个人简介
招生专业
070105-运筹学与控制论
教育背景
2003-03--2008-10 上海交通大学 博士
1999-09--2002-06 山东科技大学 硕士
1992-09--1996-07 山东科技大学 学士
工作经历
2018.12-至今 中国科学院大学 教授
2013-06--2018.11 中国科学院大学 副教授
2010-09--2012-06 中国科学院大学 博士后
1996-07--2012-04 山东科技大学 副教授
教授课程
机器学习中的 优化模型和算法
智能优化方法
生物数学
生物统计与实验设计
Matlab在科学计算中的应用
数值计算方法
奖励信息
（1） Optimization Models and Algorithms for Fingerprint Recognition and Its Application in AFIS of China, 二等奖, 其他, 2017
（2） 《指纹自动识别系统》中国运筹学会科学技术奖运筹应用奖, 一等奖, 省级, 2016
科研项目
（ 1 ） 大规模非负矩阵分解的优化模型和并行算法研究及应用, 主持, 国家级, 2012-01--2014-12
（ 2 ） 基于移动通信网络数据的城市交通出行群体行为研究, 参与, 国家级, 2013-01--2016-12
（ 3 ） 图像特征自动发现和提取及图像复原中的优化模型及算法研究, 主持, 国家级, 2016-01--2019-12
（ 4 ） 基于指纹大库的大数据挖掘算法, 主持, 院级, 2015-03--2020-03
（ 5 ） 数据与模型混合驱动的数据逐级再表达优化理论与方法, 参与, 国家级, 2018-01--2020-12
（ 6 ） 复杂环境下样本生成与目标识别的方法及其应用, 主持, 国家级, 2020-01--2023-12
（ 7 ） 基于领域知识的多智能体决策算法研究, 主持, 院级, 2019-12--2020-06
近期论文
查看导师最新文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
2020年度
1.Min Wu, Congying Han*, Tiande Guo, et al. Registration and matching method for directed point set with orientation attributes and local information, Computer Vision and Image Understanding, 191(2020)102866
2.Baicun Zhou, Congying Han*, Yonghong Liu Tiande Guo et al. Fast Minutiae Extractor Using Neural Network. Pattern Recognition. Pattern Recognition, 103 (2020) 107273
2019年度
1.专著：组合优化机器学习方法.郭田德 韩丛英 唐思琦. 科学出版社 北京 2019年11月，第一版。
2.郭田德, 韩丛英*, 李明强. 逐层数据再表达的前后端融合学习的理论及其模型和算法, 中国科学: 信息科学 49(6), 739-759 (2019).
3.Yonghong Liu, Baicun Zhou, Congying Han*, Tiande Guo & Jin Qin. A novel method based on deep learning for aligned fingerprints matching, Applied Intelligence. DOI 10.1007/s10489-019-01530-4. 2019.
4.郭田德, 韩丛英*. 从数值最优化方法到学习最优化方法. 运筹学学报, 23（4）:1-12(2019).
5.Tiande Guo, Congying Han*, Siqi Tang, and Man D. Solving Combinatorial Problems with Machine Learning Methods, 207-229. © Springer Nature Switzerland AG 2019 D.-Z. Du et al. (eds.), Nonlinear Combinatorial Optimization, Springer Optimization and Its Applications 147, https://doi.org/10.1007/978-3-030-16194-1_9 丛书的一章
6.Li Sun,Congying Han, and Ziwen Liu. Active Set Type Algorithms for Nonnegative Matrix Factorization in Hyperspectral Unmixing, Mathematical Problems in Engineering, Volume 2019, Article ID 9609302, 10 pages. https://doi.org/10.1155/2019/9609302 online.
7.Li Sun, Kang Zhao, Congying Han, Ziwen Liu. Enhancing Hyperspectral Unmixing with Two-stage Multiplicative Update Nonnegative Matrix Factorization，IEEE Access, Manuscript DOI: 10.1109/ACCESS.2019.2955984，7(1): 171023-171031,2019
2018年度
李明强, 韩丛英*, 郭田德. 新的梯度算法求解单位球笛卡尔积约束优化问题，应用数学学报，2018 Vol. 41 (1): 43-54. 2018年1月。
Li Mingqiang Guo Tiande and Han Congying*. New project gradient method for quadratic programming with linear equality constraints. Journal of University of Chinese Academy of Sciences(中国科学院大学学报)，Vol 35, No. 3,2018年5月，289-296.
Yonghong Liu , Baicun Zhou , Congying Han *, Tiande Guo and Jin Qin ，A Method for Singular Points Detection Based on Faster-RCNN. Applied Sciences, 1-11. Online. Appl. Sci. 2018, 8, 1853; doi:10.3390/app8101853
2017年度
郭田德，韩丛英*，赵彤，阿勇，吴敏，白超超，唐思琦. 大库容量指纹自动识别系统中的优化模型与算法，运筹学学报，2017年12月，21（4）：19-33，DOI: 10.15960/j.cnki.issn.1007-6093.2017.04.001,ISSN: 1007-6093Mingqiang Li ， Congying Han*， Ruxin Wang，Tiande Guo. Shrinking gradient descent algorithms for totalvariation regularized image denoising. Comput Optim Appl (2017) 68（3）:643–660 ,2017年7月，DOI 10.1007/s10589-017-9931-8.ISSN: 0926-6003
Siqi Tang, Jin Qin, Yan Liu, Congying Han*， Tiande Guo. An Efficient Slap Fingerprint SegmentationAlgorithm Based on Convnets and Knuckle Line. J. Zhou et al. (Eds.): CCBR （Chinese Conference on Biometric Recognition）2017, LNCS 10568, pp. 231–239, 2017.https://doi.org/10.1007/978-3-319-69923-3_25, 会议2017.10.28-29，深圳，中国，Springer International Publishing AG 2017 .
Jin Qin, Congying Han*, Chaochao Bai, Tiande Guo. Multi-Scaling Detection of Singular PointsBased on Fully Convolutional Networks inFingerprint Images. J. Zhou et al. (Eds.): CCBR （Chinese Conference on Biometric Recognition）2017, LNCS 10568, pp. 221–230, 2017.https://doi.org/10.1007/978-3-319-69923-3_24, 会议2017.10.28-29，深圳，中国，Springer International Publishing AG 2017 .
Jin Qin, Siqi Tang, Congying Han*, Tiande Guo. Partial Fingerprint Identification Algorithm Based-on the Modified Generalized Hough Transform on Mobile Device. Ninth InternationaI Conference on Graphic and Image Processing(ICGIP)，2017，10615Z1-10615Z-10. Jin Qin, Siqi Tang, Congying Han*, and Tiande Guo. Partial Fingerprint Matching via Phase-only Correlation and Deep Convolutional Neural Network. ICONIP Springer International Publishing AG 2017.D. Liu et al. (Eds.): ICONIP 2017(The 24th International Conference On Neural Information Processing), Part VI, LNCS 10639, pp. 602–611, 2017.https://doi.org/10.1007/978-3-319-70136-3_64，广州，11月14-18.
2016年度
LIU Xiao, GUO Tiande, HAN Congying*, LI mingqiang. Super resolution reconstruction of single image with denoising and upscaleing, Journal of University of Chinese Academy of Sciences. 33(5):596-603, 2016
Ruxin Wang, Congying Han*, Tiande Guo. A Novel Fingerprint Classification Method Based on Deep Learning, 2016 23rd International Conference on Pattern Recognition (ICPR), Cancún Center, Cancún, México, December 4-8, 2016, 931-936
Ruxin Wang, Congying Han*, Mingqiang Li, Tiande Guo. Single Image Super-Resolution Reconstruction Based on Edge-Preserving with External and Internal Gradient Prior Knowledge, ACCV (Asian Conference on Computer Vision) 2016 Workshops , Part I, LNCS 10116, 191-205,2017. DOI: 10.1007/978-3-319-54407-6_13. Nov 21, 2016 - Nov 23, 2016, Taipei, Taiwan
2015年度
Xiao Liu, Congying Han*, Tiande Guo，A Robust Point Sets Matching Method，Advances in Swarm and Computational Intelligence.Vol. 9142, Lecture Notes in Computer Science, pp 383-390
2014年度
1. Hongwei REN , Congying HAN（通讯作者），Tiande Guo, Wei PEI , Energy Losses and Voltage Stability Study in Distribution Network with Distributed Generation, Journal of Applied Mathematics, Vol. 2014, ID 939482, pp.1-7,2014. Http://dx.doi.org/10.1155/2014/939482. Hindawi Publishing Corporation.(SCI)
2. Cong-ying HAN, Fang-ying ZHENG, Tian-de GUO, Guo-ping HE, Parallel Algorithms for Large-scale Linearly Constrained Minimization Problem. Acta Mathematicae Applicatae Sinica, English Series. Vol. 30, No.3 (2014), 1-14. DOI: 10.1007/s10255-013-0300-9.(SCI)
2013年度
1. Congying Han,Mingqiang Li, Tong Zhao, and Tiande Guo. An Accelerated Proximal Gradient Algorithm for Singly Linearly Constrained Quadratic Programs with Box Constraints,The Scientific World Journal ,Volume 2013 (2013), Article ID 246596, pp.1-6，http://dx.doi.org/10.1155/2013/246596，ISSN: 1537-744X, Research Article. (SCI)
2. R. Kong, C. Han, T. Guo and W. Pei, "An Energy-Based Centrality for Electrical Networks," Energy and Power Engineering, ISSN：1949-243X, eIssN:1947-3818, Vol. 5 No. 4B, 2013, pp. 597-602. doi: 10.4236/epe.2013.54B115.
3. 任洪伟，韩丛英，裴玮，郭田德. "基于多目标优化模型的分布式电源选址方案研究",电力系统保护与控制，Vol. 41，No. 24, 2013年12月16日,64-69.
4. 王永丽,韩丛英(通讯作者),李田,李明强. 求解不等式约束优化问题严格互补松弛条件的QP-Free新算法, 应用数学学报, 36(1), 1-13, 2013.
5. Congying Han,Tingting Feng, Guoping He, and Tiande Guo. Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique, Journal of Applied athematics,Vol. (2013), Article ID 295147, 1-7.(SCI)
6. 张学成, 韩丛英, 赵彤, 杨海珍. 基于秩和模型的大型科学仪器利用评价研究， 2013 34 (4): 108-114. 科研管理 ISSN 1000-2995.
7. Congying Han, Guangqi Shao, Yang Hao, Yong A, Tiande Guo. Non-negative Matrix Factorization Based On Locally Linear Embedding, 2013 ISORA 978-1-84919-713-7 , IET,138-141.
8.Yang Hao, Congying Han(通讯作者), Guangqi Shao, and Tiande Guo. Generalized Graph Regularized Non-negative Matrix Factorization for Data Representation, Proceedings of the 2012 International Conference on Information Technology and Software Engineering, Lecture Notes in Electrical Engineering Vol. 210, 2013, 1-12.
2012年度
1. Guangqi Shao, Congying Han, Tiande Guo, and Yang Hao. An NMF-Based Method for the Fingerprint Orientation Field Estimation. Computer and Information Science 2012，Studies in Computational Intelligence, Vol. 429, 2012, 93-104.
2011年度
1. Fangying Zheng, Congying Han(通讯作者), Yongli Wang. Parallel SSLE Algorithm for Large Scale Constrained Optimization. Applied Mathematics and Computation, 2011, 217(12): 5377-5384. (SCI & EI).
2. Liang Fang, Congying Han. A New One-step Smoothing Newton Method for the Second- order Cone Complementarity Problem. Mathematical Methods in the Applied Sciences, 2011, 34(3): 347-359.(SCI)
3. 冯婷婷,韩丛英(通讯作者),贺国平. 修正的SQP型并行变量分配算法，数学物理学报, 2011,31A(6).
4. 李晓蕊,韩丛英,贺国平. 求解MINLP的几类罚函数方法的分析和探讨. 数学实践与认识, 2011，41(1):202-208.
5. 徐晓,韩丛英,张永建,张永超. 基于最佳一致逼近理论求解矿用通风机性能曲线，煤炭学报，2011,Vol. 36(S. 1),186-190.(EI)
2010年度之前
1. Li Xiaorui, Han Congying, He Guoping. A Parallel Algorithm for SVM Based on Extended Saddle Point Condition. Communications in Computer and Information Science(CCIS), 2010, 105(1):129-136(EI).
2. Rong Hua,Congying Han(通讯作者), Guoping He. Parallel Pattern Search Method for Optimization Problem with Bounded Constraints. International Conference on Computational Intelligence and Industrial Application (PACIIA 2010), 2010, 6:345-348.
3.黄利国, 韩丛英, 孙莉. 基于变量转换的并行优化算法. 计算机工程, 2010, 36(23):34-35.
4. Congying Han, Yongli Wang, Guoping He. On the Convergence of Asynchronous Parallel Algorithm for Large-Scale Linearly Constrained Minimization Problem. Applied Mathematics and Computation, 2009, 211(2):434-441 (SCI&EI ).
5. Congying Han, Lijun Xu, Guoping He. Mining Recent Frequent Itemsets in Sliding Windows over Data Streams. Computing and Informatics, 2008, 27(3):315-339(SCI). 6. Han Congying, He Guoping, Duan Hua, Zhang Xuping. A Binding Number Computation of Graph. Fuzzy Systems and Knowledge Discovery, 2008, 4: 285-288, 18-20 (EI).
7. Han Congying, He Guoping, Zhang Xuping, Cui Huanqing. Distributed Parallel Algorithm For Nonlinear Optimization Without Derivatives，SNPD 2007:Eighth ACIS International Conference on Software Engineering，Artificial Intelligence，Networking and Parallel/Distributed Computing, 2007, 2: 512-515 (EI).
京公网安备 11010802027423号