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Sep. 2012 ~ Present |
M.S. in Pattern Recognition, School of Automation
Science and Electrical Engineering ,Beihang University,Beijing,
P.R.China |
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Sep.2008 ~ Jul.2012 |
B.E. in Automation, Minzu University School
of Information and Engineering, Beijing, P.R.China |
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Natural Language Processing , Cross-modal Retrieval, Machine
Learning
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Cross-modal retrieval system based on Chinese Database
Text POS tagging based on semantics and syntax
information
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Framework: We are interested in a
generative model of text associated with two latent variables: semantic
topics and syntax classes. Combining syntax and semantics into a
coherent probabilistic generative model for texts tagging. It is an
extension and generation of LDA and Bayes-HMM that is designed to
understand the short-range dependencies between words. The LDA model is
used to get the topic information while the syntax classes are generated
through a Bayesian HMM . Posterior inference is
used to solve the problem in topic and syntax models.
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- Jing Yu, Yonghui Cong, Zengchang
Qin, and Tao Wan (2012), Cross-Modal Topic Correlations
for Multimedia Retrieval, ICPR 2012.
- Yonghui Cong, Zengchang Qin, Jing Yu and Tao Wan
(2012), Cross-Modal Information Retrieval - A Case Study on Chinese
Wikipedia, ADMA 2012.
- Zengchang Qin, Jing Yu, Yonghui Cong and Tao
Wan(2013), Topic Correlation Model for Cross-modal Multimedia
Information Retrieval, Submit to PAA.
- 2012-Excellent graduate in Beijing
- 2012-The Baosteel outstanding student award
- 2011-Miyoshi students of Beijing
- 2008~2012-Scholarship for Excellent Academic Performance (4 times)
Minzu University
- 2011-The second prize of Mathematical Modeling Minzu
University
- 2011-Third Prize in National “TI” Cup Internet of Things Contest
- 2009-The National Scholarship Minzu University
- Jul.2012 –
Sep.2012 Siemens
(China) CT
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Copyleft © 2011
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