Ziwei Yang

According to our database, Ziwei Yang authored at least 17 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Can Large Language Models Replace Data Scientists in Clinical Research?

Zifeng Wang, Benjamin P. Danek, Ziwei Yang, Zheng Chen, Jimeng Sun

CoRR, 2024

GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation.

Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun

CoRR, 2024

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

Ziwei Yang, Rikuto Kotoge, Zheng Chen, Xihao Piao, Yasuko Matsubara, Yasushi Sakurai

CoRR, 2024

2023

Learning vector quantized representation for cancer subtypes identification.

Zheng Chen, Ziwei Yang, Lingwei Zhu, Peng Gao, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin

Comput. Methods Programs Biomed., June, 2023

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

Ziwei Yang, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MFHCC: Multi-View Feature Hierarchical Contrastive Clustering Model for Multi-Omics Data.

Zongli Jiang, Hongwei Ren, Ziwei Yang, Jinli Zhang, Zheng Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder.

Zheng Chen, Ziwei Yang, Lingwei Zhu, Guang Shi, Kun Yue, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin

CoRR, 2022

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

Zheng Chen, Ziwei Yang, Ming Huang, Toshiyo Tamura, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

CoRR, 2022

Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization.

Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Multi-Tier Platform for Cognizing Massive Electroencephalogram.

Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Exploring the Feasibility of Transformer Based Models on Question Relatedness.

Honglin Shu, Pei Gao, Ziwei Yang, Chen Li, Man Wu

Proceedings of the 24th IEEE 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, 2022

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

Lingwei Zhu, Ziwei Yang, Koki Odani, Guang Shi, Yirong Kan, Zheng Chen, Renyuan Zhang

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data.

Ziwei Yang, Lingwei Zhu, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping.

Ziwei Yang, Lingwei Zhu, Chen Li, Zheng Chen, Naoki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Automatic Sleep Staging via Frequency-Wise Spiking Neural Networks.

Haohui Jia, Ziwei Yang, Pei Gao, Man Wu, Chen Li, Yirong Kan, Renyuan Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer.

Ziwei Yang, Dong Wang, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks.

Zheng Chen, Ziwei Yang, Dong Wang, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021