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20202026
most citedEEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification

1 citations · 2 across the 9 of their papers we have counts for

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cs.LG2026

A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis

Mingzhi Chen, Yiyu Gui, Guibo Luo +1

Brain signal analysis is essential for both neuroscience research and clinical diagnostics, yet current approaches face critical limitations. End-to-end models require task-specifi…

cs.LG2026

SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning

Yiyu Gui, Mingzhi Chen, Yuesheng Zhu +2

Physiological signals such as EEG, ECG, and PPG are widely used in clinical monitoring. Recent self-supervised learning (SSL) methods offer an attractive way to leverage unlabeled…

cs.LG2026

MedTS-TTT: Test-Time Training for Medical Time Series Classification

Mingzhi Chen, Yiyu Gui, Guibo Luo

Medical time series (MedTS) signals such as electroencephalography (EEG) and electrocardiography (ECG) support many clinical applications. However, substantial subject-level hetero…

cs.LG2025

Stronger Normalization-Free Transformers

Mingzhi Chen, Taiming Lu, Jiachen Zhu +2

Although normalization layers have long been viewed as indispensable components of deep learning architectures, the recent introduction of Dynamic Tanh (DyT) has demonstrated that…

cs.LG2020★ 1 cited

Spectral Clustering with Smooth Tiny Clusters

Hengrui Wang, Yubo Zhang, Mingzhi Chen +1

Spectral clustering is one of the most prominent clustering approaches. The distance-based similarity is the most widely used method for spectral clustering. However, people have a…