2 citations · 3 across the 5 of their papers we have counts for
5 papers
Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder
Zheng Chen, Ziwei Yang, Lingwei Zhu +5
Defining and separating cancer subtypes is essential for facilitating personalized therapy modality and prognosis of patients. The definition of subtypes has been constantly recali…
Multi-Tier Platform for Cognizing Massive Electroencephalogram
Zheng Chen, Lingwei Zhu, Ziwei Yang +1
An end-to-end platform assembling multiple tiers is built for precisely cognizing brain activities. Being fed massive electroencephalogram (EEG) data, the time-frequency spectrogra…
Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring
Lingwei Zhu, Koki Odani, Ziwei Yang +4
Recently there has seen promising results on automatic stage scoring by extracting spatio-temporal features from electroencephalogram (EEG). Such methods entail laborious manual fe…
Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data
Ziwei Yang, Lingwei Zhu, Zheng Chen +4
Cancer is one of the deadliest diseases worldwide. Accurate diagnosis and classification of cancer subtypes are indispensable for effective clinical treatment. Promising results on…
Automated Sleep Staging via Parallel Frequency-Cut Attention
Zheng Chen, Ziwei Yang, Lingwei Zhu +6
This paper proposes a novel framework for automatically capturing the time-frequency nature of electroencephalogram (EEG) signals of human sleep based on the authoritative sleep me…