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Research |
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An
Overview |
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What am I doing now? |
| I
am working with Prof.
Panagiotis G. Ipeirotis and Prof.
Anindya Ghose in the Center
for Digital Economy Research (CeDER) on The
EconoMining Project @ NYU. Generally, I am interested
in econometric modeling and economics of information systems.
More specifically, now I am trying to understand the economic
values of different product characteristics, by analyzing
various types of User-Generated Content from
social media, combining techniques from text mining, image
classification, geo-tagging and human annotations with
demand estimation. |
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Housing Market Analysis and Forecast:
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| I worked as a summer research intern at
Microsoft Virtual Earch & Local Search group in 2008.
I was working on analyzing and forecasting the housing market in Great Seattle Area
based on econometric and spatio-temporal modeling.
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Medical Image Mining: |
| Previously, I
also worked on data preprocessing and data mining in Brain Imaging.
We were trying to find an efficient way to transform the brain
images (multidimensional arrays of data) to data representations
which are amenable to data mining techniques. |
| First, we transfer the 3-D images into a 2-D matrix,
with each row in the matrix representing one subject, and with
each column representing one feature value for each pixel in
the image slice. Then we perform SVM classification algorithm
on them, and try to find certain subject whose brain image data
contains abnormal regions compared to those normal ones. In
this way, we will be able to detect certain disease at the earliest
time. |
Weblog
Data Mining:
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I also worked on exploring data mining techniques on the
web data with special features, for instance, the recently
appearing BLOG data. People tent to place their real feelings
or true thoughts on their BLOGs, instead of taking surveys
or interviews by the media. Therefore, mining BLOG data will
help us know what people truely consider about certain social
issues, as well as their real opinions towards certain business
product.
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To
retrieve useful information from the BLOG documents, we first
built up a BLOG document database by transferring the HTML
web page files into text files. Then we applied certain algorithms
and transfer these text files into a Word-by-Page matrix,
which was used for further analysis. After this data pre-processing
procedure, we conducted feature selection to reduce the feature
space and also get rid of some noises. In this case, we could
finally perform our data mining algorithms on these data and
try to find interesting information.
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Projects |
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Papers & Publications |
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Towards Designing Ranking Systems for Hotels on Travel
Search Engines: Combining Text mining with Demand Estimation
in the Hotel Industry. Proceedings of the 2009 Workshop
on Information Technology and Systems (WITS 2009), Phoenix,
December, 2009. (with Anindya Ghose and Panagiotis G. Ipeirotis) |
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Stay
Elsewhere? Improving Local Search for Hotels Using Econometric
Modeling and Image Classification (WebDB 2008,
in conjunction with ACM SIGMOD/PODS 2008, Vancouver, Canada.
Continuing work based on 1,2,
(with Anindya Ghose and Panagiotis G. Ipeirotis) |
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2 Improving
Local Search for Hotels Using Econometric Modeling and Image
Classification. Microsoft Virtual Earth and Location
Summit, Redmond, WA, May, 2008. (with Anindya Ghose and Panagiotis
G. Ipeirotis) |
| 1 Stay Elsewhere? The
Economic Impact of Location-based Hotel Features: A View from Remote
Sensing Image Analysis. Winter Conference on
Business Intelligence, March, 2008, Salt Lake City, Utah. (with Anindya Ghose and
Panagiotis G. Ipeirotis) |
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Master's Thesis: Clustering Weblog Documents,
May, 2007. |
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Beibei Li, Shuting Xu, Jun Zhang: Enhancing
Clustering Blog Documents by Utilizing Author/Reader Comments.
In Proceedings of the 45th ACM Southeast Conference (ACMSE
2007), pp.94-99, March 23-24, 2007, Winston-Sale, North Carolina,
U.S.A |
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Beibei Li, Jiajin Le: Privacy
Preserving Association Rule Mining in Distributed Environments,
National Data Base Conference 2005 (NDBC 2005), Inner Mogul,
China, August 2005. |
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Feng He, Jiajin Le, Beibei Li: Research
About Integration Based on Web Service Through An E-learning
System, IEEE 2005 International Conference on Service Operations
and Logistics, and Informatics, Beijing, China, August 2005.
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Beibei Li, Jiajin Le: Application
of Web Service in Web Mining.
International Symposium on Computational and Information Sciences
(CIS'04), Shanghai, China, 2004. (Certificate of Appreciation
Award) Springer-VerlagEs Lecture Notes in Computer Science (LNCS)
series. |
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Beibei Li, Xiaoping Zhong, et al: Web-Based
Courseware Implementation. Chapter 1: Web-Based Courseware
Foundation, Chapter 8: Interactive Web-Based Teaching System
Development, edited by Jingcheng Zhao, Posts & Telecom
Press, 2004. |
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Awards |
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Doctoral Student Fellowship, Leonard N. Stern School of Business,
New York University, Sept. 2008-present. |
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Student Travel Support from Graduate School Fellowship of University of Kentucky, Spring, 2007. |
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First Prize for paper presentation, 20th Annual EKU Symposium
in the Mathematical, Statistical and Computer Sciences, Mar
31, 2006. |
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Editor's Choice Award for Outstanding Achievement in Poetry,
International Library of Poetry, July 2006. |
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Seventeen other Fellowships and Awards in my B.S/M.S study in
China, 1999-2005. |
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Presentations
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| Stay Elsewhere? Improving Local Search for Hotels Using Econometric Modeling and Image Classification WebDB 2008, in conjunction with ACM SIGMOD/PODS 2008, Vancouver, Canada. |
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Local Search for Hotel and Restaurants Using Econometrics Modeling and Image Classification.Virtual Earth Academic Research Collaboration 2007 RFP Awards Summits. April 30 - May 1, 2008. Redmond, Washington. |
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Stay Elsewhere? The
Economic Impact of Location-based Hotel Features: A View from Remote
Sensing Image Analysis. Winter Conference on
Business Intelligence, March 20-22, 2008, Salt Lake City, Utah. |
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Enhancing Clustering Blog Documents by Utilizing Author/Reader Comments. Mar. 2007. North Carolina. |
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Bookmarks |
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