BISP-P14.7
EEGLUNET: FAST AND DISCRIMINATIVE EEG REPRESENTATION LEARNING IN LU-DECOMPOSED SPACE
Xingfu Wang, Wenxia Qi, Wenjie Yang, Boshang Hu, Chuman Liu, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China; Wei Wang, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences;University of Chinese Academy of Sciences, China
Session:
BISP-P14: Brain/Human Computer Interfaces I Poster
Track:
Biomedical Signal and Image Processing [BI]
Location:
Poster Area 13
Presentation Time:
Wed, 6 May, 14:00 - 16:00
Presentation
Discussion
Resources
No resources available.
Session BISP-P14
BISP-P14.1: HiSAM-MambaNet: A Dual-path Hierarchical Hybrid Architecture for Motor Imagery EEG Classification
Hui Huang, Qihang Shu, Yisu Ge, Zhaomin Chen, Wenzhou University, China
BISP-P14.2: CONFIDENCE-AWARE ADAPTIVE SEMI-SUPERVISED APPROACH FOR RELIABLE EEG-BASED EMOTION RECOGNITION
Songha Kim, Soyeon Bak, Jun-Mo Kim, Woohyeok Choi, Yebin Choi, Tae-Eui Kam, Korea University, Korea, Republic of
BISP-P14.3: MetaSPDB: A Shared-Personalized Dual-Branch Framework for Cross-Subject EEG Emotion Recognition
Hexi Li, Ling Wu, Jiacai Zhang, Fangyi Li, Beijing Normal University, China
BISP-P14.4: DECODE: DUAL-ENHANCED CONDITIONED DIFFUSION FOR EEG FORECASTING
Mehran Shabanpour, Sadaf Khademi, Concordia University, Canada; Konstantinos N Plataniotis, University of Toronto, Canada; Arash Mohammadi, Concordia University, Canada
BISP-P14.5: Multi-Scale Physiologically-Motivated Alignment for Auditory Attention Decoding
Yuxuan Ma, Technical University of Denmark, Denmark; Xiaoke Yang, Anhui University, China; Tongxi Chen, Technical University of Denmark, China; Jun Xue, Wuhan University, China; Jinqiu Sang, East China Normal University, China
BISP-P14.6: Hierarchical Multimodal HyperGraph Learning Network for EEG-fNIRS Synthesis Emotion Recognition with Random Signal Missing
Zehui Feng, Yangge Yang, Minyan Ye, Yang Bai, Ting Han, Shanghai Jiao Tong Univerisity, China
BISP-P14.7: EEGLUNET: FAST AND DISCRIMINATIVE EEG REPRESENTATION LEARNING IN LU-DECOMPOSED SPACE
Xingfu Wang, Wenxia Qi, Wenjie Yang, Boshang Hu, Chuman Liu, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China; Wei Wang, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences;University of Chinese Academy of Sciences, China
BISP-P14.8: Cognitive Load Estimation Using Brain Foundation Models and Interpretability for BCIs
Deeksha M Shama, Johns Hopkins University, United States of America; Dimitra Emmanouilidou, Ivan Tashev, Microsoft Research, United States of America
BISP-P14.9: A MULTI-DIMENSIONAL FEATURE FUSION AND MULTI-LEVEL DOMAIN ADAPTATION NETWORK FOR CROSS-SUBJECT EEG EMOTION RECOGNITION
Chuwen Xie, Rongtao Chen, Zhuoyi Huang, Jiahui Zhang, Lina Qiu, Jiahui Pan, South China Normal University, China
BISP-P14.10: LEARNING FROM PERCEPTUAL TO SEMANTIC VISUAL REPRESENTATIONS OF THE BRAIN VIA MULTI-LEVEL EEG-TO-IMAGE ALIGNMENT
YEBIN CHOI, WOOHYEOK CHOI, JUN-MO KIM, SONGHA KIM, TAE-EUI KAM, Korea University, Korea, Republic of
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