Xingyuan Sun
pronounced as Shane-yuan

35 Olden Street
Princeton, NJ 08540, USA
Email: xs5 [at] princeton.edu, xingyuansun.cs [at] gmail.com

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About me

I am a third-year Ph.D. student in the Department of Computer Science at Princeton University, advised by Professor Ryan P. Adams and Professor Szymon M. Rusinkiewicz. I study machine learning and its applications across engineering, including robotics, manufacturing, and perception.

Previously, I visited MIT CSAIL, supervised by Professor Joshua B. Tenenbaum and Professor William T. Freeman. I received my undergraduate degree from Shanghai Jiao Tong University (ACM Honors Class) in 2018.
Publications & Manuscripts
arXiv preprint
IEEE International Conference on Robotics and Automation (ICRA), 2021
Conference on Neural Information Processing Systems (NeurIPS), 2020
Robotics: Science and Systems (RSS), 2020
Runzhe Yang, Xingyuan Sun, and Karthik Narasimhan
Conference on Neural Information Processing Systems (NeurIPS), 2019
International Conference on Learning Representations (ICLR), 2019
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Conference on Neural Information Processing Systems (NIPS), 2017
Education
Princeton University, Princeton, NJ, USA
Ph.D. Student in Computer Science • Sept. 2018 to present
M.A. in Computer Science • Sept. 2018 to Apr. 2020
Massachusetts Institute of Technology, Cambridge, MA, USA
Visiting Student • Jul. 2017 to May 2018
Shanghai Jiao Tong University, Shanghai, China
B.S.E. in Computer Science and Technology • Sept. 2014 to Jun. 2018
Graduated with Zhiyuan Honor Degree
Experiences
Google Research
Student Researcher (Part-Time) • Research & Machine Intelligence Team • Sept. 2019 to Nov. 2019
Research Intern • Research & Machine Intelligence Team • May 2019 to Sept. 2019
Lichtman Lab, Harvard University
Summer Intern • Aug. 2018 to Sept. 2018
Advisors: Professor Jeffrey W. Lichtman and Professor Hanspeter Pfister
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology
Research Intern • Jul. 2017 to May 2018
Advisors: Professor Joshua B. Tenenbaum and Professor William T. Freeman
Reviewer Service

Conference on Neural Information Processing Systems (NeurIPS)
International Conference on Learning Representations (ICLR)
International Conference on Machine Learning (ICML)
International Journal of Computer Vision (IJCV)
AAAI Conference on Artificial Intelligence (AAAI)
Conference on Computer Vision and Pattern Recognition (CVPR)
International Conference on Computer Vision (ICCV)
European Conference on Computer Vision (ECCV)
Teaching

Teaching AssistantCOS302, Mathematics for Numerical Computing and Machine Learning • Fall 2020 • Princeton University
Teaching AssistantCOS485, Neural Networks: Theory and Applications • Spring 2020 • Princeton University
Teaching AssistantCOS429, Computer Vision • Fall 2019 • Princeton University
Head Student Coach • ACM-ICPC Team • Academic Year 2016-2017 • Shanghai Jiao Tong University
Teaching AssistantMS208, Compiler Design and Implementation • Spring 2017 • Shanghai Jiao Tong University
Honors & Awards

ICPC World Finalist • International Collegiate Programming Contest (ICPC) World Finals 2019
5th Place • North American Invitational Programming Contest (NAIPC) 2019
2nd Place • ICPC Onsite Regionals Contest, Greater New York 2018
Upsilon Pi Epsilon
Excellent Bachelor Thesis • Shanghai Jiao Tong University
Outstanding Graduate • Shanghai Jiao Tong University
China National Scholarship • Ministry of Education of the People's Republic of China

Website source from Jon Barron (Thank Zhijian Liu for the page design).