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Lu Xiaoling

Date of Birth: August 1977
Office: Room 1018, Mingde Main Building
Email: xl_lu2002@yahoo.com.cn

EDUCATION


Ph.D in Management Sciences, September 2004 – August 2007
Department of Management Sciences, City University of Hong Kong, Hong Kong, China

Master of Philosophy in Probability and Statistics, September 1999 – July 2002
Department of Mathematics, Nankai University, Tian Jin, China

Bachelor in Probability and Statistics, September 1995 – July 1999
Department of Mathematics, Nankai University, Tian Jin, China

ACADEMIC EXPERIENCE

  • Research Assistant for Knowledge Discovery Center and Statistical Consulting Unit at Department of Management Sciences, City University of Hong Kong, 2001-2004
  • Visiting Department of Applied Statistics at Johannes Kepler University of Linz, Austria, February – June 2007

RESEARCH INTERESTS

Applied Statistics: Data Mining; Statistical Modeling in TV Audience Viewing Behavior (PhD thesis); E-Commerce Customers and Web Browsers Behavior Analysis; Consumer Behavior and Satisfaction, Customer Relationship Management; Bayesian Forecasting; Discrete Choice Models; Random-Coefficient Models

AWARDS AND HONORS

  1. Best Paper Award, The 6th International Conference on Information and Management Sciences, Lhasa, China (2007)
  2. The Outstanding Academic Performance Award for Research Degree Students, City University of Hong Kong (2006)
  3. Research Tuition Scholarship, City University of Hong Kong (2005, 2006)
  4. First-Class GuangHua Scholarship, Nankai University (2000)
  5. The Privilege to Enter the Graduate Program at Nankai University, Waiving the  National Entrance Examination (1999)
  6. Outstanding Student of Nankai University (1996,1997,1998,1999)
  7. P&G Scholarship (1998)
  8. Second-Class Scholarship of Nankai University (1998)
  9. Jiu-Zhang Mathematics Scholarship, Nankai University (1996,1997)
  10. First-Class Scholarship of Nankai University (1996,1997)

PUBLICATION

  1. Lo, H.P., Z. NG and X.L. Lu (2003), Mining Loyal Customers: A Practical Use of the Repeat Buying Theory, in Wai-Ki Ching and Michael Kwok-Po Ng (2003), Advances in Data Mining and Modeling, World Scientific, p167-181
  2. Lu, Xiaoling (2007), Modeling of Television Audience Viewing Behavior, PhD Thesis, City University of Hong Kong
  3. Lu, Xiaoling and Hing-Po Lo (2007), Television Audience Satisfaction: Antecedents and Consequences, Journal of Advertising Research, 47 (3), 354-363, (SSCI)
  4. Lu, Xiaoling and Hing-Po Lo (2007), Modeling Diffusion Patterns of Television Programs, Journal of the Academy of Marketing Science, under review, (SSCI)
  5. Lu, Xiaoling and Hing-Po Lo (2008), Repeat Viewing and Viewing Intensity of TV Programs, Journal of Advertising Research, under review, (SSCI)
  6. Lu, Xiaoling and Xizhi Wu (2007), Data Mining on the Purchase Behaviors of the Electronic Commerce Customers, Statistics & Information Forum, 22 (3), 29-32
  7. Lu, Xiaoling (2007), A Study on Bank Customers’ Risk Tolerance of Investment, Application of Statistics and Management, 26 (6),1062-1065
  8. Lu, Xiaoling and Xizhi Wu (2008), A New Customer Selection Method Based on Repeat Buying Theory, Statistical Research, 25 (8), 85-87
  9. Lu, Xiaoling and Fei Ji (2008), A Study on 3G Service’s Potential Customers in Guangdong Province, Application of Statistics and Management, 27(1),17-22
  10. Lu, Xiaoling (2008), Mining E-Commerce Customers’ Online Purchasing Behavior, Beijing International Conference on Machine Learning and Data Mining 2008, Beijing, China
  11. Lu, Xiaoling and Hing-Po Lo (2007), Repeat Viewing and Viewing Intensity of TV Programs, The 6th International Conference on Information and Management Sciences, Lhasa, China (Best Paper Award)
  12. Ji, Fei and Xiaoling Lu (2007), 3G Open Service Architecture and Customer-Driven 3G Service Development, The 6th International Conference on Information and Management Sciences, Lhasa, China
  13. Lu, Xiaoling and Hing-Po Lo (2006), Forecasting the Number of Audience of TV Programs: A Bayesian Approach, The 26th International Symposium on Forecasting, Santander, Spain
  14. Lu, Xiaoling and Hing-Po Lo (2006), Modeling Diffusion Patterns of Television Programs, INFORMS International Conference in Hong Kong 2006, Hong Kong
  15. Lu, Xiaoling and Hing-Po Lo (2005), Using SAS to Manipulate Huge Volume of Data and Conduct CRM, SAS Academic User Group Conference 2005, Hong Kong
  16. Wang, Yonggui, Hing-Po Lo, Zuomin Wu, and Xiaoling Lu (2005), How Relationship Benefits Drive Customer Asset of a Firm: A Theoretical Framework and Empirical Investigation, The Second IEEE International Conference on Service Systems and Service Management, China
  17. Lo, Hing-Po, Mei-Yee Li, and Xiaoling Lu (2005), A Use of the Prospect Theory in the Study of Travelers’ Choice – Evidence from the West Rail Experience, The 10th International Conference of Hong Kong Society for Transportation Studies, Hong Kong
  18. Lo, Hing-Po, Xiaoling Lu (2002), A Scoring Model for Loyal Customers in Directing Marketing – A Practical Use of the Repeat Buying Theory, Workshop on Data Mining and Modeling, Institute of Mathematical Research, The University of Hong Kong
  19. Lo, Hing-Po, Xiaoling Lu and Miriam Chan (2001), Improving the Web Design – Mining Web Data at Cityjob.com, The Fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining, Hong Kong

RESEARCH AND CONSULTING PROJECTS

  1. Statistical Modeling the TV Audience Viewing Behavior, Research Grant of Renmin University of China (ID: 2007000785), 2008-2009
    (To analyze first-time reach, repeat viewing, viewing intensity, and viewing behavior during commercial break of TV audience, to provide suggestions for scheduling the TV programs and ads.)
  2. A Study on 3G Telecom Service, Science and Technology Department, Guangdong Province, China, 150,000RMB, (ID: 2005B50101006), Oct. 2005 – Oct. 2007
    (Collaboration with South China University of Technology; Designing questionnaire and organizing street survey for 3G service’s potential customers in Guangzhou, Shenzhen and Zhongshan cities of Guangdong Province; Analyzing data and writing report to provide suggestions to Telecom companies and policy decision makers)
  3. A Study on the Viewing Patterns of the Television Audience for Television Broadcasts Limited, Hong Kong , Oct. 2004 – Dec. 2005
    (Designing questionnaire and organizing telephone survey for Television Broadcasts Limited; Analyzing data and writing report to study audience loyalty and satisfaction to provide suggestions for program scheduling)
  4. Hong Kong Customer Satisfaction Index, Hong Kong, Oct. 2003 – June 2004
    (Writing programs to analyze data for project “Hong Kong Customer Satisfaction Index” at Department of Management Sciences, City University of Hong Kong)
  5. Risk Tolerance of Investment for Wing Lung Bank, Hong Kong, June – Dec. 2002
    (Analyzing customer data for Wing Lung Bank to study their risk tolerance and provide recommendation on investment)
  6. Understanding E-Commerce Customers – Their Characteristics, Their Purchase Patterns and More, Hong Kong, May – Oct. 2002
    (Mining KDD Cup Data 2000 to study e-commerce customers’ online purchasing behavior)
  7. A New Customer Selection Method for Direct Marketing – Based on Repeat Buying Theory, Hong Kong, Oct. 2001 – May 2002
    (Mining DMEF2 data to propose a new customer selection method for direct marketing)
  8. A Study to Identify Significant Factors for Predicting Academic Performance of Business Students at City University of Hong Kong, Hong Kong, June – Nov. 2001
    (Analyzing students’ academic performance before and after entering City University of Hong Kong to provide recommendation on selection criteria)
  9. Data Mining of Charge Card Database for Wing On Store, Hong Kong, Apr. – July 2001
    (Mining customers’ charge card data for Wing On Store to study their purchase behavior and loyalty)
  10. Improving the Web Design – Mining Web Data at SCMP.com, Hong Kong, Dec. 2000 – May 2001
    (Mining web log data for SCMP.com to study web browsers’ behavior and provide suggestion for improving web design)

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