基本信息
吴凌云  男  博导  中国科学院数学与系统科学研究院
电子邮件: lywu@amss.ac.cn
通信地址: 北京市海淀区中关村东路55号
邮政编码: 100190

招生信息

   
招生专业
070105-运筹学与控制论
1201Z1-管理运筹学
081203-计算机应用技术
招生方向
运筹学及其应用
优化与决策
数据挖掘与生物信息学

教育背景

1997-09--2002-07   中国科学院数学与系统科学研究院   博士
1993-09--1997-07   武汉大学数学系   本科

工作经历

   
工作简历
2015-03~现在, 中国科学院数学与系统科学研究院, 研究员
2007-04~2015-03,中国科学院数学与系统科学研究院, 副研究员
2005-06~2007-04,中国科学院数学与系统科学研究院, 助理研究员
2003-09~2005-06,中国科学院数学与系统科学研究院, 博士后
2002-08~2003-08,香港科技大学工业工程与工程管理系, 博士后
社会兼职
2020-10-18-今,中国运筹学会, 组织工作委员会副主任
2020-10-18-今,中国运筹学会, 常务副秘书长
2019-01-10-今,中国工业与应用数学学会, 副秘书长
2016-10-16-今,中国运筹学会, 常务理事
2016-10-15-2020-10-18,中国运筹学会, 青年工作委员会副主任
2012-10-18-今,中国运筹学会, 理事
2012-10-17-2020-10-18,中国运筹学会, 科普工作委员会副主任
2011-08-31-2020-09-19,中国运筹学会计算系统生物学分会, 副理事长
2010-10-01-今,运筹与管理, 编委

教授课程

随机算法
本科生毕业设计(数学与应用数学)
生物信息学与计算系统生物学
生物信息学与系统生物学

出版信息

   
发表论文
[1] 李珍萍, 施莹, 吴凌云. 多约束混流线平衡与排序优化问题研究. 系统仿真学报[J]. 2023, 35(01期): 27-40, VIP_JournalArticle.
[2] 侯智超, 冷嘉承, 于嘉汀, Zheng Xia, 吴凌云. PathExpSurv: pathway expansion for explainable survival analysis and disease gene discovery. BMC Bioinformatics[J]. 2023, [3] Jiating Yu, Jiacheng Leng, Duanchen Sun, LingYun Wu. Network Refinement: Denoising complex networks for better community detection. PHYSICA A: STATISTICAL MECHANICS AND ITS APPLICATIONS[J]. 2023, 617: http://dx.doi.org/10.1016/j.physa.2023.128681.
[4] Ren, Tao, Chen, Canping, Danilov, Alexey V, Liu, Susan, Guan, Xiangnan, Du, Shunyi, Wu, Xiwei, Sherman, Mara H, Spellman, Paul T, Coussens, Lisa M, Adey, Andrew C, Mills, Gordon B, Wu, LingYun, Xia, Zheng. Supervised learning of high-confidence phenotypic subpopulations from single-cell data (vol 5, pg 528, 2023). NATURE MACHINE INTELLIGENCE[J]. 2023, 5(6): 676-676, http://dx.doi.org/10.1038/s42256-023-00681-x.
[5] Leng, Jiacheng, Wu, LingYun. Importance-Penalized Joint Graphical Lasso (IPJGL): differential network inference via GGMs. BIOINFORMATICS[J]. 2022, 38(3): 770-777, http://dx.doi.org/10.1093/bioinformatics/btab751.
[6] Wang, Xu, Wu, LingYun. Operations Research in the Blockchain Technology. JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA[J]. 2022, 10: 401-422, [7] 于嘉汀, 吴凌云. Multiple Order Local Information model for link prediction in complex networks. PHYSICAASTATISTICALMECHANICSANDITSAPPLICATIONS[J]. 2022, 600: [8] Sun, Duanchen, Guan, Xiangnan, Moran, Amy E, Wu, LingYun, Qian, David Z, Schedin, Pepper, Dai, MuShui, Danilov, Alexey, V, Alumkal, Joshi J, Adey, Andrew C, Spellman, Paul T, Xia, Zheng. Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data. NATURE BIOTECHNOLOGY[J]. 2022, 40(4): 527-+, http://dx.doi.org/10.1038/s41587-021-01091-3.
[9] 李珍萍, 贾顺顺, 卜晓奇, 吴凌云, 张国维. 无人仓系统储位分配问题的优化模型与算法. 中国管理科学[J]. 2022, 30(1): 124-135, http://lib.cqvip.com/Qikan/Article/Detail?id=7106740087.
[10] Leng, Jiacheng, Wu, LingYun. Interaction-based transcriptome analysis via differential network inference. BRIEFINGS IN BIOINFORMATICS[J]. 2022, 23(6): http://dx.doi.org/10.1093/bib/bbac466.
[11] 吴凌云. 考虑商品数量和商品拣选成本的AGV智能仓库订单分批问题研究. 运筹与管理. 2021, [12] Gao, Bo, Zhao, Yue, Gao, Yonghang, Li, Guojun, Wu, LingYun. Identification of Common Driver Gene Modules and Associations between Cancers through Integrated Network Analysis. GLOBAL CHALLENGES[J]. 2021, 5(9): https://doaj.org/article/a9d6156106dc46a78bbf5241aead2fc5.
[13] 李珍萍, 田宇璇, 卜晓奇, 吴凌云. 无人仓系统订单分批问题及K-max聚类算法. 计算机集成制造系统[J]. 2021, 27(5): 1506-1517, http://lib.cqvip.com/Qikan/Article/Detail?id=7104713719.
[14] 李珍萍, 范欣然, 吴凌云. 基于“货到人”拣选模式的储位分配问题研究. 运筹与管理[J]. 2020, 29(2): 1-11, http://lib.cqvip.com/Qikan/Article/Detail?id=7101276861.
[15] Wang, Xu, Gan, Guohua, Wu, LingYun. Framework and algorithms for identifying honest blocks in blockchain. PLOS ONE[J]. 2020, 15(1): https://doaj.org/article/d0ba4d1951db4c10bd806d6c2c747925.
[16] 李珍萍, 付红叶, 卜晓奇, 张国维, 吴凌云. 基于AGV的智能仓库系统订单分批问题研究. 运筹与管理[J]. 2020, 29(9): 1-9, http://lib.cqvip.com/Qikan/Article/Detail?id=7102928496.
[17] 王旭, 甘国华, 吴凌云. 区块链性能的量化分析研究. 计算机工程与应用[J]. 2020, 56(3): 55-60, http://lib.cqvip.com/Qikan/Article/Detail?id=7100842119.
[18] 冷嘉承, 吴凌云. 基于机器学习的RNA编辑位点预测方法综述. 生物信息学[J]. 2019, 17(1): 1-8, http://lib.cqvip.com/Qikan/Article/Detail?id=7001395613.
[19] 李珍萍, 陈星艺, 卜晓奇, 吴凌云. 基于AGV的智能仓库系统储位分配问题研究. 数学的实践与认识[J]. 2019, 296-305, http://lib.cqvip.com/Qikan/Article/Detail?id=83837483504849574954485151.
[20] Sun, Duanchen, Ren, Xianwen, Ari, Eszter, Korcsmaros, Tamas, Csermely, Peter, Wu, LingYun. Discovering cooperative biomarkers for heterogeneous complex disease diagnoses. BRIEFINGS IN BIOINFORMATICS[J]. 2019, 20(1): 89-101, http://dx.doi.org/10.1093/bib/bbx090.
[21] Sun, Duanchen, Liu, Yinliang, Zhang, XiangSun, Wu, LingYun. CEA: Combination-based gene set functional enrichment analysis. SCIENTIFIC REPORTS[J]. 2018, 8(1): https://doaj.org/article/b29ee997d8fb405b96744d0d5603f13e.
[22] 李珍萍, 胡娩霞, 吴凌云. 基于遗传算法的成品油二次配送车辆路径问题研究. 数学的实践与认识. 2018, 48(9): 189-198, https://d.wanfangdata.com.cn/periodical/sxdsjyrs201809020.
[23] Xu, Yan, Li, Li, Ding, Jun, Wu, LingYun, Mai, Guoqin, Zhou, Fengfeng. Gly-PseAAC: Identifying protein lysine glycation through sequences. GENE[J]. 2017, 602: 1-7, http://dx.doi.org/10.1016/j.gene.2016.11.021.
[24] Liu, ZhiPing, Liu, Shutang, Chen, Ruitang, Huang, Xiaopeng, Wu, LingYun. Structure alignment-based classification of RNA-binding pockets reveals regional RNA recognition motifs on protein surfaces. BMC BIOINFORMATICS[J]. 2017, 18(1): http://dx.doi.org/10.1186/s12859-016-1410-1.
[25] Sun, Duanchen, Liu, Yinliang, Zhang, XiangSun, Wu, LingYun. NetGen: a novel network-based probabilistic generative model for gene set functional enrichment analysis. BMC SYSTEMS BIOLOGY[J]. 2017, 11(Suppl 4): http://dx.doi.org/10.1186/s12918-017-0456-7.
[26] Xu, Yan, Ding, YaXin, Ding, Jun, Wu, LingYun, Xue, Yu. Mal-Lys: prediction of lysine malonylation sites in proteins integrated sequence-based features with mRMR feature selection. SCIENTIFIC REPORTS[J]. 2016, 6: http://dx.doi.org/10.1038/srep38318.
[27] Xu, Yan, Ding, Jun, Wu, LingYun. iSulf-Cys: Prediction of S-sulfenylation Sites in Proteins with Physicochemical Properties of Amino Acids. PLOS ONE[J]. 2016, 11(4): http://dx.doi.org/10.1371/journal.pone.0154237.
[28] Csermely, Peter, Hodsagi, Janos, Korcsmaros, Tamas, Modos, Dezso, PerezLopez, Aron R, Szalay, Kristof, Veres, Daniel V, Lenti, Katalin, Wu, LingYun, Zhang, XiangSun. Cancer stem cells display extremely large evolvability: alternating plastic and rigid networks as a potential Mechanism Network models, novel therapeutic target strategies, and the contributions of hypoxia, inflammation and cellular senescence. SEMINARS IN CANCER BIOLOGYnull. 2015, 30: 42-51, http://dx.doi.org/10.1016/j.semcancer.2013.12.004.
[29] Xu, Yan, Ding, YaXin, Ding, Jun, Lei, YaHui, Wu, LingYun, Deng, NaiYang. iSuc-PseAAC: predicting lysine succinylation in proteins by incorporating peptide position-specific propensity. SCIENTIFIC REPORTS[J]. 2015, 5: https://www.webofscience.com/wos/woscc/full-record/WOS:000356523700001.
[30] Ling-Yun Wu. Enrichment set cover problem. The Proceedings of 12th International Symposium on Operations Research and Its Applications. 2015, [31] Xu, Yan, Ding, YaXin, Ding, Jun, Wu, LingYun, Deng, NaiYang. Phogly-PseAAC: Prediction of lysine phosphoglycerylation in proteins incorporating with position-specific propensity. JOURNAL OF THEORETICAL BIOLOGY[J]. 2015, 379: 10-15, http://dx.doi.org/10.1016/j.jtbi.2015.04.016.
[32] Zhang, Junhua, Wu, LingYun, Zhang, XiangSun, Zhang, Shihua. Discovery of co-occurring driver pathways in cancer. BMC BIOINFORMATICS[J]. 2014, 15(1): http://dx.doi.org/10.1186/1471-2105-15-271.
[33] Xu, Yan, Wang, Xiaobo, Wang, Yongcui, Tian, Yingjie, Shao, Xiaojian, Wu, LingYun, Deng, Naiyang. Prediction of posttranslational modification sites from amino acid sequences with kernel methods. JOURNAL OF THEORETICAL BIOLOGY[J]. 2014, 344: 78-87, http://dx.doi.org/10.1016/j.jtbi.2013.11.012.
[34] Xu, Yan, Wen, Xin, Wen, LiShu, Wu, LingYun, Deng, NaiYang, Chou, KuoChen. iNitro-Tyr: Prediction of Nitrotyrosine Sites in Proteins with General Pseudo Amino Acid Composition. PLOS ONE[J]. 2014, 9(8): https://www.webofscience.com/wos/woscc/full-record/WOS:000341017000088.
[35] Huang Qiang, Wu Lingyun, Wang Yong, Zhang Xiangsun. gomafunctionalenrichmentanalysistoolbasedongomodules. CHINESEJOURNALOFCANCER[J]. 2013, 32(4): 195-, http://ir.amss.ac.cn/handle/2S8OKBNM/49423, http://www.irgrid.ac.cn/handle/1471x/6869689, http://ir.amss.ac.cn/handle/2S8OKBNM/49424.
[36] Huang, Qiang, Wu, LingYun, Wang, Yong, Zhang, XiangSun. GOMA: functional enrichment analysis tool bases on GO modules. CHINESE JOURNAL OF CANCER[J]. 2013, 32(4): 195-204, https://www.webofscience.com/wos/woscc/full-record/WOS:000339648500006.
[37] Yan Xu, Jun Ding, LingYun Wu, KuoChen Chou. iSNO-PseAAC: Predict Cysteine S-Nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition. PLOS ONE[J]. 2013, 8(2): https://doaj.org/article/5befbbfbeb4f43929192a4d1685c0f33.
[38] Huang, Qiang, Wu, LingYun, Zhang, XiangSun. Corbi: a new R package for biological network alignment and querying. BMC SYSTEMS BIOLOGY[J]. 2013, 7(Suppl 2): S6-S6, http://dx.doi.org/10.1186/1752-0509-7-S2-S6.
[39] Xu, Yan, Shao, XiaoJian, Wu, LingYun, Deng, NaiYang, Chou, KuoChen. iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins. PEERJ[J]. 2013, 1: https://doaj.org/article/4b790059c54c455a9619d2b5c55d5116.
[40] Ling-Yun Wu. CNetA: Network alignment by combining biological and topological features. Proceedings of the 6th IEEE International Conference on Systems Biology (ISB). 2012, [41] Li, HuiJia, Wang, Yong, Wu, LingYun, Liu, ZhiPing, Chen, Luonan, Zhang, XiangSun. Community structure detection based on Potts model and network's spectral characterization. EPL[J]. 2012, 97(4): http://dx.doi.org/10.1209/0295-5075/97/48005.
[42] Zhao, Junfei, Zhang, Shihua, Wu, LingYun, Zhang, XiangSun. Efficient methods for identifying mutated driver pathways in cancer. BIOINFORMATICS[J]. 2012, 28(22): 2940-2947, https://www.webofscience.com/wos/woscc/full-record/WOS:000311303500011.
[43] Wang, Yong, Wu, QiaoFeng, Chen, Chen, Wu, LingYun, Yan, XianZhong, Yu, ShuGuang, Zhang, XiangSun, Liang, FanRong. Revealing metabolite biomarkers for acupuncture treatment by linear programming based feature selection. BMC SYSTEMS BIOLOGY[J]. 2012, 6(Suppl 1): S15-S15, http://dx.doi.org/10.1186/1752-0509-6-S1-S15.
[44] Li, HuiJia, Wang, Yong, Wu, LingYun, Zhang, Junhua, Zhang, XiangSun. Potts model based on a Markov process computation solves the community structure problem effectively. PHYSICAL REVIEW E[J]. 2012, 86(1): http://dx.doi.org/10.1103/PhysRevE.86.016109.
[45] Ling-Yun Wu. Analyzing time-course gene expression data using profile-state hidden Markov model. Proceedings of the 5th IEEE International Conference on Systems Biology (ISB). 2011, [46] Huang, Qiang, Wu, LingYun, Zhang, XiangSun. An efficient network querying method based on conditional random fields. BIOINFORMATICS[J]. 2011, 27(22): 3173-3178, https://www.webofscience.com/wos/woscc/full-record/WOS:000296637500014.
[47] Wang, Jiguang, Huang, Qiang, Liu, ZhiPing, Wang, Yong, Wu, LingYun, Chen, Luonan, Zhang, XiangSun. NOA: a novel Network Ontology Analysis method. NUCLEIC ACIDS RESEARCH[J]. 2011, 39(13): https://www.webofscience.com/wos/woscc/full-record/WOS:000293020000004.
[48] Ling-Yun Wu. Detecting coherent local patterns from time series gene expression data by a temporal biclustering method. Proceedings of the 5th IEEE International Conference on Systems Biology (ISB). 2011, [49] Wang, Lin, Wu, LingYun, Wang, Yong, Zhang, XiangSun, Chen, Luonan. SANA: an algorithm for sequential and non-sequential protein structure alignment. AMINO ACIDS[J]. 2010, 39(2): 417-425, https://www.webofscience.com/wos/woscc/full-record/WOS:000279190400011.
[50] Xu, Yan, Wang, XiaoBo, Ding, Jun, Wu, LingYun, Deng, NaiYang. Lysine acetylation sites prediction using an ensemble of support vector machine classifiers. JOURNAL OF THEORETICAL BIOLOGY[J]. 2010, 264(1): 130-135, http://dx.doi.org/10.1016/j.jtbi.2010.01.013.
[51] 谢昱姝, 宋冰雪, 代宝乾, 吴凌云, 汪彤. 基于DEA和AHP的安全生产形势评价方法研究. 2010, http://kns.cnki.net/KCMS/detail/detail.aspx?QueryID=0&CurRec=1711&recid=&FileName=ZNXX201010012030&DbName=IPFD9914&DbCode=IPFD&yx=&pr=&URLID=&bsm=.
[52] Liu, ZhiPing, Wu, LingYun, Wang, Yong, Zhang, XiangSun, Chen, Luonan. Prediction of protein-RNA binding sites by a random forest method with combined features. BIOINFORMATICS[J]. 2010, 26(13): 1616-1622, http://dx.doi.org/10.1093/bioinformatics/btq253.
[53] Ren, Xianwen, Zhou, Xiaobo, Wu, LingYun, Zhang, XiangSun. An information-flow-based model with dissipation, saturation and direction for active pathway inference. BMC SYSTEMS BIOLOGY[J]. 2010, 4(1): http://dx.doi.org/10.1186/1752-0509-4-72.
[54] XiangSun Zhang, LingYun Wu, Xiaobo Zhou, Xianwen Ren. An information-flow-based model with dissipation, saturation and direction for active pathway inference. 2010, http://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA201706299276578ZK.
[55] Xia, Zheng, Wu, LingYun, Zhou, Xiaobo, Wong, Stephen T C. Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces. BMC SYSTEMS BIOLOGY[J]. 2010, 4(Suppl 2): S6-S6, http://dx.doi.org/10.1186/1752-0509-4-S2-S6.
[56] 吴凌云. DEA with weight constraints for evaluation of work safety supervision. Lecture Notes in Operations Research. 2010, [57] 陈兴, 王勇, 吴凌云, 闫桂英, 朱伟. 多阶段多目标多部门应急决策模型. 系统工程理论与实践[J]. 2010, 1977-, http://lib.cqvip.com/Qikan/Article/Detail?id=35990344.
[58] Shao, Xiaojian, Tian, Yingjie, Wu, Lingyun, Wang, Yong, Jing, Ling, Deng, Naiyang. Predicting DNA- and RNA-binding proteins from sequences with kernel methods. JOURNAL OF THEORETICAL BIOLOGY[J]. 2009, 258(2): 289-293, http://dx.doi.org/10.1016/j.jtbi.2009.01.024.
[59] Wang, Yong, Wu, LingYun, Zhang, JiHong, Zhan, ZhongWei, Zhang, XiangSun, Chen, Luonan. Evaluating Protein Similarity from Coarse Structures. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS[J]. 2009, 6(4): 583-593, http://dx.doi.org/10.1109/TCBB.2007.70250.
[60] Wang, XiaoBo, Wu, LingYun, Wang, YongCui, Deng, NaiYang. Prediction of palmitoylation sites using the composition of k-spaced amino acid pairs. PROTEIN ENGINEERING DESIGN & SELECTION[J]. 2009, 22(11): 707-712, https://www.webofscience.com/wos/woscc/full-record/WOS:000271109800008.
[61] Wu, LingYun, Li, Zhenping, Wang, RuiSheng, Zhang, XiangSun, Chen, Luonan. Self-organizing map approaches for the haplotype assembly problem. MATHEMATICS AND COMPUTERS IN SIMULATION[J]. 2009, 79(10): 3026-3037, http://dx.doi.org/10.1016/j.matcom.2009.01.021.
[62] Huang, WanTing, Yang, Xiaorong, Zhou, Xiaobo, Monzon, Federico A, Wen, Jianguo, Hagenkord, Jill M, Wu, LingYun, KeeverTaylor, Carolyn, NovoaTakara, Louis, Wong, Stephen T C, Young, Kenneth, Chang, ChungChe. Multiple distinct clones may co-exist in different lineages in myelodysplastic syndromes. LEUKEMIA RESEARCH[J]. 2009, 33(6): 847-853, http://dx.doi.org/10.1016/j.leukres.2008.10.008.
[63] Yang, Xiaorong, Zhou, Xiaobo, Huang, WanTing, Wu, Lingyun, Monzon, Federico A, Chang, ChungChe, Wong, Stephen T C. Pattern-Selection Based Power Analysis and Discrimination of Low- and High-Grade Myelodysplastic Syndromes Study Using SNP Arrays. PLOS ONE[J]. 2009, 4(4): http://dx.doi.org/10.1371/journal.pone.0005054.
[64] Wu, LingYun, Zhou, Xiaobo, Li, Fuhai, Yang, Xiaorong, Chang, ChungChe, Wong, Stephen T C. Conditional random pattern algorithm for LOH inference and segmentation. BIOINFORMATICS[J]. 2009, 25(1): 61-67, https://www.webofscience.com/wos/woscc/full-record/WOS:000261996400010.
[65] Wu LingYun, Zhang JiHong, Chan Raymond, Zhang XS, Chen L, Wu LY, Wang Y. Improved Approach for Haplotype Inference Based on Markov Chain. OPTIMIZATIONANDSYSTEMSBIOLOGYPROCEEDINGSnull. 2008, 9: 212-+, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000264181700028.
[66] Liu, ZhiPing, Wu, LingYun, Wang, Yong, Zhang, XiangSun, Chen, Luonan. Analysis of protein surface patterns by pocket similarity network. PROTEIN AND PEPTIDE LETTERS[J]. 2008, 15(5): 448-455, http://www.corc.org.cn/handle/1471x/2348992.
[67] Zhang, JiHong, Wu, LingYun, Chen, Jian, Zhang, XiangSun. A fast haplotype inference method for large population genotype data. COMPUTATIONAL STATISTICS & DATA ANALYSIS[J]. 2008, 52(11): 4891-4902, http://dx.doi.org/10.1016/j.csda.2008.04.004.
[68] Liu, ZhiPing, Wu, LingYun, Wang, Yong, Zhang, XiangSun, Chen, Luonan. Bridging protein local structures and protein functions. AMINO ACIDS[J]. 2008, 35(3): 627-650, http://www.corc.org.cn/handle/1471x/2349308.
[69] Liu ZhiPing, Wu LingYun, Wang Yong, Zhang XiangSun, Chen Luonan, Zhang XS, Chen LN, Wu LY, Wang Y. An approach for clustering protein pockets into similar groups. OPTIMIZATION AND SYSTEMS BIOLOGYnull. 2007, 7: 204-+, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000250141900024.
[70] Liu ZhiPing, Wu LingYun, Wang Yong, Zhang XiangSun, Chen Luonan, Zhang XS, Chen LN, Wu LY, Wang Y. An approach for clustering protein pockets into similar groups. OPTIMIZATION AND SYSTEMS BIOLOGYnull. 2007, 7: 204-+, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000250141900024.
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发表著作
(1) Proceedings of 12th International Symposium on Operations Research and Its Applications, IET, 2015-08, 第 3 作者

指导学生

已指导学生

孙端辰  博士研究生  070105-运筹学与控制论  

赵越  博士研究生  070105-运筹学与控制论  

张国维  博士研究生  1201Z1-管理运筹学  

黄孝鹏  博士研究生  070105-运筹学与控制论  

李淼  硕士研究生  070105-运筹学与控制论  

叶心函  硕士研究生  070105-运筹学与控制论  

高永航  硕士研究生  070105-运筹学与控制论  

王旭  博士研究生  1201Z1-管理运筹学  

彭鑫  博士研究生  070105-运筹学与控制论  

现指导学生

冷嘉承  博士研究生  070105-运筹学与控制论  

侯智超  硕士研究生  070105-运筹学与控制论  

于嘉汀  博士研究生  070105-运筹学与控制论  

蔡仁杰  硕士研究生  070105-运筹学与控制论  

高永航  博士研究生  070105-运筹学与控制论  

任涛  博士研究生  070105-运筹学与控制论  

张瑞扬  硕士研究生  070105-运筹学与控制论  

季泉宇  硕士研究生  070105-运筹学与控制论