钱宇华，博士，教授、博士生导师，山西大学科学技术处处长，山西大学大数据科学与产业研究院负责人，计算智能与中文信息处理教育部重点实验室副主任。从事人工智能、大数据、数据挖掘与机器学习等方面的研究。国家高层次人才，全球高被引科学家，国家优秀青年基金获得者，三晋学者，山西省中青年拔尖创新人才，教育部新世纪人才，山西省学术技术带头人，省委联系的高级专家，山西省青年学术带头人。中国人工智能学会理事，中国人工智能学会粒计算与知识发现专业委员会副主任。
近年来，主持和参与国家重点研发计划、国家自然科学基金优秀青年基金、国家自然科学基金重点项目、教育部新世纪人才计划项目、教育部社科类重点项目等国家级项目20余项。围绕粒计算、机器学习、进化智能、关联学习、复杂网络分析等领域中的共性基础问题开展系统研究，先后在《Artificial Intelligence》、《IEEE Transactions on Pattern Analysis and Machine Intelligence 》、《Journal of Machine Learning Research》、《Machine Learning》ACM Transactions on Information Systems》、《ACM Transactions on Knowledge Discovery from Data》、《International Journal of Approximate Reasoning》、《IEEE Transactions on Neural Networks and Learning Systems》、《IEEE Transactions on Knowledge and Data Engineering》、《IEEE Transactions on Fuzzy Systems》、《IEEE Transactions on Systems, Man and Cybernetics》、《Pattern Recognition》、《中国科学》等国际重要期刊发表SCI论文100余篇，获发明专利4项。系列成果被国内外相关学者广泛应用于遥感图像分析、医疗诊断数据分析、生物数据挖掘、社会网络分析、国防科技服务等领域
曾获得山西省科学技术奖（自然科学类）一等奖，教育部宝钢教育基金特等奖，CCF 优秀博士论文奖，山西省“五四青年奖章”，全国百篇优秀博士论文提名奖。
[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.
[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).
