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Good afternoon. My name is

Jingyun Yang

I am a second-year PhD student at Stanford University. I am fortunate to be advised by Prof. Jeannette Bohg. My research focuses on the intersection of robotics, machine learning, and vision.
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Publications

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EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation
Jingyun Yang*, Congyue Deng*, Jimmy Wu, Rika Antonova, Leonidas Guibas, Jeannette Bohg
Preprint
[ Paper ][ Website ][ Arxiv ]
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Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning
Jingyun Yang*, Max Sobol Mark*, Brandon Vu, Archit Sharma, Jeannette Bohg, Chelsea Finn
Preprint
[ Paper ][ Website ][ Arxiv ]
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Rethinking Optimization with Differentiable Simulation from a Global Perspective
Rika Antonova*, Jingyun Yang*, Krishna Murthy Jatavallabhula, Jeannette Bohg
Conference on Robot Learning (CoRL), 2022
[ Paper ][ Website ][ Arxiv ]
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Learning Periodic Tasks from Human Demonstrations
Jingyun Yang, Junwu Zhang, Connor Settle, Akshara Rai, Rika Antonova, Jeannette Bohg
IEEE International Conference on Robotics and Automation (ICRA), 2022
[ Paper ][ Website ][ Arxiv ]
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Visually-Grounded Library of Behaviors for Manipulating Diverse Objects across Diverse Configurations and Views
Jingyun Yang*, Hsiao-Yu Fish Tung*, Yunchu Zhang*, Gaurav Pathak, Ashwini Pokle, Christopher G. Atkeson, Katerina Fragkiadaki
Conference on Robot Learning (CoRL), 2021
[ Paper ][ Website ][ OpenReview ]
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Learning to Coordinate Manipulation Skills via Skill Behavior Diversification
Youngwoon Lee, Jingyun Yang, Joseph J. Lim
International Conference on Learning Representations (ICLR), 2020
[ Paper ][ Website ][ OpenReview ][ Code ]
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Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning
Karl Pertsch*, Oleh Rybkin*, Jingyun Yang, Shenghao Zhou, Konstantinos G. Derpanis, Kostas Daniilidis, Joseph J. Lim, Andrew Jaegle
Learning for Dynamics and Control (L4DC), 2020
[ Paper ][ Website ][ Arxiv ][ Video ]

Teaching

10301/10601 - Introduction to Machine Learning
CMU
Teaching Assistant
Fall 2021
36700 - Probability and Mathematical Statistics
CMU
Teaching Assistant
Spring 2021
CSCI 356 - Introduction to Computer Systems
USC
Course Producer
Spring 2020
CSCI 170 - Discrete Methods in Computer Science
USC
Course Producer
Fall 2019, Spring 2019
CSCI 270 - Introduction to Algorithms
USC
Course Producer
Fall 2018
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