[1] Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Liping Jing, Clustering ensemble based on sample's stability, Artificial Intelligence, 2019, 273, 37-55.

[2] Anhui Tan, Weizhi Wu, Yuhua Qian, Jiye Liang, Jinkun Chen, Jinjin Li, Intuitionistic fuzzy rough set-based granular structures and attribute subset selection, IEEE Transactions on Fuzzy Systems, 2019, 27(3), 527-539.

[3] Honghong Cheng, Yuhua Qian, Diversity-induced fuzzy clustering, International Journal of Approximate Reasoning, 2019, 106，89-106.

[4] Yan Chen, Qian Guo, Xinyan Liang, Jiang Wang, Yuhua Qian, Environmental sound classification with dilated convolutions, Applied Acoustics, 2019, 148, 123-132.

[5] Xibei Yang, Shaochen Liang, Hualong Yu, Shang Gao, Yuhua Qian, Pseudo-label neighborhood rough set: measures and attribute reductions, International Journal of Approximate Reasoning, 2019, 105, 112-129.

[6] Lin Sun, Xiaoyu Zhang, Yuhua Qian, et al., Joint neighborhood entropy-based gene selection method with fisher score for tumor classification, Applied Intelligence, 2019, In Press.

[7] Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Bing Liu, Cluster's quality evaluation and selective clustering ensemble, ACM Transactions on Knowledge Discovery from Data, 2018, 12(5), 60.

[8] Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang, Xingwang Zhao, Yinfeng Meng, Kai Feng, Yuhua Qian, An algorithm for clustering categorical data with set-valued features, IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(10), 4593-4606.

[9] Jianhua Dai, Hu Hu, Weizhi Wu, Yuhua Qian, Debiao Huang, Maximal discernibility paris based approach to attribute reduction in fuzzy rough sets, IEEE Transactions on Fuzzy Systems, 2018, 26(4), 2174-2187.

[10] Zhongying Zhao, Wenqiang Liu, Yuhua Qian, Liqiang Nie, Yilong Yin, Yong Zhang, Identifying advisor-advisee relationships from co-author networks via a novel deep model, Information Sciences, 2018, 466, 258-269.

[11] Xiaoying Guo, Yuhua Qian, Liang Li, Akira Asano, Assessment model for perceived visual complexity of painting images, Knowledge-Based Systems, 2018, 159, 110-119.

[12] 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.

[13] Qi Wang, Yuhua Qian, Xinyan Liang, Qian Guo, Jiye Liang, Local neighborhood rough set, Knowledge-Based Systems, 2018, 153, 53-64.

[14] Yanhong She, Xiaoli He, Yuhua Qian, Weihua Xu, Jinhai Li, A quantitative approach to reasoning about incomplete knowledge, Information Sciences, 2018, 451-452, 100-111.

[15] Shujiao Liao, Qingxin Zhu, Yuhua Qian, Guoping Lin, Multi-granularity feature selection on cost-sensitive data with measurement errors and variable costs, Knowledge-Based Systems, 2018, 158, 25-42.

[16] Changzhong Wang, Xizhao Wang, Degang Chen, Qinghua Hu, Yuhua Qian. Feature selection based on neighborhood discrimination index, IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(7), 2986 - 2999.

[17] Yuhua Qian, Xinyan Liang, Qi Wang, et al. Local rough set: a solution to rough data analysis in big data, International Journal of Approximate Reasoning, 2018, 97，38-63.

[18] Zhiwei Qiao, Gage Relder, Zhiguo Gui, Yuhua Qian, Boris Epel, Howard Halpern, Three novel accurate pixel-dreven projection methods for 2D CT and 3D EPR imaging, Journal of X-Ray Science and Technology, 2018, 26(1), 83-102

[19] Furong Peng, Xuan Lu, Chao Ma, Yuhua Qian, et al., Multi-level preference regression for cold-start recommendations, International Journal of Machine Learning and Cybernetics, 2017, In Press.

[20] Jie Wang, Wenping Zheng, Yuhua Qian, Jiye Liang, A seed expansion graph clustering method for protein complexes detection in protein interaction networks, Molecules, 2017, 22, 2179, 1-19.

[21] Hang Xu, Wenjian Wang, Yuhua Qian, Fusing complete monotonic decision trees, IEEE Transactions on Knowledge and Data Engineering, 2017, 29(10), 2223 - 2235

[22] Yuhua Qian, Yebin Li, Min Zhang, Guoshuai Ma, Furong Lu, Quantifying edge significance on maintaining global connectivity, Scientific Reports, 2017, DOI: 10.1038/srep45380

[23] Xiaoqiang Guan, Jiye Liang, Yuhua Qian, Jifang Pang, A multi-view OVA model based on decision tree for multi-classification tasks, Knowledge-Based Systems, 2017, 138, 208-219.

[24] Bingzhen Sun, Weimin Ma, Yuhua Qian, Multigranulation fuzzy rough set over two universes and its application to decision making, Knowledge-Based Systems, 2017, 123, 61-74

[25] Yanhong She, Xiaoli He, Huixian Shi, Yuhua Qian, A multiple-valued logic approach for multigranulation rough set model, International Journal of Approximate Reasoning, 2017, 82, 270-284

[26] Yuhua Qian, Xinyan Liang, Guoping Lin, Qian Guo, Jiye Liang, Local multigranulation decision-theoretic rough sets, International Journal of Approximate Reasoning, 2017, 82, 119-137.

[27] Yuhua Qian, Honghong Cheng, Jieting Wang, Jiye Liang, et al., Grouping granular structures in human granulation intelligence, Information Sciences, 2017, 382-382, 150-169.

[28] Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang. Multigranulation information fusion: a Dempster-Shafer evidence theory-based clustering ensemble method. Information Sciences, 2017, 378, 309-409

[29] Jinhai Li, Chenchen Huang, Jianjun Qi, Yuhua Qian, Wenqi Liu, Three-way concept learning via multi-granularity, Information Sciences, 2017, 378, 244-263.

[30] Weizhi Wu, Yuhua Qian, Tongjun Li, Shenming Gu, On rule acquisition in incomplete multi-scale decision tables, Information Sciences, 2017, 378, 282-302.

[31] Yuhua Qian, Feijiang Li, Jiye Liang, Bing Liu, Chuangyin Dang. Space structure and clustering of categorical data. IEEE Transactions on Neural Networks and Learning Systems 2016, 27(10): 2047-2059.

[32] Zhiqiang Wang, Jiye Liang, Ru Li, Yuhua Qian, An approach to cold-start link prediction: establishing connections between non-topological and topological information, IEEE Transactions on Knowledge and Data Engineering, 2016, 28(11), 2857-2870.

[33] Changzhong Wang, Mingwen Shao, Qiang He, Yuhua Qian, Yali Qi, Feature subset selection based on fuzzy neighborhood rough sets, Knowledge-Based Systems, 2016, 111(1): 173-179.

[34] Changzhong Wang, Yali Qi, Mingwen Shao, Qinghua Hu, Degang Chen, Yuhua Qian, Yaojin Lin. A fitting model for feature selection with fuzzy rough sets, IEEE Transactions on Fuzzy Systems, 2016 (In Press)

[35] Yinfeng Meng, Jiye Liang, Yuhua Qian, Comparison study of orthonormal representations of functional data in classification, Knowledge-Based Systems, 2016, 97, 224-236.

[36] Guoping Lin, Jiye Liang, Yuhua Qian, Jinjin Li. A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems, Knowledge-Based Systems, 2016, 91: 102-113

[37] Yanli Sang, Jiye Liang, Yuhua Qian, Decision-theoretic rough sets under dynamic granulation, Knowledge-Based Systems, 2016, 91: 84-92.

[38] Jinhai Li, Yue Ren, Changlin Mei, Yuhua Qian, Xibei Yang, A comparative study of multigranulation rough sets and concept lattices via rule acquisition, Knowledge-Based Systems, 2016, 91, 152-164.

[39] Yuhua Qian, Hang Xu, Jiye Liang, Bing Liu, Jieting Wang, Fusing monotonic decision trees, IEEE Transactions on Knowledge and Data Engineering, 2015, 27(10), 2717-2728.

[40] Yuhua Qian, Yebin Li, Jiye Liang, Guoping Lin, Chuangyin Dang, Fuzzy granular structure distance, IEEE Transactions on Fuzzy Systems 2015, 23(6), 2245-2259.

[41] Jiye Liang, Yuhua Qian, Deyu Li, Qinghua Hu, Theory and method of granular computing for big data discovery, Science in China-Series E: Information Sciences (中国科学）, 2015, 45(11):1355-1369.

[42] Zhiwei Qiao, Gage Redler, Boris Epel, Yuhua Qian, Howard Halpern. 3D pulse EPR imaging from sparse-view projections via constrained, total variation minimization. Journal of Magnetic Resonance, 2015, 258， 49-57.

[43] Zhiwei Qiao, Gage Redler, Boris Epel, Yuhua Qian, Howard Halpern. Implementation of GPU-Accelerated Back Projection for EPR imaging. Journal of X Ray Science and Technology, 2015, In Press

[44] Guoping Lin, Jiye Liang, Yuhua Qian, An information fusion approach by combining multigranulation rough sets and evidence theory, Information Sciences, 2015, 314, 184-199.

[45] Baoli Wang, Jiye Liang, Yuhua Qian, Chuangyin Dang, A normalized numerical scaling method for the unbalanced multi-granular linguistic sets, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2015, 23(2), 221-243.

[46] Jinhai Li, Changlin Mei, Weihua Xu, Yuhua Qian, Concept learning via granular computing-a cognitive viewpoint, Information Sciences, 2015, 298, 447-467.

[47] Guoping Lin, Jiye Liang, Yuhua Qian, Uncertainty measures for multigranulation approximation space, International Journal of Uncertianty, Fuzziness and Knowledge-Based Systems, 2015, 23(3), 443-457.

[48] Yuhua Qian, Qi Wang, Honghong Cheng, Jiye Liang, Chuangyin Dang. Fuzzy-rough feature selection accelerator, Fuzzy Sets and Systems, 2015, 258, 61-78.

[49] Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu, Jiye Liang. Set-Based Granular Computing: a Lattice Model. International Journal of Approximate Reasoning, 2014, 55, 834-852.

[50] Yali Lv, Shizhong Liao, Hongbo Shi, Yuhua Qian, Suqin Ji. QMIQPN: An enhanced QPN based on qualitative mutual information for reducing ambiguity, Knowledge-Based Systems, 2014, 71, 114-125.

[51] Baoli Wang, Jiye Liang, Yuhua Qian. Preorder information based atribute weights learning in mulitattribute decision making. Fundamenta Informaticae, 2014, 132, 331-347.

[52] Jiye Liang, Feng Wang, Chuangyin Dang, Yuhua Qian. Incremental approach to feature selection based on rough set theory. IEEE Transactions on Knowledge and Data Engineering, 2014, 26(2) 294-308.

[53] Baoli Wang, Jiye Liang, Yuhua Qian. Determining decision maker's weights in group ranking: a granular computing method. International Journal of Machine Learning and Cybernetics, 2014, (In Press).

[54] Yuhua Qian, Shunyong Li, Jiye Liang, Zhongzhi Shi, Feng Wang. Pessimistic rough set based decisions: a multigranulation fusion strategy, Information Sciences, 2014, 264, 196-210.

[55] Xin Liu, Yuhua Qian, Jiye Liang. A rule-extraction framework under multigranulation rough sets. International Journal of Machine Learning and Cybernetics, 2014, 5: 319-326.

[56] Guoping Lin, Jiye Liang, Yuhua Qian, Topological approach to multigranulation rough sets. International Journal of Machine Learning and Cybernetics, 2014, 5: 233-243.

[57] Yuhua Qian, Hu Zhang, Yanli Sang, Jiye Liang. Multigranulation decision-theoretic rough sets, International Journal of Approximate Reasoning, 2014, 55, 225-237.

[58] Guoping Lin, Jiye Liang, Yuhua Qian. Multigranulation rough sets: from partition to covering, Information Sciences, 241 (2013) 101-118.

[59] Xibei Yang, Yuhua Qian, Jingyu Yang, On characterizing hierarchies of granulation structures, Fundamenta Informaticae, 123 (2013) 365-380.

[60] 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.

[61] Feng Wang, Jiye Liang, Yuhua Qian. Attribute reduction: A dimension incremental strategy, Knowledge-Based Systems, 2013,39:95-108.

[62] Wei Wei, Jiye Liang, Yuhua Qian, Chuangyin Dang, Can fuzzy entropies be effective measure for evaluating the roughness of a rough set? Information Sciences, 2013, 232: 143-166.

[63] Xibei Yang, Yuhua Qian, Jingyu Yang. Hierarchical structures on multigranulation spaces. Journal of Computer Science and Technology, 2012, 27(6): 1169-1183.

[64] Guoping Lin, Yuhua Qian, Jinjin Li. NMGRS: Neighborhood-based multigranulation rough sets. International Journal of Approximate Reasoning, 2012, 53: 1080-1093.

[65] 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.

[66] Jiye Liang, Feng Wang, Chuangyin Dang, Yuhua Qian. An efficient rough feature selection algorithm with a multi-granulation view. International Journal of Approximate Reasoning, 2012, 53, 912-926.

[67] Yuhua Qian, Jiye Liang, Weiwei. Consistency-preserving attribute reduction in fuzzy rough set framework. International Journal of Maching Learning and Cybernetics, 2012, 45-53.

[68] Yuhua Qian, Jiye Liang, Weizhi Wu, Chuangyin Dang. Partial orderings of information granulations-a further investigation. Expert Systems, 2012, 29(1), 3-24.

[69] Jiye Liang, Ru Li, Yuhua Qian. Distance-a more comprehensive perspective for measures in rough set theory. Knowledge-Based Systems, 2012, 27, 126-136.

[70] Wei Wei, Jiye Liang, Yuhua Qian. A comparative study of rough sets for hybrid data. Information Sciences, 2012, 190(1), 1-16.

[71] Peng Song, Jiye Liang, Yuhua Qian. A two-grade approach to ranking interval data. Knowledge-Based Systems, 2012, 27, 234-244.

[72] Yuhua Qian, Jiye Liang, Weizhi Wu, Chuangyin Dang. Information granularity in fuzzy binary GrC model. IEEE Transactions on Fuzzy Systems, 2011, 19(2), 253-264.

[73] Yuhua Qian, Jiye Liang, Witold Pedrycz, Chuangyin Dang. An efficient accelerator for attribute reduction from incomplete data in rough set framework. Pattern Recognition, 2011, 44, 1658-1670.

[74] Yuhua Qian, Jiye Liang, Feng Wang. 面向非完备决策表的正向近似特征选择加速算法. 计算机学报，2011, 34(3), 435-442.

[75] Fan Min, Huaping He, Yuhua Qian, William Zhu, Test-cost-sensitive attribute reduction, Information Sciences, 2011, 181, 4928-4942.

[76] Yuhua Qian, Jiye Liang, Peng Song, Chuangyin Dang. On dominance relations in disjunctive set-valued ordered information systems. International Journal of Information Technology & Decision Making, 2010, 9(1), 9-33.

[77] Yuhua Qian, Jiye Liang, Yiyu Yao, Chuangyin Dang. MGRS: a multigranulation rough set. Information Sciences, 2010, 180, 949-970.

[78] Yuhua Qian, Jiye Liang, Witold Pedrycz, Chuangyin Dang. Positive approximation: an accelerator for attribute reduction in rough set theory. Artificial Intelligence, 2010, 174, 597-618.

[79] 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.

[80] Yuhua Qian, Jiye Liang, Chuangyin Dang. Incomplete multigranulation rough set. IEEE Transactions on Systems, Man and Cybernetics-Part A, 2010, 40(2), 420-431.

[81] Yuhua Qian, Jiye Liang, Deyu Li, Feng Wang, Nannan Ma. Approximation reduction in inconsistent incomplete decision tables. Knowledge-Based Systems, 2010, 23(5), 427-433.

[82] Yuhua Qian, Jiye Liang, Chuangyin Dang. Knowledge structure, knowledge granulation and knowledge distance in a knowledge base. International Journal of Approximate Reasoning, 2009, 50(1), 174-188.

[83] Yuhua Qian, Jiye Liang, Chuangyin Dang, Dawei Tang. Set-valued ordered information systems, Information Sciences, 2009, 179, 2809-2832.

[84] Yuhua Qian, Jiye Liang, Feng Wang. A new method for measuring the uncertainty in incomplete information systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2009, 17(6), 855-880.

[85] Jiye Liang, Junhong Wang, Yuhua Qian. A new measure of uncertainty based on based on knowledge granulation for rough sets. Information Sciences, 2009, 179, 458-470.

[86] 梁吉业，钱宇华. 信息系统中的信息粒与熵理论. 中国科学E辑：信息科学， 2008, 38(12), 2048-2065.

[87] Yuhua Qian, Jiye Liang, Chuangyin Dang, Haiyun Zhang, Jianmin Ma. On the evaluation of the decision performance of an incomplete decision table. Data & Knowledge Engineering, 2008, 65(3), 373-400.

[88] Yuhua Qian, Jiye Liang, Chuangyin Dang. Consistency measure, inclusion degree and fuzzy measure in decision tables. Fuzzy Sets and Systems, 2008, 159, 2353-2377.

[89] Jiye Liang, Yuhua Qian. Information granules and entropy theory in information systems. Science in China, Series F: Information Sciences, 2008, 51(10), 1427-1444.

[90] Yuhua Qian, Jiye Liang, Chuangyin Dang. Interval ordered information systems, Computers & Mathematics with Applications, 2008, 56, 1994-2009.

[91] Yuhua Qian, Jiye Liang. Combination entropy & combination granulation in rough set theory. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2008, 16(2), 179-193.

[92] Yuhua Qian, Jiye Liang, Chuangyin Dang. Converse approximation and rule extraction from decision tables in rough set theory, Computers & Mathematics with Applications, 2008, 55, 1754-1765.

[93] Junhong Wang, Jiye Liang, Yuhua Qian, Chuangyin Dang. uncertainty measure of rough sets based on a knowledge granulation for incomplete information systems, 2008, 16(2), 233-244.

[94] Yuhua Qian, Jiye Liang, Deyu Li, Haiyun Zhang, Chuangyin Dang. Measures for evaluating the decision performance of a decision table in rough set theory. Information Sciences, 2008, 178(1), 181-202.

1. 国家优秀青年科学基金（61322211）：智能信息处理，2014.01-2016.12, (主持人);

2. 高等学校博士学科点专项基金（博导类），基于多粒度认知的复杂数据知识发现方法研究，2012.1-2015.12, (主持人);

3. 新世纪优秀人才支持计划项目，2013.1-2015.12, (主持人);

4. 国家自然科学基金项目(No. 60903110): 多粒度空间的通讯、转换及其问题求解机制研究, 2010.01－2012.12, (主持人);

5. 山西省回国留学人员科研项目(No. 201008): 信息系统中知识获取的粒度分析理论与方法研究, 2010.01-2012.12, (主持人);

6. 山西省青年科学基金(No. 200801080006): 决策信息系统中的粒度分析理论与算法研究, 2009.01-2011.12, (主持人);