Assistant Machine
Resume:
Yucheng Low
Machine Learning Department, Carnegie Mellon University PA 15213
****@**.***.***
Webpage: www.cs.cmu.edu/~ylow/
Education Carnegie Mellon University
Machine Learning Department, Pittsburgh PA (2008 - ongoing)
Ongoing Ph.D. in Machine Learning
Advisor: Carlos Guestrin
Carnegie Mellon University, Pittsburgh PA (2005 2008)
Bachelor of Science in Computer Science
Computer Science Major, Business Minor
Dean's List: All Semesters
Relevant Coursework:
Graduate: Machine Learning, Statistical Machine Learning, Intermediate Statistics,
Probabilistic Graphical Models, Graduate Algorithms, Statistical Robotics, Advanced
Probability Overview, Multimedia Databases and Datamining.
Undergraduate : Operating System Design and Implementation
Current Research Parallel Programming Abstractions for Machine Learning
Machine Learning must embrace parallelism to make use of the large datasets now
available. Just as Scientific Computing found great success with BLAS / LAPACK,
what are the right programming abstractions to make Machine Learning algorithms
parallel, distributed and future proof?
Research Experience Ph.D. Research with Prof. Carlos Guestrin
- Theory and Development of parallel and distributed
belief propagation for Graphical Model inference.
- Theory and development of parallel Graphical Model sampling procedures.
- Graphical Model parameter learning with kernels.
- Design and Development of a general parallel programming
abstraction for Machine Learning algorithms (ongoing)
Yahoo! Research Internship with Prof. Alexander Smola
- Design of a Hierachical Bayesian Model for cross-domain User
Personalization with a fast scalable distributed inference procedure.
Undergraduate Research Assistant with Dr. Drew Bagnell
- Development of a system which uses boosted neural networks
to detect roads and road direction in satellite imagery.
- Development of a system to perform car detection at near real-time speeds.
- Work on convergent belief propagation in pairwise Markov Random Fields
Senior Research Thesis Topic with Prof. Daniel Sleator
Application of Machine Learning Methods to the game of Go
Undergraduate Research Assistant with Dr. Christopher Geyer
- Development of a system to perform real time camera calibration
- Development of a system to solve for motion of a camera
from camera frames.
Teaching Assistant for the Graduate Machine Learning Class
Publications Residual Splash for Optimally Parallelizing Belief Propagation
J. Gonzalez, Y. Low, C. Guestrin. AISTATS 2009
Distributed Parallel Inference on Large Factor Graphs
J. Gonzalez, Y. Low, C. Guestrin, D. O'Hallaron. UAI 2009
GraphLab: A New Paralle l Framework for Machine Learning
Y. Low, J. Gonzalez, A. Kyrola, D. Bickson, C. Guestrin, J.M. Hellerstein. UAI 2010
Skills Programming Languages: C, C++, Python, Java, x86 Assembly, SML, PHP
Operating Systems: Linux, Windows
Languages, English and Chinese
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