[1] Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, Qingfu Zhang. Evolutionary Deep Fusion Method and Its Application in Chemical Structure Recognition. IEEE Transactions on Evolutionary Computation, 2021, 25(5): 883-893.

[2] Gaoxia Jiang, Wenjian Wang, Yuhua Qian, Jiye Liang. A unified sample selection framework for output noise filtering: an error-bound perspective. Journal of Machine Learning Research, 2021, 22, 1-66.

[3] Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang. Logic could be learned from images. International Journal of Machine Learning and Cybernetics, 2021, 12, 3397-3414.

[4] Guoshuai Ma, Hongren Yan, Yuhua Qian, Lingfeng Wang, Chuangyin Dang, Zhongying Zhao. Path-based estimation for link prediction. International Journal of Machine Learning and Cybernetics, 2021, 12, 2443-2458.

[5] Jue Li, Feng Cao, Honghong Cheng, Yuhua Qian. Learning the Number of Filters in Convolutional Neural Networks. International Journal of Bio-Inspired Computation, 2021, 17(2): 75-84.

[6] Jing Pan, Yuhua Qian, Feijiang Li, Qian Guo. Image deep clustering based on local-topology embedding. Pattern Recognition Letters, 2021, 151, 88-94.

[7] Yali Lv, Junzhong Miao, Jiye Liang, Ling Chen, Yuhua Qian. BIC-based node order learning for improving Bayesian network structure learning. Frontiers of Computer Science, 2021, 15(6): 156337.

[8] Zehua Jiang, Keyu Liu, Jingjing Song, Xibei Yang, Jinhai Li, Yuhua Qian. Accelerator for crosswise computing reduct. Applied Soft Computing Journal, 2021, 98: 106740.

[9] Chao Zhang, Huaxiong Li, Yuhua Qian, Chunlin Chen, Yang Gao. Pairwise relations oriented discriminative regression. IEEE Transactions on Circuits and Systems for Video Technology, 2021, 31(7): 2646-2660.

[10] Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu. Feature selection using fuzzy neighborhood entropy-based uncertainty measures for fuzzy neighborhood multigranulation rough sets. IEEE Transactions on Fuzzy Systems, 2021, 29(1): 19-33.

[11] Jieting Wang, Yuhua Qian, Feijiang Li. Learning with mitigating random consistency from the accuracy measure. Machine Learning, 2020, 109, 2247-2281.

[12] Hong Tao, Chenping Hou, Yuhua Qian, Jubo Zhu, Dongyun Yi. Latent complete row sapce recovery for multi-view subspace clustering. IEEE Transactions on Image Processing, 2020, 29, 8083-8096.

[13] Honghong Cheng, Yuhua Qian, Zhiguo Hu, Jiye Liang. Association mining method based on neighborhood. 中国科学: 信息科学, 2020, 50(6), 824-844.

[14] Peng Zhou, Liang Du, Xuejun Li, Yidong Shen, Yuhua Qian. Unsupervised Feature Selection with Adaptive Multiple Graph Learning. Pattern Recognition, 2020, 105, 107375.

[15] Tian Yang, Xiaru Zhong, Guangming Lang, Yuhua Qian, Jianhua Dai. Granular matrix: a new approach for granular structure reduction and redundancy evaluation. IEEE Transactions on Fuzzy Systems, 2020, 28(12), 3133-3144.

[16] Kun Sun, Wenbing Tao, Yuhua Qian. Guide to match: multi-layer feature matching with a hybrid gaussian mixture model. IEEE Transactions on Multimedia, 2020, 22(9), 2246-2261.

[17] Feijiang Li, Yuhua Qian, jieting Wang, Jiye Liang, Wenjian Wang. Clustering method based on sample's stability. 中国科学: 信息科学, 2020, 50(8), 1239-1254.

[18] Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Weiping Ding. Fusing fuzzy monotonic decision trees. IEEE Transactions on Fuzzy Systems, 2020, 28(5), 887-900.

[19] Changzhong Wang, Yan Wang, Mingwen Shao, Yuhua Qian, Degang Chen. Fuzzy rough attribute reduction for categorical data. IEEE Transactions on Fuzzy Systems, 2020, 28(5), 818-830.

[20] Tao Yan, Zhiguo Hu, Yuhua Qian, Zhiwei Qiao, Linyuan Zhang. 3D shape reconstruction from multifocus image fusion using a multidirectional modified Laplacian operator. Pattern Recognition, 2020, 98, 107065.

[21] Huafeng Liu, Liping Jing, Yuhua Qian, Jian Yu. Adaptive Local Low-rank Matrix Approximation for Recommendation. ACM Transactions on Information Systems, 2019, 37(4), 45.

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

[23] 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.

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

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

[26] 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.

[27] 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.

[28] 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.

[29] 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.

[30] 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.

[31] 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.

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

[33] 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.

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

[35] 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.

[36] 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.

[37] 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.

[38] 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.

[39] 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.

[40] 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.

[41] 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.

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

[43] Yuhua Qian, Yebin Li, Min Zhang, Guoshuai Ma, Furong Lu. Quantifying edge significance on maintaining global connectivity. Scientific Reports, 2017, DOI: 10, 1038/srep45380.

[44] 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.

[45] 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.

[46] 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.

[47] 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.

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

[49] 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.

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

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

[52] 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.

[53] 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.

[54] 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.

[55] 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).

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

[57] 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.

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

[59] 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.

[60] 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.

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

[62] 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.

[63] 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.

[64] 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.

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

[66] 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.

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

[68] 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.

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

[70] 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.

[71] 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.

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

[73] 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.

[74] 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).

[75] 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.

[76] 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.

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

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

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

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

[81] 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.

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

[83] 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.

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

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

[86] 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.

[87] 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.

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

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

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

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

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

[93] 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.

[94] 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.

[95] 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.

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

[97] 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.

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

[99] 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.

[100] 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.

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

[102] 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.

[103] 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.

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

[105] 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.

[106] 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.

[107] 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.

[108] 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.

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

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

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

[112] 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.

[113] 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.

[114] 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.

[115] 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. 国家自然科学基金重点项目(62136005): 随机一致性视角下的可解释机器学习理论与模型. 2022/01-2026/12, (主持人).

2. 国家高层次人才支持计划: 2020/01-2022/12. (主持人).

3. 山西省重点研发计划项目(国际科技合作方面)(201903D421003): 中-新大数据安全国际联合实验室平台建设. 2019/07-2022/12, (主持人).

4. 国家重点研发计划子课题(2018YFB1004304): 自动深层化知识处理方法与技术. 2018/05-2021/04, (主持人).

5. 国家自然科学优秀青年基金(61322211): 智能信息处理. 2014/01-2016/12, (主持人).

6. 三晋学者(特聘教授): 计算机科学与技术. 2017/01-2021/12, (主持人).

7. 国家自然科学基金面上项目(61672332): 面向多模态数据的多粒度计算理论与方法. 2017/01-2020/12, (主持人).

8. 山西省教育厅高等学校中青年拔尖创新人才支持计划(02150116072021): 大数据关联关系挖掘的理论与方法. 2017/01-2019/12, (主持人).

9. 教育部新世纪人才支持计划. 215024901026, 基于认知机理的多模态海量数据知识发现, 2013/01-2015/12, (主持人).