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白璐

[发表时间]:2018-04-27 [来源]: [浏览次数]:

基本资料

姓名:白璐(Dr.Lu Bai, University of York, United Kingdom)

系别:计算机系

职称:副教授(破格、龙马学者“特聘青年学者”

教育背景:

1、2015年毕业于英国约克大学(Universityof York, UK),计算机系,哲学博士(国家优秀自费留学生奖);

博士论文:Information TheoreticGraph Kernels;答辩主席:Mário A. T. Figueiredo教授;

导师:Edwin R. Hancock教授。

2、本科、硕士均毕业于澳门科技大学,资讯科技学院,电子通讯、计算机技术专业,曾获优秀毕业论文;

硕士论文:Automatic Selectionof Fuzzy Models based on User’s Data(In English);

工作经历:

2017年11月-今,副教授(破格),中央财经大学,信息学院计算机系

2015年7月-2017年10月,讲师,中央财经大学,信息学院计算机系

2015年3月-2015年7月,讲师(实习),中央财经大学,信息学院计算机系

2008年1月-2009年10月,研究助理,澳门科技大学,资讯科技学院,智能组件系统,澳门科学基金会

主要讲授课程:

数据结构、大学物理、计算机算法导论、人工智能

所获奖励:

1、2018年8月,“BestScientific Paper”,国际模式识别学会IAPR(国际模式识别重要会议ICPR最佳PatternRecognition and Machine Learning Track论文,合作作者,6/1258);

2、2018年7月,龙马学者”特聘青年学者,中央财经大学,14人;

3、2018年1月,信息学院科研之星,中央财经大学信息学院;

4、2017年1月,校院两级年度考核优秀,中央财经大学信息学院;

5、2017年1月,信息学院科研之星,中央财经大学信息学院;

6、2016年10月,国际模式识别学会IAPR“下一代学者专栏专栏报道;

7、2015年9月,“EduardoCaianiello Award”,国际模式识别学会IAPR与意大利分会IRPRG(国际机器视觉重要会议ICIAP2015最佳论文奖,第一作者,1/234);

8、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35人;

9、2013年2月,“BMVA,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)、图卷积网络(GraphConvolutional Neural Networks)、图嵌入(Graph Embedding)、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、国际顶级、重要期刊IEEETransactions On Neural Network and Learning Systems、IEEETransactions on Very Large Scale Integration Systems、IEEETransactions on Fuzzy System、IEEE Transactions onEmerging Topics in Computational Intelligence、PatternRecognition、Neurocomputing、PatternRecognition Letters、Journal of Mathematical Imaging andVision审稿人;

2、国际顶级、重要会议NIPS、AAAI、BMVC、ICPR等审稿人、PCmember;

3、General Chair,1stICPR Workshop on Pattern Recognition in Intelligent Financial Analysis and RiskManagement (PRIFRM 2018)

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研究,2016年-2018年,27万,主持;

2、中科院自动化所,模式识别国家重点实验室开放课题项目,2016年-2017年,5万,主持,结题评优;

3、中央财经大学第四批青年科研创新团队项目,2017年- 2020年,30万,主持;

4、国家自然科学基金项目,基于图的特征选择学习算法及其在P2P借贷信用风险评估中的应用研究,2017年-2019年,26万,骨干,唯一参与人

主要研究成果:

目前已在国际顶级或重要期刊、会议发表论文近70篇。其中以第一作者身份在JCRQ1区、中科院一区期刊《IEEETransactions on Cybernetics》上发表一篇,该期刊属于中科院归类的Top期刊,影响因子:8.803;JCRQ1区、中科院二区期刊《PatternRecognition》上发表四篇,该期刊属于具有重要国际学术影响的期刊,影响因子:3.962;JCRQ1区、中科院二区期刊《Neurocomputing》上发表两篇,该期刊属于国际重要期刊,影响因子:3.241;JCRQ2区、中科院三区期刊《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:1.998;JCR Q2区、中科院三区期刊《PatternRecognition Letters》发表论文两篇,该期刊属于国际重要期刊,影响因子:1.952。其它国际会议论文包括第一作者发表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,中国计算机学会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;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重要的学术会议。其他国际重要会议论文还包括CAIP,ICIAP, GbRPR以及S+SSPR等。目前已发表论文包括:

期刊论文:

注:影响因子基于Webof Science JCR Report 2018年发布信息

[1]Lu Bai, Luca Rossi, Lixin Cui, JianCheng, Edwin R. Hancock.AQuantum-inspired Similarity Measure for the Analysis of Complete WeightedGraphs, To appear inIEEE Transactions on Cybernetics, 2019.(SCI检索;JCRQ1区;中科院一区;Top期刊;CCFB类;影响因子:8.803)

[2]Lu Bai, Lixin Cui, Xiao Bai, Edwin R.Hancock. Deep Depth-based Representations of Graphs through Deep LearningNetworks, To appear inNeurocomputing, 2019.(SCI检索;JCRQ1区;中科院二区,影响因子:3.241)

[3] Lixin Cui,Lu Bai (通讯作者、共同第一作者),Zhihong Zhang, Edwin R. Hancock. Identifying The Most Informative FeaturesUsing A Structurally Interacting Elastic Net, To appear inNeurocomputing,2019.(SCI检索;JCR Q1区;中科院二区;影响因子:3.241)

[4]Lu Bai,Lixin Cui, Luca Rossi, Lixiang Xu, Xiao Bai, Edwin R. Hancock.Local-Global Nested Graph Kernels Using Nested Complexity Traces. To appear inPatternRecognition Letters, 2019.(SCI检索;JCRQ2区,中科院三区,影响因子:1.992)

[5]Lu Bai, Luca Rossi, Lixin Cui, Zhihong Zhang, Peng Ren, Xiao Bai, EdwinR. Hancock, Quantum Kernels for Unattributed Graphs using Discrete-time QuantumWalks,Pattern Recognition Letters, 2017 (SCI检索;JCRQ2区;中科院三区;影响因子:1.992)

[6]Lu Bai, Francisco Escolano, and Edwin R. Hancock. Depth-based HypergraphComplexity Traces from Directed Lline Graphs.Pattern Recognition, 2016.(SCI检索;JCRQ1区;中科院二区;CCFB类;影响因子:3.962)

[7]Lu Bai, and Edwin R. Hancock. Fast Depth-based Subgraph Kernels forUnattributed Graphs.Pattern Recognition, 2016. (SCI检索;JCRQ1区;中科院二区;CCFB类;影响因子:3.962)

[8]Lu Bai, Luca Rossi, Andrea Torsello and Edwin R. Hancock. A QuantumJensen-Shannon Graph Kernel for Unattributed Graphs.Pattern Recognition,2015. (SCI检索;JCR Q1区;中科院二区;CCFB类;影响因子:3.962)

[9]Lu Baiand Edwin R. Hancock. Depth-Based Complexity Traces of Graphs.PatternRecognition, 2014. (SCI检索;JCR Q1区;中科院二区;CCFB类;影响因子:3.962)

[10]Lu Baiand Edwin R. Hancock. Graph Kernels from the Jensen-ShannonDivergence.Journal of Mathematical Imaging and Vision, 2013. (SCI检索;JCRQ2区;中科院三区,影响因子:1.998)

[11]Xiao Bai, Yan Chenm,Lu Bai, Jun Zhou, Edwin R. Hancock. Adaptive HashRetrieval with Kernel Based Similarity.Pattern Recognition, 2018. (SCI检索;JCRQ1区;中科院二区;CCFB类;影响因子:3.962)

[12]Lixiang Xu, Xiaoyi Jiang,Lu Bai, Jin Xiao, Bin Luo. A hybridreproducing graph kernel based on information entropy. Pattern Recognition,2018. (SCI检索;JCR Q1区;中科院二区;CCFB类;影响因子:3.962)

[13]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;JCRQ1区;中科院二区;CCFB类;影响因子:3.962)

[14]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;JCR Q2区;中科院三区;影响因子:1.992)

[15]Yun Liu, Chen Wang, Yang Wang, Xiao Bai, Jun Zhou,Lu Bai. Differentialweights-based band selection for hyperspectral image classification.International Journal of Wavelets Multiresolution and Information Processing,2017. (SCI检索)

[16]Haichuan Yang, Xiao Bai, Yanzhen Liu, Yanyang Wang,Lu Bai, Jun Zhou.Maximum margin hashing with supervised information,Multimedia Tools andApplications, 2016 (SCI检索;影响因子:1.541)

[17]Zhihong Zhang, Yuanheng Liang,Lu Bai, Edwin R. Hancock. Discriminativesparse representation for face recognition,Multimedia Tools andApplications, 2016 (SCI检索;影响因子:1.541)

[18]Zhihong Zhang,Lu Bai, Peng Ren, Edwin R. Hancock. High-order graphmatching kernel for early carcinoma EUS image classification,MultimediaTools and Applications, 2016 (SCI检索;影响因子:1.541)

[19]Xiao Bai, Cheng Yan, Peng Ren,Lu Bai, Jun Zhou. Discriminative sparseneighbor coding,Multimedia Tools and Applications, 2016 (SCI检索;影响因子:1.541)

[20]Cheng Yan, Xiao Bai, Peng Ren,Lu Bai, Wenzhong Tang, Jun Zhou, BandWeighting via Maximizing Interclass Distance for Hyperspectral ImageClassification,IEEE Geoscience and Remote Sensing Letters, 2016 (SCI检索;JCRQ2区;中科院三区;影响因子:2.892)

会议论文:

[1]Lu Bai, Luca Rossi, Zhihong Zhang, and Edwin R. Hancock. An AlignedSubtree Kernel on Weighted Graphs. In Proceedings ofInternationalConference 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, Xiao Bai, and Edwin R. Hancock. AGraph Kernel based on the Jensen-Shannon Representation Alignment . InProceedings ofInternational Joint Conference on Artificial Intelligence(IJCAI), 2015. (Oral, EI检索;CCF A类国际顶级;教育部“A类期刊(会议)”列表)

[3]Lu Bai, Luca Rossi, Horst Bunke, and Edwin R. Hancock. Attributed GraphKernels Using the Jensen-Tsallis q-Differences. In Proceedings ofEuropeanConference on Machine Learning and Principles and Practice of KnowledgeDiscovery in Databases (ECML-PKDD), 2014. (Oral, EI检索;CCFB类国际顶级)

[4]Yuhang Jiao, Lixin Cui,Lu Bai(通讯作者),Yue Wang. Analyzing Time Series from Chinese Financial Market Using aLinear-Time Graph Kernel. In Proceedings ofJoint IAPR InternationalWorkshop on Structural, Syntactic, and Statistical Pattern Recognition, (S+SSPR),2018. (Oral,EI检索,指导本科生第一作者)

[5]Lixin Cui,Lu Bai(通讯作者), Luca Rossi, ZhihongZhang, Yuhang Jiao, Edwin R. Hancock. A Preliminary Survey of Analyzing DynamicTime-Varying Financial Networks Using Graph Kernels. In Proceedings ofJointIAPR International Workshop on Structural, Syntactic, and Statistical PatternRecognition, (S+SSPR), 2018. (Oral,EI检索)

[6]Zhihong Zhang, Zhuobin Xu, Zhiling Ye, Yiqun Hu, Lixin Cui,Lu Bai.Single Image Super Resolution via Neighbor Reconstruction. In Proceedings ofJointIAPR International Workshop on Structural, Syntactic, and Statistical PatternRecognition (S+SSPR), 2018. (Oral,EI检索)

[7]Chuanyu Xu, Dong Wang, Zhihong Zhang, Beizhan Wang, Da Zhou, Guijun Ren,LuBai, Lixin Cui, Edwin R. Hancock. Depth-Based Subgraph Convolutional NeuralNetworks. In Proceedings ofInternational Conference on Pattern Recognition(ICPR), 2018. (Oral, EI检索, Best Scientific Paperin Each Track;国际模式识别重要会议;CCF推荐)

[8]Zhihong Zhang, Zhiling Ye, Zhengjian Bai, Guosheng Hu, Yiqun Hu,Lu Bai,Edwin Hancock. A Unified Neighbor Reconstruction Method for Embeddings. InProceedings ofInternational Conference on Pattern Recognition (ICPR),2018. (Oral, EI检索;国际模式识别重要会议;CCF推荐)

[9]Lixin Cui,Lu Bai(通讯作者), Luca Rossi, Yue Wang,Jiao Yuhang, Edwin Hancock. A Deep Hybrid Graph Kernel through Deep LearningNetworks. In Proceedings ofInternational Conference on Pattern Recognition(ICPR), 2018. (Oral, EI检索;国际模式识别重要会议;CCF推荐)

[10]Meihong Wu, Yangbin Zeng, Zhihong Zhang, Haiyun Hong, Zhuobin Xu, Lixin Cui,Lu Bai, Edwin R. Hancock. Directed Network Analysis Using Transfer EntropyComponent Analysis. In Proceedings ofJoint IAPR International Workshop onStructural, Syntactic, and Statistical Pattern Recognition (S+SSPR), 2018.(Oral,EI检索)

[11]Lixin Cui,Lu Bai(通讯作者), Luca Rossi, ZhihongZhang, Lixiang Xu, Edwin R. Hancock. A Mixed Entropy Local-Global ReproducingKernel for Attributed Graphs. In Proceedings ofJoint IAPR InternationalWorkshop on Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR),2018. (Oral,EI检索)

[12]Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock. A Nested AlignmentGraph Kernel through the Dynamic Time Warping Framework. In Proceedings ofIAPR-TC-15International Workshop on Graph-based Representation in Pattern Recognition(GbRPR), 2017. (Oral, EI检索)

[13]Lixin Cui,Lu Bai(通讯作者), Luca Rossi, Edwin R.Hancock. Adaptive Feature Selection based on the Most Informative Graph-basedFeatures. In Proceedings ofIAPR-TC-15 International Workshop on Graph-basedRepresentation in Pattern Recognition (GbRPR), 2017. (Oral, EI检索)

[14]Qinghao Hu, Jiaxiang Wu,Lu Bai, Yifan Zhang, Jian Cheng. Fast K-meansfor Large Scale Clustering. In Proceedings ofACM Conference on Informationand Knowledge Management (CIKM), 2017. (EI检索,CCFB)

[15]Lixin Cui,Lu Bai(通讯作者), Yue Wang, Xiao Bai,Edwin R. Hancock. P2P Lending Analysis Using the Most Relevant Graph-BasedFeatures. In Proceedings ofJoint IAPR International Workshops on Structuraland Syntactic Pattern Recognition and Statistical Techniques in PatternRecognition (S+SSPR), 2016. (Oral, EI检索)

[16]Yue Wang,Lu Bai, Link Prediction via Supervised Dynamic NetworkFormation, In Proceedings ofInternational Conference on Pattern Recognition(ICPR), 2016. (EI检索;国际模式识别重要会议;CCF推荐)

[17]Lu Bai, Lixin Cui, Francisco Escolona, Edwin R. Hancock. An Edge-basedMatching Kernel on Commute-time Spanning Trees, Proceedings ofInternationalConference on Pattern Recognition (ICPR), 2016. (EI检索;国际模式识别重要会议;CCF推荐)

[18]Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock. A Transitive AlignedWeisfeiler-Lehman Subtree Kernel, In Proceedings ofInternational Conferenceon Pattern Recognition (ICPR), 2016. (EI检索;国际模式识别重要会议;CCF推荐)

[19]Lu Bai, Lixin Cui, Yue Wang, Xiao Bai, Edwin R. Hancock. ShapeClassification with A Vertex Clustering Graph Kernel, Proceedings ofInternationalConference on Pattern Recognition (ICPR), 2016. (EI检索;国际模式识别重要会议;CCF推荐)

[20]Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock. A Novel Entropy-basedGraph Signature from the Average Mixing Matrix, In Proceedings ofInternational Conference on Pattern Recognition (ICPR), 2016. (EI检索;国际模式识别重要会议;CCF推荐)

[21]Lu Bai, Luca Rossi, Peng Ren, Zhihong Zhang, and Edwin R. Hancock. AQuantum Jensen-Shannon Graph Kernel using Discrete-time Quantum Walks. InProceedings ofIAPR-TC-15 International Workshop on Graph-based Representationin Pattern Recognition (GbRPR), 2015. (oral, EI检索)

[22]Lu Bai, Zhihong Zhang, Peng Ren, Luca Rossi, and Edwin R. Hancock. AnEdge-based Matching Kernel through Discrete-time Quantum Walks. In ProceedingsofInternational Conference on Image Analysis and Processing (ICIAP),2015. (Oral,EI检索;IAPR"Eduardo Caianiello"最佳论文奖BestPaper Award)

[23]Lu Bai, Zhihong Zhang, Chaoyan Wang, and Edwin R. Hancock. An Edge-basedMatching Kernel through the Directed Line Graphs. In Proceedings ofInternationalConference on Computer Analysis of Images and Patterns (CAIP), 2015. (Oral,EI检索)

[24]Lu Bai, Zhihong Zhang, Peng Ren, and Edwin R. Hancock. A High-orderDepth-based Matching Method for Graphs. In Proceedings ofInternationalConference on Computer Analysis of Images and Patterns (CAIP), 2015. (EI检索)

[25]Zhihong Zhang,Lu Bai(通讯作者), and Edwin R. Hancock.Unsupervised Feature Selection by Graph Optimization. In Proceedings ofInternationalConference on Image Analysis and Processing (ICIAP), 2015. (EI检索)

[26]Zhihong Zhang,Lu Bai(通讯作者), Yuanheng Liang, andEdwin R. Hancock. Adaptive Graph Learning for Unsupervised Feature Selection. InProceedings ofInternational Conference on Computer Analysis of Images andPatterns (CAIP), 2015. (EI检索)

[27]Zhihong Zhang, Jianbin Xiaohou,Lu Bai(通讯作者),and Edwin R. Hancock. Coupled-feature Hypergraph Representation for FeatureSelection. In Proceedings ofIAPR-TC-15 International Workshop on Graph-basedRepresentation in Pattern Recognition (GbRPR), 2015. (Oral, EI检索)

[28]Lu Bai, and Edwin R. Hancock. A Graph Kernel from the Depth-BasedRepresentation. In Proceedings ofJoint IAPR International Workshops onStructural and Syntactic Pattern Recognition and Statistical Techniques inPattern Recognition (S+SSPR), 2014. (Oral, EI检索)

[29]Andrea Torsello, Andrea Gasparetto, Luca Rossia,Lu Bai, and Edwin R.Hancock. Transitive State Alignment for the Quantum Jensen-Shannon Kernel. InProceedings ofJoint IAPR International Workshops on Structural andSyntactic Pattern Recognition and Statistical Techniques in Pattern Recognition(S+SSPR 2014). (Oral, EI检索)

[30]Lu Bai, Horst Bunke, and Edwin R. Hancock. A Jensen-Shannon DiffusionKernel for Attributed Graphs. In proceedings ofInternational Conference onPattern Recognition (ICPR), 2014. (Oral, EI检索;国际模式识别重要会议;CCF推荐)

[31]Lu Bai, Peng Ren, and Edwin R. Hancock. A Hypergraph Kernel fromIsomorphism Tests. In Proceedings ofInternational Conference on PatternRecognition (ICPR), 2014. (EI检索;国际模式识别重要会议;CCF推荐)

[32]Lu Bai, Francisco Escolano, and Edwin R. Hancock. Depth-Based HypergraphComplexity Traces from Directed Line Graphs. In Proceedings ofInternationalConference on Pattern Recognition (ICPR), 2014. (EI检索;国际模式识别重要会议;CCF推荐)

[33]Lu Bai, Edwin R. Hancock, and Lin Han. A Graph Embedding Method using theJensen-Shannon Divergence. In Proceedings ofInternational Conference onComputer Analysis of Images and Patterns (CAIP), 2013. (Oral, EI检索)

[34]Lu Bai, and Edwin R. Hancock. A Fast Jensen-Shannon Subgraph Kernel. InProceedings of 17thInternational Conference on Image Analysis andProcessing (ICIAP), 2013. (Oral, EI检索)

[35]Lu Bai, Edwin R. Hancock, Andrea Torsello, and Luca Rossi. A QuantumJensen-Shannon Graph Kernel using the Continuous-Time Quantum Walk. InProceedings ofIAPR-TC-15 International Workshop on Graph-based Representationin Pattern Recognition (GbRPR), 2013. (Oral, EI检索)

[36]Lu Bai, and Edwin R. Hancock. Graph Clustering using Graph EntropyComplexity Traces. In Proceedings ofInternational Conference on PatternRecognition (ICPR), 2012. (EI检索;国际模式识别重要会议;CCF推荐)

[37]Lu Bai, Edwin R. Hancock, and Peng Ren. Jensen-Shannon Graph Kernelusing Information Functionals. In Proceedings ofInternational Conference onPattern Recognition (ICPR), 2012. (EI检索;国际模式识别重要会议;CCF推荐)

[38]Lin Han, Richard C. Wilson, Edwin R. Hancock,Lu Bai, and Peng Ren.Sampling Graphs from A Probabilistic Generative Model. In Proceedings ofInternationalConference on Pattern Recognition (ICPR), 2012. (EI检索;国际模式识别重要会议;CCF推荐)

[39]Lu Bai, Edwin R. Hancock, and Peng Ren. A Jensen-Shannon Kernel forHypergraphs. In Proceedings ofJoint IAPR International Workshop on Structural,Syntactic, and Statistical Pattern Recognition (S+SSPR), 2012. (Oral, EI检索)

[40]Lu Bai, and Edwin R. Hancock. Graph Complexity from the Jensen-ShannonDivergence. In Proceedings ofJoint IAPR International Workshop onStructural, Syntactic, and Statistical Pattern Recognition(S+SSPR),2012. (Oral, EI检索)

[41]Lu Bai, and Edwin R. Hancock. Graph Clustering Using the Jensen-ShannonKernel. In Proceedings of 14thInternational Conference on Computer Analysisof Images and Patterns (CAIP), 2011. (Oral, EI检索)

指导学生毕业去向(部分):

年份

姓名

毕业设计

毕业去向

2018

吴宇帆

基于深度学习与粒子群优化的股票投资组合模型

北京航空航天大学

2018

潘云逸

基于用户运动健康的数据分析APP(院级本科优秀毕业论文)

南京大学

2018

焦宇航

基于图核的时间序列分析方法(校级本科优秀毕业论文)

中央财经大学

2017

刘照

基于模糊推理模型的个性化选课系统(院级本科优秀毕业论文)

西交利物浦大学

2016

陈斌

安卓背诵APP开发(校级本科优秀毕业论文)

中央财经大学

联系方式:bailucs@cufe.edu.cn

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