Area of research
Cognitive Neuroscience · Neurology
Research interest
Research interests include EEG and Brain-Computer Interfaces, Neural dynamics and brain function, Functional Brain Connectivity Studies, and Transcranial Magnetic Stimulation Studies.
All-in-One: Smartphone-Based Intelligent Photonic mHealth System for Plantar and Cardiorespiratory Monitoring
Joint Fine-Grained Representation Learning and Masked Relational Modeling for EEG-Based Automatic Sleep Staging in Fabric Space
Alterations in Multidimensional Functional Connectivity Architecture in Preschool Children with Autism Spectrum Disorder.
Identification of Children With Autism Spectrum Disorder Based on Multidimensional EEG Feature Fusion Across Temporal-Spectral-Spatial Domains.
Development of Portable TMS-MEP Device for Emergency Medicine
MSTFDN: An EEG-fNIRS multimodal spatial-temporal fusion decoding network for personalized multi-task scenarios
LARSNet: A Lightweight Asymmetric Residual Siamese Network for SSVEP-Based Brain–Computer Interfaces
Mental Stress Recognition Based on Multimodal Representation Learning of Heart–Brain Interactions
Identifying autism spectrum disorder diagnosis in children via temporal-frequency hyperdimensional computing with resting-state EEG
Brain-Inspired Broad Learning Framework: Spiking Neural Network for Enhanced EEG Prediction
Convolutional Dynamically Convergent Differential Neural Network for Brain Signal Classification
Human high-order thalamic nuclei gate conscious perception through the thalamofrontal loop.
AI-Enabled Scalable Smartphone Photonic Sensing System for Remote Healthcare Monitoring
Cross-species characterization of transcranial ultrasound propagation
Spatiospectral dynamics of electroencephalography patterns during propofol-induced alterations of consciousness states
All-in-One: Smartphone-Based Intelligent Photonic mHealth System for Plantar and Cardiorespiratory Monitoring
DeepSeek or ChatGPT: Can brain‐computer interfaces/brain‐inspired computing achieve leapfrog development with large AI models?
Binary Channel Fuzzy Self-Adjusted Neural Network for Solving Time-Changing QP Problems
TDCS Modulates Brain Functional Networks in Children with Autism Spectrum Disorder: A Resting-State EEG Study
Transcranial Direct Current Stimulation Can Modulate Brain Complexity and Connectivity in Children with Autism Spectrum Disorder: Insights from Entropy Analysis.
A New Multi-Mode, High Pressure Portable Transcranial Ultrasound Stimulation System
The changes in neural complexity and connectivity in thalamocortical and cortico-cortical systems after propofol-induced unconsciousness in different temporal scales
Quantifying task-locked information transmission between cortical areas with TMS-EEG
Multiscale static and dynamic brain functional network analysis reveals aberrant connectivity patterns in preschool children with autism spectrum disorder
Parietal rTMS Induced Changes in Cortical Excitability in Patients With Minimally Conscious State Using TMS-EEG.
Effects of Transcranial Direct Current Stimulation on Excitatory/Inhibitory Balance and Behavior in Children With Autism-A Randomized Controlled Study.
Evaluating individual sensitivity to propofol through EEG complexity and information integration: from neural dynamics to precision anesthesia.
An Exploration of the Electrocorticogram Signatures Evoked by Ultrasound Thalamus Stimulation Under Isoflurane Anesthesia in Rats
Multi-Scale Coupling Between LFP and EMG in Mice by Low-Intensity Pulsed Ultrasound Stimulation With Different Number of Tone-Burst
A methodological guideline for consciousness assessment via neural electrophysiological activity.