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Curriculum
Vita |
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Education
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MS/Phd Program, Computer Science,
University of Massachusetts, Amherst, MA
Sep 2000 - present
- BS
Program, Computer Science
Peking University, Beijing, China
Sep 1996 - May 2000
Teaching
Experience
- Teaching
Assistant
University of Massachusetts, Amherst, MA
Sep 2000 - May 2001
Assisted
in teaching CS201: Architecture and Assembly Language. Graded homework,
provided lab help, and held out office hours.
Research
Experience
- Research
Assistant
University of Massachusetts, Amherst, MA
Summer 2001 - present
Work
in the Center for Intelligent Information Retrieval, focusing on:
question answering, specifically, question classification
and answer extraction; named entity extraction using conditional
random fields and semi-supervised learning with Markov
random fields.
- Research
Assistant
Peking University, Beijing, China
Sep 1999 - May 2000
Worked
in the MicroProcessor R&D Center, focusing on memory and cache
design.
Related
Courses
- CS601:
Computation Theory
Formal languages, Computability, Logic, and Complexity theory
- CS646:
Information Retrieval
Retrieval models, Text representation, Query formulation, Distributed
IR
- CS683:
Artificial Intelligence
Advanced search, Knowledge representation and reasoning, Bayesian
networks, Intelligent agents architectures
- CS689:
Machine Learning: Pattern Classification
Decision trees, Bayesian decision theory, Maximum-likelihood and
Bayesian estimation, SVMs and Clustering techniques
- CS691Z:
Machine Learning: Advanced Methods
Ensemble methods, HMMs, EM, Relational learning, Semi-supervised
learning, and Advanced clustering
- CS791H:
Language Modeling
Read and discuss papers covering new developments in this area
- CS791S:
Statistical Information Extraction
Generative and conditional models, Maximum entropy methods, CRFs,
factorial Markov models, semi-supervised training methods
- CS691T:
Computational Social Network Analysis
Small world networks, power-law distributions, search and spread
of influence, dynamic network modeling
Research
Interests
Machine Learning
Information Extraction
Natural Language Processing
Information Retrieval
Question Answering
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