2026 Shuran Song: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Rising Stars	51	285	285	48	48	91	28242
Computer Science	52	4946	4810	2299	2220	91	24965

Research.com Recognitions

2025 - Research.com Rising Stars Award

Overview

Shuran Song is affiliated with Stanford University in the United States. Their research spans multiple fields within engineering and computer science with a focus on robotics and machine learning.

The scientist has contributed extensively to academic literature, with publications in prominent venues. Frequent publication outlets include:

arXiv (Cornell University)
The International Journal of Robotics Research
IEEE Robotics and Automation Letters
Autonomous Robots
2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Key topics in Shuran Song's research involve:

Robot Manipulation and Learning
Multimodal Machine Learning Applications
Reinforcement Learning in Robotics
Human Pose and Action Recognition
Robotic Path Planning Algorithms
3D Shape Modeling and Analysis
Domain Adaptation and Few-Shot Learning

Subfields that feature prominently in their work include:

Computer Vision and Pattern Recognition
Artificial Intelligence
Control and Systems Engineering
Biomedical Engineering
Computational Mechanics

Frequent collaborators in their research efforts are:

Eric Cousineau
Benjamin Burchfiel
Samir Yitzhak Gadre
Siyuan Feng
Zhenjia Xu

Notable recent publications by Shuran Song include:

"ShapeNet: An Information-Rich 3D Model Repository," 2023, Zenodo (CERN European Organization for Nuclear Research)
"TossingBot: Learning to Throw Arbitrary Objects With Residual Physics," 2020, IEEE Transactions on Robotics
"Diffusion policy: Visuomotor policy learning via action diffusion," 2024, The International Journal of Robotics Research
"Grasping in the Wild: Learning 6DoF Closed-Loop Grasping From Low-Cost Demonstrations," 2020, IEEE Robotics and Automation Letters
"TidyBot: personalized robot assistance with large language models," 2023, Autonomous Robots

The accumulation of publications shows a consistent concentration on robotic manipulation, computer vision, and learning methods applicable to autonomous systems and human-robot interaction. The venues and topics indicate engagement with both foundational research and applied robotics.

Best Publications

3D ShapeNets: A deep representation for volumetric shapes

Zhirong Wu;Shuran Song;Aditya Khosla;Fisher Yu

5138
Citations
ShapeNet: An Information-Rich 3D Model Repository

Angel X. Chang;Thomas A. Funkhouser;Leonidas J. Guibas;Pat Hanrahan

2234
Citations
SUN RGB-D: A RGB-D scene understanding benchmark suite

Shuran Song;Samuel P. Lichtenberg;Jianxiong Xiao

1978
Citations
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Fisher Yu;Yinda Zhang;Shuran Song;Ari Seff

1841
Citations
Matterport3D: Learning from RGB-D Data in Indoor Environments

Angel Chang;Angela Dai;Thomas Funkhouser;Maciej Halber

1716
Citations
Semantic Scene Completion from a Single Depth Image

Shuran Song;Fisher Yu;Andy Zeng;Angel X. Chang

1274
Citations
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions

Andy Zeng;Shuran Song;Matthias NieBner;Matthew Fisher

1087
Citations
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images

Shuran Song;Jianxiong Xiao

788
Citations
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation

He Wang;Srinath Sridhar;Jingwei Huang;Julien Valentin

606
Citations
Learning Synergies Between Pushing and Grasping with Self-Supervised Deep Reinforcement Learning

Andy Zeng;Shuran Song;Stefan Welker;Johnny Lee

542
Citations
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching

Andy Zeng;Shuran Song;Kuan-Ting Yu;Elliott Donlon

522
Citations
Sliding Shapes for 3D Object Detection in Depth Images

Shuran Song;Jianxiong Xiao

517
Citations
Matterport3D: Learning from RGB-D Data in Indoor Environments

Angel Chang;Angela Dai;Thomas Funkhouser;Maciej Halber

516
Citations
Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching:

Andy Zeng;Shuran Song;Kuan-Ting Yu;Elliott Donlon

489
Citations
Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge

Andy Zeng;Kuan-Ting Yu;Shuran Song;Daniel Suo

474
Citations
TossingBot: Learning to Throw Arbitrary Objects With Residual Physics

Andy Zeng;Shuran Song;Johnny Lee;Alberto Rodriguez

375
Citations
Tracking Revisited Using RGBD Camera: Unified Benchmark and Baselines

Shuran Song;Jianxiong Xiao

346
Citations
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks

Yinda Zhang;Shuran Song;Ersin Yumer;Manolis Savva

290
Citations
PanoContext: A Whole-Room 3D Context Model for Panoramic Scene Understanding

Yinda Zhang;Shuran Song;Ping Tan;Jianxiong Xiao

288
Citations
TidyBot: Personalized Robot Assistance with Large Language Models

Unknown

248
Citations
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions

Andy Zeng;Shuran Song;Matthias Nießner;Matthew Fisher

98
Citations

Frequent Co-Authors

Thomas Funkhouser Google (United States)

Jianxiong Xiao AutoX, Inc.

Alberto Rodriguez MIT

Manolis Savva Simon Fraser University

Leonidas J. Guibas Stanford University

Angel X. Chang Simon Fraser University

Yinda Zhang Google (United States)

Fisher Yu ETH Zurich

Hod Lipson Columbia University

Jiajun Wu Stanford University

External Links

Personal website of Shuran Song Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring a future in Computer Science extends beyond traditional on-campus programs. Students now have flexible online options to accelerate their education and launch their careers faster. For instance, those seeking a quicker pathway to a recognized credential may consider accelerated associate degree online programs, which can be completed in as little as six months.

Cost is a major factor when selecting a program. Many prospective students search for the online business degree cost to find budget-friendly options, while others aim for an affordable online bachelor's degree to minimize debt.

If your interests combine technology and engineering, you can also explore the cheapest online engineering degree options available. These online pathways can help you gain industry-relevant skills and prepare for a variety of roles in computer science, business, and engineering with greater flexibility and lower cost.