Huangyuan Su

According to our database, Huangyuan Su authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

Characterization and Mitigation of Training Instabilities in Microscaling Formats.

Huangyuan Su, Mujin Kwun, Stephanie Gil, Sham M. Kakade, Nikhil Anand

CoRR, June, 2025

Interpreting the Linear Structure of Vision-language Model Embedding Spaces.

Isabel Papadimitriou, Huangyuan Su, Thomas Fel, Naomi Saphra, Sham M. Kakade, Stephanie Gil

CoRR, April, 2025

Data-Efficient Multi-Agent Spatial Planning with LLMs.

Huangyuan Su, Aaron Walsman, Daniel Garces, Sham M. Kakade, Stephanie Gil

CoRR, February, 2025

2024

Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following.

Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff Schneider, Katerina Fragkiadaki

CoRR, 2024

Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving.

Adam Villaflor, Brian Yang, Huangyuan Su, Katerina Fragkiadaki, John M. Dolan, Jeff G. Schneider

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Diffusion-ES: Gradient-Free Planning with Diffusion for Autonomous and Instruction-Guided Driving.

Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff G. Schneider, Katerina Fragkiadaki

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning.

Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Reinventing Policy Iteration under Time Inconsistency.

Nixie S. Lesmana, Huangyuan Su, Chi Seng Pun

Trans. Mach. Learn. Res., 2022

Representation Gap in Deep Reinforcement Learning.

Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou

CoRR, 2022