Linglong Kong Curriculum Vitae

Linglong Kong
Curriculum Vitae
Contact
Information
Department of Mathematical and Statistical Sciences
University of Alberta
Edmonton, AB T6G 2G1
Email : [email protected]
Phone: (780) 492-0205
www.mathstat.ualberta.ca/~lkong
Education
Ph.D. Statistics, University of Alberta, Edmonton, Alberta, Canada
2009
• Dissertation: On Multivariate Quantile Regression: Directional Approach and Application
on Growth Charts (Advisor : Prof. Ivan Mizera )
M.S. Probability and Statistics, Peking University, Beijing, China
2002
• Dissertation: Monte Carlo Filter and an Application in a Signal Modulated Model (Advisor : Prof. Zhongjie Xie)
B.S. Probability and Statistics, Beijing Normal University, Beijing, China
Research
Interests
1999
High-dimensional data analysis
• Functional data analysis, Varying coefficient model, Multiscale adaptive regression model,
Neuroimage data analysis, MRI, fMRI, and DTI data analysis
Robust statistics
• Depth-based methods, Quantile regression, Bayesian methods in quantile regression, Robustness in neuroimage data analysis, Robustness in machine learning
Other interests
• Machine learning, variable screening and selection, Missing data, Empirical likelihood,
Experimental design, Brain image and statistical genomics, Shape analysis
Professional
experience
Academic Position:
• Assistant Professor, Dept. of Math. and Stat., University of Alberta
2012-present
Extended Visits:
• Research Fellow, Stat and Appl Math Sci Inst (SAMSI)
08-12/2015
• New Research Fellow, Stat and Appl Math Sci Inst (SAMSI)
01-05/2014
• Visiting Assistant Professor, Department of Biostatistics, UNC-CH
06-07/2013
• Visiting Scholar, Department of Computer Science, University of Georgia
01/2012
Honors and
Awards
Research Experience:
• Postdoctoral Fellow, Department of Biostatistics, UNC-CH
• Postdoctoral Fellow, Dept. of Stat. and Prob., Michigan State University
• Research Associate, Faculty of Nursing, University of Alberta
• Research Assistant, Faculty of Nursing, University of Alberta
2010-2012
2009-2010
2008-2009
2007-2008
Teaching Experience:
• Sessional Lecturer, Dept. of Math. and Stat., University of Alberta
• University Teaching Program, University of Alberta
• Teaching Assistant, Dept. of Math. and Stat., University of Alberta
• Instructor, Beijing Huijia Private School
• Teaching Assistant, Department of Statistics, Peking University
2008-2009
2006-2009
2003-2008
2002-2003
2000-2002
Consulting Experience:
• Coordinator at Training Consultant Centre (TCC), University of Alberta
• Statistical Consultant at TCC, University of Alberta
• Statistical Consultant for individual projects, University of Alberta
2007-2008
2005-2008
2005-2007
• Research Fellow, Stat and Applied Math Sciences Institute (SAMSI)
February 2015
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Funds and
Grants
Publications
IMS New Researchers Conference Travel Award, IMS
New Research Fellow, Stat and Applied Math Sciences Institute (SAMSI)
IMS New Researchers Conference Travel Award, IMS
SAMSI Neuroimaging Data Analysis Workshop Travel Award, SAMSI
Discovery Grant of Early Career Researcher (ECR) Supplement, NSERC
ENAR Workshop for Junior Researchers Travel Award, ENAR
Developing Statistical Methods for Neuroimaging Workshop Scholarship, NSF
Student Travel Award, Statistical Society of Canada
The Best Consultant of the Year 2007, University of Alberta
Mary Louise Imrie Graduate Student Award, University of Alberta
Josephine Mitchell Scholarship, University of Alberta
Provost Doctoral Entrance Award, University of Alberta
Eoin L. Whitney Scholarship, University of Alberta
Pundit RD Sharma Memorial Graduate Student Award, University of Alberta
GangSong Graduate Student Scholarship, Peking University
Second Rank Major Scholarship, Beijing Normal University
Third Rank Major Scholarship, Beijing Normal University
Second Rank Major Scholarship, Beijing Normal University
Second Rank in National High School Mathematical Olympics Contest in China
2014
2014
2013
2013
2013
2013
2012
2008
2007
2007
2005
2004
2004
2003
2000
1998
1997
1996
1994
• Quantile Regression in Brain Imaging Data Analysis, NSERC-RGPIN, $15,000 (per year),
2013-2018
• Start-up Funds, University of Alberta, $50,000 (total),
2012-2015
Peer-reviewed: + indicates equal contributions.
[1] Karunamuni, R. and Kong, L. (2015). Efficient Robust Doubly Adaptive Penalized
Regression, submitted.
[2] He, Q.,+ Kong, L.+ , Wang, Y., Wang, S., Cha, T. and Holland, E. (2014). Regularized
Quantile Regression for Quantitative Genetic Traits, submitted.
[3] Kong, L. and Wiens, P. D. (2014). Model-Robust Designs for Quantile Regression,
Journal of the American Statistical Association, in press.
[4] Zhu, H., Fan, J. and Kong, L. (2014). Spatially Varying Coefficient Model for Neuroimaging Data with Jump Discontinuities. Journal of the American Statistical Association, Vol. 109, No. 507, 1084-1098.
[5] Ford, A., An, H., Kong, L., Zhu, H., Vo, K., Powers, W., and Lin, W. (2014). Clinicallyrelevant reperfusion in acute ischemic stroke: MTT performs better than Tmax and TTP,
Translational Stroke Research, Vol. 5, 415-421.
[6] Calder on-Garcidue¨
nas, L., Mora-Tiscare¨
no, A., Torres-Jard on, R., Pea¨
n-Cruz, B., PalaciosL opez, C., Zhu, H., Kong, L., Mendoza-Mendoza, N., Montesinos-Correa, H., Romero,
L., Valencia-Salazar, G., Cross, J., Kavanaugh, M., Medina-Cortina, H., Frenk, S. (2013).
Exposure to Urban Air Pollution and Bone Health in Clinically Healthy Six-Year-Old
Children. Archives of Industrial Hygiene and Toxicology, Vol. 64(1): 23-34.
[7] Zhu, H., Li, R. and Kong, L. (2012). Multivariate Varying Coefficient Models for
Functional Responses, Annals of Statistics, Vol. 40, No. 5, 2634-2666.
[8] Kong, L. and Mizera, I. (2012). Quantile Tomography: Using Quantiles with Multivariate Data, Statsitica Sinica, Vol. 22, No. 4. 1589-1610.
[9] Zhu, H., Kong, L., Li, R., Styner, M., Gerig, G., Li, Y. and Gilmore, JH. (2011).
FADTTS: Functional Analysis of Diffusion Tensor Tract Statistics, Neuroimage, Vol.
56(3), 1412-1425.
[10] Zhu, H., Styner, M., Li, Y., Kong, L., Shi, W., Lin, W., Coe, C. and Gilmore, JH.
(2010). Multivariate Varying Coefficient Models for DTI Tract Statistics, Medical Image Computing and Computer-Assisted Intervention MICCAI 2010, Lecture Notes in
Computer Science, 2010, Springer Berlin/Heidelberg, Vol. 6361, 690-697.
[11] Kong, L. and Zuo, Y. (2010). Depth Contours Characterize the Underlying Distribu-
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tion, Journal of Multivariate Analysis, Vol. 101(9), 2222-2226.
[12] Kong, L. and Mizera, I. (2010). Discussion of “Multivariate Quantiles and MultipleOutput Regression Quantiles: From L1 Optimization to Halfspace Depth”, Annals of
Statistics, Vol. 38, No. 2, 685-693.
Other Publications:
[13] Kong, L. (2009), On multivariate quantile regression: directional approach and application with growth charts, Ph.D. thesis, Advisor: Ivan Mizera, University of Alberta.
Technical Reports:
[14] Squires, J., Kong, L., Brooker, S.Mitchell, A. Sales, A. and Estabrooks, C. (2009).
Examining the Role of Context in Alzheimer Care Centers: A Pilot Study Technical
Report. (Report No.0804-TR). Edmonton, AB, Faculty of Nursing, University of Alberta.
(ISBN:978-1-55195-237-6).
[15] Estabrooks, C., Squires, J., Adachi, A., Kong, L. and Norton, P. (2008). Utilization
of Health Research in Acute Care Settings in Alberta Technical Report. (Report No.
08-01-TR). Edmonton, AB, Faculty of Nursing, University of Alberta. (ISBN: 978-155195-231-4).
[16] Hutchinson, A., Adachi, A., Kong, L., Estabrooks, C., and Steves, B. (2008). Context
and Research Use in the Care of Children: A Pilot Study Project 2 CIHR Team in
Children’s Pain Technical Report. (Report No. 08-03-TR). Edmonton, AB: Faculty of
Nursing, University of Alberta. (ISBN: 978-1-55195-236-9).
Presentations Invited:
[1] Tensor Approximation in Functional Linear Quantile Regression, Applied Topology and
High-Dimensional Data Analysis, University of Victoria, Victoria, BC.
08/2015
[2] Robust Spatial Varying Coefficient Model in Neuroimaging Data Analysis, Annual Meeting of the Statistical Society of Canada, University of Dalhousie, Halifax, NS. 06/2015
[3] Robust Spatial Varying Coefficient Model in Neuroimaging Data Analysis, Imaging Conference, University of Michigan, Ann Arbor, MI.
05/2015
[4] Regularized Quantile Regression for Quantitative Genetic Traits, Department of Biostatistics and Medical Informatics, University of Wisconsin - Madison, Madison, Wisconsin.
10/2014
[5] Partial Functional Linear Regression Model for Hyper-Acute Ischemic Stroke Study, Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton,
AB.
09/2014
[6] Sparse Partial Functional Linear Regression Model for Hyper-Acute Ischemic Stroke
Study, Joint Statistical Meeting, Boston, MA.
08/2014
[7] Composite Quantile Regression in Brain Imaging Data Analysis, IMS Asia Pacific Rim
Meeting, Taipei.
07/2014
[8] Estimation in Functional Linear Quantile Regression, ICSA and KISS Joint Applied
Statistics Symposium, Portland, OR.
06/2014
[9] Estimation in Functional Linear Regression: Mean and Quantile, Workshop on Nonparametric Estimation and Functional data, Oregon State University, Corvallis, OR. 06/2014
[10] Simultaneously Sparse Partial Functional Linear Regression in Hyper-Acute Ischemic
Stroke Study, Annual Meeting of the Statistical Society of Canada, University of Toronto,
Toronto, OR.
05/2014
[11] Sparse Partial Functional Linear Regression Model for Hyper-Acute Ischemic Stroke
Study, SIAM Conference on Imaging Science, HongKong, China.
05/2014
[12] Spatially Varying Coefficient Model for Neuroimaging Data, Department of Statistics,
Texas A&M University, College Station, TX.
03/2014
[13] Spatial Quantile Regression for Neuroimaging Data, Eastern North American Region
(ENAR) Spring Meeting, Baltimore, MD.
03/2014
[14] Quantile regression in Variable Screening, Banff International Research Station (BIRS),
Banff, AB.
02/2014
[15] Spatially Varying Coefficient Model for Neuroimaging Data with Jump Discontinuities,
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Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario.
11/2013
[16] Multivariate Varying Coefficient Models for Functional Responses and its Applications
in DTI Data Analysis, Department Statistics Seminar, University of Alberta, Edmonton,
AB.
09/2013
[17] Quantile Regression with Multiscale Adaptive Smoothing for Neuroimaging Data, IMS
New Researchers Conference, Montreal, QC.
08/2013
[18] Varying Coefficient Models in DTI Data Analysis, SAMSI Neuroimaging Data Analysis
workshop, RTP, NC.
06/2013
[19] Simultaneously Sparse Partial Functional Linear Regression Model and its Applications
in Hyper-Acute Ischemic Stroke Study, ICSA/ISBS 2013 Joint Statistics Conference,
Bethesda, MD.
06/2013
[20] Quantile Regression in Spatially Varying Coefficient Models for Neuroimaging Data,
International Conference of the ERCIM WG on Computing and Statistics, Oviedo, Spain.
12/2012
[21] Spatially Varying Coefficient Model for Neuroimaging Data with Jump Discontinuities,
Alberta Statisticians’ Meeting, University of Alberta, Edmonton, Alberta.
10/2012
[22] Varying Coefficient Models for Neuroimaging Data, Department of Statistics, University
of Connecticut, Storrs, Connecticut.
02/2012
[23] Varying Coefficient Models for Neuroimaging Data, Division of Statistics, Northern
Illinois University, DeKalb, Illinois.
02/2012
[24] Varying Coefficient Models for Neuroimaging Data, Department of Mathematical and
Statistical Sciences, University of Alberta, Edmonton, Alberta.
02/2012
[25] Varying Coefficient Models for Neuroimaging Data, Department of Statistics, Virginia
Tech University, Blacksburg, Virginia.
01/2012
[26] Multivariate and Spatial Varying Coefficient Models for Neuroimaging Data, Department of Computer Science, University of Georgia, Athens, Georgia.
01/2012
[27] Multivariate Varying Coefficient Model and its Application to Neuroimaging Data, Department of Mathematics, State University of New York at Binghamton, Binghamton,
New York.
12/2011
[28] Quantile Tomography: Using Quantiles with Multivariate Data and Applications, Department of Statistics, University of Manitoba, Winnipeg, Manitoba.
04/2010
[29] Multivariate Quantiles with Applications to Growth Charts, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina. 02/2010
[30] Multivariate Quantile Regression: A Directional Approach, Department of Statistics
and Probability, Michigan State University, East Lansing, Michigan.
01/2010
[31] Bivariate Conditional Growth Charts via Directional Quantiles, School of Public Health,
University of Saskatchewan, Saskatoon, Saskatchewan.
05/2009
[32] Introduction to Data Aggregation, Knowledge Utilization Studies Program (KUSP),
Faculty of Nursing, University of Alberta, Edmonton, Alberta.
12/2008
[33] On Quantiles Applied to Bivariate Growth Charts, Division of Population Health and
Information, Alberta Cancer Board, Calgary, Alberta.
03/2008
[34] Quantile Methods for Biometric Charts, Division of Community and Humanities, Memorial University, St. John’s, Newfoundland and Labrador.
02/2008
[35] An Approximate Algorithm for Depth Contours in Bivariate Case, Alberta Statisticians’
Meeting, University of Calgary, Calgary, Alberta.
10/2007
Contributed:
[36] Tensor Approximation in Functional Linear Quantile Regression, Joint Statistical Meeting, Seattle, WA.
08/2015
[37] Spatially Composite Quantile Regression in Neuroimaging Data Analysis, Joint Statistical Meeting, Montreal, QC.
08/2013
[38] Varying Coefficient Models for Neuroimaging Data, Joint Statistical Meeting, San Diego,
California.
08/2012
[39] Multiscale Adaptive Composite Quantile Regression Models for Neuroimaging Data,
Eastern North American Region (ENAR) Spring Meeting, Washington, DC.
04/2012
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[40] Spatial Varying Coefficient Models for Neuroimaging Data, Joint Statistical Meeting,
South Miami, Florida.
08/2011
[41] Construction of Bivariate Charts Using Quantile Contours, Joint Meeting of the Statistical Society of Canada and the Soci`et`e Fran¸caise de Statistique, University of Ottawa,
Ottawa, Ontario.
05/2008
[42] Bivariate Quantile as Tukey Depth Contours: a Connection to Directional Quantile
Regression, Annual Meeting of the Statistical Society of Canada, Memorial University of
Newfoundland, St. John’s, Newfoundland and Labrador.
06/2007
[43] Multivariate Data Analysis via Halfspace Depth, Western Canadian Conference for
Young Researchers in Mathematics, University of Calgary, Calgary, Alberta. 05/2007
[44] Analysis of the Obstructive Sleep Apnea Data, Annual Meeting of the Statistical Society
of Canada, University of Western Ontario, London, Ontario.
05/2006
[45] Generalized Depth Quantiles, Robustness Workshop, Department of Mathematical and
Statistical Sciences, University of Alberta, Edmonton, Alberta.
10/2004
Short Courses • Statistical Methods for Neuroimaging Data Analysis (joint with Professors Hongtu Zhu
and Haipeng Shen), Joint Statistical Meeting, Montreal, QC.
08/2013
Software
cqrReg: Quantile, Composite Quantile Regression and Regularized Versions
• Estimate quantile regression(QR) and composite quantile regression (cqr) and with adaptive lasso penalty using interior point (IP), majorize and minimize(MM), coordinate descent (CD), and alternating direction method of multipliers algorithms(ADMM).
http://cran.r-project.org/web/packages/cqrReg/
SVCM: Spatial Varying Coefficient Model for Neuroimaging Data
• A Matlab plus C++ package for spatially modeling the relation between high dimensional
imaging measures on 3D region with a set of covariates.
http://www.bios.unc.edu/research/bias/software.html
FADTTS: Functional Analysis of Diffusion Tensor Tract Statistics
• A Matlab package with GUI for delineating the association between multiple diffusion
properties with a set of covariates and the structure of their variability.
http://www.nitrc.org/projects/fadtts/
FRATS: Functional Regression Analysis of DTI Tract Statistics
• A Matlab package with GUI for the analysis of multiple diffusion properties along fiber
bundle and their association with a set of covariates.
http://www.nitrc.org/projects/frats/
Workshops
Attended
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Courses
Taught
• STAT 568 Design and Analysis of Experiments
• STAT 512 Mathematical Methods in Statistics
STAT 578 Regression Analysis
• STAT 378/502 Applied Regression Analysis
STAT 578 Regression Analysis
• STAT 575 Multivariate Analysis
IMS New Researchers Conference, Boston, MA.
Recent Advances in Survey Sampling Methods, BIRS/Banff, AB.
Geometric Aspects of High-dimensional Inference, SAMSI/RTP, NC.
Statistical and Computational T&M for Big Data Analysis, BIRS/Banff, AB
IMS New Researchers Conference, Montreal, QC.
Neuroimaging Data Analysis Workshop, SAMSI/RTP, NC.
ENAR Workshop for Junior Researchers, Orlando, FL.
Developing Statistical Methods for Neuroimaging Workshop, San Diego, CA.
Analysis of Object Data Opening Workshop and Tutorials, SAMSI/RTP, NC.
February 2015
08/2014
07/2014
03/2014
02/2014
08/2013
06/2013
03/2013
07/2012
09/2010
Winter, 2015
Fall, 2014
Fall, 2013
Winter, 2013
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• STAT 378/502 Applied Regression Analysis
• STAT 252 Introduction to Applied Statistics II
• STAT 151 Introduction to Applied Statistics I
Students
Supervised
Fall, 2012
Summer, 2009
Summer, 2008
Supervisor for PhD Students
• Dengdeng Yu (joint with Professor Ivan Mizera), 2013-2017.
Supervisor/Advisor for MSc Students
• Lili Zheng (Statistics), 2014 - 2015; Maryam Gholami (Statistics), 2014 - 2015; Yi Zhou
(Statistical Machine Learning), 2014 - 2016; Menglu Che (Statistics), 2014 - 2016;
• Jueyu Gao (Statistical Machine Learning), 2013 - 2015; Shimei Yu, (Biostatistics) 20132015; Haoxu Shu (Biostatistics), 2013-2015.
Supervisory Committee Member for PhD Students
• Sile Tao, 2014 - 2018;
• Li Zhang, 2012-2017.
Supervisory Committee Member for MSc Students
• Bo Deng (Biostatistics), 2013 - 2015; Birtukan Adamu (Biostatistics), 2013 - 2015;
• Pavel Petrov (Statistics), 2012-2014; Lujing Hou (Biostatistics), 2012-2014; Farhood Mohammadi (Biostatistics), 2012-2014;
• Dengdeng Yu (Statistics), 2012-2013;
• Maryam Daemi (Statistics), 2012-2012.
Thesis Defense Committee Member for PhD Students
• Mahdi Shaghaghi (Electrical and Computer Engineering), 11/2014.
Thesis Defense Committee Member for MSc Students
• Imran Hassan(Statistics), 08/2014; Pavel Petrov (Statistics), 09/2014; Farhood Mohamadi
(Biostatistics), 09/2014;
• Ryan Kiros (Computer Sciences), 05/2013; Menglu Che (Applied Mathematics), 05/2013;
Bangxin Zhao (Chair, Statistics), 08/2013; Dengdeng Yu (Statistics), 09/2013;
• Maryam Daemi (Statistics), 09/2012.
Candidacy Exam Committee Member for PhD Students
• Sile Tao (Statistics), 03/2014;
• Weitian Tong (Computer Sciences), 06/2014; Shabnam Vatanpour (Biostatistics), 07/2014;
Li Zhang (Statistics), 09/2014;
• Rui Hu (Statistics), 09/2013.
Past Students/Trainees
• Xingcai Zhou (Postdoctoral Fellow, joint with Professor Rohana Karunamuni), 2013-2014;
• Qian Shi (MSc Statistics), 2012-2014.
Academic
Service
Grant Referee:
• Natural Sciences and Engineering Research Council of Canada Discovery Grant (NNSERCRGPIN) - 2
• National Security Agency Mathematical Sciences Grant (NAS-AMS) - 1
Journal Referee:
• Technometrics - 1
• Sankhya B - 1
• Electronic Journal of Statistics - 1
• Brain Connectivity - 1
• Annals of Statistics - 1
• Biometrics - 2
• Journal of Systems Science and Complexity - 1
• Statistica Sinica - 1
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Journal of Statistical Computation and Simulation - 1
Computational Statistics and Data Analysis - 1
Statistics: A Journal of Theoretical and Applied Statistics - 1
Journal of the American Statistical Association, Theory and Methods - 2
Journal of the American Statistical Association, Applications and Case Studies - 3
Statistical Papers - 2
Journal of the Royal Statistical Society, Series B - 1
Journal of Multivariate Analysis - 3
Communications in Statistics: Theory and Methods - 1
Committee Service:
• Workshop Organizing Committee Member, Mathematical and Statistical Challenges in
Neuroimaging Data Analysis (five days), BIRS/Banff, AB.
2016
• Workshop Organizing Committee Member, Recent Advances in Survey Sampling Methods
(two days), BIRS/Banff, AB.
2014
• Faculty Advisory Committee Member, Inaugural Trainee Conference of the Statistical
Society of Canada, Edmonton, Alberta.
2012 - 2013
Conference Service:
• Invited Session Organizer, Joint Statistical Meeting, Seattle, WA.
2015
• Invited Session Chair, Joint Statistical Meeting, Seattle, WA.
2015
• Invited Session Organizer, ICSA/Graybill, Fort Collins, CO.
2015
• Invited Session Chair, Joint Statistical Meeting, Boston, MA.
2014
• Topic Contributed Session Organizer, IMS Asia Pacific Rim Meeting, Taipei.
2014
• Judge for Student Presentation Competition, Annual Meeting of the Statistical Society of
Canada, Toronto, OR.
2014
• Minisymposia Co-Organizer, SIAM Conference on Imaging Science, HongKong.
2014
• Invited Session Chair, Joint Statistical Meeting, Montreal, QC.
2013
• Contributed Session Chair, Western Canadian Conference for Young Researchers in Mathematics, Calgary, Alberta.
2007
Department Service:
• Statistics Seminar Chair, Dept. of Math. & Stat. University of Alberta, Edmonton,
Alberta.
2013 - present
• Statistics Center Webmaster, Dept. of Math. & Stat. University of Alberta, Edmonton,
Alberta.
2013 - present
• Faculty Recruit Committee Member
2012-2013, 2014-2015
Professional
membership
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Statistical Society of Canada (SSC)
American Statistical Association (ASA)
Institute of Mathematical Statistics (IMS)
Eastern North American Region, International Biometric Society (ENAR)
International Chinese Statistical Association (ICSA)
Society for Industrial and Applied Mathematics (SIAM)
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