Stars
[ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
The official code of paper "Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition through Contrastive Learning" (AAAI 2025)
[ICLR‘25 Spotlight] LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models
Starter code for the BOLDMoments fMRI video dataset
This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.
AcadHomepage: A Modern and Responsive Academic Personal Homepage
[ECCV 2024] UMBRAE: Unified Multimodal Brain Decoding | Unveiling the 'Dark Side' of Brain Modality
[ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels
Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)
Codebase for publication "Neural decoding from stereotactic EEG: accounting for electrode variability across subjects" @ NeurIPS (2024)
[ICLR 2025] Pyramidal Flow Matching for Efficient Video Generative Modeling
[CVPR 2024 Highlight] Official PyTorch implementation of "MindBridge: A Cross-Subject Brain Decoding Framework"
Using vision-language models to decode natural image perception from non-invasive brain recordings.
A curated list of recent diffusion models for video generation, editing, and various other applications.
A collection of logo and banner images for Shanghai Jiao Tong University (SJTU). 上海交通大学校徽
Repository for the 2023 NeurIPS paper "Scaling laws for language encoding models in fMRI"
[TNNLS-2023] This is the PyTorch implementation of LGGNet.
This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
[ICLR 2024 spotlight] Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy
Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.
A latent text-to-image diffusion model
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
[ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer