最终学历：研究生
研究方向：计算智能与数据挖掘
电子邮箱：lidy@sxu.edu.cn
最终学位：博士
研究生导师：博士生导师
联系电话：0351-7010566
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.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)
2.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);
3.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);
4.教育部科学技术研究重点项目: 信息系统中的不确定度量及其知识获取方法研究, 2007.01－2009.12,(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.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);
7.973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, (第二参与人);
8.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, (第二参与人);
9.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, (第二参与人)1;
10.高等学校博士学科点专项科研基金(No.20101401110002): 基于粒计算的符号数据分析方法研究, 2011.01-2013.12, (第二参与人);
11.教育部科学技术研究重点项目: 基于粒度计算的不确定性信息处理的理论与方法研究, 2006.01－2008.12 (第二参与人);
12.高等学校博士学科点专项科研基金(No. 20050108004): 基于软计算技术的粒度计算理论和方法的研究, 2006.01－2008.12, (第二参与人)。
[1] Chao Zhang(*), Juanjuan Ding, Jianming Zhan, Deyu Li. Incomplete three-way multi-attribute group decision making based on adjustable multigranulation Pythagorean fuzzy probabilistic rough sets. International Journal of Approximate Reasoning, 2022, 147: 40-59. (CCF B)
[2] Chao Zhang, Wenhui Bai, Deyu Li(*), Jianming Zhan. Multiple attribute group decision making based on multigranulation probabilistic models, MULTIMOORA and TPOP in incomplete q-rung orthopair fuzzy information systems. International Journal of Approximate Reasoning, 2022, 143: 102-120. (CCF B)
Top↑[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
Top↑[1] 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.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] Qingbin Ji, Deyu Li, Zhen Jin. Divisive Algorithm Based on Node Clustering Coefficient for Community Detection. IEEE Access, 2020, 8: 142337-142347, SCI.
[9] Jing Zhang, Yanhui Zhai, Deyu Li. Fuzzy decision implications: interpretation within fuzzy decision context. CAAI Transactions on Intelligence Technology, 2020, 4(4): 231-236.
[10] 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.
[11] 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.
[12] 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.
Top↑[1] 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.
[2] 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.
[3] 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.
[4] Yanhui Zhai, Deyu Li. Knowledge structure preserving fuzzy attribute reduction in fuzzy formal context. International Journal of Approximate Reasoning, 2019, 115: 209-220 SCI.
[5] Ruixia Zhang, Deyu Li. Identifying Influential Rumor Spreader in Social Network. Discrete Dynamics in Nature and Society, 2019, 5, 2019: 1-10, SCI.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] Zheng J, Wang S, Li D, et al. Personalized recommendation based on hierarchical interest overlapping community. Information Sciences, 2019, 479: 55-75, SCI.
Top↑[1] 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.
[2] 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.
[3] 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.
[4] Yanhui Zhai, Deyu Li, Kaishe Qu. Fuzzy decision implication canonical basis. International Journal of Machine Learning and Cybernetics, 2018, 9: 1909-1917, SCI.
[5] Yanhui Zhai, Deyu Li, Jing Zhang. Variable decision knowledge representation: A logical description. Journal of Computational Science, 2018, 25: 161-169, SCI.
[6] 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.
Top↑[1] 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.
[2] Juan Lu, Deyu Li, Yanhui Zhai, Hexiang Bai. Granular Structure of Type-2 Fuzzy Rough Sets over Two Universes. Symmetry, 9(2017)11, SCI.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] Ruixia Zhang, Deyu Li. Rumor propagation on networks with community structure. Physica A-Statistical Mechanics and its Applications, 2017, 483: 375-385, SCI.
[9] 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.
[10] 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.
Top↑[1] Zheng J, Li D, Arun Kumar S. Group User Profile Modeling Based on Neural Word Embeddings in Social Networks. Symmetry, 2018, 10(10), SCI.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
Top↑[1] 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.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] 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.
[9] Chuanjun Zhao, Suge Wang, Deyu Li. Fuzzy sentiment membership determining for sentiment classification fuzzy sentiment classification. IEEE International Conference on Data Mining Workshop, 2015.
[10] 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.
[11] 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.
[12] 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.
[13] 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.
[14] 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.
[15] 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.
[16] Zhai Y, H, , Li D, Y, , Qu K, S. Fuzzy decision implications. Knowledge-Based Systems, 37(2013)230-236, SCI.
[17] 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.
[18] 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.
[19] 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.
[20] 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.
[21] Xiangping Kang, Deyu Li, Suge Wang. A multi-instance ensemblelearning model based on concept lattice. Knowledge-Based System, 2011, 24(8): 1203-1213, SCI.
[22] 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.
[23] 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.
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