21 citations · 40 across the 9 of their papers we have counts for
9 papers
SPECTRE: Spectral Pre-training Embeddings with Cylindrical Temporal Rotary Position Encoding for Fine-Grained sEMG-Based Movement Decoding
Zihan Weng, Chanlin Yi, Pouya Bashivan +6
Decoding fine-grained movement from non-invasive surface Electromyography (sEMG) is a challenge for prosthetic control due to signal non-stationarity and low signal-to-noise ratios…
Multi-Site rs-fMRI Domain Alignment for Autism Spectrum Disorder Auxiliary Diagnosis Based on Hyperbolic Space
Yiqian Luo, Qiurong Chen, Fali Li +2
Increasing the volume of training data can enable the auxiliary diagnostic algorithms for Autism Spectrum Disorder (ASD) to learn more accurate and stable models. However, due to t…
Hierarchical feature extraction on functional brain networks for autism spectrum disorder identification with resting-state fMRI data
Yiqian Luo, Qiurong Chen, Fali Li +3
Autism Spectrum Disorder (ASD) is a pervasive developmental disorder of the central nervous system, primarily manifesting in childhood. It is characterized by atypical and repetiti…
DuA: Dual Attentive Transformer in Long-Term Continuous EEG Emotion Analysis
Yue Pan, Qile Liu, Qing Liu +6
Affective brain-computer interfaces (aBCIs) are increasingly recognized for their potential in monitoring and interpreting emotional states through electroencephalography (EEG) sig…
PR-PL: A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for EEG-Based Emotion Recognition
Rushuang Zhou, Zhiguo Zhang, Hong Fu +7
Affective brain-computer interfaces based on electroencephalography (EEG) is an important branch in the field of affective computing. However, individual differences and noisy labe…
Hierarchical emotion-recognition framework based on discriminative brain neural network topology and ensemble co-decision strategy
Cunbo Li, Peiyang Li, Yangsong Zhang +5
Brain neural networks characterize various information propagation patterns for different emotional states. However, the statistical features based on traditional graph theory may…
Hierarchical feature fusion framework for frequency recognition in SSVEP-based BCIs
Yangsong Zhang, Erwei Yin, Fali Li +4
Effective frequency recognition algorithms are critical in steady-state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs). In this study, we present a hierarch…
Reconfiguration of Brain Network between Resting-state and Oddball Paradigm
Fali Li, Chanlin Yi, Yuanyuan Liao +8
The oddball paradigm is widely applied to the investigation of multiple cognitive functions. Prior studies have explored the cortical oscillation and power spectral differing from…
Two-stage frequency recognition method based on correlated component analysis for SSVEP-based BCI
Yangsong Zhang, Erwei Yin, Fali Li +7
Canonical correlation analysis (CCA) is a state-of-the-art method for frequency recognition in steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) sys…