姓名：袁汉宁
所在学科：计算机科学与技术
职称：副教授
联系电话：010-68914978
E-mail：yhn6@bit.edu.cn
通信地址：北京理工大学软件楼308个人信息
2013/05-至今 北京理工大学，计算机学院，副教授
2005/12-2013/5 武汉理工大学，电子商务系，副教授
2009/8-201/8，悉尼科技大学量子计算与智能系统中心，访问学者，
1996/12-2006/12 武汉大学 本科/硕士/博士

科研方向

个人信息
2013/05-至今 北京理工大学，计算机学院，副教授
2005/12-2013/5 武汉理工大学，电子商务系，副教授
2009/8-201/8，悉尼科技大学量子计算与智能系统中心，访问学者，
1996/12-2006/12 武汉大学 本科/硕士/博士

个人信息
2013/05-至今 北京理工大学，计算机学院，副教授
2005/12-2013/5 武汉理工大学，电子商务系，副教授
2009/8-201/8，悉尼科技大学量子计算与智能系统中心，访问学者，
1996/12-2006/12 武汉大学 本科/硕士/博士

代表性学术成果
[1] Hanning Yuan, Meng Fang，Xinquan Zhu，Hierarchical Sampling for Multi-Instance Ensemble Learning, IEEE Transactions on Knowledge and Data Engineering, 2013, 25(12): 2900~2905 (SCI/Ei)
[2] Shuliang Wang, Jingting Yang, Zhengyu Chen, Hanning Yuan, Jing Geng, Zhen Hai，2020，Global and Local Tensor Factorization for Multi-Criteria Recommender System. Patterns (Cell 子刊)，1(2): 100023 (lead corresponding author)
[3] Hanning Yuan, Yanni Han, Ning Cai, Wei An, 2018, A Multi-Granularity Backbone Network Extraction Method Based on the Topology Potential. Complexity: 8604132:1-8604132:8
[4] Hanning Yuan, Shuliang Wang, Jing Geng,Yang Yu, Ming Zhong. 2017, Robust clustering with distance and density，International Journal of Data Warehousing and Mining, 13(2):63-74. (SCI/Ei )
[5] Hanning Yuan, Shuliang Wang, Ying Li, Fan Jinghua，Feature Selection with Data Field, Chinese Journal of Electronics, 2014,23(4)：61~665 (SCI/Ei)
[6] Shuliang Wang, Hanning Yuan, Baohua Cao, Dakui Wang, Facial Data Field， Chinese Journal of Electronics, 2015,24(4)：667~673 (SCI/Ei) (corresponding author)
[7] Shuliang Wang, Hanning Yuan, Spatial Data Mining: A Perspective of Big Data, International Journal of Data Warehousing and Mining, 2014,10(4)：50~70 (SCI/Ei)
[8] Shuliang Wang, Shaopeng Wang, Hanning Yuan, et al. Clustering by differencing potential of data field, Computing (2018) 100:403–419 (SCI/Ei) (corresponding author)
[9] Deren Li, Shuliang Wang, Hanning Yuan, Deyi Li, Software and Applications of Spatial Data Mining， WIREs-Data Mining & Knowledge Discovery, 2016,6(3):84-114(SCI/Ei) (corresponding author)
[10] Shuliang Wang, Yasen Chen, Hanning Yuan, A Novel Method to Extract Rocks from Mars Images, Chinese Journal of Electronics, 2015,24(3)：455~461 (SCI/Ei)
[11] ShuliangW ang, Yiping Zhao, Yue Shu, Hanning Yuan, Jing Geng, Shaopeng Wang. Fast search local extremum for maximal information coefficient (MIC). Journal of Computational & Applied Mathematics. 2018, 327(1): 372-387 (SCI/Ei ) (corresponding author)
[12] Bing Yu, Yanni Han, Hanning Yuan, Xu Zhou, Zhen Xu, 2015, A cost-effective scheme supporting adaptive service migration in cloud data center. Frontiers in Computer Science, 9(6): 875-886 (2015)
[13] Hanning Yuan, Yanni Han, Jun Hu， Research on Agile Development Methodology of Service-Oriented Personalized Software. CSSE (4) 2008: 1075-1078
[14] Hanning Yuan, Juebo Wu, Hong Jin, An Ontology Modeling for the Semantic Web based on Cloud Model. GrC 2008: 762-767
[15] Hanning Yuan, Shuliang Wang, Yang Yu, Ming Zhong, 2016, DAPPFC: Density-Based Affinity Propagation for Parameter Free Clustering. In J. Li et al. (Eds.): ADMA 2016, LNAI 10086, pp. 495–506, 2016
[16] Hanning Yuan, Jing Geng, Chuanlu Liu, Fuling Bian, Tisinee Surapunt, Geo-Spatial Knowledge and Intelligence - 5th International Conference, GSKI 2017, Chiang Mai, Thailand, December 8-10, 2017, Revised Selected Papers, Part II. Communications in Computer and Information Science 849, Springer 2018, ISBN 978-981-13-0895-6
[17] Hanning Yuan, Jing Geng, Chuanlu Liu, Fuling Bian, Tisinee Surapunt, Geo-Spatial Knowledge and Intelligence - 5th International Conference, GSKI 2017, Chiang Mai, Thailand, December 8-10, 2017, Revised Selected Papers, Part I. Communications in Computer and Information Science 848, Springer 2018, ISBN 978-981-13-0892-5
[18] 袁汉宁，王树良，金福生，耿晶，程永，2020, 数据仓库与数据挖掘（第2版），北京：机械工业出版社
[19] 袁汉宁，王树良，程永，金福生，宋红，2015, 数据仓库与数据挖掘，北京：人民邮电出版社（国家留学基金委IBM 基金资助出版，工信部“十二五”规划教材，普通高等教育软件工程“十二五”规划教材）
所获奖励
1. 2013年，湖北省科技进步一等奖，湖北省人民政府，2013.09
2. 2017年，Top Accessed Article Award in 2017, WIREs-Data Mining and Knowledge Discovery
3. 2019年，中国电子科技奖自然科学二等奖，中国电子学会