most citedDomain-Specific Denoising Diffusion Probabilistic Models for Brain Dynamics

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2024

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…

cs.RO2024

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…

cs.LG2024

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,…

cs.CL2024

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…

cs.HC20233 cited

Domain-Specific Denoising Diffusion Probabilistic Models for Brain Dynamics

Yiqun Duan, Jinzhao Zhou, Zhen Wang +3

The differences in brain dynamics across human subjects, commonly referred to as human artifacts, have long been a challenge in the field, severely limiting the generalizability of…