2 citations · 2 across the 4 of their papers we have counts for
6 papers
From Segments to Trajectories: Evolving Affective Graphs with Evidence Retrieval for Continuous EEG Emotion Recognition
Chi Yang, Jihong Wang, Chengxi Xie +5
Electroencephalography (EEG)-based emotion recognition is important for affective computing and human-computer interaction, yet most existing methods divide a long trial into short…
CDBG: Causally Motivated Dual-Invariance Learning against Topological and Predictive Shifts in EEG Workload Recognition
Yuzhe Zhang, Wenmin Zhou, Chengxi Xie +5
Generalizing Electroencephalography (EEG)-based mental workload recognition to unseen subjects remains a formidable challenge due to severe inter-subject variability. While functio…
ProtoGIB-Workload: Learning Workload-Specific Neural Topology Prototypes across Subjects
Yuzhe Zhang, Yixi Zhang, Shengdian Jiang +6
Reliable electroencephalography (EEG)-based mental workload recognition is crucial for adaptive human-centered systems, yet practical deployment requires models to generalize to us…
LibEMER: A novel benchmark and algorithms library for EEG-based Multimodal Emotion Recognition
Zejun Liu, Yunshan Chen, Chengxi Xie +2
EEG-based multimodal emotion recognition(EMER) has gained significant attention and witnessed notable advancements, the inherent complexity of human neural systems has motivated su…
MIND-EEG: Multi-granularity Integration Network with Discrete Codebook for EEG-based Emotion Recognition
Yuzhe Zhang, Chengxi Xie, Huan Liu +2
Emotion recognition using electroencephalogram (EEG) signals has broad potential across various domains. EEG signals have ability to capture rich spatial information related to bra…
LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition
Huan Liu, Shusen Yang, Yuzhe Zhang +8
EEG-based emotion recognition (EER) has gained significant attention due to its potential for understanding and analyzing human emotions. While recent advancements in deep learning…