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)

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

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

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

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

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

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)

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 (Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part VII, 2024)

Multi-label feature selection based on granular ball and fuzzy neighborhood mutual information - Longwu Peng; Wenhao Shu (Proceedings of the 2024 4th International Conference on Internet of Things and Machine Learning, IoTML 2024, Nanchang, China, August 9-11, 2024, 2024)

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

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)

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

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., 2023)

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)

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)

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

Parametric modeling and performance analysis of a personalized insole based on 3D scanning and selective laser sintering - Junchao Li; Wenhao Shu; Yanan Yang; Ran Yan (Int. J. Comput. Integr. Manuf., 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)

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)

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

A Three-Way Decisions Approach for Computing Approximations in Continuous Data - Lisha Peng; Wenbin Qian; Yinglong Wang; Wenhao Shu (Fuzzy Systems and Data Mining IV - Proceedings of FSDM 2018, Bangkok, Thailand, 16-19 November 2018, 2018)

Multi-Label Cost-Sensitive Feature Selection Algorithm In Incomplete Data - Qin Huang; Wenbin Qian; Wenhao Shu; Binglong Wu; Shuangshuang Feng (2018 International Conference on Machine Learning and Cybernetics, ICMLC 2018, Chengdu, China, July 15-18, 2018, 2018)

Approximate optimization for facility location on two-dimensional internetwork topology - Wenbin Qian; Jun Yang; Wenhao Shu; Hong Deng; Jun Liu (13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017, Guilin, China, July 29-31, 2017, 2017)

Feature Selection based on Discernibility Function in Incomplete Data with Fuzzy Decision - Wenbin Qian; Wenhao Shu; Jun Liu; Yinglong Wang (29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017, Boston, MA, USA, November 6-8, 2017, 2017)

Improving matrix approximation for recommendation via a clustering-based reconstructive method - Ke Ji; Runyuan Sun; Xiang Li; Wenhao Shu (Neurocomputing, 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)

Multi-criteria feature selection on cost-sensitive data with missing values - Wenhao Shu; Hong Shen (Pattern Recognit., 2016)

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)

Next-song recommendation with temporal dynamics - Ke Ji; Runyuan Sun; Wenhao Shu; Xiang Li (Knowl. Based Syst., 2015)

Cost-Sensitive Feature Selection on Heterogeneous Data - Wenbin Qian; Wenhao Shu; Jun Yang; Yinglong Wang (Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II, 2015)

Updating attribute reduction in incomplete decision systems with the variation of attribute set - Wenhao Shu; Hong Shen (Int. J. Approx. Reason., 2014)

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

Incremental feature selection based on rough set in dynamic incomplete data - Wenhao Shu; Hong Shen (Pattern Recognit., 2014)

A Consistency-Based Dimensionality Reduction Algorithm in Incomplete Data - Wenbin Qian; Wenhao Shu; Yinglong Wang (Web Technologies and Applications - 16th Asia-Pacific Web Conference, APWeb 2014, Changsha, China, September 5-7, 2014. Proceedings, 2014)

Mutual Information-Based Feature Selection from Set-Valued Data - Wenhao Shu; Wenbin Qian (26th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2014, Limassol, Cyprus, November 10-12, 2014, 2014)

A New Evaluation Function for Entropy-Based Feature Selection from Incomplete Data - Wenhao Shu; Hong Shen; Yingpeng Sang; Yidong Li; Jun Wu (Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II, 2014)

A Fast Algorithm for Facility Location Problem - Wenhao Shu (J. Softw., 2013)

A rough-set based incremental approach for updating attribute reduction under dynamic incomplete decision systems - Wenhao Shu; Hong Shen (FUZZ-IEEE 2013, IEEE International Conference on Fuzzy Systems, Hyderabad, India, 7-10 July, 2013, Proceedings, 2013)

Incremental Attribute Reduction in Incomplete Decision Systems - Wenhao Shu; Hong Shen (Fifth International Symposium on Parallel Architectures, Algorithms and Programming, PAAP 2012, Taipei, Taiwan, December 17-20, 2012, 2012)

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)

Efficient Algorithm for Attribute Reduction of Incomplete Information Systems Based on Assignment Matrix - Zhangyan Xu; Bo Yang; Wenhao Shu; Bingru Yang (Fuzzy Information and Engineering, Volume [Proceedings of the Third International Conference on Fuzzy Information and Engineering, ICFIE 2009, Chongqing, China, September 26-29, 2009], 2009)

New Algorithm for Computing the Core Based on Information Entropy - Zhangyan Xu; Wenhao Shu; Bo Yang (2009 Second International Symposium on Computational Intelligence and Design, ISCID 2009, Changsha, Hunan, China, 12-14 December 2009, 2 Volumes, 2009)

A multiple classifier approach to detect Chinese character recognition errors - Kei Yuen Hung; Robert Wing Pong Luk; Daniel S. Yeung; Korris Fu-Lai Chung; Wenhao Shu (Pattern Recognit., 2005)

Feature Selection For Chinese Character Recognition Based On Inductive Learning - Guoliang Qian; Daniel S. Yeung; Eric C. C. Tsang; Wenhao Shu (Int. J. Pattern Recognit. Artif. Intell., 2004)

An Approach To Natural Stroke Extraction For Off-Line Loosely-Constrained Handwritten Chinese Characters - Daniel S. Yeung; Hank-Shun Fong; Eric C. C. Tsang; Wenhao Shu; Xiaolong Wang (Int. J. Pattern Recognit. Artif. Intell., 2003)

Determination of Context Window Size - Kei Yuen Hung; Robert W. P. Luk; Daniel S. Yeung; Korris Fu-Lai Chung; Wenhao Shu (Int. J. Comput. Process. Orient. Lang., 2001)

Detection of Language (Model) Errors - Kei Yuen Hung; Robert Wing Pong Luk; Daniel S. Yeung; Korris Fu-Lai Chung; Wenhao Shu (Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, EMNLP 2000, Hong Kong, October 7-8, 2000, 2000)

An extension matrix approach to Chinese character recognition - Wenhao Shu; Daming Shi; Guoliang Qian; Fusi Wang (Proceedings of the IEEE International Conference on Systems, Man & Cybernetics: "Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions", Sheraton Music City Hotel, Nashville, Tennessee, USA, 8-11 October 2000, 2000)

Feature selection for handwritten Chinese character recognition based on genetic algorithms - Daming Shi; Wenhao Shu; Haitao Liu (Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, SMC 1998, Hyatt Regency La Jolla, San Diego, California, USA, October 11-14,1998, 1998)

Traverse Features and Structural Features in Handwritten Chinese Character Recognition - Daming Shi; Jianglong Tang; Wenhao Shu (Multimedia Technology and Applications, papers from the International Conference on Multimedia Technology and Management, December 11-14, 1996, Hong Kong, 1996)

An accurate method for recognition of printed Chinese characters - Wenhao Shu; Guo-wei Cui; Ri-hua Zhao (9th International Conference on Pattern Recognition, ICPR 1988, 14-17 November 1988, Ergife Palace Hotel, Rome, Italy, 1988)

A Prototype of Multi-Font Printed Chinese Character Reader - Wenhao Shu; Dong-min Guo (Proceedings of IAPR Workshop on Computer Vision - Special Hardware and Industrial Applications, MVA 1988, Tokyo, Japan, October 12-14, 1988, 1988)