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Xingyuan Sun pronounced as Shane-yuan Email: xingyuansun.cs [at] gmail.com Google Scholar   /   GitHub   /   LinkedIn About me I received my Ph.D. from the Department of Computer Science at Princeton University, advised by Professor Ryan P. Adams and Professor Szymon Rusinkiewicz. I studied 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 Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate. Xingyuan Sun, Tianju Xue, Szymon Rusinkiewicz, and Ryan P. Adams Conference on Neural Information Processing Systems (NeurIPS), 2021, Spotlight arxiv / github Spatial Intention Maps for Multi-Agent Mobile Manipulation. Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, and Thomas A. Funkhouser IEEE International Conference on Robotics and Automation (ICRA), 2021 project page / arxiv / github Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters. Sulin Liu, Xingyuan Sun, Peter J. Ramadge, and Ryan P. Adams Conference on Neural Information Processing Systems (NeurIPS), 2020 github Spatial Action Maps for Mobile Manipulation. Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Johnny Lee, Szymon Rusinkiewicz, and Thomas A. Funkhouser Robotics: Science and Systems (RSS), 2020 project page / arxiv / github A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation. Runzhe Yang, Xingyuan Sun, and Karthik Narasimhan Conference on Neural Information Processing Systems (NeurIPS), 2019 arxiv / github Learning to Infer and Execute 3D Shape Programs. Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, and Jiajun Wu International Conference on Learning Representations (ICLR), 2019 project page / arxiv / github 3D Shape Perception from Monocular Vision, Touch, and Shape Priors. Shaoxiong Wang*, Jiajun Wu*, Xingyuan Sun, Wenzhen Yuan, William T. Freeman, Joshua B. Tenenbaum, and Edward H. Adelson IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 project page / arxiv Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. Xingyuan Sun*, Jiajun Wu*, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, and William T. Freeman. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 project page / arxiv / github MarrNet: 3D Shape Reconstruction via 2.5D Sketches. Jiajun Wu*, Yifan Wang*, Tianfan Xue, Xingyuan Sun, William T. Freeman, and Joshua B. Tenenbaum. Conference on Neural Information Processing Systems (NIPS), 2017 project page / arxiv / github Education Princeton University, Princeton, NJ, USA Ph.D. in Computer Science • Sept. 2018 to Feb. 2023 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 Assistant • COS302, Mathematics for Numerical Computing and Machine Learning • Fall 2020 • Princeton University Teaching Assistant • COS485, Neural Networks: Theory and Applications • Spring 2020 • Princeton University Teaching Assistant • COS429, Computer Vision • Fall 2019 • Princeton University Head Student Coach • ACM-ICPC Team • Academic Year 2016-2017 • Shanghai Jiao Tong University Teaching Assistant • MS208, 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).