Wenhao Shu - RankMe

70 papers A* 1B 6C 1Misc 2Journal 50Unranked 10

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`	LIMFS: Label interaction-aware multi-label feature selection. Expert Syst. Appl. Ying Yu, Bowen Li, Jin Qian, Wenhao Shu, Duoqian Miao
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`	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`	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`	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`	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 distribution feature selection based on label-specific features. Appl. Intell. Wenhao Shu, Qiang Xia, Wenbin Qian
2024	—	`conf`	Multi-label feature selection based on granular ball and fuzzy neighborhood mutual information. IoTML Longwu Peng, Wenhao Shu
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`	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`	Semi-supervised feature selection based on discernibility matrix and mutual information. Appl. Intell. Wenbin Qian, Lijuan Wan, Wenhao Shu
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 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`	Information gain-based semi-supervised feature selection for hybrid data. Appl. Intell. Wenhao Shu, Zhenchao Yan, Jianhui Yu, Wenbin Qian
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`	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`	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`	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
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
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`	Mutual information-based label distribution feature selection for multi-label learning. Knowl. Based Syst. Wenbin Qian, Jintao Huang, Yinglong Wang, Wenhao Shu
2020	J	`jnl`	Parametric modeling and performance analysis of a personalized insole based on 3D scanning and selective laser sintering. Int. J. Comput. Integr. Manuf. Junchao Li, Wenhao Shu, Yanan Yang, Ran Yan
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	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	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
2016	J	`jnl`	Improving matrix approximation for recommendation via a clustering-based reconstructive method. Neurocomputing Ke Ji, Runyuan Sun, Xiang Li, Wenhao Shu
2016	J	`jnl`	Multi-criteria feature selection on cost-sensitive data with missing values. Pattern Recognit. Wenhao Shu, Hong Shen
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
2015	J	`jnl`	Next-song recommendation with temporal dynamics. Knowl. Based Syst. Ke Ji, Runyuan Sun, Wenhao Shu, Xiang Li
2014	C	`conf`	A Consistency-Based Dimensionality Reduction Algorithm in Incomplete Data. APWeb Wenbin Qian, Wenhao Shu, Yinglong Wang
2014	—	`conf`	A New Evaluation Function for Entropy-Based Feature Selection from Incomplete Data. PAKDD (2) Wenhao Shu, Hong Shen, Yingpeng Sang, Yidong Li, Jun Wu
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	J	`jnl`	Incremental feature selection based on rough set in dynamic incomplete data. Pattern Recognit. Wenhao Shu, Hong Shen
2014	B	`conf`	Mutual Information-Based Feature Selection from Set-Valued Data. ICTAI Wenhao Shu, Wenbin Qian
2014	J	`jnl`	Updating attribute reduction in incomplete decision systems with the variation of attribute set. Int. J. Approx. Reason. Wenhao Shu, Hong Shen
2013	J	`jnl`	A Fast Algorithm for Facility Location Problem. J. Softw. Wenhao Shu
2013	B	`conf`	A rough-set based incremental approach for updating attribute reduction under dynamic incomplete decision systems. FUZZ-IEEE Wenhao Shu, Hong Shen
2012	—	`conf`	Incremental Attribute Reduction in Incomplete Decision Systems. PAAP Wenhao Shu, Hong Shen
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
2009	—	`conf`	Efficient Algorithm for Attribute Reduction of Incomplete Information Systems Based on Assignment Matrix. ICFIE Zhangyan Xu, Bo Yang, Wenhao Shu, Bingru Yang
2009	—	`conf`	New Algorithm for Computing the Core Based on Information Entropy. ISCID (2) Zhangyan Xu, Wenhao Shu, Bo Yang
2005	J	`jnl`	A multiple classifier approach to detect Chinese character recognition errors. Pattern Recognit. Kei Yuen Hung, Robert Wing Pong Luk, Daniel S. Yeung, Korris Fu-Lai Chung, Wenhao Shu
2004	J	`jnl`	Feature Selection For Chinese Character Recognition Based On Inductive Learning. Int. J. Pattern Recognit. Artif. Intell. Guoliang Qian, Daniel S. Yeung, Eric C. C. Tsang, Wenhao Shu
2003	J	`jnl`	An Approach To Natural Stroke Extraction For Off-Line Loosely-Constrained Handwritten Chinese Characters. Int. J. Pattern Recognit. Artif. Intell. Daniel S. Yeung, Hank-Shun Fong, Eric C. C. Tsang, Wenhao Shu, Xiaolong Wang
2001	J	`jnl`	Determination of Context Window Size. Int. J. Comput. Process. Orient. Lang. Kei Yuen Hung, Robert W. P. Luk, Daniel S. Yeung, Korris Fu-Lai Chung, Wenhao Shu
2000	B	`conf`	An extension matrix approach to Chinese character recognition. SMC Wenhao Shu, Daming Shi, Guoliang Qian, Fusi Wang
2000	A*	`conf`	Detection of Language (Model) Errors. EMNLP Kei Yuen Hung, Robert Wing Pong Luk, Daniel S. Yeung, Korris Fu-Lai Chung, Wenhao Shu
1998	B	`conf`	Feature selection for handwritten Chinese character recognition based on genetic algorithms. SMC Daming Shi, Wenhao Shu, Haitao Liu
1996	—	`conf`	Traverse Features and Structural Features in Handwritten Chinese Character Recognition. Multimedia Technology and Applications Daming Shi, Jianglong Tang, Wenhao Shu
1988	Misc	`conf`	A Prototype of Multi-Font Printed Chinese Character Reader. MVA Wenhao Shu, Dong-min Guo
1988	B	`conf`	An accurate method for recognition of printed Chinese characters. ICPR Wenhao Shu, Guo-wei Cui, Ri-hua Zhao