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.
Resume
Github
LinkedIn
Scholar
Contact
Publications
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
]
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
]
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
]
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
]
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
]
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
]
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