Research Output per year
Fingerprint Dive into the research topics where Xingyuan Fang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output
Optimal, two-stage, adaptive enrichment designs for randomized trials, using sparse linear programming
Rosenblum, M., Fang, E. X. & Liu, H., Jan 1 2020, (Accepted/In press) In : Journal of the Royal Statistical Society. Series B: Statistical Methodology.Research output: Contribution to journal › Article
Blessing of massive scale: spatial graphical model estimation with a total cardinality constraint approach
Fang, E. X., Liu, H. & Wang, M., Jul 1 2019, In : Mathematical Programming. 176, 1-2, p. 175-205 31 p.Research output: Contribution to journal › Article
Constructing a confidence interval for the fraction who benefit from treatment, using randomized trial data
Huang, E. J., Fang, E. X., Hanley, D. F. & Rosenblum, M., Dec 1 2019, In : Biometrics. 75, 4, p. 1228-1239 12 p.Research output: Contribution to journal › Article
Misspecified nonconvex statistical optimization for sparse phase retrieval
Yang, Z., Yang, L. F., Fang, E. X., Zhao, T., Wang, Z. & Neykov, M., Jul 1 2019, In : Mathematical Programming. 176, 1-2, p. 545-571 27 p.Research output: Contribution to journal › Article
3
Scopus
citations
Multilevel stochastic gradient methods for nested composition optimization
Yang, S., Wang, M. & Fang, E. X., Jan 1 2019, In : SIAM Journal on Optimization. 29, 1, p. 616-659 44 p.Research output: Contribution to journal › Article
2
Scopus
citations