
Honglin Yuan
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017
Masters Student in Computational and Mathematical Engineering, admitted Summer 2018
Bio
I am a second-year Ph.D. Candidate at ICME. Before coming to Stanford, I graduated from Peking University with B.S. degrees in Computational Mathematics and Computer Science. My current research interests lie in optimization and machine learning theory.
Honors & Awards
-
TOTAL Innovations Scholars Award, TOTAL S.A. (2020 - Present)
-
TOTAL Innovation Fellowship, TOTAL S.A. (2019 - 2020)
-
Stanford School of Engineering Fellowship, Stanford University (2017 - 2019)
-
Excellent Graduate Award, Peking University (2017)
-
National Scholarship, Peking University (2016)
Professional Affiliations and Activities
-
Member, Society of Industrial and Applied Mathematics (SIAM) (2018 - Present)
-
Member, Institute for Operations Research and the Management Sciences (INFORMS) (2019 - Present)
-
Member, Mathematical Optimization Society (MOS) (2019 - Present)
Education & Certifications
-
B.S., Peking University, Applied Mathematics (2017)
-
B.S., Peking University, Computer Science (2017)
Work Experience
-
Course Assistant (for CME 307), Stanford University (2019 - 2020)
Course Assistant for CME 307 / MS&E 311: Optimization
Location
Stanford University
All Publications
-
Global Optimization with Orthogonality Constraints via Stochastic Diffusion on Manifold
Journal of Scientific Computing
2019
View details for DOI 10.1007/s10915-019-00971-w