Anqi Fu

Contact

anqif [at] stanford (dot) edu

Packard Building Room 243
350 Jane Stanford Way
Stanford, CA 94305

A. Fu, L. Xing, S. Boyd. “Operator Splitting for Adaptive Radiation Therapy with Nonlinear Health Constraints.” In preparation, September 2020.

A. Fu, J. Zhang, S. Boyd. “Anderson Accelerated Douglas-Rachford Splitting.” SIAM Journal on Scientific Computing, vol. 42 (6): A3560–A3583, November 2020. (Supplemental Materials)
A. Fu, B. Narasimhan, S. Boyd. “CVXR: An R Package for Disciplined Convex Optimization.” Journal of Statistical Software, vol. 94 (14): 1-34, August 2020.
A. Fu, B. Ungun, L. Xing, S. Boyd. “A Convex Optimization Approach to Radiation Treatment Planning with Dose Constraints.” Optimization and Engineering, vol. 20 (1): 277-300, March 2019.
O.J. Glembocki, R.W. Rendell, D.A. Alexson, S.M. Prokes, A. Fu, M.A. Mastro. “Dielectric-Substrate-Induced Surface-Enhanced Raman Scattering.” Physical Review B, vol. 80 (8): 085416, August 2009.
R.D. Shull, V. Provenzano, A.J. Shapiro, A. Fu, M.W. Lufaso, J. Karapetrova, G. Kletetschka, V. Mikula. “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, April 2006.
J.L. Her, K. Koyama, K. Watanabe, V. Provenzano, A. Fu, A.J. Shapiro, R.D. Shull. “High-Magnetic Field X-ray Diffraction Studies on Gd5(Ge2-xFex)Si2 (x = 0.05 and 0.2).” Materials Transactions, vol. 46 (9): 2011-2014, September 2005.

Optimization for Machine Learning, CIRM 2020, “Anderson Accelerated Douglas-Rachford Splitting.” (Slides)
useR! 2019, “CVXR: An R Package for Disciplined Convex Optimization.” (Tutorial Book)
useR! 2018, “Disciplined Convex Optimization with CVXR.” (Slides) (Video)
useR! 2016, “CVXR: An R Package for Modeling Convex Optimization Problems.” (Slides) (Video)
H2O World 2015, “Generalized Low Rank Models.” (Code)

A2DR, a Python solver using Anderson accelerated Douglas-Rachford splitting. (PyPi)
CVXR, an R package for modeling convex optimization problems. (CRAN)
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. (CRAN)