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  • 李德玉

    最终学位:博士

    导师类型:博士生导师

  • 电子邮箱:lidy@sxu.edu.cn

    联系电话:0351-7018775

  • 研究方向:数据挖掘

  • 个人简介
  • 学术论文
  • 科研项目

李德玉,博士、二级教授、博士生导师,山西大学计算机与信息技术学院(大数据学院)党委书记,计算智能与中文信息处理教育部重点实验室副主任,计算机科学与技术一级学科博士点方向带头人,山西省学术技术带头人,山西省高校青年学术带头人,山西省计算机学会副理事长,CCF模式识别与人工智能专委会委员,中国人工智能学会粒计算与知识发现专委会常务委员。曾在清华大学智能技术与系统国家重点实验室从事博士后研究工作,获得博士后证书,作为高级访问学者在香港中文大学、加拿大里贾纳大学进行合作研究,曾任山西大学科技处处长、山西大学计算机与信息技术学院院长。

主持国家自然科学基金项目5项,教育部高等学校博士学科点专项科研基金(博导类)项目1项,教育部科学技术研究重点项目1项,中国博士后基金项目1项;作为主要成员参与国家863计划项目3项,国家自然科学基金重点项目2项,国家自然科学基金联合资助重点项目1项,国家973计划前期专项项目1项。主要从事数据挖掘方面的教学科研工作,在国际国内重要学术刊物《IEEE Transactions on Knowledge and Data Engineering》、《Pattern Recognition》、《Information Sciences》、《Knowledge-Based System》、《Expert Systems with Application》、《Computer Speech and Language》、《中国科学》、《计算机研究与发展》等国际国内重要学术期刊发表论文150余篇,其中SCI收录论文80余篇,由科学出版社合作出版专著1部,与他人合作在科学出版社出版著作1部。作为主要成员完成的“基于计算智能的数据挖掘理论与方法研究”获得2007年度山西省科学技术奖(自然科学类)一等奖(排名第二),“基于粒计算的数据建模理论与方法研究”获得2016年度山西省科学技术奖(自然科学类)一等奖(排名第三),“科技项目完成情况的模糊综合评价研究”获得2009山西省第六次社科研究优秀成果一等奖(排名第四)。2011年完成的“基于Web的山西旅游信息服务系统”经山西省科技厅组织鉴定,达到了国际先进水平(排名第一)。

[1]Chao Zhang, Deyu Li, Jiye Liang, Baoli Wang. MAGDM-oriented dual hesitant fuzzy multigranulation probabilistic models based on MULTIMOORA. International Journal of Machine Learning and Cybernetics, 2021, 12(5):1219-1241.SCI

[2] Yujie Fu, Jian Liao, Yang Li, Suge Wang, Deyu Li, Xiaoli Li. Multiple Perspective Attention Based on Double BiLSTM for Aspect and Sentiment Pair Extract. Neurocomputing, 2021, 438(2021):302-311.SCI

[3]Chao Zhang, Juanjuan Ding, Deyu Li, Jianming Zhan. A novel multi-granularity three-way decision making approach in q-rung orthopair fuzzy information systems. International Journal of Approximate Reasoning, 2021, 138:161-187.

[4]Chen Xin, Hai Zhen, Wang Suge, Li Deyu, Wang Chao, Huanbo Luan. Metaphor identification:A contextual inconsistency based neural sequence labeling approach [J]. Neurocomputing. 2021, 428:268–279. SCI

[5]Chen Xin, Hai Zhen, Li Deyu, Wang Suge, Wang Dian. Jointly identifying rhetoric and implicit emotions via multi-task learning [C]//Findings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing. 2021:1429–1434.

[6]Zhao Chuanjun, Wang Suge, and Li Deyu. Cross-Domain Sentiment Classification via Parameter Transferring and Attention Sharing Mechanism, Information Sciences, 2021, 578:281-296, SCI

[7]赵传君, 王素格, 李德玉. 跨领域文本情感分类研究进展.软件学报, 2020, 31(6):1723-1746

[8]高琪, 李德玉, 王素格. 基于模糊不一致对的多标记属性约简.智能系统学报, 2020, 15(2):374-385

[9]吕月娇, 李德玉. 结合标记相关性的特征选择算法.模式识别与人工智能, 2020, 33(8):716-723

[10]Zhao Chuanjun, Wang Suge, and Li Deyu. Multi-source domain adaptation with joint learning for cross-domain sentiment classification[J]. Knowledge-Based Systems, 2020, 191:105254, SCI

[11]Chao Zhang, Deyu Li, Jiye Liang. Multi-granularity three-way decisions with adjustable hesitant fuzzy linguistic multigranulation decision-theoretic rough sets over two universes. Information Sciences. 2020, 507:665-683, SCI

[12]Shaoxia Zhang, Deyu Li, Yanhui Zhai, Xiangping Kang. A comparative study of decision implication, concept rule and granular rule. Information Sciences. 2020, 508:33-49, SCI

[13]Chao Zhang, Deyu Li, Jiye Liang. Interval-valued hesitant fuzzy multi-granularity three-way decisions in consensus processes with applications to multi-attribute group decision making. Information Sciences. 2020, 511:192-211, SCI

[14]Qingbin Ji, Deyu Li, Zhen Jin. Divisive Algorithm Based on Node Clustering Coefficient for Community Detection, IEEE Access, 2020, 8:142337-142347. SCI

[15]Jing Zhang, Yanhui Zhai, Deyu Li. Fuzzy decision implications:interpretation within fuzzy decision context, CAAI Transactions on Intelligence Technology, 2020, 4(4):231-236

[16]Peng Zhang, Suge Wang, Deyu Li, Xiaoli Li, Zhikang Xu. Combine Topic Modeling with Semantic Embedding:Embedding Enhanced Topic Model, IEEE Transactions on Knowledge and Data Engineering, 2020, 32(12):2322-2335. SCI

[17]Chao Zhang, Deyu Li, Xiangping Kang, Yudong Liang, Said Broumi, Arun Kumar Sangaiah. Multi-attribute group decision making based on multigranulation probabilistic models with interval-valued neutrosophic information, Mathematics, 2020, 8. SCI

[18]Chao Zhang, Deyu Li, Xiangping Kang, Dong Song, Arun Kumar Sangaiah, Said Broumi. Neutrosophic fusion of rough set theory:An overview. Computers in Industry, 2020, 115:103117. SCI

[19]张超, 李德玉.考虑关联性与优先关系的区间犹豫模糊图决策. 计算机研究与发展, 2019, 56(11):2438-2447.

[20]Chao Zhang, Deyu Li, Yanhui Zhai, Yuanhao Yang. Multigranulation rough set model in hesitant fuzzy information systems and its application in person-job fit. International Journal of Machine Learning and Cybernetics, 2019, 10(4):717-729. SCI

[21]姚二亮, 李德玉, 李艳红, 白鹤翔, 张超. 基于双空间模糊辨识关系的多标记特征选择. 模式识别与人工智能, 2019, 32(8):709-717.

[22]Yanhui Zhai, Deyu Li. Knowledge structure preserving fuzzy attribute reduction in fuzzy formal context, International Journal of Approximate Reasoning, 2019, 115:209-220 SCI

[23]Ruixia Zhang, Deyu Li. Identifying Influential Rumor Spreader in Social Network. Discrete Dynamics in Nature and Society, 2019.5, 2019:1-10, SCI

[24]Hexiang Bai, Deyu Li, Yong Ge, Jinfeng Wang. A spatial heterogeneity-based rough set extension for spatial data, International Journal of Geographical Information Science, 2019, 33(2), 240-268, SCI

[25]Liao Jian, Wang Suge, Li Deyu. Identification of fact-implied implicit sentiment based on multi-level semantic fused representation. Knowledge-Based Systems, 2019, 165(2019):197-207, SCI

[26]Zhao Chuanjun, Wang Suge, and Li Deyu. Exploiting social and local contexts propagation for inducing Chinese Microblog-specific sentiment lexicons. Computer Speech and Language. 2019, 55:57-81, SCI

[27]Juan Lu , Deyu Li, Yanhui Zhai, Hexiang Bai. Belief and plausibility functions of type-2 fuzzy rough sets, International Journal of Approximate Reasoning, 2019, 105:194-216, SCI

[28]Zheng J, Wang S, Li D, et al. Personalized recommendation based on hierarchical interest overlapping community. Information Sciences, 2019, 479:55-75 , SCI

[29]Chao Zhang ; Deyu Li ; Said Broumi; Arun Kumar Sa, Medical diagnosis based on single-valued neutrosophic probabilistic rough multisets over two universes, Symmetry, 2018, 10(6):1-16, SCI

[30]Chao Zhang, Deyu Li, Multi-attribute group decision making based on bipolar-valued fuzzy multigranulation rough sets over two universes, 2018, Frontiers in Artificial Intelligence and Applications, 309:87-93

[31]Chao Zhang, Deyu Li, Yimin Mu, Dong Song. A pythagorean fuzzy multigranulation probabilistic model for mine ventilator fault diagnosis, Complexity, 2018, 2018:1-19. SCI

[32]Yanhui Zhai; Deyu Li; Kaishe Qu, Fuzzy decision implication canonical basis, International Journal of Machine Learning and Cybernetics, 2018, 9:1909-1917. SCI

[33]Yanhui Zhai, Deyu Li, Jing Zhang. Variable decision knowledge representation:A logical description, Journal of Computational Science, 2018, 25:161-169. SCI

[34]陈鑫, 王素格, 李德玉, 陈千, 王元龙. 面向高考阅读理解鉴赏题语言风格判别方法. 中文信息学报, 2018, 31(6):214-222.

[35]张超, 李德玉. 犹豫模糊图及其在多属性决策中的应用, 模式识别与人工智能, 2017, 30(11):1012-1018

[36]Juan Lu, Deyu Li, Yanhui Zhai, Hexiang Bai. Granular Structure of Type-2 Fuzzy Rough Sets over Two Universes, Symmetry, 9(2017)11. SCI

[37]Chuanjun Zhao, Suge Wang, and Deyu Li. Deep transfer learning for social media cross-domain sentiment classification. X. Cheng et al. (Eds.):SMP 2017, CCIS 774:1-12, 2017.

[38]郭荣超, 李德玉, 王素格. 基于标记关系的模糊粗糙集模型. 模式识别与人工智能. 2017, 30(10):952-960.

[39]Zhang C., Li D. Y., Sangaiah A. K., Broumi S., Merger and acquisition target selection based on interval neutrosophic multigranulation rough sets over two universes, Symmetry, 9 (2017)126. SCI

[40]Liao Jian, Wang Suge, Li Deyu, et al. FREERL:Fusion relation embedded representation learning framework for aspect extraction. Knowledge-Based Systems, 2017, 135(2017):9-17. SCI

[41]Zhang C., Li D. Y., Mu Y. M., Song D., An interval-valued hesitant fuzzy multigranulation rough set over two universes model for steam turbine fault diagnosis, Applied Mathematical Modelling, 42(2017)693-704. SCI

[42]Ruixia Zhang, Deyu Li. Rumor propagation on networks with community structure, Physica A-Statistical Mechanics and its Applications, 2017, 483:375-385. SCI

[43]Li D. Y., Zhang S.X., Zhai Y.H. Method for generating decision implication canonical basis based on true premises. International Journal of Machine Learning & Cybernetics, 8(2017)57-67. SCI

[44]冀庆斌, 康茜, 李德玉, 王素格. 基于桥系数的分裂社区检测算法研究. 中文信息学报, 2017, 31(3) :205-212.

[45]Zheng J, Li D, Arun Kumar S. Group User Profile Modeling Based on Neural Word Embeddings in Social Networks. Symmetry, 2018, 10(10). SCI

[46]Chao Zhang, Deyu Li, Jiye Liang. Hesitant fuzzy linguistic rough set over two universes model and its applications. International Journal of Machine Learning and Cybernetics. 2016, 9. SCI

[47] Chao Zhang, Yanhui Zhai, Deyu Li. Multigranulation rough sets in hesitant fuzzy linguistic information systems, 2016 International Joint Conference on Rough Sets (IJCRS 2016), Santiago, Chile, 2016.10.7-2016.10.11, 9920:307-317.

[48]Zhao Chuanjun, Wang Suge, Li Deyu. Determining fuzzy membership for sentiment classification:A three-layer sentiment propagation model. Plos One, 2016, 11(11):1-32. SCI

[49]Peng Zhang, Suge Wang, Deyu Li. Cross-lingual sentiment classification:Similarity discovery plus training data adjustment. Knowledge-Based Systems, 2016, 107(2016):129-141. SCI

[50]Hua Li, Deyu Li, Yanhui Zhai, Suge Wang, Jing Zhang:A novel attribute reduction approach for multi-label data based on rough set theory. Informantion Science. 2016, 367-368:827-847. SCI

[51] Lu J., Li D. Y., Zhai Y. H., Li H., Bai H. X., A model for type-2 fuzzy rough sets. Information Sciences, 2016, 328, 359-377. SCI

[52]张鹏, 王素格, 李德玉. 一种策略融合的跨语言文本情感倾向判别方法. 中文信息学报, 2016, 30(2):32-40.

[53]Zhang C., Li D. Y., Ren R. Pythagorean fuzzy multigranulation rough set over two universes and its applications in merger and acquisition, International Journal of Intelligent Systems, 31, 921-943, 2016. SCI

[54]Bai H. X. , Li D. Y., Ge Y., Wang J. F., Detecting nominal variables’spatial associations using conditional probabilities of neighboring surface objects’categories. Information Sciences, 2016, 329, 701-718. SCI

[55]Zhang C., Li D. Y., Yan Y., A dual hesitant fuzzy multigranulation rough set over two-universe model for medical diagnoses, Computational and Mathematical Methods in Medicine, 2015:1-12. SCI

[56]梁吉业, 钱宇华, 李德玉, 胡清华. 大数据挖掘的粒计算理论与方法, 中国科学(E辑:信息科学), 2015, 45(11):1355-1369.

[57] Zhang R. X. , Li D. Y., Jin Z. Dynamic analysis of a delayed model for vector-borne diseases on bipartite networks. Applied Mathematics and Computation, 263, 342-352, 2015. SCI

[58]廖健, 王素格, 李德玉, 张鹏. 基于观点袋模型的汽车评论情感极性分类. 中文信息学报, 2015, 29(3):113-120.

[59]赵传君, 王素格, 李德玉, 李欣. 基于分组提升集成的跨领域文本情感分类.计算机研究与发展, 2015, 52(3):629-938.

[60]Hu J. L., Ge Y., Chen Y. H., Li D. Y., Super-resolution land cover mapping based on multiscale spatial regularization, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(5), 2031-2039, 2015. SCI

[61]翟岩慧, 李德玉, 曲开社. 决策蕴涵规范基. 电子学报, 2015, 43(1):18-23.

[62] Zhai Y. H., Li D. Y., Qu K. S., Decision implication canonical basis:A logical perspective, Journal of Computer and System Sciences, 81(1), 208-218, 2015. SCI

[63]Chuanjun Zhao, Suge Wang, Deyu Li. Fuzzy sentiment membership determining for sentiment classification fuzzy sentiment classification. IEEE International Conference on Data Mining Workshop. 2015.

[64]Li Hua, Li Deyu, Zhai Yanhui, Wang Suge. A Variable Precision Attribute Reduction Approach in Multilabel Decision Tables. The Scientific World Journal, 2014, 1-8. SCI

[65]Zhai Y. H., Li D. Y., Qu K. S. Decision implications:a logical point of view, International Journal of Machine Learning and Cybernetics, 5(2014) 509-516. SCI

[66]Yanhong Li, Deyu Li, Suge Wang, Yanhui Zhai. Incremental entropy-based clustering on categorical data streams with concept drift, Knowledge-Based Systems, 2014, 59:33-47. SCI

[67]Bai H. X., Ge Y., Wang J. F., Li D. Y., Liao Y. L., Zheng X. Y. A method for extracting rules from spatial data based on rough fuzzy sets , Knowledge-Based Systems, 57(2014), 28-40. SCI

[68]Cao F. Y., Liang J. Y., Li D. Y., Zhao X. W., A weighting k-Modes algorithm for subspace clustering of categorical data, Neurocomputing, 108(2013) 23-30. SCI

[69]Xiangping KANG, Deyu LI, Suge WANG, Kaishe QU. Rough set model based on formal concept analysis, Information Sciences. 222(2013):611-625, 2013-05. SCI

[70]Zhai Y. H., Li D. Y., Qu K. S. Fuzzy decision implications, Knowledge-Based Systems, 37(2013)230-236. SCI

[71]Suge Wang, Deyu Li, Lidong Zhao, Jiahao Zhang. Sample cutting method for imbalanced text sentiment classification based on BRC. Knowledge-Based Systems. 2013, 37(2013):451-461. SCI

[72]Xiangping Kang, Deyu Li, Suge Wang, Kaishe Qu. Formal concept analysis based on fuzzy granularity base for different granulations. Fuzzy Sets and Systems. 2012, 203:33-48. SCI

[73]Kang X. P., Li D. Y., Wang S. G. Research on domain ontology in different granulations based on concept lattice. Knowledge-Based Systems, 27(2012)152-161. SCI

[74]Liang J. Y., Zhao X. W., Li D. Y., Cao F. Y., Dang C. Y. Determining the number of clusters using information entropy for mixed data, Pattern Recognition, 45(2012) 2251-2265. SCI

[75]Xiangping Kang, Deyu Li, Suge Wang. A multi-instance ensemblelearning model based on concept lattice. Knowledge-Based System, 2011, 24(8):1203-1213. SCI

[76]王素格, 李德玉, 魏英杰. 基于赋权粗糙隶属度的文本情感分类方法. 计算机研究与发展. 2011, 48(5):855-861.

[77]Suge Wang, Deyu Li, Songxiao Song, Yingjie Wei, Hongxia Li. A feature selection method based on improved fisher’s discriminant ratio for text sentiment classification. Expert Systems with Applications. 2011, 38(2011):8696-8702. SCI

1. 国家自然科学基金项目(No.62072294): 基于形式概念分析的关联数据知识表示与推理研究, 2021.01-2024.12, (主持人)

2. 国家自然科学基金项目(No.61672331): 基于标记概念监督的多标记粒计算理论与算法研究, 2017.01-2020.12, (主持人)

3. 国家自然科学基金项目(No.61272095): 多标记数据的粒计算理论与算法研究, 2013.01-2016.12, (主持人)

4. 国家自然科学基金项目(No.60970014): 面向混合数据的粒度计算理论与方法研究, 2010.01-2012.12, (主持人)

5. 国家自然科学基金项目(No.60573074): 知识粗糙性度量与粗糙集数据分析方法研究, 2006.01-2008.12, (主持人)

6. 高等学校博士学科点专项科研基金(No.200801080006): 信息系统框架下混合数据的粒度分析理论与算法研究, 2009.01-2011.12, (主持人)

7. 教育部科学技术研究重点项目(No.207018): 信息系统中的不确定度量及其知识获取方法研究, 2007.02-2009.12, (主持人)

8. 山西省自然科学基金(No.2010011021-1): 混合数据的粒度结构与知识获取算法研究, 2010.01-2012.12, (主持人)

9. 山西省自然科学基金(No.20041040): 粗糙熵的拓扑刻画及其应用研究, 2004.06-2006.12, (主持人)

10. 山西省回国留学人员科研资助项目(No.2013-014): 多标记数据分析理论与算法研究, 2013.07-2015.12, (主持人)

11.山西省科技攻关计划:智能化计算机辅助射击系统, 2005.06-2007.12, (主持人)

12.太原市科技攻关计划:基于WEB的山西旅游信息服务系统的研究与开发, 2009.06-2010.06, (主持人)

13.横向科研项目:贫困地区资源环境监测评估与生态价值评价技术, 2012.08-2015.07, (主持人)

14.横向科研项目:教育厅委托成人本科考试系统, 2011.08-2012.07, (主持人)

15.横向科研项目:省气象台委托, 2011.08-2012.07, (主持人)

16.横向科研项目:高速公路桥梁检测系统, 2009.08-2010.07, (主持人)

17.国家科技重大专项(No.2020AAA0106100): 认知计算基础理论与方法研究, 2020.11-2024.11, (参与人)

18.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, (参与人)

19.国家自然科学基金重点项目(No.71031006): 高维复杂数据分析理论及其在投资决策中的应用, 2011.01-2014.12, (参与人)

20.973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, (参与人)

21.国家863计划项目(No.2007AA01Z165): 面向高维复杂数据的粒度计算理论与算法研究, 2007.10-2009.12, (参与人)

22.国家863计划项目(No.2004AA115460): 专家系统及计算机软硬件系统评价技术研究, 2004.10-2005.12, (参与人)

23.国家863计划项目(No.2001AA110333-1): 中文文本语料库深加工质量检验技术, 2001.12-2004.12, (参与人)