Ming Su     

                                                                       

Ph.D. Candidate
Department of Statistics and Department of Electrical Engineering
University of Washington
Seattle, WA 98195, USA
Office: C312 Padelford
Email: mingsu at u dot washington dot edu
Homepage: http://students.washington.edu/mingsu/

 

[Research] [Education] [Publications] [Curriculum] [Links]

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Research

Approximate probabilistic inference in graphical model, with application to statistical genetic analysis.

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Education

• Ph.D. Candidate, expected: Autumn 2010.
  Department of Electrical Engineering, University of Washington.
  Co-advisors: Elizabeth A. Thompson and C.-J. Richard Shi

• M.S., Computer Engineering, 09/2003 - 06/2005.
  Department of Electrical and Computer Engineering, Boston University.

• B.S., Microelectronics, 09/1998 - 07/2002.
  Department of Computer Science and Technology, Peking University, Beijing, P.R. China.

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Publications

1. Ming Su.
   On the Convergence of Convex Relaxation Method and Distributed Optimization of Bethe Free Energy.
   To appear in Proceedings of the 11th International Symposium on Artificial Intelligence and Mathematics
   (ISAIM), Fort Lauderdale, Florida, January 2010.

 

2. Ming Su, Lili Zhou, C.J. Shi.
   Maximizing the Throughput-Area Efficiency of Fully-Parallel Low-Density Parity-Check Decoding with C-Slow Retiming and Asynchronous Deep Pipelining.
   In Proceedings of the 25th IEEE International Conference on Computer Design
   (ICCD), Lake Tahoe, California, 636-643, October 2007.

 

3. Konrad J. Kulikowski, Ming Su, Alexander B. Smirnov, Alexander Taubin, Mark G. Karpovsky, Daniel MacDonald.
   Delay Insensitive Encoding and Power Analysis: A Balancing Act.
   In Proceedings of the 11th International Symposium on Asynchronous Circuits and Systems
   (ASYNC), New York City, 116-125, March 2005.

 

4. Alexander B. Smirnov, Alexander Taubin, Ming Su, Mark G. Karpovsky.
   An Automated Fine-Grain Pipelining Using Domino Style Asynchronous Library.
   In Proceedings of the 5th International Conference on Application of Currency to System Design
   (ACSD), St Malo, France, 68-76, June 2005

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Curriculum

Spring 2010
MATH583 Enumerative Combinatorics (II)

Winter 2010
MATH582 Graph Theory, HCDE401 Style in Scientific and Technical Writing

Autumn 2009
MATH581 Enumerative Combinatorics (I)

Spring 2009
MATH516 Numerical Optimization

Winter 2009
EE578 Convex Optimization and Applications, STAT538 Scientific and Statistical Computing (Graphical Model)
MATH582 B Convex Optimization Algorithms

Autumn 2008
MATH514 Network Optimization

Summer 2008
EE505 Probability and Random Process, STAT550 Statistical Genetics (I) (Distance Learning)

Autumn 2005
EE518 Digital Signal Processing, EE473 Linear Analog IC.

Winter 2006
MATH515 Fundamental of Optimization, EE541 Automatic Layout of Integrated Circuits, CSE521 Design and Analysis of Algorithms (І).

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Links