Wenbin Qian - RankMe

93 papers A* 2B 2C 2Misc 3Journal 77Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Granular Ball-Guided Disambiguation for Partial Multilabel Feature Selection via Maximum Consistency Minimum Uncertainty. IEEE Trans. Neural Networks Learn. Syst. Fankang Xu, Wenbin Qian, Wenhao Shu, Jintao Huang, Weiping Ding, Shuyin Xia
2026	J	`jnl`	Neighborhood combination entropy-based label distribution feature selection with instance similarity and feature redundancy. Inf. Sci. Kewen Li, Wenbin Qian, Xingxing Cai, Jintao Huang
2026	J	`jnl`	Semi-supervised outlier detection for partially labeled numerical data using generalized multigranulation fuzzy neighborhood rough set. Appl. Intell. Wenhao Shu, Yueming Jiang, Wenbin Qian
2025	J	`jnl`	Coarse-to-fine cascaded 3D hand reconstruction based on SSGC and MHSA. Vis. Comput. Wenji Yang, Liping Xie, Wenbin Qian, Canghai Wu, Hongyun Yang
2025	J	`jnl`	Feature selection via label enhancement and neighborhood rough set for multi-label data with unbalanced distribution. Appl. Soft Comput. Wenbin Qian, Wenyong Ruan, Xiwen Lu, Wenji Yang, Jintao Huang
2025	J	`jnl`	Fuzzy neighborhood-based partial label feature selection via label iterative disambiguation. Int. J. Approx. Reason. Junqi Li, Wenbin Qian, Wenji Yang, Suxuan Liu, Jintao Huang
2025	A*	`conf`	GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning. AAAI Jintao Huang, Yiu-ming Cheung, Chi-Man Vong, Wenbin Qian
2025	J	`jnl`	Granular ball-based partial label feature selection via fuzzy correlation and redundancy. Inf. Sci. Wenbin Qian, Junqi Li, Xinxin Cai, Jintao Huang, Weiping Ding
2025	J	`jnl`	Granular-ball representation-based two-stage deep learning model for text classification. Appl. Intell. Wenbin Qian, Ying He, Xingxing Cai, Jintao Huang
2025	J	`jnl`	Leveraging hyper-interval granules labeling and local mixed neighborhood entropy for semi-supervised feature selection. Neurocomputing Wenhao Shu, Guojing Liao, Wenbin Qian
2025	J	`jnl`	Multi-label feature selection via asymmetric redundancy and variable precision dependency. Appl. Soft Comput. Wenbin Qian, Xiwen Lu, Shiming Dai, Jintao Huang
2025	J	`jnl`	Partial Multilabel Learning Using Noise-Tolerant Broad Learning System With Label Enhancement and Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. Wenbin Qian, Yanqiang Tu, Jintao Huang, Wenhao Shu, Yiu-ming Cheung
2025	J	`jnl`	Transformer-driven feature fusion network and visual feature coding for multi-label image classification. Pattern Recognit. Pingzhu Liu, Wenbin Qian, Jintao Huang, Yanqiang Tu, Yiu-ming Cheung
2025	J	`jnl`	Weakly-supervised label distribution feature selection via label-specific features and label correlation. Int. J. Mach. Learn. Cybern. Wenhao Shu, Jiayu Hu, Wenbin Qian
2024	J	`jnl`	Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity. IEEE Trans. Knowl. Data Eng. Wenbin Qian, Yihui Li, Qianzhi Ye, Shuyin Xia, Jintao Huang, Weiping Ding
2024	J	`jnl`	GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning. CoRR Jintao Huang, Yiu-ming Cheung, Chi-Man Vong, Wenbin Qian
2024	J	`jnl`	Incremental feature selection based on uncertainty measure for dynamic interval-valued data. Int. J. Mach. Learn. Cybern. Wenhao Shu, Ting Chen, Dongtao Cao, Wenbin Qian
2024	—	`conf`	Label Disambiguation-Based Feature Selection for Partial Multi-label Learning. ICPR (7) Fankang Xu, Wenbin Qian, Xingxing Cai, Wenhao Shu, Jintao Huang, Yiu-ming Cheung, Weiping Ding
2024	J	`jnl`	Label correlations-based multi-label feature selection with label enhancement. Eng. Appl. Artif. Intell. Wenbin Qian, YinSong Xiong, Weiping Ding, Jintao Huang, Chi-Man Vong
2024	J	`jnl`	Label disambiguation-based feature selection for partial label learning via fuzzy dependency and feature discernibility. Appl. Soft Comput. Wenbin Qian, Jinfei Ding, Yihui Li, Jintao Huang
2024	J	`jnl`	Label distribution feature selection based on hierarchical structure and neighborhood granularity. Inf. Fusion Xiwen Lu, Wenbin Qian, Shiming Dai, Jintao Huang
2024	J	`jnl`	Label distribution feature selection based on label-specific features. Appl. Intell. Wenhao Shu, Qiang Xia, Wenbin Qian
2024	J	`jnl`	Multi-label feature selection for missing labels by granular-ball based mutual information. Appl. Intell. Wenhao Shu, Yichen Hu, Wenbin Qian
2024	J	`jnl`	Multi-label feature selection via spectral clustering-based label enhancement and manifold distribution consistency. Int. J. Mach. Learn. Cybern. Wenhao Shu, Dongtao Cao, Wenbin Qian
2024	J	`jnl`	Multiple reference points-based multi-objective feature selection for multi-label learning. Appl. Intell. Yangtao Chen, Wenbin Qian
2024	J	`jnl`	Neighborhood multigranulation rough sets for cost-sensitive feature selection on hybrid data. Neurocomputing Wenhao Shu, Qiang Xia, Wenbin Qian
2024	J	`jnl`	Neighborhood relation-based incremental label propagation algorithm for partially labeled hybrid data. Mach. Learn. Wenhao Shu, Dongtao Cao, Wenbin Qian, Shipeng Li
2024	J	`jnl`	Partial label feature selection based on noisy manifold and label distribution. Pattern Recognit. Wenbin Qian, Jiale Liu, Wenji Yang, Jintao Huang, Weiping Ding
2024	J	`jnl`	Partial label feature selection via label disambiguation and neighborhood mutual information. Inf. Sci. Jinfei Ding, Wenbin Qian, Yihui Li, Wenji Yang, Jintao Huang
2024	J	`jnl`	Partial multi-label learning via robust feature selection and relevance fusion optimization. Knowl. Based Syst. Wenbin Qian, Yanqiang Tu, Jintao Huang, Weiping Ding
2024	J	`jnl`	Semi-supervised feature selection based on discernibility matrix and mutual information. Appl. Intell. Wenbin Qian, Lijuan Wan, Wenhao Shu
2024	C	`conf`	Transfer Learning-Based State of Health Estimation for Lithium-Ion Battery at Varying Temperatures. TENCON Qingyue Huang, Jiang Liu, Wei Dai, Chao Li, Wenbin Qian, Yujuan Wang, Kai Zhao, Yan Qin
2024	A*	`conf`	Weakly-Supervised Mirror Detection via Scribble Annotations. AAAI Mingfeng Zha, Yunqiang Pei, Guoqing Wang, Tianyu Li, Yang Yang, Wenbin Qian, Heng Tao Shen
2024	J	`jnl`	YWnet: A convolutional block attention-based fusion deep learning method for complex underwater small target detection. Ecol. Informatics Pingzhu Liu, Wenbin Qian, Yinglong Wang
2023	J	`jnl`	A multi-measure feature selection method for decision systems with preference relation. J. Intell. Fuzzy Syst. Wenhao Shu, Ting Chen, Wenbin Qian, Zhenchao Yan
2023	J	`jnl`	A novel granular ball computing-based fuzzy rough set for feature selection in label distribution learning. Knowl. Based Syst. Wenbin Qian, Fankang Xu, Jintao Huang, Jin Qian
2023	J	`jnl`	A survey on multi-label feature selection from perspectives of label fusion. Inf. Fusion Wenbin Qian, Jintao Huang, Fankang Xu, Wenhao Shu, Weiping Ding
2023	J	`jnl`	Disambiguation-based partial label feature selection via feature dependency and label consistency. Inf. Fusion Wenbin Qian, Yihui Li, Qianzhi Ye, Weiping Ding, Wenhao Shu
2023	J	`jnl`	Granular ball-based label enhancement for dimensionality reduction in multi-label data. Appl. Intell. Wenbin Qian, Wenyong Ruan, Yihui Li, Jintao Huang
2023	J	`jnl`	Information gain-based semi-supervised feature selection for hybrid data. Appl. Intell. Wenhao Shu, Zhenchao Yan, Jianhui Yu, Wenbin Qian
2023	J	`jnl`	Joint Label Enhancement and Label Distribution Learning via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System. IEEE Trans. Fuzzy Syst. Jintao Huang, Chi-Man Vong, Guangtai Wang, Wenbin Qian, Yimin Zhou, C. L. Philip Chen
2023	J	`jnl`	Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process. IEEE Trans. Emerg. Top. Comput. Intell. Jintao Huang, Wenbin Qian, Chi-Man Vong, Weiping Ding, Wenhao Shu, Qin Huang
2023	J	`jnl`	Multi-label feature selection based on rough granular-ball and label distribution. Inf. Sci. Wenbin Qian, Fankang Xu, Jin Qian, Wenhao Shu, Weiping Ding
2023	J	`jnl`	Neighbourhood discernibility degree-based semisupervised feature selection for partially labelled mixed-type data with granular ball. Appl. Intell. Wenhao Shu, Jianhui Yu, Ting Chen, Wenbin Qian
2023	J	`jnl`	Online Label Distribution Learning Using Random Vector Functional-Link Network. IEEE Trans. Emerg. Top. Comput. Intell. Jintao Huang, Chi-Man Vong, Wenbin Qian, Qin Huang, Yimin Zhou
2023	J	`jnl`	Partial multi-label learning via three-way decision-based tri-training. Knowl. Based Syst. Wenbin Qian, Yanqiang Tu, Jin Qian, Wenhao Shu
2023	J	`jnl`	Semi-supervised feature selection for partially labeled mixed-type data based on multi-criteria measure approach. Int. J. Approx. Reason. Wenhao Shu, Jianhui Yu, Zhenchao Yan, Wenbin Qian
2022	J	`jnl`	Cost-sensitive sequential three-way decision for information system with fuzzy decision. Int. J. Approx. Reason. Wenbin Qian, Yangyang Zhou, Jin Qian, Yinglong Wang
2022	J	`jnl`	Feature selection for label distribution learning via feature similarity and label correlation. Inf. Sci. Wenbin Qian, YinSong Xiong, Jun Yang, Wenhao Shu
2022	J	`jnl`	Incomplete label distribution feature selection based on neighborhood-tolerance discrimination index. Appl. Soft Comput. Wenbin Qian, Ping Dong, Shiming Dai, Jintao Huang, Yinglong Wang
2022	J	`jnl`	Incremental neighborhood entropy-based feature selection for mixed-type data under the variation of feature set. Appl. Intell. Wenhao Shu, Wenbin Qian, Yonghong Xie
2022	J	`jnl`	Information granularity-based incremental feature selection for partially labeled hybrid data. Intell. Data Anal. Wenhao Shu, Zhenchao Yan, Ting Chen, Jianhui Yu, Wenbin Qian
2022	J	`jnl`	Label distribution feature selection with feature weights fusion and local label correlations. Knowl. Based Syst. Wenbin Qian, Qianzhi Ye, Yihui Li, Shiming Dai
2022	J	`jnl`	Label enhancement-based feature selection via fuzzy neighborhood discrimination index. Knowl. Based Syst. Wenbin Qian, Chuanzhen Xiong, Yuhua Qian, Yinglong Wang
2022	J	`jnl`	Local rough set-based feature selection for label distribution learning with incomplete labels. Int. J. Mach. Learn. Cybern. Wenbin Qian, Ping Dong, Yinglong Wang, Shiming Dai, Jintao Huang
2022	J	`jnl`	Multifeature Transformation and Fusion-Based Ship Detection With Small Targets and Complex Backgrounds. IEEE Geosci. Remote. Sens. Lett. Mingfeng Zha, Wenbin Qian, Wenji Yang, Yilu Xu
2022	J	`jnl`	Relevance-based label distribution feature selection via convex optimization. Inf. Sci. Wenbin Qian, Qianzhi Ye, Yihui Li, Jintao Huang, Shiming Dai
2021	J	`jnl`	A Lightweight YOLOv4-Based Forestry Pest Detection Method Using Coordinate Attention and Feature Fusion. Entropy Mingfeng Zha, Wenbin Qian, Wenlong Yi, Jing Hua
2021	J	`jnl`	A ranking-based feature selection for multi-label classification with fuzzy relative discernibility. Appl. Soft Comput. Wenbin Qian, Chuanzhen Xiong, Yinglong Wang
2021	J	`jnl`	Cost-sensitive feature selection on multi-label data via neighborhood granularity and label enhancement. Appl. Intell. Xuandong Long, Wenbin Qian, Yinglong Wang, Wenhao Shu
2021	J	`jnl`	Feature selection based on label distribution and fuzzy mutual information. Inf. Sci. Chuanzhen Xiong, Wenbin Qian, Yinglong Wang, Jintao Huang
2021	J	`jnl`	Label distribution feature selection for multi-label classification with rough set. Int. J. Approx. Reason. Wenbin Qian, Jintao Huang, Yinglong Wang, Yonghong Xie
2021	J	`jnl`	Simulation and Optimization Studies of the LHCb Beetle Readout ASIC and Machine Learning Approach for Pulse Shape Reconstruction. Sensors 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
2020	J	`jnl`	Incremental feature selection for dynamic hybrid data using neighborhood rough set. Knowl. Based Syst. Wenhao Shu, Wenbin Qian, Yonghong Xie
2020	J	`jnl`	Multi-label feature selection based on information entropy fusion in multi-source decision system. Evol. Intell. Wenbin Qian, Sudan Yu, Jun Yang, Yinglong Wang, Jihao Zhang
2020	J	`jnl`	Multi-label feature selection based on label distribution and feature complementarity. Appl. Soft Comput. Wenbin Qian, Xuandong Long, Yinglong Wang, Yonghong Xie
2020	J	`jnl`	Mutual information-based label distribution feature selection for multi-label learning. Knowl. Based Syst. Wenbin Qian, Jintao Huang, Yinglong Wang, Wenhao Shu
2019	J	`jnl`	An Efficient Uncertainty Measure-based Attribute Reduction Approach for Interval-valued Data with Missing Values. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Wenhao Shu, Wenbin Qian, Yonghong Xie, Zhaoping Tang
2019	Misc	`conf`	Cost-Sensitive Feature Selection Based on Label Significance and Positive Region. ICMLC Jintao Huang, Wenbin Qian, Binglong Wu, Yinglong Wang
2019	J	`jnl`	Incremental approaches for feature selection from dynamic data with the variation of multiple objects. Knowl. Based Syst. Wenhao Shu, Wenbin Qian, Yonghong Xie
2019	J	`jnl`	Knowledge Acquisition Approach Based on Incremental Objects From Data With Missing Values. IEEE Access Wenhao Shu, Wenbin Qian, Yonghong Xie
2018	—	`conf`	A Three-Way Decisions Approach for Computing Approximations in Continuous Data. FSDM Lisha Peng, Wenbin Qian, Yinglong Wang, Wenhao Shu
2018	J	`jnl`	An efficient approximation algorithm for the extension facility location problem on torus internetwork topology. Int. J. Comput. Sci. Math. Wenhao Shu, Wenbin Qian, Jun Yang
2018	J	`jnl`	Attribute reduction in incomplete ordered information systems with fuzzy decision. Appl. Soft Comput. Wenbin Qian, Wenhao Shu
2018	—	`conf`	Cost-Sensitive Attribute Reduction Algorithm Based on Neighborhood Rough Sets in Incomplete Data. ICNC-FSKD Yinglong Wang, Qingzhi Xie, Wenbin Qian, Qin Huang
2018	—	`conf`	Cost-Sensitive Multi-Label Feature Selection Algorithm Based on Positive Approximation. FSDM Binglong Wu, Wenbin Qian, Qin Huang, Sudan Yu
2018	J	`jnl`	Laura++: A Dalitz plot fitter. Comput. Phys. Commun. 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
2018	Misc	`conf`	Multi-Label Cost-Sensitive Feature Selection Algorithm In Incomplete Data. ICMLC Qin Huang, Wenbin Qian, Wenhao Shu, Binglong Wu, Shuangshuang Feng
2017	—	`conf`	Approximate optimization for facility location on two-dimensional internetwork topology. ICNC-FSKD Wenbin Qian, Jun Yang, Wenhao Shu, Hong Deng, Jun Liu
2017	B	`conf`	Feature Selection based on Discernibility Function in Incomplete Data with Fuzzy Decision. ICTAI Wenbin Qian, Wenhao Shu, Jun Liu, Yinglong Wang
2016	J	`jnl`	Feature Selection from the Perspective of Knowledge Granulation in Dynamic Set-valued Information System. J. Inf. Sci. Eng. Wenhao Shu, Wenbin Qian, Changsheng Zhang
2015	J	`jnl`	An incremental approach to attribute reduction from dynamic incomplete decision systems in rough set theory. Data Knowl. Eng. Wenhao Shu, Wenbin Qian
2015	—	`conf`	Cost-Sensitive Feature Selection on Heterogeneous Data. PAKDD (2) Wenbin Qian, Wenhao Shu, Jun Yang, Yinglong Wang
2015	J	`jnl`	Feature Selection using Compact Discernibility Matrix-based Approach in Dynamic Incomplete Decision System. J. Inf. Sci. Eng. Wenbin Qian, Wenhao Shu, Yonghong Xie, Bingru Yang, Jun Yang
2015	J	`jnl`	Mutual information criterion for feature selection from incomplete data. Neurocomputing Wenbin Qian, Wenhao Shu
2014	C	`conf`	A Consistency-Based Dimensionality Reduction Algorithm in Incomplete Data. APWeb Wenbin Qian, Wenhao Shu, Yinglong Wang
2014	J	`jnl`	A fast approach to attribute reduction from perspective of attribute measures in incomplete decision systems. Knowl. Based Syst. Wenhao Shu, Wenbin Qian
2014	B	`conf`	Mutual Information-Based Feature Selection from Set-Valued Data. ICTAI Wenhao Shu, Wenbin Qian
2013	Misc	`conf`	A dynamic attribute reduction algorithm based on compound attribute measure. GrC Wenbin Qian, Yonghong Xie, Bingru Yang
2013	—	`conf`	A rule extraction algorithm based on compound attribute measure in decision systems. FSKD Wenbin Qian, Bingru Yang, Yonghong Xie, Hui Li
2013	J	`jnl`	Discrimination of malignant neutrophils of chronic myelogenous leukemia from normal neutrophils by support vector machine. Comput. Biol. Medicine Wanmao Ni, Xiangmin Tong, Wenbin Qian, Jie Jin, Hongchan Zhao
2011	J	`jnl`	Improving protein secondary structure prediction using a multi-modal BP method. Comput. Biol. Medicine Wu Qu, Haifeng Sui, Bingru Yang, Wenbin Qian
2010	J	`jnl`	A method for fuzzy risk analysis based on the new similarity of trapezoidal fuzzy numbers. Expert Syst. Appl. Zhangyan Xu, Shichao Shang, Wenbin Qian, Wenhao Shu