西安电子科技大学计算机科学与技术学院导师教师师资介绍简介-马小科

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基本信息
姓名：马小科职位：教授
　华山****＂菁英人才＂
导师类型：博士生导师
硕士生导师
博士学科：计算机科学与技术
硕士学科：计算机科学与技术
工作单位：计算机科学与技术学院

联系方式
通信地址：西安市太白南路2号西安电子科技大学163信箱
电子邮箱： xkma@xidian.edu.cn
办公电话：
办公地点：北校区主楼II区220

个人简介
马小科，教授，博士/硕士生导师，九三学社社员，分别于2005年、2008年和2012年获得信息与计算科学理学学士、计算机软件与理论工学硕士、计算机应用技术工学博士学位。2015年全职回国工作，2016年破格副教授，2017年被遴选为硕士生导师，2018年被遴选为博士生导师，2019年破格教授。
2019年7月 -- 至今，西安电子科技大学，教授（年限破格）
2016年7月 -- 2019年6月，西安电子科技大学，副教授（年限破格）
2015年6月 -- 2016年6月，西安电子科技大学，讲师
2012年4月 -- 2015年5月，爱荷华大学(美国)，博士后
2008年8月 -- 2012年3月，西安电子科技大学，博士
主要从事数据挖掘、机器学习、医学影像处理、生物信息学等领域的研究工作。在国际期刊 PNAS、IEEE TKDE、IEEE CYB、ACM TKDD、Pattern Recognition、Cell Stem Cell、Bioinformatics、PLoS Computational Biology等发表SCI检索的论文70多篇，其中第一作者/通信作者论文60余篇, 中科院一区/CCF A类期刊论文20多篇，中科院二区/CCF B类论文40多篇、IEEE/ACM 会刊14篇，单篇最高影响因子23.96。Google Scholar统计引用2000余次，其中SCI引用1000多次，被美国科学院院士、图灵奖获得者引用与积极评价，被Physics Reports(影响因子：23.79)、Nature Review Genetics(影响因子:42.19)长篇引用。担任IEEE PAMI、TKDE等10多个国际期刊的审稿人、CCF生物信息学专委会委员、CCF医学数据挖掘专委会委员、人工智能学会青年工作委员会委员等职务。
主持国家自然科学基金面上项目、青年基金、陕西省重点研发、省市自然科学基金等项目20余项，参与国家自然科学基金重大、重点项目3项，获中国电子学会科技技术奖二等奖一项、陕西省优秀博士毕业论文奖、入选首届华山****菁英人才计划。

主要研究方向
1．数据挖掘与机器学习
图数据挖掘算法与理论
低秩稀疏矩阵分解算法
机器学习（统计学习、深度学习、迁移学习）
2. 图像处理
智能图像与视频分析
影像精准分割与识别
影像基因组学
3．生物信息学
二代/三代测序数据分析
多组学数据集成分析与应用

科学研究
主持项目：
[1] 国家自然科学基金面上项目编号：** 2018.01--2021.12
[2] 国家自然科学基金面上项目编号：** 2017.01--2020.12 (Co-PI)
[3] 国家自然科学基金青年基金编号：** 2016.01--2018.12
[4] 陕西省留学人员科技活动择优资助项目(优秀类) 编号：** 2019.01-2020.12
[5] 陕西省自然科学基金编号：2019JM-240 2019.01--2020.12
[6] 陕西省自然科学基金编号：2016JQ6044 2016.01--2017.12
[7] 宁波市自然科学基金编号：2018A610048 2019.01--2020.12
[8] 宁波市自然科学基金编号：2016A610034 2016.01--2017.12
[9] 国家重点实验室开放课题编号：KFKT2020B14 2020.06--2022.05
[10] 教育部重点实验室开放课题编号：KFKT202009 2020.06--2021.05
[11] 中央高校科研基本业务费编号：JB180304 2018.01--2019.12
[12] 中央高校科研基本业务费编号：JB160306 2016.01--2017.12
[13] 华山****菁英人才计划基金 2015.06--2019.06
[14] 横向课题：北斗精确定位算法与融媒体 2020.06-2022.05
[15] 横向课题：油田大数据智能挖掘算法与平台 2021.01-2023.12
参与项目：
[1] 国家自然科学基金重点项目编号：** 2016.01--2020.12 主要参与人
[2] 国家自然科学基金重大研究计划培育项目编号：** 2012.01--2016.12 主要参与人
[3] 国家自然科学基金面上项目编号：** 2017.01--2020.12 第一参与人
[4] 国家自然科学基金面上项目编号：** 2012.01--2016.12 主要参与人
[5] 国家自然科学基金面上项目编号：** 2011.01--2014.12 主要参与人

学术论文
在国际著名期刊PNAS、IEEE CYB、IEEE TKDE、Pattern Recognition、Cell Stem Cell、Bioinformatics、PLoS Computational Biology等发表SCI检索的论文70多篇，其中第一作者/通信作者论文60多篇。
部分发表论文与专著：
《数据挖掘基础及其应用》，马小科编著，ISBN：10, 2020-10
2020年（*为通信作者）
[1] Fengyin Li, Xin Zhao, Yali Zhang, Peng Shao, Xiaoke Ma, William J. Paradeeg, Chengyu Liuh, Jianmin Wangd, and Hai-Hui Xue*. TFH cells depend on Tcf1-intrinsic HDAC activity to suppress CTLA4 and guard B-cell help function. PNAS. 118(2):e. 2021. 中科院一区，IF=9.98 国际顶级期刊
[2] Wenming Wu, Zaiyi Liu, Xiaoke Ma*. jSRC: a flexible and accurate joint learning algorithm for clustering of single-cell RNA-sequencing data. Briefings in Bioinformatics. DOI.10.1093/bib/bbaa433. 2021. 中科院一区，IF=9.10 生物信息学著名期刊
[3] Wenming Wu, Xiaoke Ma*. Joint learning dimension reduction and clustering of single-cell RNA-sequencing data. Bioinformatics. 36(12):3825-3832. 2020 中科院一区, IF=5.96. 生物信息学著名期刊
[4] Changzhou Ma, Qiang Lin, Yong Lin, Xiaoke Ma*. Identification of multi-layer networks community by fusing nonnegative matrix factorization and topological structure information. Knowledge-Based Systems. 213:106666. 2021 中科院一区, IF=5.96
[5] Dongyuan Li, Qiang Lin,Xiaoke Ma*. Identification of dynamic community in temporal network via joint learning graph representation and nonnegative matrix factorization. Neurocomputing. 435:77--90. 2021 中科院二区, IF=4.65
[6] Benhui Zhang, Maoguo Gong, Jianbing Huang, Xiaoke Ma*. Clustering Heterogeneous Information Network by joint Graph Embedding and Nonnegative Matrix Factorization. ACM Transactions on Knowledge Discovery from Data. Accepted. 数据挖掘著名期刊
[7] Xiaoke Ma*, Benhui Zhang, Changzhou Ma, Zhiyu Ma. Co-regularized nonnegative matrix factorization for evolving community detection in dynamic networks. Information Sciences. 528:265--279. 2020 中科院一区, IF=5.99
[8] Zhihao Huang, Xiaoxiong Zhong, Qiang Wang, Maoguo Gong, Xiaoke Ma*. Detecting community in attributed networks by dynamically exploring node attributes and topological structure. Knowledge-Based Systems. 196:105760. 2020 中科院一区, IF=5.96
[9] Xiaoke Ma*, Penggang Sun, Maoguo Gong. An integrative framework of heterogeneous genomic data for cancer dynamic modules based on matrix decomposition. IEEE/ACM Transactions on Computational Biology and Bioinformatics. DOI 10.1109/TCBB.2020.**. 2020 中科院二区, IF=3.89
[10] Yan Wang; Zuheng Xia; Jingjing Deng; Xianghua Xie; Maoguo Gong; Xiaoke Ma*. TLGP: A Flexible Transfer Learning Algorithm for Gene Prioritization based on Heterogeneous Source Domain. BMC Bioinformatics. Accepted. 中科院三区
[11] Shiyin Tan, Xiaoke Ma*. SeHNE: Semi-supervised Heterogeneous Network Embedding for Drug Combination. IEEE conference on Bioinformatics and Biomedicine (IEEE BIBM). accepted, 2020. CCF B类会议
[12] Zijie Li, Xiaoke Ma*. Discovering Cell Types by Integrating Single-cell RNA-sequencing and protein interaction network. IEEE conference on Bioinformatics and Biomedicine (IEEE BIBM). accepted, 2020. CCF B类会议
[13] Yanni Li, Bing Liu, Zhi Wang, Jiangtao Cui, Kaicheng Yao, Pengfan Lv, Yulong Shen, Yuesheng Xu, Yuanfang Guan and Xiaoke Ma, COVID-19 Envolves in Human Hosts, SIGKDD, 2020 CCF A类会议
[14] Yong Lin, Xiaoke Ma*. Predicting lincRNA-disease association in heterogeneous networks using co-regularized nonnegative matrix factorization. Frontiers in Genetics. 11:622234. 2020. 中科院三区
[15] Dongyuan Li, Maoguo Gong, Xiaoke Ma*. Joint Learning of Feature Extraction and Clustering for Large-scale Temporal Networks. IEEE Transactions on Cybernetics. 2revsion. 中科院一区, IF=11.09
[16] Wenming Wu, Xiaoke Ma*. SLNMF: a network-based algorithm for the identification of cell types and trajectory from single-cell RNA-seq data. Bioinformatics. 2revision 中科院一区, IF=5.96
[17] Dongyuan Li, Xiaoke Ma*. Dynamic Module Detection in Temporal Attributed Networks of cancers. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2revsion. 中科院二区, IF=3.89
[18] Benhui Zhang, Xiaoke Ma*. Multi-view clustering with constrained bipartite graph in embedding space. In submission.
[19] Zhihao Huang, Xiaoke Ma*. Embedding regularized nonnegative matrix factorization for structural reduction in multi-layer networks. In submission.
[20] Yan Wang, Xiaoke Ma*. Joint nonnegative matrix factorization and network embedding for graph co-clustering. In submission.
[21] Shiyin Tan, Xiaoke Ma*. joint feature extraction and multi-label learning for temporal link prediction. In submission.
2019年
[1] Xiaoke Ma*，Di Dong, Quan Wang. Community detection in multi-layer networks using joint nonnegative matrix factorization. IEEE Transactions on Knowledeg and Data Engineering. 31(2):273-286. 2019 CCF A, IF=4.89 数据挖掘顶级期刊
[2] Xiaoke Ma*, Penggang Sun, Zhong-Yuan Zhang. An integrative framework for protein interaction and methylation data to discover epigenetic modules. IEEE/ACM Transaction Computational Biology and Bioinformatics. 16(6): 1855--1866 中科院二区，CCF B, IF=3.98
[3] Jianbang Zhao, Xiaoke Ma*. Multiple partial regularized nonnegative matrix factorization for predicting ontological functions of lncRNAs. Frontiers in Genetics. 9:685. 2019. 中科院三区，IF=4.21
[4] Xiaoke Ma*，Dongyuan Li, Shiyin Tan, Zhihao Huang. Detecting evolving communities in dynamic networks using graph regularized evolutionary nonnegative matrix factorization. Physica a. 530:121279. 中科院二区，IF=2.50
[5] Xiaoke Ma*, Shiyin Tan, Dongyuan Li, Wenming Wu, Penggang Sun, Maoguo Gong. An integrative framework of heterogeneous genomic data for cancer dynamic modules based on matrix decomposition. BMC Genomics. Accepted. 中科院II区，IF=4.14
[6] Dongyuan Li, Xiaoke Ma*. Nonnegative matrix factorization for dynamic modules in cancer temporal networks. IEEE conference on Bioinformatics and Biomedicine (IEEE BIBM). pp. 201-205, 2019. CCF B
[7] Zuheng Xia, Xiaoke Ma*. Transfer learning for gene prioritization. IEEE conference on Bioinformatics and Biomedicine (IEEE BIBM). pp. 1787-1791, 2019. CCF B
[8] Tengteng Yu, Chenxing Du, Zhen Yu, Lanting Liu, Zhao Lei, Zhongqing Li, Jie Xu, Xiaojing Wei, Shuhui Deng, Dehui Zou, Gang An, Yu-Tzu Tai, Guido Tricot, Xiaoke Ma*, Lugui Qiu*, Fenghuang Zhan*, Mu Hao*. PHF19 Promotes Drug Resistance via Increased EZH2 Phosphorylation in Multiple Myeloma. Molecular Cancer Research, 18(7):0852. 2019. 中科院二区

2018年
[1] Long Gao, Uzun Yasin, Peng Gao, Bing He, Xiaoke Ma, Jiahui Wang, Jindong Han, Kai Tan. Identifying noncoding risk variants using disease-relevant regulatory networks. Nature Communications. 8:702, 2018 中科院一区，IF=12.14
[2] Xiaoke Ma*, Wanxin Tang, et al. Extracting stage-specific and dynamic modules through analyzing multiple networks associated with cancer progression. IEEE/ACM Transaction Computational Biology and Bioinformatics. 15(8):647--658, 2018 中科院二区，CCF B, IF=3.98, ESI高被引
[3] Xiaoke Ma*, Penggang Sun, Guimin Qin. Identifying condition-specific modules by clustering multiple networks. IEEE/ACM Transactions Computational Biology and Bioinformatics. 15(5):1636-1648, 2018 中科院二区，CCF B, IF=3.98
[4] Xiaoke Ma*, Bingbo Wang, Liang Yu. Semi-supervised spectral algorithms for community detection in complex networks based on equivalence of clustering methods. Physica a. 490:786--802, 2018 中科院二区，IF=2.48
[5] Xiaoke Ma*, Penggang Sun, Yu Wang. Graph regularized nonnegative matrix factorization for temporal link prediction in dynamic networks. Physica a. 496:121--136, 2018 中科院二区，IF=2.48
[6] Xiaoke Ma*, Penggang Sun. Fusing heterogeneous genomic data to discover cancer progression related dynamic modules. IEEE conference on Bioinformatics and Biomedicine (IEEE BIBM). pp. 114-121, 2018. CCF B
[7] Enli Zhang, Xiaoke Ma*. Regularized multi-view subspace clustering for common modules across cancer stages. Molecules. 23, 1016. 中科院III区，IF=3.42
[8] 付立东，马小科*. 进化谱分算法检测动态网络社团结构. 西安电子科技大学学报. 45(2): 43-48. 2018 EI
2017年
[1] Xiaoke Ma*，Di Dong. Evolutionary Nonnegative Matrix Factorization Algorithms for Community Detection in Dynamic Networks. IEEE Trans. Know. & Data. Eng. 29(5)1045-1058. CCF A, IF=4.89 数据挖掘顶级期刊
[2] Fengyin Li, Bing He, Xiaoke Ma, Shuyang Yu, Rupali R. Bhave, Steven R. Lentz, Kai Tan, Monica L. Guzman, Chen Zhao, Hai-Hui Xue. Prostaglandin E1 and Its Analog Misoprostol Inhibit Human CML Stem Cell Self-Renewal via EP4 Receptor Activation and Repression of AP-1. Cell Stem Cell. 21(2017)1--15 中科院一区，IF=23.96 封面论文 Cell出版社评价“最透明”与“最具同行评议”论文
[3] Xiaoke Ma*, Penggang Sun, Guimin Qin. Nonnegative matrix factorization algorithms for link prediction in temporal networks using graph communicability. Pattern Recognition. 71(2017)361-374. 中科院一区, IF=7.32 模式识别顶级期刊
[4] Penggang Sun, Xiaoke Ma*. Dominating communities for hierarchical control of complex networks. Information Sciences. 414(2017)247--259. 中科院一区, IF=5.99
[5]Wanxin Tang，Dongmei Zhang, Xiaoke Ma*. RNA-Sequencing Reveals Genome-Wide Long Non-coding RNAs Profiling Associated with Early Development of Diabetic Nephropathy. Oncotarget. 8（62）105832--105847 中科院I区，IF=5.96
[6] Xiaoke Ma, Zaiyi Liu, Zhongyuan Zhang, Xiaotai Huang, Wanxin Tang*. Multiple network algorithm for epigenetic modules via the integration of genome-wide DNA methylation and gene expression data. BMC Bioinformatics. 1:18 中科院二区，IF=2.67
[7] Penggang Sun, Xiaoke Ma*. Understanding the controllability of complex networks from the microcosmic to the macrocosmic. New Journal of Physics. 19: 013022 中科院二区，IF=3.69
[8] Penggang Sun, Xiaoke Ma*. Controllability and observability of cascading failure networks. Journal of Statistical Mechanics: Theory and Experiment. 2017:043404 中科院二区，IF=2.49
[9] Peizhuo Wang, Lin Gao, Xiaoke Ma*. Dynamic community detection based on network structural perturbation and topological similarity. Journal of Statistical Mechanics: Theory and Experiment. 2017:013401 中科院二区，IF=2.49
[10] Penggang Sun, Xiaoke Ma*. Understanding control of network spreading from network controllability. Journal of Statistical Mechanics: Theory and Experiment. 2017:093405 中科院二区，IF=2.49
[11] Xiaoke Ma*, Peizhuo Wang, Liang Yu, Xiaofei Yang. Discovering DNA methylation patterns for longnon-coding RNAs associated with cancer subtypes. Computional Biology and Chemistry. 69:164--170 中科院III区，IF=1.67 APBC2017推荐
[12] Penggang Sun, Xiaoke Ma*. Dominating complex networks by identifying minimum skeletons. Chaos, Solitons and Fractals. 104:182--191.中科院四区，IF=1.45
[13] Xiaoke Ma*, Penggang Sun, Jianbang Zhao. Multi-objective optimization algorithm to discover condition-specific modules in multiple networks. Molecules. 22, 2228.中科院三区，IF=3.40
2016-2013年
[1] Xiaoke Ma, Long Gao, Georgios Karamanlidis, et al. Revealing Pathway Dynamics in Heart Diseases by Analyzing Multiple Differential Networks. PLoS Computational Biology. 2015: e**. 中科院一区, IF=6.32 数据挖掘顶级期刊
[2] Xiaoke Ma, Long Gao, Kai Tan. Modeling disease progression using dynamics of pathway connectivity. Bioinformatics. 2014, 30:2343--2350 中科院一区，CCF B, IF=5.99 数据挖掘顶级期刊
[3] Xingli Guo, Lin Gao, Qi Liao, Hui Xiao, Xiaoke Ma, Xiaofei Yang, Haitao Luo, Guoguang Zhao, Dechao Bu, Fei Jiao, Qixiang Shao, RunSheng Chen* and Yi Zhao. Long non-coding RNAs function annotation: a global prediction method based on bi-colored networks. Nuclear Acids Research. 2013, 41:e35. 中科院一区， IF=11.14
[4]Feng Li,Lin Gao, Xiaoke Ma, Xiaofei Yang. Detection of driver pathways using mutated gene network in cancer. Molecular BioSystem. 2016, 中科院III区，IF=3.29
[5] Liang Yu, Bingbo Wang, Xiaoke Ma, Lin Gao. The extraction of drug-disease correlations based on module distance in incomplete human interactome. BMC Systems Biology, 2016, 10(Suppl 4):111 中科院三区，IF=2.33
[6] Liang Yu, Xiaoke Ma, Long Zhang, Jing Zhao, Lin Gao. Prediction of new drug indications based on clinical data and network modularity. Scientific Reports. 2016, 6:32530 中科院三区，IF=4.33
2012-2010年
[1] Xiaoke Ma*, Lin Gao. Predicting protein complexes in protein interaction networks using a core-attachment algorithm based on graph communicability. Information Sciences. 2012, 189:233--254. 中科院一区, IF=5.99
[2] Xiaoke Ma，Lin Gao*. Biological network analysis: insights into structure and functions. Briefings in Functional Genomics. 2012, 6:434--442. 中科院二区，IF=4.26
[3] Xiaoke Ma, Lin Gao*. Discovering protein complexes in protein interaction networks via exploring the weak ties effect. BMC Systems Biology. 2012, 6(Suppl 1):S6. 中科院三区，IF=2.33
[4] 付立东，高琳，马小科. 基于社团检测的复杂网络中心性方法. 中国科学：信息科学，42(5)：550-560. 2012. 中科院一区，CCF A类
[5] Xiaoke Ma*. Lin Gao. Detecting protein complexes in PPI networks: The roles of interactions. IEEE International Conference on Systems Biology. pp. 52-59 2011.
[6] Xiaoke Ma*，Lin Gao. Non-traditional spectral clustering algorithms for the detection of community structure in complex networks: a comparative analysis. Journal of Statistical Mechanics: Theory and Experiment. 2011:P05012 中科院二区，IF=2.49
[7] Xiaoke Ma*, Lin Gao, Xuerong Yong, Lidong Fu. Semi-supervised clustering algorithm for community structure detection in complex networks. Physica A. 2010, 389:187--197. 中科院二区，IF=2.48
[8] Xiaoke Ma*, Lin Gao, Xuerong Yong. Eigenspaces of networks reveal the overlapping and hierarchical community structure more precisely. Journal of Statistical Mechanics: Theory and Experiment. 2010:P08012 中科院二区，IF=2.49
[9] Lidong Fu, Lin Gao, Xiaoke Ma. A centrality measure based on the spectral optimization of modularity density. Sciences in China Series F. 2010, 53:1727--1737. 中科院一区，IF=4.37

荣誉获奖
[1] 2014首届华山****菁英人才计划
[2] 2014西电优秀科研成果奖一等奖
[3] 2015中国电子学会科学技术奖（自然科学类）二等奖
[4] 2016西安电子科技大学优秀博士毕业论文
[5] 2016陕西省优秀博士毕业论文
[6] 2018陕西省留学人员科技活动择优资助（优秀类资助项目）
[7] 2020年西安电子科技大学优秀教师

科研团队
机器学习与医学应用
马小科教授
孙鹏岗副教授
王屿副教授
博士研究生
2019级： 吴文铭
2020级： 王海月
硕士研究生
2018级：李东远（国家奖学金），张本辉（联合指导、国家奖学金），马长洲，谭诗吟，马志宇（联合指导）
2019级：黄志豪（国家奖学金），冯宇，李子杰，卢浩，赵伟
2020级：高晓伟，宋飞，张筠瑶，贾文涛（广州研究院），滑振鹏（广州研究院），杨丹（广州研究院）
，

课程教学
本科生教学
数据挖掘（双语）
概率论与数理统计
研究生教学
机器学习
生物信息学

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4）欢迎跨专业（数学、生物、医学相关）报考。
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