An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks. - Zheng Chen 012; Ziwei Yang 002; Dong Wang 044; Ming Huang 002; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (BIBM, 2021)

Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer. - Ziwei Yang 002; Dong Wang 044; Zheng Chen 012; Ming Huang 002; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (BIBM, 2021)

Automatic Sleep Staging via Frequency-Wise Spiking Neural Networks. - Haohui Jia; Ziwei Yang 002; Pei Gao; Man Wu; Chen Li 027; Yirong Kan; Renyuan Zhang (BIBM, 2022)

Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping. - Ziwei Yang 002; Lingwei Zhu; Chen Li 027; Zheng Chen 012; Naoki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (BIBM, 2022)

Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data. - Ziwei Yang 002; Lingwei Zhu; Zheng Chen 012; Ming Huang 002; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (EMBC, 2022)

Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring. - Lingwei Zhu; Ziwei Yang 002; Koki Odani; Guang Shi; Yirong Kan; Zheng Chen 012; Renyuan Zhang (EMBC, 2022)

Exploring the Feasibility of Transformer Based Models on Question Relatedness. - Honglin Shu; Pei Gao; Ziwei Yang 002; Chen Li 027; Man Wu (HPCC/DSS/SmartCity/DependSys, 2022)

Multi-Tier Platform for Cognizing Massive Electroencephalogram. - Zheng Chen 012; Lingwei Zhu; Ziwei Yang 002; Renyuan Zhang (IJCAI, 2022)

Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization. - Zheng Chen 012; Lingwei Zhu; Ziwei Yang 002; Takashi Matsubara 001 (ECML/PKDD (1), 2022)

Enhancement on Model Interpretability and Sleep Stage Scoring Performance with A Novel Pipeline Based on Deep Neural Network. - Zheng Chen 012; Ziwei Yang 002; Ming Huang 002; Toshiyo Tamura; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (CoRR, 2022)

Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder. - Zheng Chen 012; Ziwei Yang 002; Lingwei Zhu; Guang Shi; Kun Yue; Takashi Matsubara 001; Shigehiko Kanaya; Md. Altaf-Ul-Amin (CoRR, 2022)

MFHCC: Multi-View Feature Hierarchical Contrastive Clustering Model for Multi-Omics Data. - Zongli Jiang; Hongwei Ren; Ziwei Yang 002; Jinli Zhang; Zheng Chen 012 (BIBM, 2023)

MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling. - Ziwei Yang 002; Zheng Chen 012; Yasuko Matsubara; Yasushi Sakurai (CIKM, 2023)

Learning vector quantized representation for cancer subtypes identification. - Zheng Chen 012; Ziwei Yang 002; Lingwei Zhu; Peng Gao; Takashi Matsubara 001; Shigehiko Kanaya; Md. Altaf-Ul-Amin (Comput. Methods Programs Biomed., 2023)

CMOB: Large-Scale Cancer Multi-Omics Benchmark with Open Datasets, Tasks, and Baselines. - Ziwei Yang 002; Rikuto Kotoge; Zheng Chen 012; Xihao Piao; Yasuko Matsubara; Yasushi Sakurai (CoRR, 2024)

Can Large Language Models Replace Data Scientists in Clinical Research? - Zifeng Wang 008; Benjamin P. Danek; Ziwei Yang 002; Zheng Chen 012; Jimeng Sun 001 (CoRR, 2024)

GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation. - Ziwei Yang 002; Zheng Chen 012; Xin Liu 020; Rikuto Kotoge; Peng Chen 035; Yasuko Matsubara; Yasushi Sakurai; Jimeng Sun 001 (ICLR, 2025)

ExPath: Towards Explaining Targeted Pathways for Biological Knowledge Bases. - Rikuto Kotoge; Ziwei Yang 002; Zheng Chen 012; Yushun Dong; Yasuko Matsubara; Jimeng Sun 001; Yasushi Sakurai (CoRR, 2025)