Wenbin Qian

According to our database, Wenbin Qian authored at least 78 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-label feature selection for missing labels by granular-ball based mutual information.

Wenhao Shu, Yichen Hu, Wenbin Qian

Appl. Intell., December, 2024

Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity.

Wenbin Qian, Yihui Li, Qianzhi Ye, Shuyin Xia, Jintao Huang, Weiping Ding

IEEE Trans. Knowl. Data Eng., November, 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., October, 2024

Label distribution feature selection based on label-specific features.

Wenhao Shu, Qiang Xia, Wenbin Qian

Appl. Intell., October, 2024

Neighborhood relation-based incremental label propagation algorithm for partially labeled hybrid data.

Wenhao Shu, Dongtao Cao, Wenbin Qian, Shipeng Li

Mach. Learn., September, 2024

Semi-supervised feature selection based on discernibility matrix and mutual information.

Wenbin Qian, Lijuan Wan, Wenhao Shu

Appl. Intell., July, 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., April, 2024

A composite entropy-based uncertainty measure guided attribute reduction for imbalanced mixed-type data.

Wenhao Shu, Shipeng Li, Wenbin Qian

J. Intell. Fuzzy Syst., March, 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, March, 2024

Multiple reference points-based multi-objective feature selection for multi-label learning.

Yangtao Chen, Wenbin Qian

Appl. Intell., March, 2024

Neighborhood multigranulation rough sets for cost-sensitive feature selection on hybrid data.

Wenhao Shu, Qiang Xia, Wenbin Qian

Neurocomputing, January, 2024

Label correlations-based multi-label feature selection with label enhancement.

Wenbin Qian, Yinsong Xiong, Weiping Ding, Jintao Huang, Chi-Man Vong

Eng. Appl. Artif. Intell., January, 2024

Partial label feature selection based on noisy manifold and label distribution.

Wenbin Qian, Jiale Liu, Wenji Yang, Jintao Huang, Weiping Ding

Pattern Recognit., 2024

Partial multi-label learning via robust feature selection and relevance fusion optimization.

Wenbin Qian, Yanqiang Tu, Jintao Huang, Weiping Ding

Knowl. Based Syst., 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

Label distribution feature selection based on hierarchical structure and neighborhood granularity.

Xiwen Lu, Wenbin Qian, Shiming Dai, Jintao Huang

Inf. Fusion, 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 Disambiguation-Based Feature Selection for Partial Multi-label Learning.

Fankang Xu, Wenbin Qian, Xingxing Cai, Wenhao Shu, Jintao Huang, Yiu-Ming Cheung, Weiping Ding

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Weakly-Supervised Mirror Detection via Scribble Annotations.

Mingfeng Zha, Yunqiang Pei, Guoqing Wang, Tianyu Li, Yang Yang, Wenbin Qian, Heng Tao Shen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-label feature selection based on rough granular-ball and label distribution.

Wenbin Qian, Fankang Xu, Jin Qian, Wenhao Shu, Weiping Ding

Inf. Sci., December, 2023

A survey on multi-label feature selection from perspectives of label fusion.

Wenbin Qian, Jintao Huang, Fankang Xu, Wenhao Shu, Weiping Ding

Inf. Fusion, December, 2023

Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process.

Jintao Huang, Wenbin Qian, Chi-Man Vong, Weiping Ding, Wenhao Shu, Qin Huang

IEEE Trans. Emerg. Top. Comput. Intell., October, 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., October, 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., October, 2023

Granular ball-based label enhancement for dimensionality reduction in multi-label data.

Wenbin Qian, Wenyong Ruan, Yihui Li, Jintao Huang

Appl. Intell., October, 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, C. L. Philip Chen

IEEE Trans. Fuzzy Syst., September, 2023

Online Label Distribution Learning Using Random Vector Functional-Link Network.

Jintao Huang, Chi-Man Vong, Wenbin Qian, Qin Huang, Yimin Zhou

IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

Disambiguation-based partial label feature selection via feature dependency and label consistency.

Wenbin Qian, Yihui Li, Qianzhi Ye, Weiping Ding, Wenhao Shu

Inf. Fusion, June, 2023

Information gain-based semi-supervised feature selection for hybrid data.

Wenhao Shu, Zhenchao Yan, Jianhui Yu, Wenbin Qian

Appl. Intell., March, 2023

Partial multi-label learning via three-way decision-based tri-training.

Wenbin Qian, Yanqiang Tu, Jin Qian, Wenhao Shu

Knowl. Based Syst., 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

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

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

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

Label distribution feature selection with feature weights fusion and local label correlations.

Wenbin Qian, Qianzhi Ye, Yihui Li, Shiming Dai

Knowl. Based Syst., 2022

Label enhancement-based feature selection via fuzzy neighborhood discrimination index.

Wenbin Qian, Chuanzhen Xiong, Yuhua Qian, Yinglong Wang

Knowl. Based Syst., 2022

Relevance-based label distribution feature selection via convex optimization.

Wenbin Qian, Qianzhi Ye, Yihui Li, Jintao Huang, Shiming Dai

Inf. Sci., 2022

Feature selection for label distribution learning via feature similarity and label correlation.

Wenbin Qian, Yinsong Xiong, Jun Yang, Wenhao Shu

Inf. Sci., 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

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

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

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

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, Chris Parkes, Wenbin Qian, Jaap Velthuis, Mark Williams

Sensors, 2021

Feature selection based on label distribution and fuzzy mutual information.

Chuanzhen Xiong, Wenbin Qian, Yinglong Wang, Jintao Huang

Inf. Sci., 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

A Lightweight YOLOv4-Based Forestry Pest Detection Method Using Coordinate Attention and Feature Fusion.

Mingfeng Zha, Wenbin Qian, Wenlong Yi, Jing Hua

Entropy, 2021

A ranking-based feature selection for multi-label classification with fuzzy relative discernibility.

Wenbin Qian, Chuanzhen Xiong, Yinglong Wang

Appl. Soft Comput., 2021

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

2020

Incremental feature selection for dynamic hybrid data using neighborhood rough set.

Wenhao Shu, Wenbin Qian, Yonghong Xie

Knowl. Based Syst., 2020

Mutual information-based label distribution feature selection for multi-label learning.

Wenbin Qian, Jintao Huang, Yinglong Wang, Wenhao Shu

Knowl. Based Syst., 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

Multi-label feature selection based on label distribution and feature complementarity.

Wenbin Qian, Xuandong Long, Yinglong Wang, Yonghong Xie

Appl. Soft Comput., 2020

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

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

Knowledge Acquisition Approach Based on Incremental Objects From Data With Missing Values.

Wenhao Shu, Wenbin Qian, Yonghong Xie

IEEE Access, 2019

Cost-Sensitive Feature Selection Based on Label Significance and Positive Region.

Jintao Huang, Wenbin Qian, Binglong Wu, Yinglong Wang

Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

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

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, Mark Whitehead

Comput. Phys. Commun., 2018

Attribute reduction in incomplete ordered information systems with fuzzy decision.

Wenbin Qian, Wenhao Shu

Appl. Soft Comput., 2018

Cost-Sensitive Attribute Reduction Algorithm Based on Neighborhood Rough Sets in Incomplete Data.

Yinglong Wang, Qingzhi Xie, Wenbin Qian, Qin Huang

Proceedings of the 14th International Conference on Natural Computation, 2018

Multi-Label Cost-Sensitive Feature Selection Algorithm In Incomplete Data.

Qin Huang, Wenbin Qian, Wenhao Shu, Binglong Wu, Shuangshuang Feng

Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Cost-Sensitive Multi-Label Feature Selection Algorithm Based on Positive Approximation.

Binglong Wu, Wenbin Qian, Qin Huang, Sudan Yu

Proceedings of the Fuzzy Systems and Data Mining IV, 2018

A Three-Way Decisions Approach for Computing Approximations in Continuous Data.

Lisha Peng, Wenbin Qian, Yinglong Wang, Wenhao Shu

Proceedings of the Fuzzy Systems and Data Mining IV, 2018

2017

Feature Selection based on Discernibility Function in Incomplete Data with Fuzzy Decision.

Wenbin Qian, Wenhao Shu, Jun Liu, Yinglong Wang

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Approximate optimization for facility location on two-dimensional internetwork topology.

Wenbin Qian, Jun Yang, Wenhao Shu, Hong Deng, Jun Liu

Proceedings of the 13th International Conference on Natural Computation, 2017

2016

Feature Selection from the Perspective of Knowledge Granulation in Dynamic Set-valued Information System.

Wenhao Shu, Wenbin Qian, Changsheng Zhang

J. Inf. Sci. Eng., 2016

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

Mutual information criterion for feature selection from incomplete data.

Wenbin Qian, Wenhao Shu

Neurocomputing, 2015

An incremental approach to attribute reduction from dynamic incomplete decision systems in rough set theory.

Wenhao Shu, Wenbin Qian

Data Knowl. Eng., 2015

Cost-Sensitive Feature Selection on Heterogeneous Data.

Wenbin Qian, Wenhao Shu, Jun Yang, Yinglong Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014

A fast approach to attribute reduction from perspective of attribute measures in incomplete decision systems.

Wenhao Shu, Wenbin Qian

Knowl. Based Syst., 2014

Mutual Information-Based Feature Selection from Set-Valued Data.

Wenhao Shu, Wenbin Qian

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

A Consistency-Based Dimensionality Reduction Algorithm in Incomplete Data.

Wenbin Qian, Wenhao Shu, Yinglong Wang

Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

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 dynamic attribute reduction algorithm based on compound attribute measure.

Wenbin Qian, Yonghong Xie, Bingru Yang

Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013

A rule extraction algorithm based on compound attribute measure in decision systems.

Wenbin Qian, Bingru Yang, Yonghong Xie, Hui Li

Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

2011

Improving protein secondary structure prediction using a multi-modal BP method.

Wu Qu, Haifeng Sui, Bingru Yang, Wenbin Qian

Comput. Biol. Medicine, 2011

2010

A method for fuzzy risk analysis based on the new similarity of trapezoidal fuzzy numbers.

Zhangyan Xu, Shichao Shang, Wenbin Qian, Wenhao Shu

Expert Syst. Appl., 2010