Justin Yu

According to our database, Justin Yu authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models.

Alireza Ghaffari, Justin Yu, Mahsa Ghazvini Nejad, Masoud Asgharian, Boxing Chen, Vahid Partovi Nia

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023

Effectively Rearranging Heterogeneous Objects on Cluttered Tabletops.

Kai Gao, Justin Yu, Tanay Sandeep Punjabi, Jingjin Yu

IROS, 2023

Poster Abstract: A Testbed for Context Representation in Physical Spaces.

Murtadha Aldeer, Yuan Sun, Nandana Pai, Joseph Florentine, Justin Yu, Jorge Ortiz

Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

2021

Deep Multi-Modal Contact Estimation for Invariant Observer Design on Quadruped Robots.

Tzu-Yuan Lin, Ray Zhang, Justin Yu, Maani Ghaffari

CoRR, 2021

A smart agent guided contactless data collection system amid a pandemic.

Murtadha Aldeer, Justin Yu, Tahiya Chowdhury, Joseph Florentine, Jakub Kolodziejski, Richard E. Howard, Richard P. Martin, Jorge Ortiz

Proceedings of the MobiSys '21: The 19th Annual International Conference on Mobile Systems, Applications, and Services, Virtual Event, Wisconsin, USA, 24 June, 2021

Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention.

Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning.

Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr H. Pong, Aurick Zhou, Justin Yu, Sergey Levine

Proceedings of the 38th International Conference on Machine Learning, 2021

Poster: Maestro - An Ambient Sensing Platform With Active Learning To Enable Smart Applications.

Tahiya Chowdhury, Murtadha Aldeer, Shantanu Laghate, Justin Yu, Qizhen Ding, Joseph Florentine, Jorge Ortiz

Proceedings of the EWSN '21: Proceedings of the 2021 International Conference on Embedded Wireless Systems and Networks, 2021

Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events.

Tzu-Yuan Lin, Ray Zhang, Justin Yu, Maani Ghaffari

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Investigating the biological impacts of radio transmissions: poster abstract.

Murtadha Aldeer, Joseph Florentine, Justin Yu, Liam Ryan, Zhenzhou Qi, Jakub Kolodziejski, Mike Haberland, Richard E. Howard, Richard P. Martin

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

The Ingredients of Real World Robotic Reinforcement Learning.

Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine

Proceedings of the 8th International Conference on Learning Representations, 2020