BHALead ContributorManuscript · 2026
Brain Hierarchical Alignment Improves Generalizable Visual Decoding via Bridge Priors
Hierarchical brain–visual alignment for retrieval and reconstruction.
Kunpeng Xie
I study how neural signals can be represented, aligned with, and used to interact with multimodal foundation models.
Neural Computing and Control Laboratory, SUSTech
Advised by Prof. Quanying Liu
Southern University of Science and Technology (SUSTech)
B.Eng. Candidate in Intelligent Medical Engineering · Expected 2027 · GPA: 3.73/4.00
Research Agenda
RepresentationMultimodal AlignmentClosed-loop Interaction
Neural representation learning · vision–language models · generative NeuroAI
Selected Research
BrainFLORAContributorACM Multimedia 2025
BrainFLORA: Uncovering Brain Concept Representation via Multimodal Neural Embeddings
Shared visual-semantic representations across EEG, MEG, and fMRI.
BrainWhispererContributorResearch Project
BrainWhisperer: Aligned Semantic Representations for Language Model-based Decoding
Language-model-compatible representations for neural semantic decoding.
Friends
A brain-computer interface modeling startup building a flywheel for neural data collection and model training.
A creativity-first independent team focused on practical AI products and reliable web systems.