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2020 – today
- 2024
[j45]Wenbin Qian, Lijuan Wan, Wenhao Shu:
Semi-supervised feature selection based on discernibility matrix and mutual information. Appl. Intell. 54(13-14): 7278-7295 (2024)- [j44]Wenhao Shu, Qiang Xia, Wenbin Qian:
Label distribution feature selection based on label-specific features. Appl. Intell. 54(19): 9195-9212 (2024) - [j43]Wenhao Shu, Yichen Hu, Wenbin Qian:
Multi-label feature selection for missing labels by granular-ball based mutual information. Appl. Intell. 54(23): 12589-12612 (2024) - [j42]Wenhao Shu, Qiang Xia
, Wenbin Qian:
Neighborhood multigranulation rough sets for cost-sensitive feature selection on hybrid data. Neurocomputing 565: 126990 (2024) - [j41]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): 7307-7325 (2024) - [j40]Wenhao Shu, Dongtao Cao, Wenbin Qian, Shipeng Li:
Neighborhood relation-based incremental label propagation algorithm for partially labeled hybrid data. Mach. Learn. 113(9): 6293-6339 (2024) - [j39]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): 1453-1472 (2024) - [j38]Wenhao Shu, Dongtao Cao, Wenbin Qian:
Multi-label feature selection via spectral clustering-based label enhancement and manifold distribution consistency. Int. J. Mach. Learn. Cybern. 15(10): 4669-4693 (2024) - [c19]Longwu Peng, Wenhao Shu:
Multi-label feature selection based on granular ball and fuzzy neighborhood mutual information. IoTML 2024: 260-266 - 2023
- [j37]Wenhao Shu, Zhenchao Yan, Jianhui Yu, Wenbin Qian:
Information gain-based semi-supervised feature selection for hybrid data. Appl. Intell. 53(6): 7310-7325 (2023) - [j36]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): 22467-22487 (2023) - [j35]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: 258-279 (2023) - [j34]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: 152-168 (2023) - [j33]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: 101948 (2023) - [j32]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: 119698 (2023) - [j31]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): 3379-3392 (2023) - [j30]Wenbin Qian, Yanqiang Tu, Jin Qian, Wenhao Shu:
Partial multi-label learning via three-way decision-based tri-training. Knowl. Based Syst. 276: 110743 (2023) - [j29]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): 1377-1393 (2023) - 2022
- [j28]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): 4792-4806 (2022) - [j27]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): 33-56 (2022) - [j26]Wenbin Qian, Yinsong Xiong, Jun Yang, Wenhao Shu:
Feature selection for label distribution learning via feature similarity and label correlation. Inf. Sci. 582: 38-59 (2022) - 2021
- [j25]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): 2210-2232 (2021) - 2020
- [j24]Junchao Li, Wenhao Shu, Yanan Yang, Ran Yan:
Parametric modeling and performance analysis of a personalized insole based on 3D scanning and selective laser sintering. Int. J. Comput. Integr. Manuf. 33(9): 936-945 (2020) - [j23]Wenhao Shu, Wenbin Qian, Yonghong Xie:
Incremental feature selection for dynamic hybrid data using neighborhood rough set. Knowl. Based Syst. 194: 105516 (2020) - [j22]Wenbin Qian, Jintao Huang, Yinglong Wang, Wenhao Shu:
Mutual information-based label distribution feature selection for multi-label learning. Knowl. Based Syst. 195: 105684 (2020)
2010 – 2019
- 2019
- [j21]Wenhao Shu, Wenbin Qian, Yonghong Xie:
Knowledge Acquisition Approach Based on Incremental Objects From Data With Missing Values. IEEE Access 7: 54863-54878 (2019) - [j20]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): 931-947 (2019) - [j19]Wenhao Shu, Wenbin Qian, Yonghong Xie:
Incremental approaches for feature selection from dynamic data with the variation of multiple objects. Knowl. Based Syst. 163: 320-331 (2019) - 2018
- [j18]Wenbin Qian, Wenhao Shu:
Attribute reduction in incomplete ordered information systems with fuzzy decision. Appl. Soft Comput. 73: 242-253 (2018) - [j17]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): 189-196 (2018) - [c18]Lisha Peng, Wenbin Qian, Yinglong Wang, Wenhao Shu:
A Three-Way Decisions Approach for Computing Approximations in Continuous Data. FSDM 2018: 374-380 - [c17]Qin Huang, Wenbin Qian, Wenhao Shu, Binglong Wu, Shuangshuang Feng:
Multi-Label Cost-Sensitive Feature Selection Algorithm In Incomplete Data. ICMLC 2018: 56-62 - 2017
- [c16]Wenbin Qian, Jun Yang, Wenhao Shu, Hong Deng, Jun Liu:
Approximate optimization for facility location on two-dimensional internetwork topology. ICNC-FSKD 2017: 1905-1909 - [c15]Wenbin Qian, Wenhao Shu, Jun Liu, Yinglong Wang:
Feature Selection based on Discernibility Function in Incomplete Data with Fuzzy Decision. ICTAI 2017: 899-904 - 2016
- [j16]Ke Ji, Runyuan Sun, Xiang Li, Wenhao Shu:
Improving matrix approximation for recommendation via a clustering-based reconstructive method. Neurocomputing 173: 912-920 (2016) - [j15]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): 783-798 (2016) - [j14]Wenhao Shu, Hong Shen:
Multi-criteria feature selection on cost-sensitive data with missing values. Pattern Recognit. 51: 268-280 (2016) - 2015
- [j13]Wenhao Shu, Wenbin Qian:
An incremental approach to attribute reduction from dynamic incomplete decision systems in rough set theory. Data Knowl. Eng. 100: 116-132 (2015) - [j12]Wenbin Qian, Wenhao Shu:
Mutual information criterion for feature selection from incomplete data. Neurocomputing 168: 210-220 (2015) - [j11]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): 509-527 (2015) - [j10]Ke Ji, Runyuan Sun, Wenhao Shu, Xiang Li:
Next-song recommendation with temporal dynamics. Knowl. Based Syst. 88: 134-143 (2015) - [c14]Wenbin Qian, Wenhao Shu, Jun Yang, Yinglong Wang:
Cost-Sensitive Feature Selection on Heterogeneous Data. PAKDD (2) 2015: 397-408 - 2014
- [j9]Wenhao Shu, Hong Shen:
Updating attribute reduction in incomplete decision systems with the variation of attribute set. Int. J. Approx. Reason. 55(3): 867-884 (2014) - [j8]Wenhao Shu, Wenbin Qian:
A fast approach to attribute reduction from perspective of attribute measures in incomplete decision systems. Knowl. Based Syst. 72: 60-71 (2014) - [j7]Wenhao Shu, Hong Shen:
Incremental feature selection based on rough set in dynamic incomplete data. Pattern Recognit. 47(12): 3890-3906 (2014) - [c13]Wenbin Qian, Wenhao Shu, Yinglong Wang:
A Consistency-Based Dimensionality Reduction Algorithm in Incomplete Data. APWeb 2014: 576-583 - [c12]Wenhao Shu, Wenbin Qian:
Mutual Information-Based Feature Selection from Set-Valued Data. ICTAI 2014: 733-739 - [c11]Wenhao Shu, Hong Shen, Yingpeng Sang, Yidong Li, Jun Wu:
A New Evaluation Function for Entropy-Based Feature Selection from Incomplete Data. PAKDD (2) 2014: 98-109 - 2013
- [j6]Wenhao Shu:
A Fast Algorithm for Facility Location Problem. J. Softw. 8(9): 2360-2366 (2013) - [c10]Wenhao Shu, Hong Shen:
A rough-set based incremental approach for updating attribute reduction under dynamic incomplete decision systems. FUZZ-IEEE 2013: 1-7 - 2012
- [c9]Wenhao Shu, Hong Shen:
Incremental Attribute Reduction in Incomplete Decision Systems. PAAP 2012: 250-254 - 2010
- [j5]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): 1920-1927 (2010)
2000 – 2009
- 2009
- [c8]Zhangyan Xu, Bo Yang, Wenhao Shu, Bingru Yang:
Efficient Algorithm for Attribute Reduction of Incomplete Information Systems Based on Assignment Matrix. ICFIE 2009: 787-796 - [c7]Zhangyan Xu, Wenhao Shu, Bo Yang:
New Algorithm for Computing the Core Based on Information Entropy. ISCID (2) 2009: 383-386 - 2005
- [j4]Kei Yuen Hung, Robert Wing Pong Luk, Daniel S. Yeung, Korris Fu-Lai Chung, Wenhao Shu:
A multiple classifier approach to detect Chinese character recognition errors. Pattern Recognit. 38(5): 723-738 (2005) - 2004
- [j3]Guoliang Qian, Daniel S. Yeung, Eric C. C. Tsang, Wenhao Shu:
Feature Selection For Chinese Character Recognition Based On Inductive Learning. Int. J. Pattern Recognit. Artif. Intell. 18(8): 1453-1471 (2004) - 2003
- [j2]Daniel S. Yeung, Hank-Shun Fong, Eric C. C. Tsang, Wenhao Shu, Xiaolong Wang:
An Approach To Natural Stroke Extraction For Off-Line Loosely-Constrained Handwritten Chinese Characters. Int. J. Pattern Recognit. Artif. Intell. 17(8): 1483-1513 (2003) - 2001
- [j1]Kei Yuen Hung, Robert W. P. Luk, Daniel S. Yeung, Korris Fu-Lai Chung, Wenhao Shu:
Determination of Context Window Size. Int. J. Comput. Process. Orient. Lang. 14(1): 71-80 (2001) - 2000
- [c6]Kei Yuen Hung, Robert Wing Pong Luk, Daniel S. Yeung, Korris Fu-Lai Chung, Wenhao Shu:
Detection of Language (Model) Errors. EMNLP 2000: 87-94 - [c5]Wenhao Shu, Daming Shi, Guoliang Qian, Fusi Wang:
An extension matrix approach to Chinese character recognition. SMC 2000: 2763-2768
1990 – 1999
- 1998
- [c4]Daming Shi, Wenhao Shu, Haitao Liu:
Feature selection for handwritten Chinese character recognition based on genetic algorithms. SMC 1998: 4201-4206 - 1996
- [c3]Daming Shi, Jianglong Tang, Wenhao Shu:
Traverse Features and Structural Features in Handwritten Chinese Character Recognition. Multimedia Technology and Applications 1996: 131-137
1980 – 1989
- 1988
- [c2]Wenhao Shu, Guo-wei Cui, Ri-hua Zhao:
An accurate method for recognition of printed Chinese characters. ICPR 1988: 908-910 - [c1]Wenhao Shu, Dong-min Guo:
A Prototype of Multi-Font Printed Chinese Character Reader. MVA 1988: 319-322
Coauthor Index
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