16 citations · 23 across the 6 of their papers we have counts for
6 papers
Cross-patient Seizure Onset Zone Classification by Patient-Dependent Weight
Xuyang Zhao, Hidenori Sugano, Toshihisa Tanaka
Identifying the seizure onset zone (SOZ) in patients with focal epilepsy is essential for surgical treatment and remains challenging due to its dependence on visual judgment by cli…
MR-EEGWaveNet: Multiresolutional EEGWaveNet for Seizure Detection from Long EEG Recordings
Kazi Mahmudul Hassan, Xuyang Zhao, Hidenori Sugano +1
Feature engineering for generalized seizure detection models remains a significant challenge. Recently proposed models show variable performance depending on the training data and…
Scaling Capability in Token Space: An Analysis of Large Vision Language Model
Tenghui Li, Guoxu Zhou, Xuyang Zhao +1
Large language models have demonstrated predictable scaling behaviors with respect to model parameters and training data. This study investigates whether a similar scaling relation…
EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge
Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka
With large training datasets and massive amounts of computing sources, large language models (LLMs) achieve remarkable performance in comprehensive and generative ability. Based on…
Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition
Longhao Yuan, Jianting Cao, Qiang Wu +1
The problem of incomplete data is common in signal processing and machine learning. Tensor completion algorithms aim to recover the incomplete data from its partially observed entr…
Tensorizing Generative Adversarial Nets
Xingwei Cao, Xuyang Zhao, Qibin Zhao
Generative Adversarial Network (GAN) and its variants exhibit state-of-the-art performance in the class of generative models. To capture higher-dimensional distributions, the commo…