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I am an assistant professor in computer science department at Columbia University. My research focuses on computer vision and robotics. I’m interested in developing algorithms that enable intelligent systems to learn from their interactions with the physical world, and autonomously acquire the perception and manipulation skills necessary to execute complex tasks and assist people.
Prospective Students: current students at Columbia, please fill out this form. PhD applicants, please apply directly to the PhD program and select my name in your application.
Email: shurans at cs.columbia.edu
Office: 624 CEPSR, 530 West 120th St, New York, NY 10027
News
- Form2Fit got ICRA'20 Best Paper in Automation Award Finalist
- Nerual Illumination got CVPR'19 Best Paper Award Finalist
- TossingBot got RSS'19 Best Systems Paper Award and Best Student Paper Finalist
- TossingBot featured on the front page of The New York Times Business
- Learning Synergies between Pushing and Grasping got IROS Best Cognitive Robotics Paper Award Finalist
- Amazon Robotics Best Systems Paper Award
- 1st place winners of the stow task at the worldwide Amazon Picking Challenge with MIT
Recent Talks
- Active Scene Understanding with Robot Interactions ( Slides )
- Category-level Pose Estimation ( Slides ) at ECCV2020 Workshop on Recovering 6D Object Pose
- Learning Visual Representations for Generalizable Manipulation ( Slides ) at CVPR2020 3D Scene Understanding for Vision, Graphics, and Robotics
Publications

Zhenjia Xu, Beichun Qi, Shubham Agrawal, Shuran Song
arxiv.org/abs/2011.14206
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Zhenjia Xu*, Zhanpeng He*, Jiajun Wu, Shuran Song
Conference on Robotic Learning (CoRL) 2020
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Huy Ha*, Shubham Agrawal*, Shuran Song
Conference on Robotic Learning (CoRL) 2020
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Huy Ha, Jingxi Xu, Shuran Song
Conference on Robotic Learning (CoRL) 2020
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Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick
European Conference on Computer Vision (ECCV) 2020
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Shuran Song, Andy Zeng, Johnny Lee, Thomas Funkhouser
Intelligent Robots and Systems (IROS) 2020
Robotics and Automation Letters (RA-L) 2020
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Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Johnny Lee, Szymon Rusinkiewicz, Thomas Funkhouser
Robotics: Science and Systems (RSS) 2020
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Xiaolong Li, He Wang, Li Yi, Leonidas Guibas, A. Lynn Abbott, Shuran Song
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
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Kevin Zakka, Andy Zeng, Johnny Lee, Shuran Song
International Conference on Robotics and Automation (ICRA 2020)
Best Paper Award in Automation Finalist •
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Shreeyak S. Sajjan, Matthew Moore, Mike Pan, Ganesh Nagaraja, Johnny Lee, Andy Zeng, Shuran Song
International Conference on Robotics and Automation (ICRA 2020)
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Lin Yen-Chen, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin
International Conference on Robotics and Automation (ICRA 2020)
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Andy Zeng, Shuran Song, Stefan Welker, Johnny Lee, Alberto Rodriguez, Thomas Funkhouser
Robotics: Science and Systems 2019 (RSS 2019)
IEEE Transactions on Robotics (T-RO 2020)
Best System Paper Award Best Student Paper Finalist •
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Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua Tenenbaum, Shuran Song
Robotics: Science and Systems 2019 (RSS 2019)
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He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song , Leonidas J. Guibasi
Proceedings of 32th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2019)
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Shuran Song and Thomas Funkhouser
Proceedings of 32th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2019)
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Michelle Guo, Edward Chou, Shuran Song, De-An Huang, Serena Yeung, Li Fei-Fei
European Conference on Computer Vision (ECCV2018)
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A. Zeng, S. Song, S. Welker, J. Lee, A. Rodriguez, T. Funkhouser
Intelligent Robots and Systems (IROS) 2020
Best Cognitive Robotics Paper Award Finalist •
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S. Song, A. Zeng, A. X. Chang, M. Savva, S. Savarese, T. Funkhouser
Proceedings of 31th IEEE Conference on Computer Vision and Pattern Recognition CVPR2018
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A. Zeng, S. Song, K. Yu, E. Donlon, F. R. Hogan, M. Bauza, D. Ma, O. Taylor, M. Liu, E. Romo, N. Fazeli, F. Alet, N. C. Dafle, R. Holladay, I. Morona, P. Q. Nair, D. Green, I. Taylor, W. Liu, T. Funkhouser, A. Rodriguez (ICRA2018)
Amazon Robotics Best Systems Paper Award •
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S. Song, F. Yu, A. Zeng, A. Chang, M. Savva, T. Funkhouser
Proceedings of 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2017)
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A. Zeng, S. Song, M. Nießner, M. Fisher, J. Xiao and T. Funkhouser.
Proceedings of 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2017)
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Y. Zhang*, S. Song*, E. Yumer, M. Savva, J. Lee, H. Jin, T. Funkhouser.
Proceedings of 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2017)
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A. X. Chang, A. Dai, T. Funkhouser, M. Halber, M. Nießner, M. Savva, S. Song , A. Zeng, Y. Zhang
IEEE International Conference on 3D Vision (3DV 2017)
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A. Zeng, K.T. Yu, S. Song, D. Suo, E. Walker Jr., A. Rodriguez, and J. Xiao
International Conference on Robotics and Automation (ICRA2017)
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S. Song, and J. Xiao.
Proceedings of 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2016)
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A. Chang, T. Funkhouser, L. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, J. Xiao, L. Yi, and F. Yu.
arXiv:1512.03012 [cs.CV] 9 Dec 2015
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S. Song, S. Lichtenberg and J. Xiao
Proceedings of 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2015)
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Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang and J. Xiao
Proceedings of 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2015)
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S. Song, L. Zhang, and J. Xiao.
arXiv:1507.02703 [cs.CV] 9 Jul 2015
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F. Yu, A. Seff, Y. Zhang, S. Song and J. Xiao.
arXiv:1506.03365 [cs.CV] 10 Jun 2015
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S. Song and J. Xiao
Proceedings of the 13th European Conference on Computer Vision (ECCV2014)
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Y. Zhang, S. Song, P. Tan, and J. Xiao
Proceedings of the 13th European Conference on Computer Vision (ECCV2014)
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S. Song and J. Xiao
Proceedings of 14th IEEE International Conference on Computer Vision (ICCV2013)
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Teaching
- COMS 4733 Computational Aspects of Robotics, 2020 Fall
- COMS 6998 Topics in Robot Learning, 2019 Fall
- Teaching Assistant: Princeton COS126 General Computer Science, 2015
- Teaching Assistant: HKUST ELEC1100 Introduction to Electro-Robot Design , 2011,2012
- Teaching Assistant: HKUST ELEC1200A System View of Communications: from Signals to Packets, 2011