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白璐

[发表时间]:2015-09-11 [来源]: [浏览次数]:

基本资料

姓名:白璐(Dr.Lu Bai, UoY)

系别:计算机系

职称:讲师

I.英文简介

I (Lu Bai) receivedthe Ph.D. degree from the University of York, York, UK, in 24th January of 2015.My Ph.D supervisor is Prof. Edwin R. Hancock, who is a holder of the "RoyalSociety Wolfson Research Merit Award". The title of my Ph.D thesis is"Information Theoretic Graph Kernels". After I received the Ph.Ddegree, I was granted "the 2014 National Award for OutstandingSelf-financed Chinese Students Study Aboard" by China Scholarship, inApril of 2015. I am now an Assistant Professor in School of Information,Central University of Finance and Economics, Beijing, China. I am a member ofChina Computer Federation (CCF), Association for Computing Machinery (ACM), andBritish Machine Vision Association and Society for Pattern Recognition (BMVA),respectively. My current research interests include structural patternrecognition, machine learning, quantum walks on networks, and graph matching,especially in kernel methods and complexity analysis on (hyper)graphs andnetworks. By May 2017, I have published more than 50 academic papers, including"Pattern Recognition", "Journal of Mathematical Imaging andVision", "Pattern Recognition Letters", ICML, IJCAI, ECML-PKDD,ICPR, etc. In September of 2015, I was grant "Caianello Award" forthe best paper of the international conference ICIAP 2015. From 2016 to 2018, Iwill host a research project about "Research on Financial Analysis byLearning from Graph-Based Kernel Machines". This project is supported byNational Natural Science Foundation of China.

II.中文简介

教育背景:

2010年10月--2015年1月,英国约克大学(University of York,UK),计算机系,博士(国家优秀自费留学生奖);

博士论文:InformationTheoretic Graph Kernels;

导师:Edwin R. Hancock教授。

工作经历:

2015年3月至今,中央财经大学,信息学院计算机系

主要讲授课程:

数据结构、物理、计算机算法导论、人工智能

所获奖励:

1、2017年1月,“校院两级年度考核优秀”,中央财经大学信息学院;

2、2017年1月,“信息学院科研之星”,中央财经大学信息学院;

3、2015年4月,“国家优秀自费留学生奖”,国家留学基金委,英国使馆区约30人;

4、2015年9月,EduardoCaeineillo奖”,国际模式识别学会,详见IAPR News 2016年10月刊“下一代学者专栏”:http://www.iapr.org/docs/newsletter-2016-04.pdf;

5、2013年2月,BMVA奖”,英国机器视觉协会

主要研究领域:

机器学习与模式识别,包括:图核函数(GraphKernels)、量子游走(QuantumWalks)、复杂网络(ComplexNetworks)、金融时间序列(FinancialTime Series)、特征选取(Feature Selection)

主要会员身份:

1中国计算机学会CCF会员;2美国计算机学会ACM会员;3英国机器视觉协会BMVC会员;4中国图象图形学会会员

学术兼职:

1国家自然科学基金项目通讯评审专家;2国际顶级、重要期刊IEEETransactions On Neural Network and Learning Systems、IEEETransactions on Very Large Scale Integration Systems、PatternRecognition Letters、Journal of Mathematical Imaging andVision审稿人;3国际顶级、重要会议NIPS、BMVC、ICPR审稿人

主持项目

1、国家自然科学基金项目,基于图核机器的学习算法及其在金融分析理论的研究,2016年- 2018年;

2、中国科学院自动化所,模式识别国家重点实验室开放课题项目,2016年- 2017年;

3、中央财经大学第四批青年科研创新创新团队项目,2017年- 2020年

主要研究成果:

目前已在国际顶级或重要期刊、会议发表论文50余篇。其中以第一作者身份在中科院二区(JCRQ1区)期刊《PatternRecognition》上发表四篇,该期刊属于具有重要国际学术影响的顶级期刊,影响因子为3.399;中科院三区(JCRQ2区)期刊《Journalof Mathematical Imaging and Vision》发表论文一篇,该期刊属于国际重要期刊,影响因子:1.461;中科院三区(JCRQ2区)期刊《PatternRecognition Letters》发表论文一篇,该期刊属于国际重要期刊,影响因子:1.586。其它国际会议论文包括第一作者发表“教育部A类期刊(会议)”列表InternationalConference on Machine Learning (ICML)与InternationalJoint Conference on Artificial Intelligence (IJCAI)各一篇,ICML与IJCAI均属于国际上负有盛名的顶级会议(CCF评语,国际上极少数的顶级期刊或会议,鼓励我国学者突破),其学术影响力等同于A类或JCR一区SCI顶级期刊;B类国际顶级会议EuropeanConference on Machine Learning (ECML)一篇,该会议是机器学习领域仅次于ICML的会议(CCF评语,国际上具有重要学术影响的期刊或会议,鼓励我国学者投稿);C类国际重要会议InternationalConference on Pattern Recognition (ICPR)九篇,ICPR是世界模式识别领域规模最大的学术会议。其他国际重要会议论文还包括CAIP,ICIAP, GbRPR以及S+SSPR等。目前部分代表性已发表论文包括:

期刊论文:

注:影响因子基于2016年发布的信息

[1]Lu Bai, Francisco Escolano, and Edwin R.Hancock. Depth-based Hypergraph Complexity Traces from Directed Lline Graphs.PatternRecognition, 2016. (SCI检索;Q1区;中科院二区;CCFB类;影响因子:3.399)

[2]Lu Bai, and Edwin R. Hancock. FastDepth-based Subgraph Kernels for Unattributed Graphs.Pattern Recognition,2016. (SCI检索;Q1区;中科院二区;CCFB类;影响因子:3.399)

[3]Lu Bai, Luca Rossi, Lixin Cui, ZhihongZhang, Peng Ren, Xiao Bai, Edwin R. Hancock, Quantum Kernels for UnattributedGraphs using Discrete-time Quantum Walks,Pattern Recognition Letters,2017 (SCI检索;Q2区;中科院三区;影响因子:1.586)

[4]Lu Bai, Luca Rossi, Andrea Torsello andEdwin R. Hancock. A Quantum Jensen-Shannon Graph Kernel for UnattributedGraphs.Pattern Recognition, 2015. (SCI检索;Q1区;中科院二区;CCFB类;影响因子:3.399)

[5]Lu Baiand Edwin R. Hancock. Depth-BasedComplexity Traces of Graphs.Pattern Recognition, 2014. (SCI检索;Q1区;中科院二区;CCFB类;影响因子:3.399)

[6]Lu Baiand Edwin R. Hancock. GraphKernels from the Jensen-Shannon Divergence.Journal of Mathematical Imagingand Vision, 2013. (SCI检索;Q1区;中科院三区,影响因子:1.461)

[7] Xiao Bai, Yan Chenm,Lu Bai, Jun Zhou,Edwin R. Hancock. Adaptive Hash Retrieval with Kernel Based Similarity. PatternRecognition, 2016. (SCI检索;Q1区;中科院二区;CCFB类;影响因子:3.399)

[8] Zhihong Zhang,Lu Bai (通讯作者),Edwin R. Hancock Joint Hypergraph Learning and Sparse Regression for FeatureSelection,Pattern Recognition, 2017. (SCI检索;Q1区;中科院二区;CCFB类;影响因子:3.399)

[9] Zhihong Zhang, Yuanheng Liang,Lu Bai (通讯作者),Edwin R. Hancock, High-order Covariate Interacted Lasso for Feature Selection,PatternRecognition Letters, 2017 (SCI检索;Q2区;中科院三区;影响因子:1.586)

[10] Haichuan Yang, Xiao Bai, Yanzhen Liu, YanyangWang,Lu Bai, Jun Zhou. Maximum margin hashing with supervisedinformation,Multimedia Tools and Applications, 2016 (SCI检索;影响因子:1.331)

[11] Zhihong Zhang, Yuanheng Liang,Lu Bai,Edwin R. Hancock. Discriminative sparse representation for face recognition,MultimediaTools and Applications, 2016 (SCI检索;影响因子:1.331)

[12] Zhihong Zhang,Lu Bai, Peng Ren, EdwinR. Hancock. High-order graph matching kernel for early carcinoma EUS imageclassification,Multimedia Tools and Applications, 2016 (SCI检索;影响因子:1.331)

[13] Xiao Bai, Cheng Yan, Peng Ren,Lu Bai,Jun Zhou. Discriminative sparse neighbor coding,Multimedia Tools and Applications,2016 (SCI检索;影响因子:1.331)

[14] Cheng Yan, Xiao Bai, Peng Ren,Lu Bai, WenzhongTang, Jun Zhou, Band Weighting via Maximizing Interclass Distance forHyperspectral Image Classification,IEEE Geoscience and Remote SensingLetters, 2016 (SCI检索;Q1区;中科院三区;影响因子:2.228)

会议论文:

[1]Lu Bai, Luca Rossi, Zhihong Zhang, andEdwin R. Hancock. An Aligned Subtree Kernel on Weighted Graphs. In ProceedingsofInternational Conference on Machine Learning (ICML), 2015. (oral, EI检索;CCFA类国际顶级;教育部“A类期刊(会议)”列表)

[2]Lu Bai, Zhihong Zhang, Chaoyan Wang, XiaoBai, and Edwin R. Hancock. A Graph Kernel based on the Jensen-ShannonRepresentation Alignment . In Proceedings ofInternational Joint Conferenceon Artificial Intelligence (IJCAI), 2015. (oral, EI检索;CCFA类国际顶级;教育部“A类期刊(会议)”列表)

[3]Lu Bai, Luca Rossi, Lixin Cui, Edwin R.Hancock. A Nested Alignment Graph Kernel through the Dynamic Time WarpingFramework.In Proceedings of IAPR-TC-15 International in Pattern Recognition(GbRPR), 2017. (oral, EI检索)

[4] Lixin Cui,Lu Bai(通讯作者),Luca Rossi, Edwin R. Hancock. Adaptive Feature Selection based on the MostInformative Graph-based Features. In Proceedings of IAPR-TC-15 International inPattern Recognition (GbRPR), 2017. (oral, EI检索)

[5] Lixin Cui,Lu Bai(通讯作者),Yue Wang, Xiao Bai, Edwin R. Hancock. P2P Lending Analysis Using the MostRelevant Graph-Based Features. In Proceedings of Joint IAPR InternationalWorkshops on Structural and Syntactic Pattern Recognition and StatisticalTechniques in Pattern Recognition (S+SSPR), 2016. (oral, EI检索)

[6] Yue Wang,Lu Bai, Link Prediction viaSupervised Dynamic Network Formation, In Proceedings of InternationalConference on Pattern Recognition (ICPR), 2016. (EI检索;国家著名会议;CCF推荐)

[7]Lu Bai, Lixin Cui, Francisco Escolona,Edwin R. Hancock. An Edge-based Matching Kernel on Commute-time Spanning Trees,Proceedings of International Conference on Pattern Recognition (ICPR), 2016.(EI检索;国家著名会议;CCF推荐)

[8]Lu Bai, Luca Rossi, Lixin Cui, Edwin R.Hancock. A Transitive Aligned Weisfeiler-Lehman Subtree Kernel, In Proceedingsof International Conference on Pattern Recognition (ICPR), 2016. (EI检索;国家著名会议;CCF推荐)

[9]Lu Bai, Lixin Cui, Yue Wang, Xiao Bai,Edwin R. Hancock. Shape Classification with A Vertex Clustering Graph Kernel,Proceedings of International Conference on Pattern Recognition (ICPR), 2016.(EI检索;国家著名会议;CCF推荐)

[10]Lu Bai, Luca Rossi, Lixin Cui, Edwin R.Hancock. A Novel Entropy-based Graph Signature from the Average Mixing Matrix,In Proceedings of International Conference on Pattern Recognition (ICPR), 2016.(EI检索;国家著名会议;CCF推荐)

[11]Lu Bai, Luca Rossi, Peng Ren, ZhihongZhang, and Edwin R. Hancock. A Quantum Jensen-Shannon Graph Kernel usingDiscrete-time Quantum Walks. In Proceedings of IAPR-TC-15 International inPattern Recognition (GbRPR), 2015. (oral, EI检索)

[12]Lu Bai, Zhihong Zhang, Peng Ren, LucaRossi, and Edwin R. Hancock. An Edge-based Matching Kernel throughDiscrete-time Quantum Walks. In Proceedings of International Conference onImage Analysis and Processing (ICIAP), 2015. (oral,EI检索;IAPR"Eduardo Caianiello"最佳论文奖BestPaper Award)

[13]Lu Bai, Zhihong Zhang, Chaoyan Wang, andEdwin R. Hancock. An Edge-based Matching Kernel through the Directed LineGraphs. In Proceedings of International Conference on Computer Analysis ofImages and Patterns (CAIP), 2015. (oral,EI检索)

[14]Lu Bai, Zhihong Zhang, Peng Ren, andEdwin R. Hancock. A High-order Depth-based Matching Method for Graphs. InProceedings of International Conference on Computer Analysis of Images andPatterns (CAIP), 2015. (EI检索)

[15] Zhihong Zhang,Lu Bai(通讯作者),and Edwin R. Hancock. Unsupervised Feature Selection by Graph Optimization. InProceedings of International Conference on Image Analysis and Processing(ICIAP), 2015. (EI检索)

[16] Zhihong Zhang,Lu Bai(通讯作者),Yuanheng Liang, and Edwin R. Hancock. Adaptive Graph Learning for UnsupervisedFeature Selection. In Proceedings of International Conference on ComputerAnalysis of Images and Patterns (CAIP), 2015. (EI检索)

[17] Zhihong Zhang, Jianbin Xiaohou,Lu Bai(通讯作者),and Edwin R. Hancock. Coupled-feature Hypergraph Representation for FeatureSelection. In Proceedings of IAPR-TC-15 International in Pattern Recognition(GbRPR), 2015. (oral, EI检索)

[18]Lu Bai, Luca Rossi, Horst Bunke, andEdwin R. Hancock. Attributed Graph Kernels Using the Jensen-Tsallisq-Differences. In Proceedings of European Conference on Machine Learning andPrinciples and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2014.(oral, EI检索;CCFB类国际顶级)

[19]Lu Bai, and Edwin R. Hancock. A GraphKernel from the Depth-Based Representation. In Proceedings of Joint IAPRInternational Workshops on Structural and Syntactic Pattern Recognition andStatistical Techniques in Pattern Recognition (S+SSPR), 2014. (oral, EI检索)

[20] Andrea Torsello, Andrea Gasparetto, LucaRossia,Lu Bai, and Edwin R. Hancock. Transitive State Alignment for theQuantum Jensen-Shannon Kernel. In Proceedings of Joint IAPR InternationalWorkshops on Structural and Syntactic Pattern Recognition and StatisticalTechniques in Pattern Recognition (S+SSPR 2014). (oral, EI检索)

[21]Lu Bai, Horst Bunke, and Edwin R.Hancock. A Jensen-Shannon Diffusion Kernel for Attributed Graphs. Inproceedings of International Conference on Pattern Recognition (ICPR), 2014.(oral, EI检索;国家著名会议)

[22]Lu Bai, Peng Ren, and Edwin R. Hancock.A Hypergraph Kernel from Isomorphism Tests. In Proceedings of InternationalConference on Pattern Recognition (ICPR), 2014. (EI检索;国家著名会议)

[23]Lu Bai, Francisco Escolano, and Edwin R.Hancock. Depth-Based Hypergraph Complexity Traces from Directed Line Graphs. InProceedings of International Conference on Pattern Recognition (ICPR), 2014.(EI检索;国家著名会议)

[24]Lu Bai, Edwin R. Hancock, and Lin Han. AGraph Embedding Method using the Jensen-Shannon Divergence. In Proceedings ofInternational Conference on Computer Analysis of Images and Patterns (CAIP),2013. (oral, EI检索)

[25]Lu Bai, and Edwin R. Hancock. A FastJensen-Shannon Subgraph Kernel. In Proceedings of 17th International Conferenceon Image Analysis and Processing (ICIAP), 2013. (oral, EI检索)

[26]Lu Bai, Edwin R. Hancock, AndreaTorsello, and Luca Rossi. A Quantum Jensen-Shannon Graph Kernel using theContinuous-Time Quantum Walk. In Proceedings of IAPR-TC-15 International inPattern Recognition (GbRPR), 2013. (oral, EI检索)

[27]Lu Bai, and Edwin R. Hancock. GraphClustering using Graph Entropy Complexity Traces. In Proceedings ofInternational Conference on Pattern Recognition (ICPR), 2012. (EI检索;CCFC类国际重要)

[28]Lu Bai, Edwin R. Hancock, and Peng Ren.Jensen-Shannon Graph Kernel using Information Functionals. In Proceedings ofInternational Conference on Pattern Recognition (ICPR), 2012. (EI检索;CCFC类国际重要)

[29] Lin Han, Richard C. Wilson, Edwin R. Hancock,LuBai, and Peng Ren. Sampling Graphs from A Probabilistic Generative Model.In Proceedings of International Conference on Pattern Recognition (ICPR), 2012.(EI检索;CCFC类国际重要)

[30]Lu Bai, Edwin R. Hancock, and Peng Ren.A Jensen-Shannon Kernel for Hypergraphs. In Proceedings of Joint IAPRInternational Workshop on Structural, Syntactic, and Statistical PatternRecognition (S+SSPR), 2012. (oral, EI检索)

[31]Lu Bai, and Edwin R. Hancock. GraphComplexity from the Jensen-Shannon Divergence. In Proceedings of Joint IAPRInternational Workshop on Structural, Syntactic, and Statistical PatternRecognition (S+SSPR), 2012. (oral, EI检索)

[32]Lu Bai, and Edwin R. Hancock. GraphClustering Using the Jensen-Shannon Kernel. In Proceedings of 14thInternational Conference on Computer Analysis of Images and Patterns (CAIP),2011. (oral, EI检索)

联系方式:

电子邮件:bailu69@hotmail.com;bailucs@cufe.edu.cn;

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