98 citations · 213 across the 20 of their papers we have counts for
6 papers · 1 filter
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,…
Towards Linguistic Neural Representation Learning and Sentence Retrieval from Electroencephalogram Recordings
Jinzhao Zhou, Yiqun Duan, Ziyi Zhao +4
Decoding linguistic information from non-invasive brain signals using EEG has gained increasing research attention due to its vast applicational potential. Recently, a number of wo…
MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for End-to-End Autonomous Driving
Yiqun Duan, Xianda Guo, Zheng Zhu +3
Current multi-modality driving frameworks normally fuse representation by utilizing attention between single-modality branches. However, the existing networks still suppress the dr…
Contrastive learning-based agent modeling for deep reinforcement learning
Wenhao Ma, Yu-Cheng Chang, Jie Yang +2
Multi-agent systems often require agents to collaborate with or compete against other agents with diverse goals, behaviors, or strategies. Agent modeling is essential when designin…