Personal information

Keywords

stochastic simulation, model reduction, optimization algorithm, quantitative biology, computational science and engineering, systems biology

Countries

United States

Activities

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Education and qualifications (3)

University of California Santa Barbara College of Engineering: Santa Barbara, CA, US

2008-09 to 2014-12 | Ph.D. with emphasis in Computational Science and Engineering (Computer Science)
Education
Source: Self-asserted source
Sheng Wu

Tsinghua University: Beijing, Beijing, CN

2005-08 to 2008-07 | M.S. (Electronic Engineering)
Education
Source: Self-asserted source
Sheng Wu

Tsinghua University: Beijing, Beijing, CN

2001-09 to 2005-07 | B.S. (Physics and Mathematics)
Education
Source: Self-asserted source
Sheng Wu

Works (7)

Adaptive deployment of model reductions for tau-leaping simulation

The Journal of Chemical Physics
2015 | Journal article
DOI:

10.1063/1.4921638
Source: Self-asserted source
Sheng Wu
grade
Preferred source (of 2)‎

The time dependent propensity function for acceleration of spatial stochastic simulation of reaction--diffusion systems

Journal of Computational Physics
2014 | Journal article
DOI:

10.1016/j.jcp.2014.06.025
Source: Self-asserted source
Sheng Wu

Time dependent solution for acceleration of tau-leaping

Journal of Computational Physics
2013 | Journal article
DOI:

10.1016/j.jcp.2012.10.036
Source: Self-asserted source
Sheng Wu

Automatic identification of model reductions for discrete stochastic simulation

The Journal of chemical physics
2012 | Journal article
DOI:

10.1063/1.4733563
Source: Self-asserted source
Sheng Wu

Michaelis--Menten speeds up tau-leaping under a wide range of conditions

The Journal of chemical physics
2011 | Journal article
DOI:

10.1063/1.3576123
Source: Self-asserted source
Sheng Wu

StochKit2: software for discrete stochastic simulation of biochemical systems with events

Bioinformatics
2011 | Journal article
DOI:

10.1093/bioinformatics/btr401
Source: Self-asserted source
Sheng Wu

Estimating collection size with logistic regression

Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
2007 | Conference paper
DOI:

10.1145/1277741.1277910
Source: Self-asserted source
Sheng Wu
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