Wenbin Qian

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 62

Top Topics

Mutual Information

Attribute Reduction

Reference Points

Top Venues

Knowl. Based Syst.

Appl. Soft Comput.

Publications

Wenbin Qian, Lijuan Wan, Wenhao Shu
Semi-supervised feature selection based on discernibility matrix and mutual information. Appl. Intell. 54 (13-14) (2024)
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 (2024)
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) (2024)
Xiwen Lu, Wenbin Qian, Shiming Dai, Jintao Huang
Label distribution feature selection based on hierarchical structure and neighborhood granularity. Inf. Fusion 112 (2024)
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 (2024)
Yangtao Chen, Wenbin Qian
Multiple reference points-based multi-objective feature selection for multi-label learning. Appl. Intell. 54 (6) (2024)
Mingfeng Zha, Yunqiang Pei, Guoqing Wang, Tianyu Li, Yang Yang, Wenbin Qian, Heng Tao Shen
Weakly-Supervised Mirror Detection via Scribble Annotations. AAAI (2024)
Wenbin Qian, Jiale Liu, Wenji Yang, Jintao Huang, Weiping Ding
Partial label feature selection based on noisy manifold and label distribution. Pattern Recognit. 156 (2024)
Wenhao Shu, Qiang Xia, Wenbin Qian
Label distribution feature selection based on label-specific features. Appl. Intell. 54 (19) (2024)
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) (2024)
Jinfei Ding, Wenbin Qian, Yihui Li, Wenji Yang, Jintao Huang
Partial label feature selection via label disambiguation and neighborhood mutual information. Inf. Sci. 680 (2024)
Wenbin Qian, Yinsong Xiong, Weiping Ding, Jintao Huang, Chi-Man Vong
Label correlations-based multi-label feature selection with label enhancement. Eng. Appl. Artif. Intell. 127 (Part A) (2024)
Wenbin Qian, Yanqiang Tu, Jintao Huang, Weiping Ding
Partial multi-label learning via robust feature selection and relevance fusion optimization. Knowl. Based Syst. 286 (2024)
Wenhao Shu, Dongtao Cao, Wenbin Qian, Shipeng Li
Neighborhood relation-based incremental label propagation algorithm for partially labeled hybrid data. Mach. Learn. 113 (9) (2024)
Wenhao Shu, Qiang Xia, Wenbin Qian
Neighborhood multigranulation rough sets for cost-sensitive feature selection on hybrid data. Neurocomputing 565 (2024)
Wenbin Qian, Jintao Huang, Fankang Xu, Wenhao Shu, Weiping Ding
A survey on multi-label feature selection from perspectives of label fusion. Inf. Fusion 100 (2023)
Wenhao Shu, Zhenchao Yan, Jianhui Yu, Wenbin Qian
Information gain-based semi-supervised feature selection for hybrid data. Appl. Intell. 53 (6) (2023)
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) (2023)
Wenbin Qian, Yanqiang Tu, Jin Qian, Wenhao Shu
Partial multi-label learning via three-way decision-based tri-training. Knowl. Based Syst. 276 (2023)
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) (2023)
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 (2023)
Jintao Huang, Chi-Man Vong, Guangtai Wang, Wenbin Qian, Yimin Zhou, C. L. Philip Chen
Joint Label Enhancement and Label Distribution Learning via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System. IEEE Trans. Fuzzy Syst. 31 (9) (2023)
Wenbin Qian, Yihui Li, Qianzhi Ye, Weiping Ding, Wenhao Shu
Disambiguation-based partial label feature selection via feature dependency and label consistency. Inf. Fusion 94 (2023)
Jintao Huang, Wenbin Qian, Chi-Man Vong, Weiping Ding, Wenhao Shu, Qin Huang
Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process. IEEE Trans. Emerg. Top. Comput. Intell. 7 (5) (2023)
Jintao Huang, Chi-Man Vong, Wenbin Qian, Qin Huang, Yimin Zhou
Online Label Distribution Learning Using Random Vector Functional-Link Network. IEEE Trans. Emerg. Top. Comput. Intell. 7 (4) (2023)
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 (2023)
Wenbin Qian, Fankang Xu, Jintao Huang, Jin Qian
A novel granular ball computing-based fuzzy rough set for feature selection in label distribution learning. Knowl. Based Syst. 278 (2023)
Wenbin Qian, Wenyong Ruan, Yihui Li, Jintao Huang
Granular ball-based label enhancement for dimensionality reduction in multi-label data. Appl. Intell. 53 (20) (2023)
Wenbin Qian, Chuanzhen Xiong, Yuhua Qian, Yinglong Wang
Label enhancement-based feature selection via fuzzy neighborhood discrimination index. Knowl. Based Syst. 250 (2022)
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) (2022)
Mingfeng Zha, Wenbin Qian, Wenji Yang, Yilu Xu
Multifeature Transformation and Fusion-Based Ship Detection With Small Targets and Complex Backgrounds. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Wenbin Qian, Qianzhi Ye, Yihui Li, Jintao Huang, Shiming Dai
Relevance-based label distribution feature selection via convex optimization. Inf. Sci. 607 (2022)
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) (2022)
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) (2022)
Wenbin Qian, Qianzhi Ye, Yihui Li, Shiming Dai
Label distribution feature selection with feature weights fusion and local label correlations. Knowl. Based Syst. 256 (2022)
Wenbin Qian, Ping Dong, Shiming Dai, Jintao Huang, Yinglong Wang
Incomplete label distribution feature selection based on neighborhood-tolerance discrimination index. Appl. Soft Comput. 130 (2022)
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 (2022)
Wenbin Qian, Yinsong Xiong, Jun Yang, Wenhao Shu
Feature selection for label distribution learning via feature similarity and label correlation. Inf. Sci. 582 (2022)
Wenbin Qian, Chuanzhen Xiong, Yinglong Wang
A ranking-based feature selection for multi-label classification with fuzzy relative discernibility. Appl. Soft Comput. 102 (2021)
Mingfeng Zha, Wenbin Qian, Wenlong Yi, Jing Hua
A Lightweight YOLOv4-Based Forestry Pest Detection Method Using Coordinate Attention and Feature Fusion. Entropy 23 (12) (2021)
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
Simulation and Optimization Studies of the LHCb Beetle Readout ASIC and Machine Learning Approach for Pulse Shape Reconstruction. Sensors 21 (18) (2021)
Chuanzhen Xiong, Wenbin Qian, Yinglong Wang, Jintao Huang
Feature selection based on label distribution and fuzzy mutual information. Inf. Sci. 574 (2021)
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) (2021)
Wenbin Qian, Jintao Huang, Yinglong Wang, Yonghong Xie
Label distribution feature selection for multi-label classification with rough set. Int. J. Approx. Reason. 128 (2021)
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) (2020)
Wenbin Qian, Jintao Huang, Yinglong Wang, Wenhao Shu
Mutual information-based label distribution feature selection for multi-label learning. Knowl. Based Syst. 195 (2020)
Wenhao Shu, Wenbin Qian, Yonghong Xie
Incremental feature selection for dynamic hybrid data using neighborhood rough set. Knowl. Based Syst. 194 (2020)
Wenbin Qian, Xuandong Long, Yinglong Wang, Yonghong Xie
Multi-label feature selection based on label distribution and feature complementarity. Appl. Soft Comput. 90 (2020)
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) (2019)
Wenhao Shu, Wenbin Qian, Yonghong Xie
Knowledge Acquisition Approach Based on Incremental Objects From Data With Missing Values. IEEE Access 7 (2019)
Jintao Huang, Wenbin Qian, Binglong Wu, Yinglong Wang
Cost-Sensitive Feature Selection Based on Label Significance and Positive Region. ICMLC (2019)
Wenhao Shu, Wenbin Qian, Yonghong Xie
Incremental approaches for feature selection from dynamic data with the variation of multiple objects. Knowl. Based Syst. 163 (2019)
Yinglong Wang, Qingzhi Xie, Wenbin Qian, Qin Huang
Cost-Sensitive Attribute Reduction Algorithm Based on Neighborhood Rough Sets in Incomplete Data. ICNC-FSKD (2018)
Binglong Wu, Wenbin Qian, Qin Huang, Sudan Yu
Cost-Sensitive Multi-Label Feature Selection Algorithm Based on Positive Approximation. FSDM (2018)
Lisha Peng, Wenbin Qian, Yinglong Wang, Wenhao Shu
A Three-Way Decisions Approach for Computing Approximations in Continuous Data. FSDM (2018)
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) (2018)
Wenbin Qian, Wenhao Shu
Attribute reduction in incomplete ordered information systems with fuzzy decision. Appl. Soft Comput. 73 (2018)
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
Laura++: A Dalitz plot fitter. Comput. Phys. Commun. 231 (2018)
Qin Huang, Wenbin Qian, Wenhao Shu, Binglong Wu, Shuangshuang Feng
Multi-Label Cost-Sensitive Feature Selection Algorithm In Incomplete Data. ICMLC (2018)
Wenbin Qian, Wenhao Shu, Jun Liu, Yinglong Wang
Feature Selection based on Discernibility Function in Incomplete Data with Fuzzy Decision. ICTAI (2017)
Wenbin Qian, Jun Yang, Wenhao Shu, Hong Deng, Jun Liu
Approximate optimization for facility location on two-dimensional internetwork topology. ICNC-FSKD (2017)
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) (2016)
Wenhao Shu, Wenbin Qian
An incremental approach to attribute reduction from dynamic incomplete decision systems in rough set theory. Data Knowl. Eng. 100 (2015)
Wenbin Qian, Wenhao Shu
Mutual information criterion for feature selection from incomplete data. Neurocomputing 168 (2015)
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) (2015)
Wenbin Qian, Wenhao Shu, Jun Yang, Yinglong Wang
Cost-Sensitive Feature Selection on Heterogeneous Data. PAKDD (2) (2015)
Wenhao Shu, Wenbin Qian
Mutual Information-Based Feature Selection from Set-Valued Data. ICTAI (2014)
Wenbin Qian, Wenhao Shu, Yinglong Wang
A Consistency-Based Dimensionality Reduction Algorithm in Incomplete Data. APWeb (2014)
Wenhao Shu, Wenbin Qian
A fast approach to attribute reduction from perspective of attribute measures in incomplete decision systems. Knowl. Based Syst. 72 (2014)
Wenbin Qian, Yonghong Xie, Bingru Yang
A dynamic attribute reduction algorithm based on compound attribute measure. GrC (2013)
Wanmao Ni, Xiangmin Tong, Wenbin Qian, Jie Jin, Hongchan Zhao
Discrimination of malignant neutrophils of chronic myelogenous leukemia from normal neutrophils by support vector machine. Comput. Biol. Medicine 43 (9) (2013)
Wenbin Qian, Bingru Yang, Yonghong Xie, Hui Li
A rule extraction algorithm based on compound attribute measure in decision systems. FSKD (2013)
Wu Qu, Haifeng Sui, Bingru Yang, Wenbin Qian
Improving protein secondary structure prediction using a multi-modal BP method. Comput. Biol. Medicine 41 (10) (2011)
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) (2010)