12 citations · 12 across the 4 of their papers we have counts for
4 papers
Evaluating Parametric Car-Following Models in Naturalistic Congestion: Insights in Driver Behavior and Model Limitations
Huaidian Hou, Arpan Kusari, Brian T. W. Lin
Car-Following is a broadly studied state of driving, and many modeling approaches through various heuristics and engineering methods have been proposed. Congestion is a common traf…
Multimodal Diffusion Forcing for Forceful Manipulation
Zixuan Huang, Huaidian Hou, Dmitry Berenson
Given a dataset of expert trajectories, standard imitation learning approaches typically learn a direct mapping from observations (e.g., RGB images) to actions. However, such metho…
Benchmarking and Improving LLM Robustness for Personalized Generation
Chimaobi Okite, Naihao Deng, Kiran Bodipati +3
Recent years have witnessed a growing interest in personalizing the responses of large language models (LLMs). While existing evaluations primarily focus on whether a response alig…
Measuring the rationality in evacuation behavior with deep learning
Huaidian Hou, Lingxiao Wang
The bounded rationality is a crucial component in human behaviors. It plays a key role in the typical collective behavior of evacuation, in which the heterogeneous information lead…