Quanying Liu

MindPilot: Closed-loop Visual Stimulation Optimization for Brain Modulation with EEG-guided Diffusion

Inferring brain plasticity rule under long-term stimulation with structured recurrent dynamics

SLIM-Brain: A Data- and Training-Efficient Foundation Model for fMRI Data Analysis

CBP: Learning Shared Cognitive Basis Space and Connectivity Patterns for Cross-Task Brain Dynamics Modeling

Generalization Error Bound via Embedding Dimension and Network Lipschitz Constant

Brain Signal Rendering: Unifying EEG Video Representations for Subject-level Few-shot Learning

Scale-Invariance in AI Representation Predicts AI-Brain Alignment

Semantic-guided Contrastive Learning for EEG Multimodal Decoding of Listening and Watching

BrainWhisperer: Learning Aligned Semantic Representations from Brain Activity for Language Model-based Decoding

DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability

Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning

Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Modulating Individual Human Percepts

A closed-loop EEG-based visual stimulation framework from controllable generation

Understanding the Connection between Low-Dimensional Representation and Generalization via Interpolation

Dynamic Compression Strategies for Uniform Low-Dimensional Representations in Human Brain and Neural Network