
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
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TOTAL Innovation Fellowship, TOTAL S.A. (2019 - Present)
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Stanford School of Engineering Fellowship, Stanford University (2017 - 2019)
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Excellent Graduate Award, Peking University (2017)
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National Scholarship, Ministry of Education of China (2016)
Professional Affiliations and Activities
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Member, Mathematical Optimization Society (MOS) (2019 - Present)
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Member, Society of Industrial and Applied Mathematics (SIAM) (2018 - Present)
Education & Certifications
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B.S., Peking University, Applied Mathematics (2017)
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B.S., Peking University, Computer Science (2017)
Work Experience
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Teaching Assistant, EECS, Peking University (9/2014 - 1/2015)
Teaching Assistant for Introduction to Computation (A). Topics include fundamentals of computer science, C++ programming and algorithms.
Location
Peking University, Beijing, China
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Course Assistant, Stanford University (1/2019 - 3/2019)
Course Assistant for CME 307 / MS&E 311: Optimization, Winter 2019.
Location
Stanford University
All Publications
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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