98 citations · 213 across the 20 of their papers we have counts for
20 papers
Neuro-Cognitive Reward Modeling for Human-Centered Autonomous Vehicle Control
Zhuoli Zhuang, Yu-Cheng Chang, Yu-Kai Wang +2
Recent advancements in computer vision have accelerated the development of autonomous driving. Despite these advancements, training machines to drive in a way that aligns with huma…
BrainStack: Neuro-MoE with Functionally Guided Expert Routing for EEG-Based Language Decoding
Ziyi Zhao, Jinzhao Zhou, Xiaowei Jiang +6
Decoding linguistic information from electroencephalography (EEG) remains challenging due to the brain's distributed and nonlinear organization. We present BrainStack, a functional…
AEGIS: Human Attention-based Explainable Guidance for Intelligent Vehicle Systems
Zhuoli Zhuang, Cheng-You Lu, Yu-Cheng Fred Chang +3
Improving decision-making capabilities in Autonomous Intelligent Vehicles (AIVs) has been a heated topic in recent years. Despite advancements, training machines to capture regions…
BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding
Jinzhao Zhou, Yiqun Duan, Fred Chang +3
The remarkable success of large language models (LLMs) across various multi-modality applications is well established. However, integrating large language models with humans, or br…
Enhancing End-to-End Autonomous Driving Systems Through Synchronized Human Behavior Data
Yiqun Duan, Zhuoli Zhuang, Jinzhao Zhou +3
This paper presents a pioneering exploration into the integration of fine-grained human supervision within the autonomous driving domain to enhance system performance. The current…
Masked EEG Modeling for Driving Intention Prediction
Jinzhao Zhou, Justin Sia, Yiqun Duan +3
Driving under drowsy conditions significantly escalates the risk of vehicular accidents. Although recent efforts have focused on using electroencephalography to detect drowsiness,…