiucheng Xu:
Granular Ball Fuzzy Neighborhood Rough Sets-Based Feature Selection via Multiobjective Mayfly Optimization. IEEE Trans. Fuzzy Syst. 32(11): 6112-6124 (2024) - [c8]Juan Lyu
Joint Semantic Feature and Optical Flow Learning for Automatic Echocardiography Segmentation. ICIC (7) 2024: 160-171 - 2023
- [j56]Lin Sun
Feature selection using binary monarch butterfly optimization. Appl. Intell. 53(1): 706-727 (2023) - [j55]Lin Sun
AMFSA: Adaptive fuzzy neighborhood-based multilabel feature selection with ant colony optimization. Appl. Soft Comput. 138: 110211 (2023) - [j54]Lin Sun
Multiobjective sparrow search feature selection with sparrow ranking and preference information and its applications for high-dimensional data. Appl. Soft Comput. 147: 110837 (2023) - [j53]Lin Sun
TFSFB: Two-stage feature selection via fusing fuzzy multi-neighborhood rough set with binary whale optimization for imbalanced data. Inf. Fusion 95: 91-108 (2023) - [j52]Lin Sun, Xinya Wang, Weiping Ding, Jiucheng Xu, Huili Meng:
TSFNFS: two-stage-fuzzy-neighborhood feature selection with binary whale optimization algorithm. Int. J. Mach. Learn. Cybern. 14(2): 609-631 (2023) - [j51]Lin Sun, Shanshan Si, Weiping Ding, Jiucheng Xu, Yan Zhang:
BSSFS: binary sparrow search algorithm for feature selection. Int. J. Mach. Learn. Cybern. 14(8): 2633-2657 (2023) - [j50]Lin Sun, Shujing Sun, Weiping Ding, Xinyue Huang, Peiyi Fan, Kunyu Li, Leqi Chen:
Feature selection using symmetric uncertainty and hybrid optimization for high-dimensional data. Int. J. Mach. Learn. Cybern. 14(12): 4339-4360 (2023) - [j49]Lin Sun
Partial Multilabel Learning Using Fuzzy Neighborhood-Based Ball Clustering and Kernel Extreme Learning Machine. IEEE Trans. Fuzzy Syst. 31(7): 2277-2291 (2023) - 2022
- [j48]Lin Sun, Jiuxiao Zhang, Weiping Ding, Jiucheng Xu:
Mixed measure-based feature selection using the Fisher score and neighborhood rough sets. Appl. Intell. 52(15): 17264-17288 (2022) - [j47]Lin Sun
Two-stage-neighborhood-based multilabel classification for incomplete data with missing labels. Int. J. Intell. Syst. 37(10): 6773-6810 (2022) - [j46]Lin Sun, Xiaoying Qin, Weiping Ding, Jiucheng Xu:
Nearest neighbors-based adaptive density peaks clustering with optimized allocation strategy. Neurocomputing 473: 159-181 (2022) - [j45]Lin Sun, Jiuxiao Zhang, Weiping Ding, Jiucheng Xu:
Feature reduction for imbalanced data classification using similarity-based feature clustering with adaptive weighted K-nearest neighbors. Inf. Sci. 593: 591-613 (2022) - [j44]Lin Sun
AFNFS: Adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data. Inf. Sci. 612: 724-744 (2022) - [j43]Lin Sun
TSFNFR: Two-stage fuzzy neighborhood-based feature reduction with binary whale optimization algorithm for imbalanced data classification. Knowl. Based Syst. 256: 109849 (2022) - [j42]Lin Sun
Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy. IEEE Trans. Fuzzy Syst. 30(5): 1197-1211 (2022) - 2021
- [j41]Anhui Tan, Jiye Liang
Fuzzy rough discrimination and label weighting for multi-label feature selection. Neurocomputing 465: 128-140 (2021) - [j40]Lin Sun, Tianxiang Wang, Weiping Ding
Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification. Inf. Sci. 578: 887-912 (2021) - [j39]Lin Sun, Xiaoying Qin, Weiping Ding, Jiucheng Xu
Density peaks clustering based on k-nearest neighbors and self-recommendation. Int. J. Mach. Learn. Cybern. 12(7): 1913-1938 (2021) - [j38]Lin Sun
Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets. IEEE Trans. Fuzzy Syst. 29(1): 19-33 (2021) - 2020
- [j37]Miaomiao Huang
Multilabel Feature Selection Using Relief and Minimum Redundancy Maximum Relevance Based on Neighborhood Rough Sets. IEEE Access 8: 62011-62031 (2020) - [j36]Shiguang Zhang
Twin Least Squares Support Vector Regression of Heteroscedastic Gaussian Noise Model. IEEE Access 8: 94076-94088 (2020) - [j35]Enhui Shi
Multilabel Feature Selection Using Mutual Information and ML-ReliefF for Multilabel Classification. IEEE Access 8: 145381-145400 (2020) - [j34]Shiguang Zhang
LSSVR Model of G-L Mixed Noise-Characteristic with Its Applications. Entropy 22(6): 629 (2020) - [j33]Zhanao Xue, Liping Zhao, Lin Sun
Three-way decision models based on multigranulation support intuitionistic fuzzy rough sets. Int. J. Approx. Reason. 124: 147-172 (2020) - [j32]Lin Sun
Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems. Inf. Sci. 537: 401-424 (2020) - [j31]Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu:
Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems. Knowl. Based Syst. 192: 105373 (2020)
2010 – 2019
- 2019
- [j30]Lin Sun
An Adaptive Density Peaks Clustering Method With Fisher Linear Discriminant. IEEE Access 7: 72936-72955 (2019) - [j29]Shifeng Zhao
Intracranial Vascular Structure Extraction: A Machine Learning Approach. IEEE Access 7: 100933-100942 (2019) - [j28]Lin Sun
Hybrid Multilabel Feature Selection Using BPSO and Neighborhood Rough Sets for Multilabel Neighborhood Decision Systems. IEEE Access 7: 175793-175815 (2019) - [j27]Zhi Dou
Multiple Parameters Determination for Image and Video Reconstruction Using Genetic Algorithm and Generalized Stein's Unbiased Risk Estimation. IEEE Access 7: 177745-177760 (2019) - [j26]Lin Sun, Xiaoyu Zhang, Yu-Hua Qian, Jiucheng Xu
Joint neighborhood entropy-based gene selection method with fisher score for tumor classification. Appl. Intell. 49(4): 1245-1259 (2019) - [j25]Lin Sun
Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation. Complex. 2019: 4182148:1-4182148:20 (2019) - [j24]Lin Sun
A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures. Entropy 21(2): 138 (2019) - [j23]Lin Sun
An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets. Entropy 21(2): 155 (2019) - [j22]Shiguang Zhang
ν-Support Vector Regression Model Based on Gauss-Laplace Mixture Noise Characteristic for Wind Speed Prediction. Entropy 21(11): 1056 (2019) - [j21]Lin Sun
Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification. Inf. Sci. 502: 18-41 (2019) - [j20]Lin Sun, Wei Wang, Jiucheng Xu, Shiguang Zhang:
Improved LLE and neighborhood rough sets-based gene selection using Lebesgue measure for cancer classification on gene expression data. J. Intell. Fuzzy Syst. 37(4): 5731-5742 (2019) - [j19]Lin Sun, Lanying Wang, Yuhua Qian, Jiucheng Xu, Shiguang Zhang:
Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems. Knowl. Based Syst. 186 (2019) - [j18]Ming Li, Di Xiao, Ye Zhu
Commutative fragile zero-watermarking and encryption for image integrity protection. Multim. Tools Appl. 78(16): 22727-22742 (2019) - [j17]Shiguang Zhang, Ting Zhou, Lin Sun
Kernel Ridge Regression Model Based on Beta-Noise and Its Application in Short-Term Wind Speed Forecasting. Symmetry 11(2): 282 (2019) - 2018
- [j16]Lin Sun
An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE. IEEE Access 6: 68892-68909 (2018) - [j15]Huiyu Mu
Feature genes selection using Fisher transformation method. J. Intell. Fuzzy Syst. 34(6): 4291-4300 (2018) - [j14]Lin Sun, Jiucheng Xu, Shangwang Liu, Shiguang Zhang, Yuan Li, Chang'an Shen:
A robust image watermarking scheme using Arnold transform and BP neural network. Neural Comput. Appl. 30(8): 2425-2440 (2018) - [j13]Ming Li
A VQ-Based Joint Fingerprinting and Decryption Scheme for Secure and Efficient Image Distribution. Secur. Commun. Networks 2018: 4313769:1-4313769:11 (2018) - [c7]Wei Wang, Keliang Li, Hehe Lv, Lin Sun, Hongjun Zhang, Jinling Shi, Shiguang Zhang, Yun Zhou, Yuan Zhao, Jingjing Xv:
An Algorithm for Describing the Convex and Concave Shape of Protein Surface. ICPCSEE (2) 2018: 17-26 - 2017
- [j12]Wei Wang, Lin Sun, Shiguang Zhang, Hongjun Zhang, Jinling Shi, Tianhe Xu, Keliang Li:
Analysis and prediction of single-stranded and double-stranded DNA binding proteins based on protein sequences. BMC Bioinform. 18(1): 300 (2017) - 2015
- [j11]Jiucheng Xu, Yangyang Liu, Lina Du, Lin Sun:
基于三支决策的支持向量机增量学习方法 (Three-way Decisions-based Incremental Learning Method for Support Vector Machine). 计算机科学 42(6): 82-87 (2015) - [c6]Yangyang Liu, Jiucheng Xu, Lin Sun, Lina Du:
Decisions Tree Learning Method Based on Three-Way Decisions. RSFDGrC 2015: 389-400 - 2014
- [j10]Lin Sun, Jiucheng Xu, Yuhui Li:
A Feature Selection Approach of Inconsistent Decision Systems in Rough Set. J. Comput. 9(6): 1333-1340 (2014) - [j9]Lin Sun, Jiucheng Xu, Yangyang Liu:
Concept Granule-Based Granular Lattice and Application in Knowledge Retrieval. J. Softw. 9(7): 1976-1983 (2014) - 2013
- [j8]Yun Tian, Fuqing Duan, Ke Lu, Mingquan Zhou, Zhongke Wu, Qingjun Wang, Lin Sun, Lizhi Xie:
A flexible 3D cerebrovascular extraction from TOF-MRA images. Neurocomputing 121: 392-400 (2013) - [j7]Jiucheng Xu, Yun-peng Gao, Shuangqun Li, Lin Sun, Tianhe Xu, Jinyu Ren:
A Greedy Correlation Measure Based Attribute Clustering Algorithm for Gene Selection. J. Comput. 8(4): 951-959 (2013) - [j6]Lin Sun, Ning Zhong, Jiucheng Xu:
Granularity-Based User-Centric Multi-Strategies and Application in Knowledge Retrieval. J. Comput. 8(8): 2101-2109 (2013) - [j5]Lin Sun, Jiucheng Xu, Yuwen Hu, Lina Du:
Granular Space-Based Feature Selection and Its Applications. J. Softw. 8(4): 817-826 (2013) - [j4]Jiucheng Xu, Tianhe Xu, Lin Sun, Jinyu Ren:
An Improved Correlation Measure-based SOM Clustering Algorithm for Gene Selection. J. Softw. 8(12): 3082-3087 (2013) - 2012
- [j3]Lin Sun, Jiucheng Xu, Zhanao Xue, Jinyu Ren:
Decision Degree-based Decision Tree Technology for Rule Extraction. J. Comput. 7(7): 1769-1779 (2012) - [j2]Lin Sun, Jiucheng Xu, Yun Tian:
Feature selection using rough entropy-based uncertainty measures in incomplete decision systems. Knowl. Based Syst. 36: 206-216 (2012) - 2011
- [c5]Jiucheng Xu, Ling-jun Zhang, Lin Sun, Yun-peng Gao:
Gene selection algorithm combining ReliefF and relative neighborhood rough set. GrC 2011: 745-749 - 2010
- [j1]Jiucheng Xu, Lin Sun:
A New Knowledge Reduction Algorithm Based on Decision Power in Rough Set. Trans. Rough Sets 12: 76-89 (2010) - [c4]Lin Sun, Jiucheng Xu, Shuangqun Li:
Knowledge Reduction Based on Granular Computing from Decision Information Systems. RSKT 2010: 46-53
2000 – 2009
- 2009
- [c3]Jiucheng Xu, Lin Sun:
Research of Knowledge Reduction Based on New Conditional Entropy. RSKT 2009: 144-151 - 2008
- [c2]Jiucheng Xu, Lin Sun:
New Reduction Algorithm Based on Decision Power of Decision Table. RSKT 2008: 180-188 - 2007
- [c1]Jiucheng Xu, Lin Sun:
Knowledge Reduction and its Rough Entropy Representation of Decision Tables in Rough Set. GrC 2007: 249-
Coauthor Index
[j64] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j40] [j39] [j38] [j37] [j35] [j32] [j31] [j30] [j28] [j26] [j25] [j24] [j23] [j21] [j20] [j19] [j16] [j15] [j14] [j11] [c6] [j10] [j9] [j7] [j6] [j5] [j4] [j3] [j2] [c5] [j1] [c4] [c3] [c2] [c1]
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