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Hua Li, PhD

Hua Li, PhD

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Personal Information
Organization / Workplace
Greater New York City Area United States
Occupation
Senior Research Scientist at Leidos
Industry
Education
About
Strong interdisciplinary background in computing, psychology, and neurobiology. Track record in scientific research and publication. Demonstrated ability to design and develop software solutions and to conduct creative research. Ability to lead team effort in application development under tight time constraints. Analytic background and application expertise in areas including: user modeling, personalization, recommendation systems, distributed database systems, machine learning, data mining, and Web applications. Highlights: 1. In 2014, I participated in the NIST TREC 2014 contextual suggestion competition and was ranked #2 among 17 participating teams from academia and industry arou...
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Documents

(8)
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2014-User Modeling for Contextual Suggestion-TREC

9 years ago • 192 Views

2015-User Modeling of Skills and Expertise from Resumes-KMIS

9 years ago • 390 Views

2014-Adaptive Interest Modeling Improves Content Services at the Network Edge-MILCOM

9 years ago • 109 Views

2012-Discovering Virtual Interest Groups across Chat Rooms-KMIS

9 years ago • 182 Views

2010-INCREMENTAL USER MODELING WITH HETEROGENEOUS USER BEHAVIORS-30628

9 years ago • 169 Views

2003-An adaptive nearest neighbor search for a parts acquisition ePortal-p693-alonso

9 years ago • 108 Views

2005-Model-guided information discovery for intelligence analysis-p269-alonso

9 years ago • 112 Views

2009-Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning-iccbr09

9 years ago • 185 Views
Personal Information
Organization / Workplace
Greater New York City Area United States
Occupation
Senior Research Scientist at Leidos
Industry
Education
About
Strong interdisciplinary background in computing, psychology, and neurobiology. Track record in scientific research and publication. Demonstrated ability to design and develop software solutions and to conduct creative research. Ability to lead team effort in application development under tight time constraints. Analytic background and application expertise in areas including: user modeling, personalization, recommendation systems, distributed database systems, machine learning, data mining, and Web applications. Highlights: 1. In 2014, I participated in the NIST TREC 2014 contextual suggestion competition and was ranked #2 among 17 participating teams from academia and industry arou...

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