activity
20242026
collaborators

5 papers

math.DS2026

Completely parabolic surfaces are Veech

Inbo Gottlieb Fenves

We prove that completely parabolic translation surfaces are Veech, answering a question of Smillie-Weiss.

cs.CV2026

FAIR-ESI: Feature Adaptive Importance Refinement for Electrophysiological Source Imaging

Linyong Zou, Liang Zhang, Xiongfei Wang +9

An essential technique for diagnosing brain disorders is electrophysiological source imaging (ESI). While model-based optimization and deep learning methods have achieved promising…

cs.LG2025

IEFS-GMB: Gradient Memory Bank-Guided Feature Selection Based on Information Entropy for EEG Classification of Neurological Disorders

Liang Zhang, Hanyang Dong, Jia-Hong Gao +5

Deep learning-based EEG classification is crucial for the automated detection of neurological disorders, improving diagnostic accuracy and enabling early intervention. However, the…

eess.SP2025

Automated Detection of Epileptic Spikes and Seizures Incorporating a Novel Spatial Clustering Prior

Hanyang Dong, Shurong Sheng, Xiongfei Wang +7

A Magnetoencephalography (MEG) time-series recording consists of multi-channel signals collected by superconducting sensors, with each signal's intensity reflecting magnetic field…

cs.CV2024

LV-CadeNet: A Long-View Feature Convolution-Attention Fusion Encoder-Decoder Network for EEG/MEG Spike Analysis

Kuntao Xiao, Xiongfei Wang, Pengfei Teng +8

The analysis of interictal epileptiform discharges (IEDs) in magnetoencephalography (MEG) or electroencephalogram (EEG) recordings represents a critical component in the diagnosis…