$ Last generated: Wed May 31 14:06:19 2017 EST $
|| The Likes-R-Us project
aims to study various properties and latent relationships found among
"Like" activities and the "Like" networks formed thereof. We study the
questions involving the structures, influences, and contexts found in
Like networks, and their influences and impacts toward users in
|| The Social
Circle project develops methods to: (1) detect the discrepancies
between users' information sharing expectations and actual information
disclosure; (2) design a user-centered yet computationally-efficient
formal model of user privacy in social networks; and (3) develop a
mechanism to effectively enforce privacy policies in the proposed
model. In particular, this project develops a concept of Social
Circles to model social network access within a Restricted Access and
Limited Control framework.
|| The HUman-in-the-Loop Computation (HULC)
project investigates novel problems and solutions to use both machines and human in harmony
for computationally challenging tasks arising in Databases, Information Retrieval, Recommender Systems, and WWW domains. For instance, we develop novel algorithms to efficiently compute Top-k queries via crowdsourcing, or collaborative filtering techniques with the sparsity and cold start problem addressed by crowdsourcing.
||The SUM (Social User Mining) project aims to develop novel algorithmic solutions, working prototypes, and innovative applications for mining diverse demographic and profile information of users (e.g., gender, age, marital/parental status, home location, job, political opinions, religion) in social network sites such as Facebook, Twitter, and Foursquare.
In the MOP
(Mobile-Optimized Page) project, we investigate techniques to improve
the mobile-friendliness of web pages (i.e., whether pages are rendered well in mobile web browsers) in diverse contexts and
The concept of Web Services has been recently proposed as
a means to achieve the true Intelligent Semantic Web paradigm,
but it still lacks of many necessary functionalities. In the Atherton
project, in particular, we are interested in developing a new Web
Services modeling methodology, Web Services generation and
composition framework, and Web Services based applications.
||The LeeDeo (LEarning
and Educational viDEO search engine and digital library framework)
attempts to build web-scale academic video digital libraries using
the search engine paradigm. In particular, we are developing
techniques to automatically crawl and identify so-called academic
videos, and to extract relevant video metadata therein.
||The I-SEE project
develops three creative learning modules in Second Life on
topics in computer security: (1) a learning module to
improve students' understanding of what can be done to help
businesses protect themselves against obvious security
threats; (2) a learning module to develop a deep
understanding of the inner workings of complex security
software and hardware; and (3) a learning module that
promotes awareness and education of security issues using
Second Life as a digital storytelling platform.
||In the Data Linkage
project, we re-visit the traditional record linkage problem to cope
with novel challenges such as intricate interplay of match vs. merge
steps, increased scalability, and agile adaptivility. In particular,
as solutions to the challenges, we study four sub-problems: the
googled linkage, parallel linkage, group linkage, and adaptive linkage
||Is a journal A in a field X
better than a journal B in a field Y? Which venues are
the best place to submit your papers? Currently, there is no
universally agreed method to answer these interesting questions. In
the AppleRank project, toward these
questions, we aim at developing a novel framework that can rank
bibliographic entities (termed as "apples") better.
||In order to meet needs for flexible and
efficient support of access control systems for the XML
model, the L3 project explores
how to leverage on techniques developed for relational
access control systems.
|| In the QUAGGA project,
we investigate research issues in the "Quality of Data" (QoD) to
achieve clean databases. The existence of poor or erroneous data in
databases causes the so-called Garbage-in, Garbage-out problem.
As the sources of data become diverse, their formats become
heterogeneous, and the volume of data grows rapidly, maintaining and
improving the quality of such data gets harder. Therefore, in this
project, we study database-centric data quality and cleaning problems.
||The OpenDBLP project renovates the old DBLP system into
a Web Services based on-line digital library, where not only human users but also software agents can issue queries to retrieve bibliographic information.
As a killer application, the DBLP system itself was completely simulated with the Google flavour, too.