R Package: eegwhiten
Published:
R Package Developer
A comprehensive toolkit implementing various whitening transformations (PCA, ZCA, Cholesky) for EEG signal preprocessing.
Posts by Collection
portfolio
R Package: DA4BCI
Published:
R Package Developer
Implemented geometric data augmentation techniques on the Riemannian manifold to improve Motor Imagery EEG classification.
Kaggle Silver Medal: HMS - Harmful Brain Activity Classification
Published:
Rank: 98/2767 (Top 4%) | Silver Medal
Developed a deep learning pipeline using EfficientNet and Weighted Ensembling to classify seizures and harmful brain patterns from EEG signals.
R Package: TensorEEG
Published:
R Package Developer
A physics-constrained simulation engine for generating synthetic 3rd-order EEG tensors ($Time imes Space imes Trial$) with ground-truth validation.
R Package: BCIFeatR
Published:
R Package Developer
A feature-engineering toolkit for EEG-based BCI pipelines with 9 extraction methods, Riemannian geometry utilities, and a unified train/test API.
Desktop App: NeuroStream
Published:
Application Developer
A real-time BCI motor imagery streaming application with four selectable pipelines (CSP, FBCSP, TS+LDA, TS+SVM), Euclidean Alignment, and live performance visualization.
Python Package: DA4BCI
Published:
Python Package Developer
Python port of the DA4BCI R package — a unified framework for domain adaptation in EEG-based BCI with 10 methods, evaluation metrics, and benchmarking tools.
Web App: MSDA-Bench
Published:
Application Developer
An interactive Streamlit dashboard for benchmarking multi-source domain adaptation strategies in cross-session EEG classification.
research
Cross-Session BCI Transfer: A Matched Comparison of Global and Selective Pooling
Working Paper (Under Review)
A matched comparison of global vs. selective source-session pooling strategies for cross-session EEG transfer, with confidence-interval gating for robust strategy selection.
Drift-Feature-Performance Decomposition in MI-EEG via Structured Geometric Modeling
Working Paper (Under Review)
A geometric framework that diagnoses BCI performance degradation by separating signal drift into raw sensor variability and feature-space distortions.
Balancing Performance and Stability in Motor Imagery EEG Decoding: A Linear-First Approach
Working Paper (Under Review)
Proposing a ‘Linear-First’ decision rule using Paired Non-Inferiority Tests (TOST) to balance decoding accuracy against computational cost.
Tensor Multiple Canonical Correlation Analysis (TMCCA): A Framework for Multi-View High-Dimensional Data Integration
Working Paper (In Preparation)
A novel tensor-based statistical framework extending MCCA to high-dimensional datasets, preserving structural information in multi-view neuroimaging analysis.
talks
Cross-Session BCI Transfer: A Matched Comparison of Global and Selective Pooling
Published:
Authors: Yiming Shen, David Degras (University of Massachusetts Boston)
Benchmarking Classification Pipelines Within and Across Sessions on the PhysioNet EEG Dataset
Published:
Authors: Yiming Shen, David Degras (University of Massachusetts Boston)