Huangyuan Su

According to our database, Huangyuan Su authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

Self-Improving Language Models with Bidirectional Evolutionary Search.

Guowei Xu, Zhenting Qi, Huangyuan Su, Weirui Ye, Himabindu Lakkaraju, Sham M. Kakade, Yilun Du

CoRR, May, 2026

Reliability and Effectiveness of Autonomous AI Agents in Supply Chain Management.

Carol Xuan Long, David Simchi-Levi, Feng Zhu, Huangyuan Su, Andre P. Calmon, Flávio P. Calmon

CoRR, May, 2026

Intent-aligned Formal Specification Synthesis via Traceable Refinement.

Zhe Ye, Aidan Z. H. Yang, Huangyuan Su, Zhenyu Liao, Samuel Tenka, Zhizhen Qin, Udaya Ghai, Dawn Song, Soonho Kong

CoRR, April, 2026

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