学术著作（2部）：
[1] 张贤勇，苗夺谦, 王国胤, 李天瑞, 姚一豫。三支决策与三层分析。北京：科学出版社，2022.
[2] 苗夺谦, 卫志华，王睿智，赵才荣，陈玉明，张贤勇。粒计算中的不确定性分析。北京：科学出版社，2019.
近年学术论文：
2024年补充（10篇）
[1] Xianyong Zhang, Zhong Yuan, Duoqian Miao. Outlier detection using three-way neighborhood characteristic regions and corresponding fusion measurement. IEEE Transactions on Knowledge and Data Engineering, 2024, doi: 10.1109/TKDE.2023.3312108. (SCI，数据挖掘国际顶刊、中国计算机学会CCF推荐A类国际期刊)
[4] Jiefang Jiang, Xianyong Zhang, Zhong Yuan. Feature selection for classification with Spearman’s rank correlation coefficient-based self-information in divergence-based fuzzy rough sets. Expert Systems with Applications, 2024, Accept.
[5] Qian Wang, Xianyong Zhang, Feature selection using three-stage heuristic measures based on mutual fuzzy granularities. Applied Intelligence, 2024, 54, 1445-1473. (SCI)
[6] Lianhui Luo, Jilin Yang, Xianyong Zhang, Junfang Luo. Tri-level attribute reduction based on neighborhood rough sets. Applied Intelligence, 2024, accept. (SCI)
[7] Xin Xie, Xianyong Zhang. Systematic attribute reductions based on double granulation structures and three-view uncertainty measures in interval-set decision systems. International Journal of Approximate Reasoning, 2024, accepted.
[8] Hongyuan Gou, Xianyong Zhang. Three-level Models of Compromised Multi-granularity Rough Sets Using Three-way Decision, Journal of Intelligent & Fuzzy Systems, 2024, DOI: 10.3233/JIFS-236063 (SCI)
[9] Hong Sun, Xianyong Zhang. A probability-exponential method of converting Z-numbers and its systematic applications in multi-attribute decision making, Journal of Intelligent & Fuzzy Systems, 2024, DOI: 10.3233/JIFS-235304 (SCI)
[10] 罗一羽;杨霁琳;张贤勇;孟雄. 混合信息系统中基于邻域粗糙集的双评价三支聚类算法. 小型微型计算机系统,202,录用(EI)
[11] 刘梦迪, 张贤勇, 莫智文. 基于改进距离测度的概率犹豫模糊多属性群决策新方法. 山东大学学报(理学版),2024,59.
[12 ]王潇雪;张贤勇. 双论域区间值直觉模糊vague粗糙集及其应用, 四川师范大学学报(自然科学版). 2024,47(01).
2023年（11篇）
[1] Hongyuan Gou, Xianyong Zhang, Jilin Yang, Zhiying Lv. Three-way fusion measures and three-level feature selections based on neighborhood decision systems. Applied Soft Computing 148 (2023) 110842 (SCI)
[2] Benwei Chen, Xianyong Zhang, Jilin Yang. Feature selections based on three improved condition entropies and one new similarity degree in interval-valued decision systems. Engineering Applications of Artificial Intelligence 126 (2023) 107165 (SCI)
[3] Jiefang Jiang, Xianyong Zhang, Jilin Yang. Unsupervised feature selection based on incremental forward iterative Laplacian score. Artificial Intelligence Review, 2023, 56(5): 4077-4112.
[4] Xiaoxue Wang, Xianyong Zhang. Linear-combined rough vague sets and their three-way decision modeling and uncertainty measurement optimization. International Journal of Machine Learning and Cybernetics 14, 3827-3850 (2023) (SCI)
[5] Runkang Li, Jilin Yang, Xianyong Zhang. Optimal scale selection based on three-way decisions with decision-theoretic rough sets in multi-scale set-valued decision tables. International Journal of Machine Learning and Cybernetics, 2023, 14: 3719-3736 (SCI)
[6] Mengdi Liu, Xianyong Zhang, Zhiwen Mo, A modified correlation coefficient of probabilistic hesitant fuzzy sets and its applications of decision making, medical diagnosis, cluster analysis. International Journal of Fuzzy Systems, 25, 2609–2627 (2023) (SCI)
[7] Xianyong zhang, Qian Wang, Yunrui Fan. Feature selection using fuzzy-neighborhood relative decision entropy with class-level priority fusion. Journal of Intelligent & Fuzzy Systems 44(6) 9527-9544, 2023 (SCI)
[8] 王茜,张贤勇.不完备邻域加权多粒度决策理论粗糙集及三支决策. 山东大学学报(理学版). 2023,58(09) 94-104
[9] 唐鹏飞，张贤勇，莫智文。基于相对知识粒度的区间集决策信息表不确定性度量。南京理工大学学报。2023,47(01) 117-125
[10] 任苡嘉;张贤勇;张敏;杨霁琳. 基于形式背景转化的概念格属性约简，郑州大学学报(理学版). 2023,55(05) 89-94
[11] 黄心宏,张贤勇.基于双量化的双论域多粒度直觉模糊粗糙集[J]. 四川师范大学学报(自然科学版). 2023,46(1) 125-133
2022年（20篇）
[1] Xianyong Zhang, Yiyu Yao. Tri-level attribute reduction in rough set theory, Expert Systems with Applications, 2022, 190, 116187. (SCI)
[2] Xianyong Zhang, Jiefang Jiang, Measurement, modeling, and reduction of decision-theoretic multigranulation fuzzy rough sets based on three-way decision, Information Sciences. 607 (2022) 1550--1582. (SCI)
[3] Xianyong Zhang, Jiang Chen. Three-hierarchical three-way decision models of conflict analysis: A qualitative improvement and a quantitative extension. Information Sciences, 2022, 587: 485-514. (SCI)
[4] Xianyong Zhang, Hongyuan Gou. Statistical-mean double-quantitative K-nearest neighbor classification learning based on neighborhood distance measurement. Knowledge-Based Systems, 2022, 250: 109018 (SCI)
[5] Hongyuan Gou, Xianyong Zhang. Feature selection based on double-hierarchical and multiplication-optimal fusion measurement in fuzzy neighborhood rough sets. Information Sciences. 2022, 618: 434-467. (SCI)
[6] Jiefang Jiang, Xianyong Zhang, Jilin Yang. Double-quantitative feature selection using bidirectional three-level dependency measurements in divergence-based fuzzy rough sets. Engineering Applications of Artificial Intelligence. 2022, 115: 105226
[7] Xianyong Zhang, Yanhong Zhou, Xiao Tang, Yunrui Fan. Three-way improved neighborhood entropies based on three-layer granular structures, International Journal of Machine Learning and Cybernetics, 2022, https://doi.org/10.1007/s13042-021-01493-4. (SCI)
[8] Zhong Yuan , Hongmei Chen, Tianrui Li, Xianyong Zhang, Binbin Sang. Multigranulation Relative Entropy-Based Mixed Attribute Outlier Detection in Neighborhood Systems. IEEE Transactions On Systems, Man, And Cybernetics: Systems, 2022, 52(5): 5175 - 5187. (SCI)
[9] Jilin Yang, Xianyong Zhang, Keyun Qin. Constructing Robust Fuzzy Rough Set Models Based on Three-way Decisions. Cognitive Computation, 2022, https://doi.org/10.1007/s12559-021-09863-4. (SCI)
[10] Jilin Yang, Yiyu Yao, Xianyong Zhang. A model of three-way approximations of intuitionistic fuzzy sets. International Journal of Machine Learning and Cybernetics, 2022, 13(1): 163-174. (SCI)
[11] Shan Gao, Xianyong Zhang. Linear orthopair fuzzy sets, International Journal of Fuzzy Systems, 2022, 24, 1814–1838 (SCI)
[12] Xianyong Zhang, Yunrui Fan, Yuesong yao, Jilin Yang. Class-specific attribute reducts based on neighborhood rough sets. Journal of Intelligent & Fuzzy Systems, 2022, 43(6) 7891-7910. (SCI)
[13] Xin Xie, Xianyong Zhang, Shiyu Zhang. Rough set theory and attribute reduction in interval-set information system. Journal of Intelligent & Fuzzy Systems, 2022, doi: 10.3233/JIFS-210662. (SCI)
[14] Xianyong Zhang, Xiaoxue Wang, Zhiwen Mo, Qian Wang, Xiao Tang. Three-Level and Three-Way Vagueness Similarity Measurements for Electrocardiogram (ECG) Data Analysis, ISKE 2021. (EI)
[15] Qian Wang, Xiaoxue Wang, Xianyong Zhang. Binary boundaries and power set space of graded rough sets and their correlative ECG (Electrocardiogram) data analysis. IJCRS 2022. (EI)
[16] 王茜,张贤勇,吕智颖.不完备决策信息系统的混合条件熵与多属性决策.系统工程理论与实践:. 2022,42(12) (EI)
[17] 黄心宏，张贤勇，杨霁琳. 基于直觉模糊关系的双论域多粒度概率粗糙集。模式识别与人工智能, 模式识别与人工智能,2022,35(05):439-450. (EI)
[18] 谢鑫,张贤勇,杨霁琳.融合信息增益与基尼指数的决策树算法[J].计算机工程与应用,2022,58(10):139-144.
[19] 谢鑫,张贤勇,王旋晔,唐鹏飞.变精度邻域等价粒的邻域决策树构造算法[J].计算机应用,2022,42(02):382-388.
[20] 谢鑫，张贤勇，杨霁琳。邻域等价关系诱导的改进ID3决策树算法。计算机应用研究, 2022,39(01): 102-105+112.
2021年（10篇）
[1] Xianyong Zhang, Hong Yao, Zhiying Lv, Duoqian Miao. Class-specific information measures and attribute reducts for hierarchy and systematicness. Information Sciences, 2021, 563: 196-225. (SCI/EI, ESI)
[2] Xianyong Zhang, Hongyuan Gou, Zhiying Lv, Duoqian Miao. Double-quantitative distance measurement and classification learning based on the tri-level granular structure of neighborhood system. Knowledge-Based Systems, 2021, 217: 106799. (SCI/EI, ESI)
[3] Xianyong Zhang, Yunrui Fan, Shuai Chen, Linyu tang, Zhiying Lv. Classification-level and class-level complement information measures based on neighborhood decision systems. Cognitive Computation, 2021, 13(6): 1530-1555. (SCI)
[4] Xianyong Zhang, Yunrui Fan, Jilin Yang. Feature selection based on fuzzy-neighborhood relative decision entropy. Pattern Recognition Letters, 2021, 146: 100-107. (SCI/EI)
[5] Shenjun Liao, Xianyong Zhang, Zhiwen Mo. Three-level and three-way uncertainty measurements for interval-valued decision systems. International Journal of Machine Learning and Cybernetics, 2021, 12(5): 1459-1481 (SCI)
[6] Lingyu Tang, Xianyong Zhang, Zhiwen Mo. A weighted complement-entropy system based on tri-level granular structures. International Journal of General Systems, 2020, 49(8): 872-905. (SCI/EI)
[7] Hongyuan Gou, Xianyong Zhang. Compromised multi-granulation rough sets based on an attribute-extension chain. Journal of Intelligent & Fuzzy Systems, 2021, 40(1): 715-732. (SCI/EI)
[8] Lingyu Tang, Zhiwen Mo, Xianyong Zhang. Uncertainty measures for multi-granulation interval-valued decision systems. 2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2019: 156-161. (EI)
[9] 唐鹏飞，张贤勇，莫智文. 基于依赖度的区间集决策信息表属性约简，计算机应用与研究，2021，38(11): 3300-3303+3309
[10] 黄月，张贤勇. 区间值毕达哥拉斯犹豫模糊粗糙集, 模糊系统与数学,2021, 35(06): 143-152
2020年及以前（52篇）
[1] Xianyong Zhang, Jilin Yang, Lingyu Tang. Three-way class-specific attribute reducts from the information viewpoint, Information sciences, 2020, 507, 840-872. （SCI/EI收录,ESI收录）
[2] Xianyong Zhang, Xiao Tang, Jilin Yang, Zhiying Lv. Quantitative three-way class-specific attribute reducts based on region preservations. International Journal of Approximate Reasoning, 2020, 117: 96-121.（SCI/EI收录）
[3] Taopin Mu, Xianyong Zhang, Zhiwen Mo. Double-granules conditional-entropies based on three-level granular structures. Entropy, 2019, 21(7): 657. （SCI/EI收录）
[4] Zhong Yuan, Xianyong Zhang, Shan Feng. Hybrid data-driven outlier detection based on neighborhood information entropy and its developmental measures. Expert Systems With Applications, 2018,112: 243-257. （SCI/EI收录）
[5] Yiyu Yao, Xianyong Zhang. Class-Specific attribute reducts in rough set theory. Information Sciences, 2017, 418-419: 601-618. （SCI/EI收录）
[6] Xianyong Zhang, Duoqian Miao. Three-layer granular structures and three-way informational measures of a decision table. Information Sciences, 2017, 412-413: 67-86. （SCI/EI收录）
[7] Xianyong Zhang, Duoqian Miao. Three-way attribute reducts. International Journal of Approximate Reasoning, 2017, 88: 401-434. （SCI/EI收录）
[8] Xianyong Zhang, Duoqian Miao. Quantitative/qualitative region-change uncertainty/certainty in attribute reduction: Comparative region-change analyses based on granular computing. Information Sciences, 2016, 334-335: 174-204. （SCI/EI收录）
[9] Xianyong Zhang, Duoqian Miao. Double-quantitative fusion of accuracy and importance: Systematic measure mining, benign integration construction, hierarchical attribute reduction. Knowledge-Based Systems, 2016, 91: 219-240. （SCI/EI收录,ESI收录）
[10] Xianyong Zhang, Duoqian Miao. An expanded double-quantitative model regarding probabilities and grades and its hierarchical double-quantitative attribute reduction. Information Sciences, 2015, 299: 312-336. （SCI/EI收录）
[11] Xianyong Zhang, Duoqian Miao. Region-based quantitative and hierarchical attribute reduction in the two-category decision theoretic rough set model. Knowledge-Based Systems, 2014, 71: 146-161. （SCI/EI收录）
[12] Xianyong Zhang, Duoqian Miao. Reduction target structure-based hierarchical attribute reduction for two-category decision-theoretic rough sets. Information Sciences, 2014, 277: 755-776. （（SCI/EI收录,ESI扩展收录）
[13] Xianyong Zhang, Duoqian Miao. Quantitative information architecture, granular computing and rough set models in the double-quantitative approximation space of precision and grade. Information Sciences, 2014, 268: 147-168. （SCI/EI收录,ESI扩展收录）
[14] Xianyong Zhang, Duoqian Miao. Two basic double-quantitative rough set models of precision and grade and their investigation using granular computing. International Journal of Approximate Reasoning, 2013, 54(8): 1130-1148. （SCI/EI收录）
[15] Xianyong Zhang, Zhiwen Mo, Fang Xiong, Wei Cheng. Comparative study of variable precision rough set model and graded rough set model. International Journal of Approximate Reasoning, 2012, 53(1): 104-116. （SCI/EI收录）
[16] Xianyong Zhang, Duoqian Miao. Three-way weighted entropies and three-way attribute reduction, Lecture Notes in Artificial Intelligence, 2014, 8818: 707-719. （EI收录）
[17] Xianyong Zhang, Zhiwen Mo, Chang Shu, Lihong Deng. Composite product of grade approximation operators in the same direction. Advances in Intelligent and Soft Computing, 2012,147, 75-84. （EI收录）
[18] Yanhong Zhou, Zhiwen Mo, Xianyong Zhang. Three uncertainty measures in neighborhood system. Advances in Intelligent Systems and Computing, 2017, 646: 143-153. （EI收录）
[19] Yichun Huang, Zhiwen Mo, Xianyong Zhang. Covering topology countability based on a subbasis. Advances in Intelligent Systems and Computing, 2017, 646: 54-63. （EI收录）
[20] Xianyong Zhang, Duoqian Miao. LBRM algorithm for rule extraction based on rough membership. 2013 3rd International Conference on Computer Application and System Modeling (ICCASM2013), 2013, 791: 1088-1091. （EI收录）
[21] Xianyong Zhang, Duoqian Miao. Calculation analyses and attribute reduction for the double-quantitative rough set model based on logical difference of grade and precision. Proceedings of the 2013 International Conference on Information System and Engineering Management. IEEE Computer Society, 2013: 259-262. （EI收录）
[22] Tang Xiao, Jilin Yang, Xianyong Zhang. The improved approximation accuracy based on knowledge granularity. 2017 13th International Conference on Semantics, Knowledge and Grids (SKG). IEEE, 2017: 170-175. (EI收录)
[23] Zhiying Lv, Ping Huang, Xianyong Zhang, Liwei Zheng. A trapezoidal fuzzy multiple attribute decision making based on rough sets. Fuzzy Systems and Data Mining II: Proceedings of FSDM 2016, 2016, 293: 94. (EI收录)
[24] Jun Wang, Lingyu Tang, Xianyong Zhang, Yuyan Luo. Three-way weighted combination-entropies based on three-layer granular structures. Applied Mathematics and Nonlinear Sciences, 2017, 2(2): 329-340.
[25] 张贤勇, 苗夺谦. 决策粗糙集的一种新分类区域及相关比较分析. 系统工程理论与实践, 2014, 34 (12): 3204-3211. （EI收录）
[26] 何流，张贤勇，唐孝。基于知识粒化的粗糙集近似精度的泛化改进, 系统工程理论与实践,2021， 41(5): 1343-1352.(EI收录)
[27] 周艳红, 张贤勇, 莫智文. 粒化单调的邻域条件熵及其属性约简. 计算机研究与发展, 2018, 55 (11): 2395-2405. （EI收录）
[28] 张贤勇, 杨霁琳, 唐孝. 三支决策与三支关注的双量化集成. 模式识别与人工智能, 2017, 30(5): 394-402.
[29] 邓切, 张贤勇, 杨霁琳, 陈帅. 基于双论域笛卡尔积的粗糙熵与知识粒度, 模式识别与人工智能。2019, 32 (11): 975-986.
[30] 徐波, 张贤勇, 冯山. 邻域粗糙集的加权依赖度及其启发式约简算法. 模式识别与人工智能,2018, 31(3): 256-264.
[31] 杨晓玲, 张贤勇. 基于邻域粗糙隶属函数的离群点检测. 计算机工程与设计, 2019, 40(2): 533-539.
[32] 姚岳松，张贤勇，陈帅，邓切. 一种基于属性纯度的决策树归纳算法。计算机工程与设计，2021, 42(01): 142-149.
[33] 樊云瑞，张贤勇，杨霁琳。模糊邻域粗糙集的决策熵不确定性度量，计算机工程与设计，2021，42（5）：1300-1306.
[34] 袁钟, 张贤勇, 冯山. 邻域粗糙集中基于序列的混合型属性离群点检测. 小型微型计算机系统, 2018, 39(6): 1317-1322.
[35] 杨霁琳,张贤勇,唐孝. 模糊决策表中基于OWA算子的三支属性约简. 数据处理与采集, 2018, 33(4): 712-721.
[36] 杨霁琳, 张贤勇, 唐孝. 基于三支决策的模糊信息系统OWA算子参数选择. 数据处理与采集, 2016, 31(6): 1156-1163.
[37] 陈帅, 张贤勇, 唐玲玉, 姚岳松. 邻域互补信息度量及其启发式属性约简, 数据采集与处理，2020, 35(4): 630-641.
[38] 杨霁琳, 张贤勇, 唐孝, 冯林. 基于最优相似度三支决策的模糊粗糙集模型. 计算机科学, 2018, 45(10): 27-32.
[39] 唐玲玉, 张贤勇, 莫智文. 粗糙数项级数及其粗糙收敛性质. 计算机工程与应用, 2017, 53(8): 15-18.
[40] 孙小义, 张贤勇, 李露. 对称传递关系的诱导拓扑及其可数性. 计算机工程与应用, 2018, 11: 35-40.
[41] 牟恩, 张贤勇, 姚岳松，邓切. 基于邻域近似条件熵的特定类属性约简及其启发算法, 计算机工程与应用，2020, 56(24): 175-180.
[42] 冯树凯, 张贤勇, 冯山. 基于无限度量的一元粗糙函数及其数学分析性质. 数学的实践与认识, 2017, 47(17): 260-267.
[43] 李露, 张贤勇, 孙小义. 基于近似拓扑的近似闭包. 数学的实践与认识, 2017 (24): 265-273.
[44] 黄宜纯, 张贤勇, 杨霁琳, 莫智文. 基于相似关系的条件熵属性约简及其算法. 数学的实践与认识,2019, 49(2): 166-175.
[45] 黄宜纯, 冯树凯, 张贤勇. 基于子基的覆盖拓扑空间的序列紧致性, 数学的实践与认识, 2020, 50(4): 191-196.
[46] 左芝翠, 张贤勇, 莫智文, 冯林. 基于决策分类的分块差别矩阵及其求核算法. 山东大学学报(理学版), 2018, 53(8): 25-33.
[47] 杨涛, 张贤勇, 冯山. 基于差别矩阵的属性集求核算法. 郑州大学学报（理学版）, 2018(01): 27-32.
[48] 冯树凯, 张贤勇, 冯山. 一元粗糙函数无穷积分及其收敛性质. 郑州大学学报（理学版）, 2018, 50(02): 49-55.
[49] 廖升俊, 张贤勇, 莫智文, 唐邻玉. 基于粗糙熵的三支加权变形熵. 四川师范大学学报(自然科学版)，2020: 43(5): 700-705.
[50] 陈江，张贤勇，莫智文。双论域多粒度模糊粗糙集的双近似系统性质， 四川师范大学学报(自然科学版) ，2021， 44（5）：699-705
[51] 吴婉琳，张贤勇，莫智文。基于粗糙集不确定度的特定类属性约简，四川师范大学学报(自然科学版) ，2021，44（6）：840-846
[52] 李露, 张贤勇, 孙小义. 变精度粗糙集的近似幂集空间. 数码设计, 2016, 5(1): 6-10.