最终学位：博士
导师类型：博士生导师
电子邮箱：weiwei@sxu.edu.cn
联系电话：0351-7018949
研究方向：数据挖掘、机器学习、无人系统
魏巍，博士、教授、博士生导师，荣耀3注册荣耀3注册（大数据学院）副院长。长期从事数据挖掘、机器学习、无人系统等方面的研究；先后赴香港城市大学和美国纽约州立大学布法罗分校做访问学者；担任中国人工智能学会知识工程与分布智能专委会副秘书长，中国人工智能学会粒计算与知识发现专业委员会委员，中国计算机学会青年科技论坛（CCF YOCSEF）太原分论坛2021-2022副主席。
近年来，主持和参与国家重点研发计划项目、国家自然科学基金重点项目、国家自然科学基金面上项目、山西省自然科学基金项目10余项。围绕数据降维、度量学习、强化学习等领域中的基础科学问题开展了系统研究，先后在《IEEE TKDE》、《Machine Learning》、《Information Fusion》、《Information Sciences》、《Neurocomputing》、《Knowledge-Based Systems》、《Applied Soft Computing》等国际重要期刊发表SCI论文30余篇，获国家发明专利1项。
[1] Wei Wei, Qin Yue, Kai Feng, Junbiao Cui, Jiye Liang. Unsupervised dimensionality reduction based on fusing multiple clustering results, IEEE Transactions on Knowledge and Data Engineering, 2021, 10.1109/TKDE.2021.3114204.
[2] Jiye Liang, Junbiao Cui, Jie Wang, Wei Wei. Graph-based semi-supervised learning via improving the quality of the graph dynamically. Machine Learning, 2021, 110:1345–1388
[3] Wei Wei, Da Wang, Jiye Liang. Accelerating ReliefF using information granulation, International Journal of Machine Learning and Cybernetics, 2021, https://doi.org/10.1007/s13042-021-01334-4
[4] Wei Wei, Peng Song, Jiye Liang, Xiaoying Wu. Accelerating incremental attribute reduction algorithm by compacting a decision table, International Journal of Machine Learning and Cybernetics, 2019, 10(9): 2355-2373.
[5] Wei Wei, Jiye Liang, Xinyao Guo, Peng Song,Yijun Sun. Hierarchical division clustering framework for categorical data, Neurocomputing, 2019, 341:118-134.
[6] Wei Wei, Jiye Liang. Information fusion in rough set theory : An overview, Information Fusion, 2019, 48:107-118.
[7] Peng Song, Jiye Liang, Yuhua Qian, Wei Wei, Feng Wang. A cautious ranking methodology with its application for stock screening, Applied Soft Computing, 2018, 71:835-848.
[8] Wei Wei, Xiaoying Wu, Jiye Liang, Junbiao Cui, Yijun Sun. Discernibility matrix based incremental attribute reduction for dynamic data, Knowledge-Based Systems, 2018, 140:142-157.
[9] Wei Wei, Junbiao Cui, Jiye Liang, Junhong Wang. Fuzzy rough approximations for set-valued data, Information Sciences, 2016, 360:181-201.
[10] Wei Wei, Junhong Wang, Jiye Liang, Xin Mi, Chuangyin Dang. Compacted decision tables based attribute reduction, Knowledge-Based Systems, 2015, 86:261-277.
[11] Wei Wei, Jiye Liang, Junhong Wang, Yuhua Qian. Decision-relative discernibility matrixes in the sense of entropies. International Journal of General Systems, 2013, 42(7):721-738.
[12] Wei Wei, Jiye Liang, Yuhua Qian, Chuangyin Dang. Can fuzzy entropies be effective measures for evaluating the roughness of a rough set, Information Sciences, 2013, 232:143-166.
[13] Jiye Liang, Junrong Mi, Wei Wei, Feng Wang. An accelerator for attribute reduction based on perspective of objects and attributes, Knowledge-Based Systems, 2013, 44:90-100.
[14] Yuhua Qian, Jiye Liang, Peng Song, Chuangyin Dang, Wei Wei. Evaluation of the decision performance of the decision rule set from an ordered decision table. Knowledge-Based Systems, 2012, 36: 39-50.
[15] Yuhua Qian, Jiye Liang, Wei Wei. Consistency-preserving attribute reduction in fuzzy rough set framework. International Journal of Maching Learning and Cybernetics, 2012, 2012:45-53.
[16] Wei Wei, Jiye Liang, Yuhua Qian. A comparative study of rough sets for hybrid data. Information Sciences, 2012, 190:1-16.
[17] Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang, Chuangyin Dang. Comparative study of decision performance of decision tables induced by attribute reductions. International Journal of General Systems, 2010, 39(8): 813-838.
[18] Jiye Liang, Wei Wei, Yuhua Qian. An incremental approach to computation of a core based on conditional entropy. Systems Engineering-Theory & Practice, 2008, 4: 81-89.
[1] 基于粗糙集的图像处理系统，软件著作权登记，2014，登记号：2014SR003417
[2] 基于粗糙集的数据降维系统，软件著作权登记，2014，登记号：2014SR108856
[3] 微博情感分析系统，软件著作权登记，2017，登记号：2017SR328771
[4] 基于Android的图书推荐系统，软件著作权登记，2018，登记号：2018SR674609
[1] 国家自然科学基金面上项目(No. 61772323): 面向高维数据的粒计算理论与方法, 2018.01－2021.12 (主持)
[2] 国家重点研发计划项目(No. 2019YFE0118200): 基于自组网无人机群的污染气体激光监测平台, 2020.12－2023.11 (第三参与)
[3] 国家自然科学基金面上项目(No.61976184): 度量学习的优化技术与高效算法研究, 2020.01－2023.12 (第二参与)
[4] 国家自然科学基金青年项目(No. 61303008): 混合数据多粒度粗糙计算模型与算法研究, 2014.01－2016.12 (主持)
[5] 国家自然科学基金重点项目(No. 61432011 ): 面向大数据的粒计算理论与方法, 2015.01－2019.12 (参与)
[6] 国家自然科学基金青年项目(No.61202018): 多概念格集成与知识获取方法研究, 2013.01－2015.12 (参与)
[7] 山西省自然科学基金青年项目(No.2013021018-1): 面向混合数据的粒度计算理论与方法研究, 2013.01－2015.12 (主持)
[8] 973计划前期研究专项(No.2011CB11805): 基于认知机理的高维复杂数据建模理论与方法, 2011.01－2012.12 (参与)
[9] 高等学校博士学科点专项科研基金: 基于粒计算的符号数据分析方法研究, 2011.01－2013.12 (参与)
[10] 山西省高校科技开发项目: 面向时间序列数据的概念格模型、算法及应用, 2010.05－2012.05 (参与)