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About MeI am a final-year Ph.D.
student in the Computer Science Department at the University of Maryland, College Park. My main research interests are in
information retrieval, machine learning, and text mining, with an emphasis on efficient and scalable methods
for managing, learning, and retrieving information from large-scale data. I have a Master's degree
from the Computer Science Department, University of Wisconsin, Madison, and a Bachelor's degree from the Computer Science and Engineering Department, University of Florida. My primary advisor is Prof. Jimmy Lin. My Ph.D. thesis focuses on the intersection of large-scale information retrieval and
machine learning. It led to the "Learning to Efficiently Rank" framework for learning large-scale ranking
models that facilitate effective and fast retrieval by exploiting and optimizing the
tradeoffs between model complexity (i.e., speed) and accuracy. More details can be found in SIGIR
2011, SIGIR 2010, and CIKM 2010 papers below. In addition, I have also worked on problems
in natural language processing and databases.
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News
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Refereed Conference PublicationsA Cascade Ranking Model for Efficient Ranked Retrieval Ranking under Temporal Constraints Learning to Efficiently Rank Context-based Message Expansion for Disentanglement of Interleaved Text
Conversations Matching Person Names Through Name Transformation Personal Name-Matching Through Name Transformation Predictive Modeling-based Data Collection in Sensor Networks
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Workshop and Technical ReportsOf Ivory and Smurfs: Loxodontan MapReduce Experiments for Web Search UMD and USC/ISI: TREC 2010 Web Track Experiments with Ivory Badger: An Entropy-based Web Search Clustering System with Randomization and
Voting Aggregate Sharing in Stream Databases
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Experience
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Professional Activities
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Other Academics Information
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