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于国宁
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5+ year research
Data Science / Machine Learning
in application to
Neuroscience and Mathematics
Ph. D. Mathematics
Georgia State University
B. Sc. Mathematics
Lanzhou University
I'm a postdoctoral researcher and computational neuroscientist working in Insanally Lab at University of Pittsburgh. I received my Ph. D. in Mathematics at Georgia State University with Drs. Guantao Chen and Yaroslav Molkov as my supervisors. My current interests are in machine learning, computational neuroscience, and graph theory.
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List of My
Yaroslav I. Molkov, Guoning Yu, Jessica Ausborn, Julien Bouvier, Simon M. Danner, Ilya A. Rybak
R. Soc. Open Sci. 2024; 11(8):240207.
Guantao Chen, Guoning Yu*
Preprint, Submitted July 2023.
Guantao Chen, Yanli Hao, Guoning Yu*
J. Graph Theory. 2023; 105: 315-332.
Guantao Chen, Yanli Hao, Guoning Yu*
J. Graph Theory. 2023; 104: 360-371.
*Authors in pure maths papers are listed in alphabetical order by convention. See the Culture Statement from American Mathematical Society.
Some of My Academic
2023 Mar.
AMS 2023 Spring Southeastern Sectional Meeting
• A decomposition method on solving the linear arboricity conjecture
2023 Feb.
Graph Theory Seminar @ Georgia Institute of Technology
• A polynomial time algorithm for the fractional \(f\)-density
2022 Nov.
Neuroscience 2022 Poster Session
• On the role of sensory feedback and central neuronal interactions in locomotor gait and balance control in quadrupeds
2022 Oct.
34th Midwestern Conference on Combinatorics and Combinatorial Computing
• A decomposition method on solving the linear arboricity conjecture
2021 Aug.
Atlanta Lecture Series in Combinatorics and Graph Theory
• Linear arboricity of degenerate graphs
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