基本信息
闫桂英  女  博导  中国科学院数学与系统科学研究院
电子邮件: yangy@amt.ac.cn
通信地址: 北京市中关村东路55号
邮政编码: 100190

招生信息

   
招生专业
070105-运筹学与控制论
招生方向
图论及其应用
生物信息学

教育背景

1985-09--1995-06   山东大学   本科/硕士/博士

工作经历

   
工作简历
2005-04~现在, 中国科学院数学与系统科学研究院, 研究员
1999-01~2005-03,中国科学院数学与系统科学研究院, 副研究员
1997-03~1998-12,中国科学院应用数学所, 助理研究员
1995-07~1997-02,中国科学院应用数学所, 博士后
社会兼职
2016-08-16-2020-07-31,中国工业与应用数学学会, 秘书长
2012-11-01-2016-10-31,中国运筹学会, 常务理事
2012-03-28-今,运筹与管理, 编委
2009-09-28-2015-12-30,Discrete Mathematics, Algorithms and Applications》, Editorial Board Member
2009-09-01-今,《应用数学学报》, 编委

教授课程

组合数学

专利与奖励

   
奖励信息
(1) 全国优秀科技工作者, 一等奖, 国家级, 2016
(2) 国务院政府特殊津贴, 一等奖, 国家级, 2013
专利成果
( 1 ) 一种药物增效组合预测方法及实验验证, 发明, 2014, 第 1 作者, 专利号: ZL 201110210508.0

出版信息

   
发表论文
[1] Liu, Weichan, Yan, Guiying. Hypergraph incidence coloring. DISCRETE MATHEMATICS[J]. 2023, 346(5): http://dx.doi.org/10.1016/j.disc.2022.113311.
[2] Li, Wenwen, Cai, Jiansheng, Yan, Guiying. List Injective Coloring of Planar Graphs. ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES[J]. 2022, 38(3): 614-626, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000819406400009.
[3] 刘维婵, 闫桂英. The Distance Matching Extension in K1,k-free Graphs with High Local Connectedness. Acta Mathematicae Applicatae Sinica, English Series[J]. 2022, [4] Li, Yuan, Wang, Xianbin, Zhang, Huazi, Wang, Jun, Tong, Wen, Yan, Guiying, Ma, Zhiming. Deterministic Identification over Channels without CSI. 2022, http://arxiv.org/abs/2205.06523.
[5] 闫桂英. On the Message Passing Efficiency of Polar and Low-Density Parity-Check Decoders. 2022 IEEE Global Communications Conference (GLOBECOM)null. 2022, [6] Tang, Yucong, Li, Tong, 闫桂英. Anti-Ramsey number of expansions of paths and cycles in uniform hypergraphs. JOURNAL OF GRAPH THEORY[J]. 2022, http://dx.doi.org/10.1002/jgt.22847.
[7] Wang, Qi, Chen, Siwei, Wang, He, Chen, Luzeng, Sun, Yongan, Yan, Guiying. Predicting Brain Regions Related to Alzheimer's Disease Based on Global Feature. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2021, 15: http://dx.doi.org/10.3389/fncom.2021.659838.
[8] 叶子诚, 闫桂英. 基于图模型的关键词提取算法研究. 系统科学与数学[J]. 2021, 41(4): 967-975, http://lib.cqvip.com/Qikan/Article/Detail?id=7105078776.
[9] Niu, YaWei, Qu, CunQuan, Wang, GuangHui, Wu, JianLiang, Yan, GuiYing. Information spreading with relative attributes on signed networks. INFORMATIONSCIENCES[J]. 2021, 551: 54-66, http://dx.doi.org/10.1016/j.ins.2020.11.042.
[10] Bi, Jialin, Jin, Ji, Qu, Cunquan, Zhan, Xiuxiu, Wang, Guanghui, Yan, Guiying. Temporal gravity model for important node identification in temporal networks. CHAOS SOLITONS & FRACTALS[J]. 2021, 147: http://dx.doi.org/10.1016/j.chaos.2021.110934.
[11] 白铂, 刘玉婷, 马驰骋, 王光辉, 闫桂英, 闫凯, 张明, 周志恒. 图神经网络. 中国科学:数学[J]. 2020, 367-384, https://www.sciengine.com/doi/10.1360/N012019-00133.
[12] Jin, Haiqiang, Ding, Zhijie, Lian, Siqing, Zhao, Yuhua, He, Shihua, Zhou, Lewei, Zhuoga, Cidan, Wang, Huali, Xu, Jun, Du, Ailian, Yan, Guiying, Sun, Yongan. Prevalence and Risk Factors of White Matter Lesions in Tibetan Patients Without Acute Stroke. STROKE[J]. 2020, 51(1): 149-153, https://www.webofscience.com/wos/woscc/full-record/WOS:000504225600036.
[13] Wang, Qi, Yan, Guiying. IDLDA: An Improved Diffusion Model for Predicting LncRNA-Disease Associations (vol 10, 1259, 2019). FRONTIERS IN GENETICS. 2020, 11: https://www.webofscience.com/wos/woscc/full-record/WOS:000524611000001.
[14] Lv, Xiangyang. A degree condition for fractional (g, f, n)-critical covered graphs. AIMS MATHEMATICS[J]. 2020, 5(2): 872-878, https://doaj.org/article/991fba5949394f2ea613781a7b45530c.
[15] 王佳. 图神经网络浅析. 现代计算机[J]. 2019, 58-62, http://lib.cqvip.com/Qikan/Article/Detail?id=7100073870.
[16] 陈思霨, 周乐为, 衷弘熙, 金海强, 王鹤, 闫桂英, 孙永安. 基于弥散张量成像的阿尔茨海默病患者脑白质结构网络改变的研究. 中华老年心脑血管病杂志[J]. 2019, 21(4): 340-344, http://lib.cqvip.com/Qikan/Article/Detail?id=7001756525.
[17] Wang, Qi, Yan, Guiying. IDLDA: An Improved Diffusion Model for Predicting LncRNA-Disease Associations. FRONTIERS IN GENETICS[J]. 2019, 10: https://doaj.org/article/a5e2617a61ea44f385945bb2b9575039.
[18] Zhang, Chengzhi, Yan, Guiying. Synergistic drug combinations prediction by integrating pharmacological data. SYNTHETIC AND SYSTEMS BIOTECHNOLOGY[J]. 2019, 4(1): 67-72, http://lib.cqvip.com/Qikan/Article/Detail?id=7103844995.
[19] Niu, YaWei, Wang, GuangHui, Yan, GuiYing, Chen, Xing. Integrating random walk and binary regression to identify novel miRNA-disease association. BMC BIOINFORMATICS[J]. 2019, 20(1): http://ir.amss.ac.cn/handle/2S8OKBNM/31814.
[20] Niu, YaWei, Qu, CunQuan, Wang, GuangHui, Yan, GuiYing. RWHMDA: Random Walk on Hypergraph for Microbe-Disease Association Prediction. FRONTIERS IN MICROBIOLOGY[J]. 2019, 10: http://ir.amss.ac.cn/handle/2S8OKBNM/35132, http://www.irgrid.ac.cn/handle/1471x/6869284, http://ir.amss.ac.cn/handle/2S8OKBNM/35133, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000474751500002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=3a85505900f77cc629623c3f2907beab.
[21] YaWei, Niu, Hua, Liu, GuangHui, Wang, GuiYing, Yan. Maximal entropy random walk on heterogenous network for MIRNA-disease Association prediction. MATHEMATICAL BIOSCIENCES[J]. 2018, 306: 1-9, http://ir.amss.ac.cn/handle/2S8OKBNM/31823.
[22] Du, Shaofei, Xu, Wenqin, Yan, Guiying. 2-Arc-Transitive Regular Covers of K-n,K-n Having the Covering Transformation Group Z(2)(p). COMBINATORICA[J]. 2018, 38(4): 803-826, https://www.webofscience.com/wos/woscc/full-record/WOS:000443306900003.
[23] Du, Shaofei, Xu, Wenqin, Yan, Guiying. 2-Arc-Transitive Regular Covers of K-n,K-n Having the Covering Transformation Group Z(p)(2). COMBINATORICA[J]. 2018, 38(4): 803-826, [24] Zhao, Qi, Xie, Di, Liu, Hongsheng, Wang, Fan, Yan, GuiYing, Chen, Xing. SSCMDA: spy and super cluster strategy for MiRNA-disease association prediction. ONCOTARGET[J]. 2018, 9(2): 1826-1842, https://www.webofscience.com/wos/woscc/full-record/WOS:000419623200027.
[25] Chen, Xing, Guan, NaNa, Li, JianQiang, Yan, GuiYing. GIMDA: Graphlet interaction-based MiRNA-disease association prediction. JOURNAL OF CELLULAR AND MOLECULAR MEDICINE[J]. 2018, 22(3): 1548-1561, http://dx.doi.org/10.1111/jcmm.13429.
[26] Chen, Xing, Niu, YaWei, Wang, GuangHui, Yan, GuiYing. HAMDA: Hybrid Approach for MiRNA-Disease Association prediction. JOURNAL OF BIOMEDICAL INFORMATICS[J]. 2017, 76: 50-58, http://dx.doi.org/10.1016/j.jbi.2017.10.014.
[27] Chen, Xing, Jiang, ZhiChao, Xie, Di, Huang, DeShuang, Zhao, Qi, Yan, GuiYing, You, ZhuHong. A novel computational model based on super-disease and miRNA for potential miRNA-disease association prediction. MOLECULAR BIOSYSTEMS[J]. 2017, 13(6): 1202-1212, http://dx.doi.org/10.1039/c6mb00853d.
[28] Li, ZhengWei, You, ZhuHong, Chen, Xing, Li, LiPing, Huang, DeShuang, Yan, GuiYing, Nie, Ru, Huang, YuAn. Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier. ONCOTARGET[J]. 2017, 8(14): 23638-23649, http://ir.xjipc.cas.cn/handle/365002/4768.
[29] Zhang, Xia, Hou, Jianfeng, Liu, Guizhen, Yan, Guiying. Graphs of f-class 1. DISCRETE APPLIED MATHEMATICS[J]. 2017, 222: 197-204, https://www.webofscience.com/wos/woscc/full-record/WOS:000398874900018.
[30] Cai, Jiansheng, Li, Xueliang, Yan, Guiying. Improved upper bound for the degenerate and star chromatic numbers of graphs. JOURNAL OF COMBINATORIAL OPTIMIZATION[J]. 2017, 34(2): 441-452, https://www.webofscience.com/wos/woscc/full-record/WOS:000405826600010.
[31] Cai, Jiansheng, Yan, Guiying, Zhang, Xia. The classification of f-coloring of graphs with large maximum degree. APPLIED MATHEMATICS AND COMPUTATION[J]. 2017, 313: 119-121, http://dx.doi.org/10.1016/j.amc.2017.05.059.
[32] Yan GuiYing. Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM pro le and discriminative vector machine classier. Oncotarget. 2017, [33] Yu, Xiao Wei, Wang, Guang Hui, Wu, Jian Liang, Yan, Gui Ying. Neighbor sum distinguishing edge coloring of subcubic graphs. ACTAMATHEMATICASINICAENGLISHSERIES[J]. 2017, 33(2): 252-262, https://www.webofscience.com/wos/woscc/full-record/WOS:000393643200006.
[34] Chen, Xing, Wu, QiaoFeng, Yan, GuiYing. RKNNMDA: Ranking-based KNN for MiRNA-Disease Association prediction. RNA BIOLOGY[J]. 2017, 14(7): 952-962, https://dx.doi.org/10.1080/15476286.2017.1312226.
[35] Chen, Xing, Niu, YaWei, Wang, GuangHui, Yan, GuiYing. MKRMDA: multiple kernel learning-based Kronecker regularized least squares for MiRNA-disease association prediction. JOURNAL OF TRANSLATIONAL MEDICINE[J]. 2017, 15(1): http://dx.doi.org/10.1186/s12967-017-1340-3.
[36] Chen Xing, Huang YuAn, You ZhuHong, Yan GuiYing, Wang XueSong. A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases. BIOINFORMATICS. 2017, 33(5): http://ir.xjipc.cas.cn/handle/365002/4789.
[37] 曹鲁, 闫桂英. 与murtysimon猜想相关的一个重要引理的推广. 数学学报[J]. 2017, 60(3): 513-, http://ir.amss.ac.cn/handle/2S8OKBNM/42445, http://www.irgrid.ac.cn/handle/1471x/6869499, http://ir.amss.ac.cn/handle/2S8OKBNM/42446.
[38] You, ZhuHong, Wang, LuoPin, Chen, Xing, Zhang, Shanwen, Li, XiaoFang, Yan, GuiYing, Li, ZhengWei. PRMDA: personalized recommendation-based MiRNA-disease association prediction. ONCOTARGET[J]. 2017, 8(49): 85568-85583, http://dx.doi.org/10.18632/oncotarget.20996.
[39] Tang, Yucong, Yan, Guiying. An approximate ore-type result for tight Hamilton cycles in uniform hypergraphs. DISCRETE MATHEMATICS[J]. 2017, 340(7): 1528-1534, http://dx.doi.org/10.1016/j.disc.2017.02.018.
[40] Chen, Xing, Huang, YuAn, You, ZhuHong, Yan, GuiYing, Wang, XueSong. A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases. BIOINFORMATICS[J]. 2017, 33(5): 733-739, http://ir.xjipc.cas.cn/handle/365002/4789.
[41] Huang, YuAn, You, ZhuHong, Chen, Xing, Huang, ZhiAn, Zhang, Shanwen, Yan, GuiYing. Prediction of microbe-disease association from the integration of neighbor and graph with collaborative recommendation model. JOURNAL OF TRANSLATIONAL MEDICINE[J]. 2017, 15(1): http://dx.doi.org/10.1186/s12967-017-1304-7.
[42] 蔡建生, 闫桂英. 随机图中leftkk1right因子的存在性. 应用数学学报[J]. 2017, 40(1): 144-, http://ir.amss.ac.cn/handle/2S8OKBNM/47662, http://www.irgrid.ac.cn/handle/1471x/6869642, http://ir.amss.ac.cn/handle/2S8OKBNM/47663.
[43] Hou, Jianfeng, Wu, Shufei, Yan, Guiying. On bisections of directed graphs. EUROPEAN JOURNAL OF COMBINATORICS[J]. 2017, 63: 44-58, http://dx.doi.org/10.1016/j.ejc.2017.02.004.
[44] You, ZhuHong, Huang, ZhiAn, Zhu, Zexuan, Yan, GuiYing, Li, ZhengWei, Wen, Zhenkun, Chen, Xing. PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction. PLOS COMPUTATIONAL BIOLOGY[J]. 2017, 13(3): http://ir.xjipc.cas.cn/handle/365002/4787.
[45] 蔡建生, 闫桂英. 随机图中k,k+1-因子的存在性. 应用数学学报. 2017, 144-148, http://kns.cnki.net/KCMS/detail/detail.aspx?QueryID=0&CurRec=466&recid=&FileName=YYSU201701013&DbName=CJFDLAST2017&DbCode=CJFQ&yx=&pr=&URLID=&bsm=QK0101;.
[46] Wang, Fan, Huang, ZhiAn, Chen, Xing, Zhu, Zexuan, Wen, Zhenkun, Zhao, Jiyun, Yan, GuiYing. LRLSHMDA: Laplacian Regularized Least Squares for Human Microbe-Disease Association prediction. SCIENTIFIC REPORTS[J]. 2017, 7(1): https://doaj.org/article/2e229a61ac344ff09129bf97747f5b88.
[47] Xia Zhang, Jianfeng Hou, Guizhen Liu, Guiying Yan. Graphs of formula omitted-class 1. DISCRETE APPLIED MATHEMATICS. 2017, 222: 197-204, http://dx.doi.org/10.1016/j.dam.2017.01.010.
[48] 曹鲁, 闫桂英. 与Murty-Simon猜想相关的一个重要引理的推广. 数学学报(中文版)[J]. 2017, 513-, http://ir.amss.ac.cn/handle/2S8OKBNM/42445, http://www.irgrid.ac.cn/handle/1471x/6869499, http://ir.amss.ac.cn/handle/2S8OKBNM/42446.
[49] Huang, ZhiAn, Chen, Xing, Zhu, Zexuan, Liu, Hongsheng, Yan, GuiYing, You, ZhuHong, Wen, Zhenkun. PBHMDA: Path-Based Human Microbe-Disease Association Prediction. FRONTIERS IN MICROBIOLOGY[J]. 2017, 8(2): http://dx.doi.org/10.3389/fmicb.2017.00233.
[50] Chen, Xing, Sun, YaZhou, Zhang, DeHong, Li, JianQiang, Yan, GuiYing, An, JiYong, You, ZhuHong. NRDTD: a database for clinically or experimentally supported non-coding RNAs and drug targets associations. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION[J]. 2017, https://www.webofscience.com/wos/woscc/full-record/WOS:000407488700001.
[51] Tsugaki, Masao, Yan, Guiying. m-dominating k-ended trees of l-connected graphs. AKCE INTERNATIONAL JOURNAL OF GRAPHS AND COMBINATORICS[J]. 2017, 14(3): 277-286, https://doaj.org/article/bc92e68749e942caaf27d67872130a18.
[52] Li, JianQiang, Rong, ZhiHao, Chen, Xing, Yan, GuiYing, You, ZhuHong. MCMDA: Matrix completion for MiRNA-disease association prediction. ONCOTARGET[J]. 2017, 8(13): 21187-21199, http://dx.doi.org/10.18632/oncotarget.15061.
[53] Hou, Jianfeng, Wu, Shufei, Yan, Guiying. On judicious partitions of uniform hypergraphs. JOURNAL OF COMBINATORIAL THEORY SERIES A[J]. 2016, 141: 16-32, http://dx.doi.org/10.1016/j.jcta.2016.02.004.
[54] Chen, Xing, Ren, Biao, Chen, Ming, Wang, Quanxin, Zhang, Lixin, Yan, Guiying. NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning. PLOS COMPUTATIONAL BIOLOGY[J]. 2016, 12(7): http://dx.doi.org/10.1371/journal.pcbi.1004975.
[55] Qu, Cunquan, Wang, Guanghui, Yan, Guiying, Yu, Xiaowei. Neighbor sum distinguishing total choosability of planar graphs. JOURNAL OF COMBINATORIAL OPTIMIZATION[J]. 2016, 32(3): 906-916, https://www.webofscience.com/wos/woscc/full-record/WOS:000382939800016.
[56] Kano, Mikio, Ozeki, Kenta, Tsugaki, Masao, Yan, Guiying. m-dominating k-trees of graphs. DISCRETE MATHEMATICS[J]. 2016, 339(2): 729-736, https://www.webofscience.com/wos/woscc/full-record/WOS:000367630800038.
[57] Deng, Xingchao, Li, Hengzhe, Yan, Guiying. Algorithm on rainbow connection for maximal outerplanar graphs. THEORETICAL COMPUTER SCIENCE[J]. 2016, 651: 76-86, http://dx.doi.org/10.1016/j.tcs.2016.08.020.
[58] Zhang, Jianghua, Ding, Laihao, Wang, Guanghui, Yan, Guiying, Zhou, Shan. Neighbor Sum Distinguishing Index of -Minor Free Graphs. GRAPHS AND COMBINATORICS[J]. 2016, 32(4): 1621-1633, https://www.webofscience.com/wos/woscc/full-record/WOS:000378947000026.
[59] Wang, Guanghui, Yan, Guiying, Yu, Xiaowei. Existence of rainbow matchings in strongly edge-colored graphs. DISCRETE MATHEMATICS[J]. 2016, 339(10): 2457-2460, http://dx.doi.org/10.1016/j.disc.2016.04.016.
[60] Xu Xin, Yan Guiying, Zhang Yao. csciencechinapressandspringerverlagberlinheidelberg2015mathscichinacomlinkspringercomjudiciouspartitionsofweightedhypergraphs. SCIENCECHINAMATHEMATICS[J]. 2016, 59(3): 609-, http://ir.amss.ac.cn/handle/2S8OKBNM/38810, http://www.irgrid.ac.cn/handle/1471x/6869389, http://ir.amss.ac.cn/handle/2S8OKBNM/38811.
[61] Wu, Yuwen, Tan, Kanran, Yan, Guiying. Improved Bounds on the Generalized Acyclic Chromatic Number. ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES[J]. 2016, 32(1): 67-72, [62] Huang, YuAn, You, ZhuHong, Chen, Xing, Yan, GuiYing. Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition. BMC SYSTEMS BIOLOGY[J]. 2016, 10: http://dx.doi.org/10.1186/s12918-016-0360-6.
[63] Qu, Cunquan, Ding, Laihao, Wang, Guanghui, Yan, Guiying. Neighbor Distinguishing Total Choice Number of Sparse Graphs via the Combinatorial Nullstellensatz. ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES[J]. 2016, 32(2): 537-548, http://ir.amss.ac.cn/handle/2S8OKBNM/46075, http://www.irgrid.ac.cn/handle/1471x/6869594, http://ir.amss.ac.cn/handle/2S8OKBNM/46076.
[64] Chen, Xing, Yan, Chenggang Clarence, Zhang, Xu, You, ZhuHong, Huang, YuAn, Yan, GuiYing. HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction. ONCOTARGET[J]. 2016, 7(40): 65257-65269, http://dx.doi.org/10.18632/oncotarget.11251.
[65] Chen, Xing, You, ZhuHong, Yan, GuiYing, Gong, DunWei. IRWRLDA: improved random walk with restart for lncRNA-disease association prediction. ONCOTARGET[J]. 2016, 7(36): 57919-57931, http://dx.doi.org/10.18632/oncotarget.11141.
[66] An, JiYong, You, ZhuHong, Chen, Xing, Huang, DeShuang, Yan, Guiying, Wang, DaFu. Robust and accurate prediction of protein self-interactions from amino acids sequence using evolutionary information. MOLECULAR BIOSYSTEMS[J]. 2016, 12(12): 3702-3710, http://dx.doi.org/10.1039/c6mb00599c.
[67] Xu Xin, Yan GuiYing, Zhang Yao. Judicious partitions of weighted hypergraphs. SCIENCE CHINA-MATHEMATICS[J]. 2016, 59(3): 609-616, https://www.webofscience.com/wos/woscc/full-record/WOS:000369948900014.
[68] Cai, Jiansheng, Feng, Binlu, Yan, Guiying. Acyclic coloring of graphs with some girth restriction. JOURNAL OF COMBINATORIAL OPTIMIZATION[J]. 2016, 31(4): 1399-1404, https://www.webofscience.com/wos/woscc/full-record/WOS:000373574300003.
[69] Qu, Cunquan, Ding, Laihao, Wang, Guanghui, Yan, Guiying. Neighbor Distinguishing Total Choice Number of Sparse Graphs via the Combinatorial Nullstellensatz. ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES[J]. 2016, 32(2): 537-548, http://ir.amss.ac.cn/handle/2S8OKBNM/46075, http://www.irgrid.ac.cn/handle/1471x/6869594, http://ir.amss.ac.cn/handle/2S8OKBNM/46076.
[70] Wu, Yuwen, Tan, Kanran, Yan, Guiying. Improved Bounds on the Generalized Acyclic Chromatic Number. ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES[J]. 2016, 32(1): 67-72, https://www.webofscience.com/wos/woscc/full-record/WOS:000373403700005.
[71] An, JiYong, Meng, FanRong, You, ZhuHong, Chen, Xing, Yan, GuiYing, Hu, JiPu. Improving protein-protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model. PROTEIN SCIENCE[J]. 2016, 25(10): 1825-1833, http://dx.doi.org/10.1002/pro.2991.
[72] Zhang, Yao, Tang, Yu Cong, Yan, Gui Ying. On judicious partitions of hypergraphs with edges of size at most 3. EUROPEAN JOURNAL OF COMBINATORICS[J]. 2015, 49: 232-239, http://dx.doi.org/10.1016/j.ejc.2015.03.015.
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[151] Yan GuiYing. Orthogonal (g,f)-Factorization in Bipartite Graph. Hokkaido Math. Journal. 1998, [152] 闫桂英, 潘教峰. 具有正交的(g,f)—因子分解的子图. 中国科学:A辑[J]. 1997, 27(11): 961-967, http://lib.cqvip.com/Qikan/Article/Detail?id=2889711.
[153] Yan, GY, Albrecht, A, Young, GHF, Wong, CK. The Steiner tree problem in orientation metrics. JOURNAL OF COMPUTER AND SYSTEM SCIENCES[J]. 1997, 55(3): 529-546, https://www.webofscience.com/wos/woscc/full-record/WOS:000071648600012.
[154] Guiying Yan. gffactorizationsofgraphsorthogonalto12subgraph. ACTAMATHEMATICAEAPPLICATAESINICA[J]. 1997, 13(4): 371-, http://ir.amss.ac.cn/handle/2S8OKBNM/36708, http://www.irgrid.ac.cn/handle/1471x/6866224, http://ir.amss.ac.cn/handle/2S8OKBNM/36709.
[155] Liu, GZ, Yan, GY. Orthogonal k-1,k+1-factorizations in graphs. JOURNAL OF STATISTICAL PLANNING AND INFERENCE[J]. 1996, 51(2): 195-200, [156] Yan GuiYing. New Results on (g,f)-Factorizations of Graphs. MATHEMATICAAPPLICATA. 1996, [157] Yan GuiYing. (g,f)-factors with given properties. JOURNALOFSHANDONGUNIVERSITY. 1995, [158] Yan GuiYing. Some New Result on (g,f)-Factorizations of Graphs. Journal of Combinatorial Mathematics and Combinatorial Computing. 1995, [159] LIU, GZ. ORTHOGONAL (G,F)-FACTORIZATIONS IN GRAPHS. DISCRETE MATHEMATICS[J]. 1995, 143(1-3): 153-158, http://dx.doi.org/10.1016/0012-365X(94)00033-F.
[160] Yan GuiYing. Some Theorems on (g,f)-Factorizations of Graphs, Combinatorics. Graph Theory, Algorithms and Applications. 1994, [161] Yan GuiYing. The Existence of k-fator and the Condition of Neighbourhood Union. Pure Applied Mathematics. 1994, [162] Ma Runnian, Gao Hangshan. On (g, f)-factorizations of graphs. APPLIED MATHEMATICS AND MECHANICS,. 1980, 18(4): http://kns.cnki.net/KCMS/detail/detail.aspx?QueryID=0&CurRec=5&recid=&FileName=SSJD00000047166&DbName=SSJD_01&DbCode=SSJD&yx=&pr=&URLID=&bsm=.
[163] []. An Application of Hypergraph on the Generalized Gossip Problem. 中国运筹学会第六届学术交流会. [164] Ren, Wei, Yan, Guiying, Liao, Xiaoping. A Simple Probabilistic Algorithm for Detecting Community Structure in Social Networks. http://arxiv.org/abs/0710.3422.

科研活动

   
科研项目
( 1 ) 随机复杂数据与随机复杂结构理论方法及其应用, 参与, 国家级, 2009-01--2013-12
( 2 ) 优化方法及其在信息技术中的应用, 主持, 部委级, 2009-01--2012-12
( 3 ) 图理论和算法研究及其在生物信息学中的应用, 主持, 国家级, 2017-01--2020-12
( 4 ) 复杂疾病相关的非编码RNA识别模型及算法研究, 主持, 国家级, 2013-01--2017-12
( 5 ) 协同药物研发中的关键数学问题, 主持, 国家级, 2013-01--2013-12

指导学生

已指导学生

程郁琨  硕士研究生  070105-运筹学与控制论  

肖岚  博士研究生  070105-运筹学与控制论  

任伟  博士研究生  070105-运筹学与控制论  

吴玉文  博士研究生  070105-运筹学与控制论  

廖小平  博士研究生  070105-运筹学与控制论  

王艺桥  博士研究生  070105-运筹学与控制论  

陈兴  博士研究生  070105-运筹学与控制论  

刘明熹  博士研究生  070105-运筹学与控制论  

徐鑫  博士研究生  070105-运筹学与控制论  

张瑶  博士研究生  070105-运筹学与控制论  

唐与聪  博士研究生  070105-运筹学与控制论  

曹鲁  博士研究生  070105-运筹学与控制论  

现指导学生

张成芝  博士研究生  070105-运筹学与控制论  

周乐为  博士研究生  070105-运筹学与控制论  

王齐   硕士研究生  070105-运筹学与控制论  

马驰骋   博士研究生  070105-运筹学与控制论  

田雷霞  博士研究生  070105-运筹学与控制论