Siyuan Gao is a 3rd year Ph.D. student at Yale University.
Siyuan's research interests are in applied machine learning, manifold learning, network science and neuroimage. During his undergraduate, he also did research in data visualization. He is very fortunate to work with Professor Dustin Scheinost and Professor Gal Mishne and Professor Todd Constable. Currently he is trying to understand human brain's dynamic property under designed tasks or natural stimuli using machine learning and signal processing technique.Read More...
B.Sc., Math and Applied Math
2012 - 2016, Zhejiang University, China
Ph.D., Engineering and Applied Science
2016 - , Yale University, U.S.A
Feb 2019One paper accepted at IPMI 2019, see you in Hong Kong!
Feb 2019One paper accepted at NeuroImage.
July 2018One paper accepted at 2018 Conference on Cognitive Computational Neuroscience (CCN2018), see you in Phily.
May 2018One paper accepted at Nature Communications.
Apr 2018One paper accepted at MICCAI 2018, see you in Granada!
Dec 2017One paper accepted at IEEE ISBI 2018.
Oct 2017I presented our paper RCLens: Interactive Rare Category Exploration and Identification at IEEE VIS 2017.
Email: [email protected]
Address: The Anlyan Center
300 Cedar Street
New Haven, CT