✦个人简介

舒文豪，女，博士，副教授，硕士生导师，从事人工智能、数据挖掘和智能计算等领域的研究工作。主要研究成果以第一作者或通讯作者在CCF推荐的重要国际SCI刊物和学术会议上发表论文40余篇，主要刊物包括: Pattern Recognition、Knowledge-Based Systems、Applied Soft Computing、Applied Intelligence、Neurocomputing、International Journal of Approximate Reasoning和Data & Knowledge Engineering等。同时，先后已主持国家自然科学基金项目3项、江西省自然科学基金项目面上项目2项、江西省青年科学基金项目1项、江西省教育厅科技项目1项、北京交通大学优秀博士生科研创新基金Ⅰ类和Ⅲ类项目。同时担任国际重要SCI刊物IEEE Transactions on Knowledge and Data Engineering、IEEE Transactions on Systems, Man and Cybernetics、IEEE Transactions on Fuzzy Systems、Knowledge-Based Systems和Information Sciences等期刊的审稿人，并为国际学术会议PAAP、PDCAT的程序委员会委员和IEEE会员。担任国家自然科学基金、江西省科技厅等项目评审专家。

✦研究方向

※人工智能

※数据挖掘

※智能计算

✦主要学术荣誉

※江西省高校青年骨干教师

✦主要科研项目

※主持国家自然科学基金3项（在研2项、完成1项）

※主持完成江西省自然科学基金3项

※主持完成江西省教育厅科技项目1项

※参与其他在研或完成的国家自然科学基金及省部级项目10余项

✦教学和人才培养情况

※主持完成江西省教育厅教改课题项目1项

※主持校级研究生课堂教学改革项目（教学范式改革类）1项

※主持完成校级课堂教学改革项目（教学范式改革类）1项

※指导的研究生获江西省研究生创新基金、考取西南交通大学、福州大学博士研究生

※获得江西省优秀硕士论文指导教师

※获得校优秀本科指导教师

※ 主编本科教材1部

✦代表性论文

    [1].Wenhao Shu(舒文豪), Guojing Liao, Wenbin Qian. Leveraging hyper-interval granules labeling and local mixed neighborhood entropy for semi-supervised feature selection,  

Neurocomputing 657: 131482 (2025). (SCI 二区，IF=4.438)

[2].Wenhao Shu(舒文豪), Qiang Xia, Wenbin Qian. Label distribution feature selection   based on label-specific features, Applied Intelligence 54(19): 9195-9212 (2024).(SCI 二区，IF=5.086)

[3].Wenhao Shu(舒文豪), Yichen Hu, Wenbin Qian. Multi-label feature selection for missing labels by granular-ball based mutual information, Applied Intelligence 54(23): 12589-12612 (2024). (SCI 二区，IF=5.086)

[4].Wenhao Shu(舒文豪), Dongtao Cao, Wenbin Qian, Shipeng Li. Neighborhood relation-based incremental label propagation algorithm for partially labeled hybrid data, Machine Learning 113(9): 6293-6339 (2024). (SCI三区，IF=2.9)

[5] Wenhao Shu(舒文豪), Dongtao Cao, Wenbin Qian. Multi-label feature selection via spectral clustering-based label enhancement and manifold distribution consistency, International Journal of Machine Learning and Cybernetics 15(10): 4669-4693 (2024). (SCI)

[6].Wenhao Shu(舒文豪), Qiang Xia, Wenbin Qian. Neighborhood multigranulation rough  sets for cost-sensitive feature selection on hybrid data, Neurocomputing 565: 126990 (2024). (SCI 二区，IF=4.438)

[7]. Wenhao Shu(舒文豪), Zhenchao Yan, Jianhui Yu, Wenbin Qian. Information gain-based semi-supervised feature selection for hybrid data, Applied Intelligence, 2023, 53(6): 7310-7325. (SCI 二区，IF=5.086)

[8]. Wenhao Shu(舒文豪), Jianhui Yu, Ting Chen, Wenbin Qian. Neighbourhood discernibility degree-based semisupervised feature selection for partially labelled mixed-type data with granular ball, Applied Intelligence, 2023, 53(19): 22467-22487. (SCI 二区，IF=5.086)

[9]. Wenhao Shu(舒文豪), Ting Chen, Wenbin Qian, Zhenchao Yan. A multi-measure feature selection method for decision systems with preference relation. Journal of Intelligent & Fuzzy Systems, 2023, 45 (2): 3379-3392. (SCI)

[10]. Wenhao Shu(舒文豪), Jianhui Yu, Zhenchao Yan, Wenbin Qian. Semi-supervised feature selection for partially labeled mixed-type data based on multi-criteria measure approach. International Journal of Approximate Reasoning, 2022, 153 (1): 258-279. (SCI 二区，IF=4.452)

[11]. Wenhao Shu(舒文豪), Wenbin Qian, Yonghong Xie. Incremental neighborhood entropy-based feature selection for mixed-type data under the variation of feature set, Applied Intelligence, 2022, 52 (5): 4792-4806. (SCI二区，IF=5.086)

[12]. Wenhao Shu(舒文豪), Zhenchao Yan, Ting Chen, Jianhui Yu, Wenbin Qian*.  Information granularity-based incremental feature selection for partially labeled hybrid data, Intelligent Data Analysis, 2022, 26: 33-56. (SCI)

[13]. Wenhao Shu(舒文豪), Wenbin Qian, Yonghong Xie. Incremental feature selection for dynamic hybrid data using neighborhood rough set, Knowledge-Based Systems, 2020, 194: 105516. (SCI一区，IF=8.038)

[14]. Wenhao Shu(舒文豪), Wenbin Qian, Yonghong Xie. Incremental approaches for feature selection from dynamic data with the variation of multiple objects, Knowledge-Based Systems, 2019, 163: 320-331. (SCI一区，IF=8.038)

[15]. Wenhao Shu(舒文豪), Hong Shen. Multi-criteria feature selection on cost-sensitive data with missing values, Pattern Recognition, 2016, 51: 268-280. (SCI一区，IF=7.740)

[16]. Wenhao Shu(舒文豪), Wenbin Qian. An incremental approach to attribute reduction from dynamic incomplete decision systems in rough set, Data & Knowledge Engineering, 2015, 100: 116-132. (SCI三区，IF= 1.992)

[17]. Wenhao Shu(舒文豪), Hong Shen. Incremental feature selection based on rough set in dynamic incomplete data, Pattern Recognition, 2014, 47(12): 3890-3906. (SCI一区，IF=7.740)

[18]. Wenhao Shu(舒文豪), Hong Shen. Updating attribute reduction in incomplete decision systems with variation of attribute set, International Journal of Approximate Reasoning, 2014, 55(3): 867-884. (SCI三区，IF=3.816)

[19]. Wenhao Shu(舒文豪), Wenbin Qian. A fast approach to attribute reduction from perspective of attribute measures in incomplete decision system, Knowledge-Based Systems, 2014, 72(1): 60-71. (SCI一区，IF=8.038)

✦联系方式

QQ：290911628

邮箱：shuwenhao@126.com