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Wenbin Qian
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2020 – today
- 2024
- [j64]Yangtao Chen, Wenbin Qian:
Multiple reference points-based multi-objective feature selection for multi-label learning. Appl. Intell. 54(6): 4952-4978 (2024) - [j63]Wenbin Qian, Lijuan Wan, Wenhao Shu:
Semi-supervised feature selection based on discernibility matrix and mutual information. Appl. Intell. 54(13-14): 7278-7295 (2024) - [j62]Wenhao Shu, Qiang Xia, Wenbin Qian:
Label distribution feature selection based on label-specific features. Appl. Intell. 54(19): 9195-9212 (2024) - [j61]Wenhao Shu, Yichen Hu, Wenbin Qian:
Multi-label feature selection for missing labels by granular-ball based mutual information. Appl. Intell. 54(23): 12589-12612 (2024) - [j60]Wenbin Qian, Jinfei Ding, Yihui Li
, Jintao Huang:
Label disambiguation-based feature selection for partial label learning via fuzzy dependency and feature discernibility. Appl. Soft Comput. 161: 111692 (2024) - [j59]Wenbin Qian, Yinsong Xiong, Weiping Ding
Label correlations-based multi-label feature selection with label enhancement. Eng. Appl. Artif. Intell. 127(Part A): 107310 (2024) - [j58]Pingzhu Liu, Wenbin Qian, Yinglong Wang:
YWnet: A convolutional block attention-based fusion deep learning method for complex underwater small target detection. Ecol. Informatics 79: 102401 (2024) - [j57]Wenhao Shu, Qiang Xia
Neighborhood multigranulation rough sets for cost-sensitive feature selection on hybrid data. Neurocomputing 565: 126990 (2024) - [j56]Xiwen Lu, Wenbin Qian, Shiming Dai, Jintao Huang:
Label distribution feature selection based on hierarchical structure and neighborhood granularity. Inf. Fusion 112: 102588 (2024) - [j55]Jinfei Ding, Wenbin Qian, Yihui Li
Partial label feature selection via label disambiguation and neighborhood mutual information. Inf. Sci. 680: 121163 (2024) - [j54]Wenhao Shu, Shipeng Li, Wenbin Qian:
A composite entropy-based uncertainty measure guided attribute reduction for imbalanced mixed-type data. J. Intell. Fuzzy Syst. 46(3): 7307-7325 (2024) - [j53]Wenbin Qian, Yanqiang Tu, Jintao Huang
Partial multi-label learning via robust feature selection and relevance fusion optimization. Knowl. Based Syst. 286: 111365 (2024) - [j52]Wenhao Shu, Dongtao Cao, Wenbin Qian, Shipeng Li:
Neighborhood relation-based incremental label propagation algorithm for partially labeled hybrid data. Mach. Learn. 113(9): 6293-6339 (2024) - [j51]Wenhao Shu, Ting Chen, Dongtao Cao, Wenbin Qian:
Incremental feature selection based on uncertainty measure for dynamic interval-valued data. Int. J. Mach. Learn. Cybern. 15(4): 1453-1472 (2024) - [j50]Wenhao Shu, Dongtao Cao, Wenbin Qian:
Multi-label feature selection via spectral clustering-based label enhancement and manifold distribution consistency. Int. J. Mach. Learn. Cybern. 15(10): 4669-4693 (2024) - [j49]Wenbin Qian, Jiale Liu, Wenji Yang, Jintao Huang, Weiping Ding:
Partial label feature selection based on noisy manifold and label distribution. Pattern Recognit. 156: 110791 (2024) - [j48]Wenbin Qian
Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity. IEEE Trans. Knowl. Data Eng. 36(11): 5797-5810 (2024) - [c13]Mingfeng Zha, Yunqiang Pei, Guoqing Wang, Tianyu Li
Weakly-Supervised Mirror Detection via Scribble Annotations. AAAI 2024: 6953-6961 - 2023
- [j47]Wenhao Shu, Zhenchao Yan, Jianhui Yu, Wenbin Qian:
Information gain-based semi-supervised feature selection for hybrid data. Appl. Intell. 53(6): 7310-7325 (2023) - [j46]Wenhao Shu, Jianhui Yu, Ting Chen, Wenbin Qian:
Neighbourhood discernibility degree-based semisupervised feature selection for partially labelled mixed-type data with granular ball. Appl. Intell. 53(19): 22467-22487 (2023) - [j45]Wenbin Qian, Wenyong Ruan, Yihui Li
Granular ball-based label enhancement for dimensionality reduction in multi-label data. Appl. Intell. 53(20): 24008-24033 (2023) - [j44]Wenhao Shu, Jianhui Yu, Zhenchao Yan, Wenbin Qian:
Semi-supervised feature selection for partially labeled mixed-type data based on multi-criteria measure approach. Int. J. Approx. Reason. 153: 258-279 (2023) - [j43]Wenbin Qian, Yihui Li
Disambiguation-based partial label feature selection via feature dependency and label consistency. Inf. Fusion 94: 152-168 (2023) - [j42]Wenbin Qian, Jintao Huang
A survey on multi-label feature selection from perspectives of label fusion. Inf. Fusion 100: 101948 (2023) - [j41]Wenbin Qian, Fankang Xu, Jin Qian, Wenhao Shu, Weiping Ding
Multi-label feature selection based on rough granular-ball and label distribution. Inf. Sci. 650: 119698 (2023) - [j40]Wenhao Shu, Ting Chen, Wenbin Qian, Zhenchao Yan:
A multi-measure feature selection method for decision systems with preference relation. J. Intell. Fuzzy Syst. 45(2): 3379-3392 (2023) - [j39]Wenbin Qian, Yanqiang Tu, Jin Qian, Wenhao Shu:
Partial multi-label learning via three-way decision-based tri-training. Knowl. Based Syst. 276: 110743 (2023) - [j38]Wenbin Qian, Fankang Xu, Jintao Huang
A novel granular ball computing-based fuzzy rough set for feature selection in label distribution learning. Knowl. Based Syst. 278: 110898 (2023) - [j37]Jintao Huang
Online Label Distribution Learning Using Random Vector Functional-Link Network. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1177-1190 (2023) - [j36]Jintao Huang
Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1377-1393 (2023) - [j35]Jintao Huang
Joint Label Enhancement and Label Distribution Learning via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System. IEEE Trans. Fuzzy Syst. 31(9): 3290-3304 (2023) - 2022
- [j34]Wenhao Shu, Wenbin Qian, Yonghong Xie:
Incremental neighborhood entropy-based feature selection for mixed-type data under the variation of feature set. Appl. Intell. 52(5): 4792-4806 (2022) - [j33]Wenbin Qian, Ping Dong, Shiming Dai, Jintao Huang
Incomplete label distribution feature selection based on neighborhood-tolerance discrimination index. Appl. Soft Comput. 130: 109693 (2022) - [j32]Wenhao Shu, Zhenchao Yan, Ting Chen, Jianhui Yu, Wenbin Qian:
Information granularity-based incremental feature selection for partially labeled hybrid data. Intell. Data Anal. 26(1): 33-56 (2022) - [j31]Wenbin Qian, Yangyang Zhou, Jin Qian, Yinglong Wang:
Cost-sensitive sequential three-way decision for information system with fuzzy decision. Int. J. Approx. Reason. 149: 85-103 (2022) - [j30]Wenbin Qian, Yinsong Xiong, Jun Yang, Wenhao Shu:
Feature selection for label distribution learning via feature similarity and label correlation. Inf. Sci. 582: 38-59 (2022) - [j29]Wenbin Qian, Qianzhi Ye, Yihui Li
Relevance-based label distribution feature selection via convex optimization. Inf. Sci. 607: 322-345 (2022) - [j28]Wenbin Qian, Chuanzhen Xiong, Yuhua Qian, Yinglong Wang:
Label enhancement-based feature selection via fuzzy neighborhood discrimination index. Knowl. Based Syst. 250: 109119 (2022) - [j27]Wenbin Qian, Qianzhi Ye, Yihui Li
Label distribution feature selection with feature weights fusion and local label correlations. Knowl. Based Syst. 256: 109778 (2022) - [j26]Mingfeng Zha
Multifeature Transformation and Fusion-Based Ship Detection With Small Targets and Complex Backgrounds. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j25]Wenbin Qian, Ping Dong, Yinglong Wang, Shiming Dai, Jintao Huang
Local rough set-based feature selection for label distribution learning with incomplete labels. Int. J. Mach. Learn. Cybern. 13(8): 2345-2364 (2022) - 2021
- [j24]Xuandong Long, Wenbin Qian, Yinglong Wang, Wenhao Shu:
Cost-sensitive feature selection on multi-label data via neighborhood granularity and label enhancement. Appl. Intell. 51(4): 2210-2232 (2021) - [j23]Wenbin Qian, Chuanzhen Xiong, Yinglong Wang:
A ranking-based feature selection for multi-label classification with fuzzy relative discernibility. Appl. Soft Comput. 102: 106995 (2021) - [j22]Mingfeng Zha
A Lightweight YOLOv4-Based Forestry Pest Detection Method Using Coordinate Attention and Feature Fusion. Entropy 23(12): 1587 (2021) - [j21]Wenbin Qian, Jintao Huang
Label distribution feature selection for multi-label classification with rough set. Int. J. Approx. Reason. 128: 32-55 (2021) - [j20]Chuanzhen Xiong, Wenbin Qian, Yinglong Wang, Jintao Huang
Feature selection based on label distribution and fuzzy mutual information. Inf. Sci. 574: 297-319 (2021) - [j19]Pawel Kopciewicz
Simulation and Optimization Studies of the LHCb Beetle Readout ASIC and Machine Learning Approach for Pulse Shape Reconstruction. Sensors 21(18): 6075 (2021) - 2020
- [j18]Wenbin Qian, Xuandong Long, Yinglong Wang, Yonghong Xie:
Multi-label feature selection based on label distribution and feature complementarity. Appl. Soft Comput. 90: 106167 (2020) - [j17]Wenbin Qian, Sudan Yu, Jun Yang, Yinglong Wang, Jihao Zhang:
Multi-label feature selection based on information entropy fusion in multi-source decision system. Evol. Intell. 13(2): 255-268 (2020) - [j16]Wenhao Shu, Wenbin Qian, Yonghong Xie:
Incremental feature selection for dynamic hybrid data using neighborhood rough set. Knowl. Based Syst. 194: 105516 (2020) - [j15]Wenbin Qian, Jintao Huang
Mutual information-based label distribution feature selection for multi-label learning. Knowl. Based Syst. 195: 105684 (2020)
2010 – 2019
- 2019
- [j14]Wenhao Shu, Wenbin Qian
Knowledge Acquisition Approach Based on Incremental Objects From Data With Missing Values. IEEE Access 7: 54863-54878 (2019) - [j13]Wenhao Shu, Wenbin Qian, Yonghong Xie, Zhaoping Tang:
An Efficient Uncertainty Measure-based Attribute Reduction Approach for Interval-valued Data with Missing Values. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(6): 931-947 (2019) - [j12]Wenhao Shu, Wenbin Qian, Yonghong Xie:
Incremental approaches for feature selection from dynamic data with the variation of multiple objects. Knowl. Based Syst. 163: 320-331 (2019) - [c12]Jintao Huang
Cost-Sensitive Feature Selection Based on Label Significance and Positive Region. ICMLC 2019: 1-7 - 2018
- [j11]Wenbin Qian, Wenhao Shu:
Attribute reduction in incomplete ordered information systems with fuzzy decision. Appl. Soft Comput. 73: 242-253 (2018) - [j10]John Back
Laura++: A Dalitz plot fitter. Comput. Phys. Commun. 231: 198-242 (2018) - [j9]Wenhao Shu, Wenbin Qian, Jun Yang:
An efficient approximation algorithm for the extension facility location problem on torus internetwork topology. Int. J. Comput. Sci. Math. 9(2): 189-196 (2018) - [c11]Lisha Peng, Wenbin Qian, Yinglong Wang, Wenhao Shu:
A Three-Way Decisions Approach for Computing Approximations in Continuous Data. FSDM 2018: 374-380 - [c10]Binglong Wu, Wenbin Qian, Qin Huang, Sudan Yu:
Cost-Sensitive Multi-Label Feature Selection Algorithm Based on Positive Approximation. FSDM 2018: 381-386 - [c9]Qin Huang, Wenbin Qian, Wenhao Shu, Binglong Wu, Shuangshuang Feng:
Multi-Label Cost-Sensitive Feature Selection Algorithm In Incomplete Data. ICMLC 2018: 56-62 - [c8]Yinglong Wang, Qingzhi Xie, Wenbin Qian, Qin Huang:
Cost-Sensitive Attribute Reduction Algorithm Based on Neighborhood Rough Sets in Incomplete Data. ICNC-FSKD 2018: 872-876 - 2017
- [c7]Wenbin Qian, Jun Yang, Wenhao Shu, Hong Deng, Jun Liu:
Approximate optimization for facility location on two-dimensional internetwork topology. ICNC-FSKD 2017: 1905-1909 - [c6]Wenbin Qian, Wenhao Shu, Jun Liu, Yinglong Wang:
Feature Selection based on Discernibility Function in Incomplete Data with Fuzzy Decision. ICTAI 2017: 899-904 - 2016
- [j8]Wenhao Shu, Wenbin Qian, Changsheng Zhang:
Feature Selection from the Perspective of Knowledge Granulation in Dynamic Set-valued Information System. J. Inf. Sci. Eng. 32(3): 783-798 (2016) - 2015
- [j7]Wenhao Shu, Wenbin Qian:
An incremental approach to attribute reduction from dynamic incomplete decision systems in rough set theory. Data Knowl. Eng. 100: 116-132 (2015) - [j6]Wenbin Qian, Wenhao Shu:
Mutual information criterion for feature selection from incomplete data. Neurocomputing 168: 210-220 (2015) - [j5]Wenbin Qian, Wenhao Shu, Yonghong Xie, Bingru Yang, Jun Yang:
Feature Selection using Compact Discernibility Matrix-based Approach in Dynamic Incomplete Decision System. J. Inf. Sci. Eng. 31(2): 509-527 (2015) - [c5]Wenbin Qian, Wenhao Shu, Jun Yang, Yinglong Wang:
Cost-Sensitive Feature Selection on Heterogeneous Data. PAKDD (2) 2015: 397-408 - 2014
- [j4]Wenhao Shu, Wenbin Qian:
A fast approach to attribute reduction from perspective of attribute measures in incomplete decision systems. Knowl. Based Syst. 72: 60-71 (2014) - [c4]Wenbin Qian, Wenhao Shu, Yinglong Wang:
A Consistency-Based Dimensionality Reduction Algorithm in Incomplete Data. APWeb 2014: 576-583 - [c3]Wenhao Shu, Wenbin Qian:
Mutual Information-Based Feature Selection from Set-Valued Data. ICTAI 2014: 733-739 - 2013
- [j3]Wanmao Ni
Discrimination of malignant neutrophils of chronic myelogenous leukemia from normal neutrophils by support vector machine. Comput. Biol. Medicine 43(9): 1192-1195 (2013) - [c2]Wenbin Qian, Bingru Yang, Yonghong Xie, Hui Li:
A rule extraction algorithm based on compound attribute measure in decision systems. FSKD 2013: 407-411 - [c1]Wenbin Qian, Yonghong Xie, Bingru Yang:
A dynamic attribute reduction algorithm based on compound attribute measure. GrC 2013: 236-241 - 2011
- [j2]Wu Qu, Haifeng Sui, Bingru Yang, Wenbin Qian:
Improving protein secondary structure prediction using a multi-modal BP method. Comput. Biol. Medicine 41(10): 946-959 (2011) - 2010
- [j1]Zhangyan Xu, Shichao Shang, Wenbin Qian, Wenhao Shu:
A method for fuzzy risk analysis based on the new similarity of trapezoidal fuzzy numbers. Expert Syst. Appl. 37(3): 1920-1927 (2010)
Coauthor Index
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last updated on 2024-10-23 20:35 CEST by the dblp team
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