Ziwei Yang

Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring

Lingwei Zhu, Koki Odani, Ziwei Yang, 2022, ArXiv.

Multi-Tier Platform for Cognizing Massive Electroencephalogram

Lingwei Zhu, Ziwei Yang, Zheng Chen, 2022, ArXiv.

Automated Sleep Staging via Parallel Frequency-Cut Attention

N. Ono, T. Tamura, M. Altaf-Ul-Amin, 2022, 2204.03173.

Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder

M. Altaf-Ul-Amin, Shigehiko Kanaya, Lingwei Zhu, 2022, ArXiv.

Automated Sleep Staging via Parallel Frequency-Cut Attention

N. Ono, T. Tamura, M. Altaf-Ul-Amin, 2022, 2204.03173.

Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization

Lingwei Zhu, Ziwei Yang, Takashi Matsubara, 2022, ArXiv.

Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping

Chen Li, M. Altaf-Ul-Amin, Shigehiko Kanaya, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization

Lingwei Zhu, Ziwei Yang, Takashi Matsubara, 2022, ECML/PKDD.

Automatic Sleep Staging via Frequency-Wise Spiking Neural Networks

Ziwei Yang, Yirong Kan, Renyuan Zhang, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Exploring the Feasibility of Transformer Based Models on Question Relatedness

Chen Li, Ziwei Yang, Pei Gao, 2022, 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).

Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data

N. Ono, S. Kanaya, M. Altaf-Ul-Amin, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Enhancement on Model Interpretability and Sleep Stage Scoring Performance with A Novel Pipeline Based on Deep Neural Network

N. Ono, S. Kanaya, T. Tamura, 2022, ArXiv.

Learning vector quantized representation for cancer subtypes identification

M. Altaf-Ul-Amin, Shigehiko Kanaya, Lingwei Zhu, 2023, Comput. Methods Programs Biomed..

MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling

Yasuko Matsubara, Yasushi Sakurai, Ziwei Yang, 2023, CIKM.

Automated Sleep Staging via Parallel Frequency-Cut Attention

N. Ono, T. Tamura, M. Altaf-Ul-Amin, 2022, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Enhancement on Model Interpretability and Sleep Stage Scoring Performance with A Novel Pipeline Based on Deep Neural Network

N. Ono, S. Kanaya, T. Tamura, 2022, ArXiv.

CMOB: Large-Scale Cancer Multi-Omics Benchmark with Open Datasets, Tasks, and Baselines

Yasuko Matsubara, Ziwei Yang, Yasushi Sakurai, 2024, ArXiv.