Ruihan Qin — accepted AI-conference papers

2024

BNMTrans: A Brain Network Sequence-Driven Manifold-Based Transformer for Cognitive Impairment Detection Using EEG

Ruihan Qin, Zhenxi Song, Huixia Ren, Zian Pei, Lin Zhu, Xue Shi +4

ICASSP 2024accepted

Identifying mild cognitive impairment (MCI) is vital for Alzheimer’s disease prevention. As neurodegenerative diseases progress, synchronous activity in electroencephalography (EEG) - indicating functional connectivity - changes due to neural system deterioration. Thus, developing geometric learning…

Cited by 0 Source ↗Scholar ↗

2024

Fusing Multi-Level Features from Audio and Contextual Sentence Embedding from Text for Interview-Based Depression Detection

Junqi Xue, Ruihan Qin, Xinxu Zhou, Honghai Liu, Min Zhang, Zhiguo Zhang

ICASSP 2024accepted

Automatic depression detection based on audio and text representations from participants’ interviews has attracted widespread attention. However, most of previous researches only used one type of feature of one single modality for depression detection, so that the rich information of audio and text…

Cited by 0 Source ↗Scholar ↗