舒文豪，江西吉安人，博士，副教授，硕士生导师，主要从事数据挖掘和知识发现等方面的研究。其主要研究成果已在本领域的国际重要刊物和学术会议上发表学术论文20余篇，其中以第一作者在国际重要学术刊物包括Pattern Recognition、Knowledge-Based Systems、International Journal of Approximate Reasoning和Data & Knowledge Engineering等期刊上发表。目前主持国家自然科学基金项目1项，主持完成江西省青年科学基金项目1项和江西省教育厅科技项目1项。曾主持完成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International Journal of Approximate Reasoning、Knowledge-Based Systems和Information Sciences审稿人，并为国际会议PAAP、PDCAT的程序委员会委员和IEEE会员。
主持的科研项目：
1.国家自然地区科学基金项目，**，面向高维混合数据的信息粒化与特征选择研究，2017/01-2020/12，38万，在研，主持
2.江西省青年科学基金项目，20161BAB212049，粒计算下高维海量数据的属性约简模型与算法研究，2016/01-2018/12，7万，已结题，主持
3.江西省教育厅项目,GJJ150505,面向缺失数据的信息粒化与特征选择研究, 2016/01-2017/12, 2万，已结题，主持
4.北京交通大学优秀博士生科研创新项目(Ⅲ类)，2014YJS040，面向动态不完备数据的特征选择研究，2014/03-2015/03，5万，已结题，主持
5.北京交通大学优秀博士生科研创新项目(Ⅰ类)，2012YJS025，设施定位优化算法的研究，2012/03-2013/03，1万，已结题，主持

主要的学术论文
(1) Wenhao Shu, Wenbin Qian, Yonghong Xie. Incremental feature selection for dynamic hybrid data using neighborhood rough set. Knowledge-Based Systems, 2020, In Press. (SCI二区)
Wenhao Shu, Wenbin Qian, Yonghong Xie. Incremental approaches for feature selection from dynamic data with the variation of multiple objects. Knowledge-Based Systems, 2019, 163(1): 320-331. (SCI二区)
(3) Wenhao Shu, Wenbin Qian, An efficient uncertainty measure-based attribute reduction approach for interval-valued data with missing values. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2019, 18: 931-947. (SCI)
(4) Wenbin Qian, Wenhao Shu*, Attribute reduction in incomplete ordered information systems with fuzzy decision. Applied Soft Computing, 2018, 73: 242-253. (SCI二区)
(5) Wenhao Shu, Hong Shen. Multi-criteria feature selection on cost- sensitive data with missing values. Pattern Recognition,2016,51: 268-280. (SCI二区)
(6)Wenhao Shu, Wenbin Qian.An incremental approach to attribute reduction from dynamic incomplete decision systems in rough set theory.Data & Knowledge Engineering, 2015,100:116-132. (SCI三区)
(7) Wenbin Qian, Wenhao Shu. Mutual information criterion for feature selection from incomplete data. Neurocomputing,2015, 168: 210-220.(SCI三区)
(8) Wenbin Qian, Wenhao Shu, Yonghong Xie, Bingru Yang, Jun Yang. Feature selection using compact discernibility matrix-based approach in dynamic incomplete decision system. Journal of Information Science and Engineering,2015, 31(2): 509-527. (SCI)
(9)Wenhao Shu, Hong Shen. Incremental feature selection based on rough set in dynamic incomplete data, Pattern Recognition,2014,47(12): 3890-3906. (SCI二区)
(10)Wenhao Shu, Wenbin Qian. A fast approach to attribute reduction from perspective of attribute measures in incomplete decision systems.Knowledge-Based Systems, 2014,72(1):60-71. (SCI二区)
(11)Wenhao Shu, Hong Shen.Updating attribute reduction in incomplete decision systems with the variation of attribute set.International Journal of Approximate Reasoning, 2014,55(3):867-884. (SCI 三区)
(12) Wenhao Shu, Wenbin Qian, Jun Yang. An Efficient Approximation Algorithm for the Extension Facility Location Problem on Torus Internetwork Topology.International Journal of Computing Science and Mathematics, 2018, 9(2): 189-196. (EI)
(13)Wenhao Shu, Hong Shen. A New Evaluation Function for Entropy-based Feature Selection from Incomplete Data, The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD), Springer, 2014, pp.98-109. (CCF C类国际学术会议)
(14)Wenhao Shu, Wenbin Qian, Mutual Information-based Feature Selection from Set-Valued Data. The 26th IEEE International Conference on Tools with Artificial Intelligence(ICTAI), IEEE, 2014, pp.733-739. (CCF C类国际学术会议)

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