A method for fuzzy risk analysis based on the new similarity of trapezoidal fuzzy numbers. - Zhangyan Xu; Shichao Shang 001; Wenbin Qian; Wenhao Shu (Expert Syst. Appl., 2010)

Improving protein secondary structure prediction using a multi-modal BP method. - Wu Qu; Haifeng Sui; Bingru Yang; Wenbin Qian (Comput. Biol. Medicine, 2011)

A rule extraction algorithm based on compound attribute measure in decision systems. - Wenbin Qian; Bingru Yang; Yonghong Xie; Hui Li (FSKD, 2013)

A dynamic attribute reduction algorithm based on compound attribute measure. - Wenbin Qian; Yonghong Xie; Bingru Yang (GrC, 2013)

Discrimination of malignant neutrophils of chronic myelogenous leukemia from normal neutrophils by support vector machine. - Wanmao Ni; Xiangmin Tong; Wenbin Qian; Jie Jin; Hongchan Zhao (Comput. Biol. Medicine, 2013)

A Consistency-Based Dimensionality Reduction Algorithm in Incomplete Data. - Wenbin Qian; Wenhao Shu; Yinglong Wang (APWeb, 2014)

Mutual Information-Based Feature Selection from Set-Valued Data. - Wenhao Shu; Wenbin Qian (ICTAI, 2014)

A fast approach to attribute reduction from perspective of attribute measures in incomplete decision systems. - Wenhao Shu; Wenbin Qian (Knowl. Based Syst., 2014)

Cost-Sensitive Feature Selection on Heterogeneous Data. - Wenbin Qian; Wenhao Shu; Jun Yang; Yinglong Wang (PAKDD (2), 2015)

An incremental approach to attribute reduction from dynamic incomplete decision systems in rough set theory. - Wenhao Shu; Wenbin Qian (Data Knowl. Eng., 2015)

Mutual information criterion for feature selection from incomplete data. - Wenbin Qian; Wenhao Shu (Neurocomputing, 2015)

Feature Selection using Compact Discernibility Matrix-based Approach in Dynamic Incomplete Decision System. - Wenbin Qian; Wenhao Shu; Yonghong Xie; Bingru Yang; Jun Yang (J. Inf. Sci. Eng., 2015)

Feature Selection from the Perspective of Knowledge Granulation in Dynamic Set-valued Information System. - Wenhao Shu; Wenbin Qian; Changsheng Zhang 005 (J. Inf. Sci. Eng., 2016)

Approximate optimization for facility location on two-dimensional internetwork topology. - Wenbin Qian; Jun Yang; Wenhao Shu; Hong Deng; Jun Liu (ICNC-FSKD, 2017)

Feature Selection based on Discernibility Function in Incomplete Data with Fuzzy Decision. - Wenbin Qian; Wenhao Shu; Jun Liu; Yinglong Wang (ICTAI, 2017)

A Three-Way Decisions Approach for Computing Approximations in Continuous Data. - Lisha Peng; Wenbin Qian; Yinglong Wang; Wenhao Shu (FSDM, 2018)

Cost-Sensitive Multi-Label Feature Selection Algorithm Based on Positive Approximation. - Binglong Wu; Wenbin Qian; Qin Huang; Sudan Yu (FSDM, 2018)

Multi-Label Cost-Sensitive Feature Selection Algorithm In Incomplete Data. - Qin Huang; Wenbin Qian; Wenhao Shu; Binglong Wu; Shuangshuang Feng (ICMLC, 2018)

Cost-Sensitive Attribute Reduction Algorithm Based on Neighborhood Rough Sets in Incomplete Data. - Yinglong Wang; Qingzhi Xie; Wenbin Qian; Qin Huang (ICNC-FSKD, 2018)

Attribute reduction in incomplete ordered information systems with fuzzy decision. - Wenbin Qian; Wenhao Shu (Appl. Soft Comput., 2018)

Laura++: A Dalitz plot fitter. - John Back; Tim Gershon; Paul Harrison; Thomas Latham; Daniel O'Hanlon; Wenbin Qian; Pablo del Amo Sanchez; Daniel C. Craik; Jelena Ilic; Juan Otalora Goicochea; Eugenia Puccio; Rafael Silva Coutinho; et al. (Comput. Phys. Commun., 2018)

An efficient approximation algorithm for the extension facility location problem on torus internetwork topology. - Wenhao Shu; Wenbin Qian; Jun Yang (Int. J. Comput. Sci. Math., 2018)

Cost-Sensitive Feature Selection Based on Label Significance and Positive Region. - Jintao Huang; Wenbin Qian; Binglong Wu; Yinglong Wang (ICMLC, 2019)

Knowledge Acquisition Approach Based on Incremental Objects From Data With Missing Values. - Wenhao Shu; Wenbin Qian; Yonghong Xie (IEEE Access, 2019)

An Efficient Uncertainty Measure-based Attribute Reduction Approach for Interval-valued Data with Missing Values. - Wenhao Shu; Wenbin Qian; Yonghong Xie; Zhaoping Tang (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019)

Incremental approaches for feature selection from dynamic data with the variation of multiple objects. - Wenhao Shu; Wenbin Qian; Yonghong Xie (Knowl. Based Syst., 2019)

Multi-label feature selection based on label distribution and feature complementarity. - Wenbin Qian; Xuandong Long; Yinglong Wang; Yonghong Xie (Appl. Soft Comput., 2020)

Multi-label feature selection based on information entropy fusion in multi-source decision system. - Wenbin Qian; Sudan Yu; Jun Yang; Yinglong Wang; Jihao Zhang (Evol. Intell., 2020)

Mutual information-based label distribution feature selection for multi-label learning. - Wenbin Qian; Jintao Huang; Yinglong Wang; Wenhao Shu (Knowl. Based Syst., 2020)

Incremental feature selection for dynamic hybrid data using neighborhood rough set. - Wenhao Shu; Wenbin Qian; Yonghong Xie (Knowl. Based Syst., 2020)

Cost-sensitive feature selection on multi-label data via neighborhood granularity and label enhancement. - Xuandong Long; Wenbin Qian; Yinglong Wang; Wenhao Shu (Appl. Intell., 2021)

A ranking-based feature selection for multi-label classification with fuzzy relative discernibility. - Wenbin Qian; Chuanzhen Xiong; Yinglong Wang (Appl. Soft Comput., 2021)

A Lightweight YOLOv4-Based Forestry Pest Detection Method Using Coordinate Attention and Feature Fusion. - Mingfeng Zha; Wenbin Qian; Wenlong Yi; Jing Hua 004 (Entropy, 2021)

Label distribution feature selection for multi-label classification with rough set. - Wenbin Qian; Jintao Huang; Yinglong Wang; Yonghong Xie (Int. J. Approx. Reason., 2021)

Feature selection based on label distribution and fuzzy mutual information. - Chuanzhen Xiong; Wenbin Qian; Yinglong Wang; Jintao Huang (Inf. Sci., 2021)

Simulation and Optimization Studies of the LHCb Beetle Readout ASIC and Machine Learning Approach for Pulse Shape Reconstruction. - Pawel Kopciewicz; Kazuyoshi Carvalho Akiba; Tomasz Szumlak; Sebastian Sitko; William Barter; Jan Buytaert; Lars Eklund; Karol Hennessy; Patrick Koppenburg; Thomas Latham; Maciej Majewski; Agnieszka Oblakowska-Mucha; et al. (Sensors, 2021)

Incremental neighborhood entropy-based feature selection for mixed-type data under the variation of feature set. - Wenhao Shu; Wenbin Qian; Yonghong Xie (Appl. Intell., 2022)

Incomplete label distribution feature selection based on neighborhood-tolerance discrimination index. - Wenbin Qian; Ping Dong; Shiming Dai; Jintao Huang; Yinglong Wang (Appl. Soft Comput., 2022)

Information granularity-based incremental feature selection for partially labeled hybrid data. - Wenhao Shu; Zhenchao Yan; Ting Chen; Jianhui Yu; Wenbin Qian (Intell. Data Anal., 2022)

Cost-sensitive sequential three-way decision for information system with fuzzy decision. - Wenbin Qian; Yangyang Zhou; Jin Qian; Yinglong Wang (Int. J. Approx. Reason., 2022)

Feature selection for label distribution learning via feature similarity and label correlation. - Wenbin Qian; Yinsong Xiong; Jun Yang; Wenhao Shu (Inf. Sci., 2022)

Relevance-based label distribution feature selection via convex optimization. - Wenbin Qian; Qianzhi Ye; Yihui Li; Jintao Huang; Shiming Dai (Inf. Sci., 2022)

Label enhancement-based feature selection via fuzzy neighborhood discrimination index. - Wenbin Qian; Chuanzhen Xiong; Yuhua Qian; Yinglong Wang (Knowl. Based Syst., 2022)

Label distribution feature selection with feature weights fusion and local label correlations. - Wenbin Qian; Qianzhi Ye; Yihui Li; Shiming Dai (Knowl. Based Syst., 2022)

Multifeature Transformation and Fusion-Based Ship Detection With Small Targets and Complex Backgrounds. - Mingfeng Zha; Wenbin Qian; Wenji Yang; Yilu Xu (IEEE Geosci. Remote. Sens. Lett., 2022)

Local rough set-based feature selection for label distribution learning with incomplete labels. - Wenbin Qian; Ping Dong; Yinglong Wang; Shiming Dai; Jintao Huang (Int. J. Mach. Learn. Cybern., 2022)

Semi-supervised feature selection for partially labeled mixed-type data based on multi-criteria measure approach. - Wenhao Shu; Jianhui Yu; Zhenchao Yan; Wenbin Qian (Int. J. Approx. Reason., 2023)

A multi-measure feature selection method for decision systems with preference relation. - Wenhao Shu; Ting Chen; Wenbin Qian; Zhenchao Yan (J. Intell. Fuzzy Syst., 2023)

Partial multi-label learning via three-way decision-based tri-training. - Wenbin Qian; Yanqiang Tu; Jin Qian; Wenhao Shu (Knowl. Based Syst., 2023)

Information gain-based semi-supervised feature selection for hybrid data. - Wenhao Shu; Zhenchao Yan; Jianhui Yu; Wenbin Qian (Appl. Intell., 2023)

Disambiguation-based partial label feature selection via feature dependency and label consistency. - Wenbin Qian; Yihui Li; Qianzhi Ye; Weiping Ding 001; Wenhao Shu (Inf. Fusion, 2023)

Online Label Distribution Learning Using Random Vector Functional-Link Network. - Jintao Huang; Chi-Man Vong; Wenbin Qian; Qin Huang; Yimin Zhou 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Joint Label Enhancement and Label Distribution Learning via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System. - Jintao Huang; Chi-Man Vong; Guangtai Wang; Wenbin Qian; Yimin Zhou 001; C. L. Philip Chen (IEEE Trans. Fuzzy Syst., 2023)

Granular ball-based label enhancement for dimensionality reduction in multi-label data. - Wenbin Qian; Wenyong Ruan; Yihui Li; Jintao Huang (Appl. Intell., 2023)

Neighbourhood discernibility degree-based semisupervised feature selection for partially labelled mixed-type data with granular ball. - Wenhao Shu; Jianhui Yu; Ting Chen; Wenbin Qian (Appl. Intell., 2023)

A novel granular ball computing-based fuzzy rough set for feature selection in label distribution learning. - Wenbin Qian; Fankang Xu; Jintao Huang; Jin Qian (Knowl. Based Syst., 2023)

Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process. - Jintao Huang; Wenbin Qian; Chi-Man Vong; Weiping Ding 001; Wenhao Shu; Qin Huang (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

A survey on multi-label feature selection from perspectives of label fusion. - Wenbin Qian; Jintao Huang; Fankang Xu; Wenhao Shu; Weiping Ding 001 (Inf. Fusion, 2023)

Multi-label feature selection based on rough granular-ball and label distribution. - Wenbin Qian; Fankang Xu; Jin Qian; Wenhao Shu; Weiping Ding 001 (Inf. Sci., 2023)

Weakly-Supervised Mirror Detection via Scribble Annotations. - Mingfeng Zha; Yunqiang Pei; Guoqing Wang 001; Tianyu Li; Yang Yang 002; Wenbin Qian; Heng Tao Shen (AAAI, 2024)

Label Disambiguation-Based Feature Selection for Partial Multi-label Learning. - Fankang Xu; Wenbin Qian; Xingxing Cai; Wenhao Shu; Jintao Huang; Yiu-Ming Cheung; Weiping Ding 001 (ICPR (7), 2024)

Transfer Learning-Based State of Health Estimation for Lithium-Ion Battery at Varying Temperatures. - Qingyue Huang; Jiang Liu; Wei Dai; Chao Li; Wenbin Qian; Yujuan Wang; Kai Zhao; Yan Qin (TENCON, 2024)

Label disambiguation-based feature selection for partial label learning via fuzzy dependency and feature discernibility. - Wenbin Qian; Jinfei Ding; Yihui Li; Jintao Huang (Appl. Soft Comput., 2024)

Label distribution feature selection based on hierarchical structure and neighborhood granularity. - Xiwen Lu; Wenbin Qian; Shiming Dai; Jintao Huang (Inf. Fusion, 2024)

Partial label feature selection via label disambiguation and neighborhood mutual information. - Jinfei Ding; Wenbin Qian; Yihui Li; Wenji Yang; Jintao Huang (Inf. Sci., 2024)

Partial multi-label learning via robust feature selection and relevance fusion optimization. - Wenbin Qian; Yanqiang Tu; Jintao Huang; Weiping Ding 001 (Knowl. Based Syst., 2024)

Partial label feature selection based on noisy manifold and label distribution. - Wenbin Qian; Jiale Liu; Wenji Yang; Jintao Huang; Weiping Ding 001 (Pattern Recognit., 2024)

Label correlations-based multi-label feature selection with label enhancement. - Wenbin Qian; Yinsong Xiong; Weiping Ding 001; Jintao Huang; Chi-Man Vong (Eng. Appl. Artif. Intell., 2024)

Neighborhood multigranulation rough sets for cost-sensitive feature selection on hybrid data. - Wenhao Shu; Qiang Xia 005; Wenbin Qian (Neurocomputing, 2024)

Multiple reference points-based multi-objective feature selection for multi-label learning. - Yangtao Chen; Wenbin Qian (Appl. Intell., 2024)

YWnet: A convolutional block attention-based fusion deep learning method for complex underwater small target detection. - Pingzhu Liu; Wenbin Qian; Yinglong Wang (Ecol. Informatics, 2024)

Incremental feature selection based on uncertainty measure for dynamic interval-valued data. - Wenhao Shu; Ting Chen; Dongtao Cao; Wenbin Qian (Int. J. Mach. Learn. Cybern., 2024)

Semi-supervised feature selection based on discernibility matrix and mutual information. - Wenbin Qian; Lijuan Wan; Wenhao Shu (Appl. Intell., 2024)

Neighborhood relation-based incremental label propagation algorithm for partially labeled hybrid data. - Wenhao Shu; Dongtao Cao; Wenbin Qian; Shipeng Li (Mach. Learn., 2024)

Label distribution feature selection based on label-specific features. - Wenhao Shu; Qiang Xia 005; Wenbin Qian (Appl. Intell., 2024)

Multi-label feature selection via spectral clustering-based label enhancement and manifold distribution consistency. - Wenhao Shu; Dongtao Cao; Wenbin Qian (Int. J. Mach. Learn. Cybern., 2024)

Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity. - Wenbin Qian; Yihui Li; Qianzhi Ye; Shuyin Xia; Jintao Huang; Weiping Ding 001 (IEEE Trans. Knowl. Data Eng., 2024)

Multi-label feature selection for missing labels by granular-ball based mutual information. - Wenhao Shu; Yichen Hu; Wenbin Qian (Appl. Intell., 2024)

GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning. - Jintao Huang; Yiu-ming Cheung; Chi-Man Vong; Wenbin Qian (AAAI, 2025)

Feature selection via label enhancement and neighborhood rough set for multi-label data with unbalanced distribution. - Wenbin Qian; Wenyong Ruan; Xiwen Lu; Wenji Yang; Jintao Huang (Appl. Soft Comput., 2025)

Fuzzy neighborhood-based partial label feature selection via label iterative disambiguation. - Junqi Li; Wenbin Qian; Wenji Yang; Suxuan Liu; Jintao Huang (Int. J. Approx. Reason., 2025)

Granular ball-based partial label feature selection via fuzzy correlation and redundancy. - Wenbin Qian; Junqi Li; Xinxin Cai; Jintao Huang; Weiping Ding 001 (Inf. Sci., 2025)

Transformer-driven feature fusion network and visual feature coding for multi-label image classification. - Pingzhu Liu; Wenbin Qian; Jintao Huang; Yanqiang Tu; Yiu-Ming Cheung (Pattern Recognit., 2025)

Coarse-to-fine cascaded 3D hand reconstruction based on SSGC and MHSA. - Wenji Yang; Liping Xie; Wenbin Qian; Canghai Wu; Hongyun Yang (Vis. Comput., 2025)

Partial Multilabel Learning Using Noise-Tolerant Broad Learning System With Label Enhancement and Dimensionality Reduction. - Wenbin Qian; Yanqiang Tu; Jintao Huang; Wenhao Shu; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2025)

Weakly-supervised label distribution feature selection via label-specific features and label correlation. - Wenhao Shu; Jiayu Hu; Wenbin Qian (Int. J. Mach. Learn. Cybern., 2025)