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Education:
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Ph.D Computer Science
University of California, Riverside
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Sep, 2004 ~ Aug, 2008 (expected)
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B.S. Computer Science
Nanjing University, Nanjing, P.R.China
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Sep, 1997 ~ Jun, 2001
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Working Experience:
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Database Support Engineer
Microsoft, Shanghai, P.R.China
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Jul, 2001 ~ Aug, 2004
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My primary research interest is in algorithms and computational biology. I am also interested in data compression,
data mining and machine learning. My advisor is Prof. .
Research Projects:
- Genetic Linkage Mapping: This is a collaborative projects with
my advisor Dr. Lonardi, Prof. from
the Botany and Plant Sciences department who is also the PI of this project, and Prasanna Bhat who is a post-doc in Dr. Close's lab.
The main purpose of this project on my side is to
build a consensus genetic linkage map for Barley. Along the way of building such a consensus map, we have developed two
new software tools, i.e. MSTMap and CMap, which can be applied to other organisms in general. MSTMap can be downloaded from
.
- Genome-Wide TagSNP Selection: In this project, we aimed to
select a smallest set of tagging Snips for a set of Snips under consideration. We developed a new software tool named LRTag,
which can be accessed on-line at . The collaborators of this project are
,
Dr. Lonardi and .
- BAC-gene Deconvolution: The objective of
this project is to deconvolute the relationships between BACs and genes, i.e. to figure out which BAC contains
which gene. We have proposed a new method which combines the outcomes of a light-weight combinatorial pooling and the physical map
of the underlying BACs for the deconvolution of BAC-gene relationships. The python script that performs the actual deconvolution can be downloaded from
- Error-Resilient LZW: In this project, we identified a new
way of embedding error-detection and/or error-correction bits into the LZW data streams. The prototype implementation of the newly proposed LZW scheme can be
downloaded from
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Conference Publications:
- A Linear-Time Algorithm for Predicting Functional Annotations from Protein-Protein Interaction Networks.
Y. Wu, S. Lonardi
BIOKDD 2007 - 7th International Workshop on Data Mining in Bioinformatics, 35-41, San Jose, 2007.
- Efficient and Accurate Construction of Genetic Linkage Maps from Noisy and Missing Genotyping Data.
Y. Wu, P. Bhat, T. J Close, S. Lonardi
WABI 2007 - Workshop on Algorithms in Bioinformatics, LNBI 4645, pp.395-406, Philadelphia PA, 2007.
- Efficient Algorithms for Genome-Wide TagSNP Selection Across Populations via the Linkage Disequilibrium Criterion.
L. Liu, Y. Wu, S. Lonardi, T. Jiang
CSB 2007 - Computational Systems Bioinformatics Conference, 67-78, San Diego CA, 2007.
- Deconvoluting the BAC-Gene Relationships Using a Physical Map.
Y. Wu, L. Liu, T. Close, S. Lonardi
CSB 2007 - Computational Systems Bioinformatics Conference, 203-214, San Diego CA, 2007.
- Two Level Microprocessor-Accelerator Partitioning.
S. Sirowy, Y. Wu, S. Lonardi, F. Vahid
DATE 2007 - Design, Automation and Test in Europe, pp.313-318, Nice, France, 2007.
- Clock-Frequency Assignment for Multiple Clock Domains Systems-on-a-chip.
S. Sirowy, Y. Wu, S. Lonardi, F. Vahid
DATE 2007 - Design, Automation and Test in Europe, pp.397-402, Nice, France, 2007.
- Error-Resilient LZW Data Compression.
Y. Wu, S. Lonardi, W. Szpankowski
DCC 2006 - IEEE Data Compression Conference, 193-202, Snowbird, Utah, 2006.
Journal Publications:
- A Linear-Time Algorithm for Predicting Functional Annotations from Protein-Protein Interaction Networks.
Y. Wu, S. Lonardi
Journal of Bioinformatics and Computational Biology, () to appear, 2008.
- Length-based Encoding of Binary Data in DNA.
N. G. Portney, Y. Wu, L. K. Quezada, S. Lonardi, M. Ozkan
Langmuir, (): to appear, 2008.
- Deconvoluting BAC-gene Relationships Using a Physical Map.
Y. Wu, L. Liu, T. Close, S. Lonardi
Journal of Bioinformatics and Computational Biology, () to appear, 2008.
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I have been a TA for the following courses so far:
- Winter 2005, CS010: Introduction to Computer Science for Science, Mathematics, and Engineering I
- Spring 2005, CS010: Introduction to Computer Science for Science, Mathematics, and Engineering I
- Fall 2005, CS141: Intermediate Data Structures and Algorithms
- Winter 2006, CS141: Intermediate Data Structures and Algorithms
- Spring 2006, CS150: The Theory of Automata and Formal Languages
I received The Outstanding Teaching Assistant Award by University of California, Riverside Graduate Division in 2005-2006 academic year.
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| Last updated on Mar 31 2008 |
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