Anqi Fu
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Anqi Fu Adviser: Stephen Boyd |
Contact
anqif (at) stanford (dot) edu
Packard Building Room 243
350 Serra Mall
Stanford, CA 94305
Research Interests
Large-scale optimization
Distributed algorithms
Radiation treatment planning
Working Papers
A. Fu, B. Narasimhan, S. Boyd. (2017). “CVXR: An R Package for Disciplined Convex Optimization.”
A. Fu, B. Ungun, L. Xing, S. Boyd. (2017). “A Convex Optimization Approach to Radiation Treatment Planning with Dose Constraints.”
Publications
O.J. Glembocki, R.W. Rendell, D.A. Alexson, S.M. Prokes, A. Fu, M.A. Mastro. (2009). “Dielectric-Substrate-Induced Surface-Enhanced Raman Scattering.” Phys. Rev. B, vol. 80 (8), 085416.
R.D. Shull, V. Provenzano, A.J. Shapiro, A. Fu, M.W. Lufaso, J. Karapetrova, G. Kletetschka, V. Mikula. (2006). “The Effect of Small Metal Additions (Co, Cu, Ga, Mn, Al, Bi, Sn) on the Magnetocaloric Properties of the Gd5Ge2Si2 Alloy.” Journal of Applied Physics, vol. 99 (8), 08K908.
J.L. Her, K. Koyama, K. Watanabe, V. Provenzano, A. Fu, A.J. Shapiro, R.D. Shull. (2005). “High-Magnetic Field X-ray Diffraction Studies on Gd5(Ge2-xFex)Si2 (x = 0.05 and 0.2).” Materials Transactions, vol. 46 (9), pp. 2011-2014.
Presentations
useR! 2018, “Disciplined Convex Optimization with CVXR.” [Slides]
useR! 2016, “CVXR: An R Package for Modeling Convex Optimization Problems.” [Slides] [Video]
H2O World 2015, “Generalized Low Rank Models.” [Code]
Software
CVXR, an R package for modeling convex optimization problems
ConRad, a Python library for radiation treatment planning
H2O, a Java-based distributed statistical analysis software. I was the primary developer on GLRM (generalized low rank models) and the H2O R package.
Education
Ph.D., Electrical Engineering, Stanford University, In progress
M.S., Statistics, Stanford University, 2014
M.A., Business Research, Stanford Graduate School of Business, 2012
B.S., Electrical Engineering, University of Maryland, College Park, 2009
B.A., Economics, University of Maryland, College Park, 2009