keyword Machine learning，Data mining，Bioinformatics
NAIST Doctoral Program at Graduate School of Information Science,
2019/10 - 2022/03
NAIST Master Program at Graduate School of Information Science,
2017/10 - 2019/09
IEEE, ACM
Informatics / Biological, health, and medical informatics /
MLOmics: Cancer Multi-Omics Database for Machine Learning
Ziwei Yang, Rikuto Kotoge, Xihao Piao, Zheng Chen, Lingwei Zhu, Peng Gao, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun
Scientific Data Vol. 12 No. 1 2025/05/30 Research paper (scientific journal)
Publisher: Springer Science and Business Media LLC
Long-Term EEG Partitioning for Seizure Onset Detection
Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) Vol. 39 No. 13 p. 14221-14229 2025/04/11 Research paper (international conference proceedings)
Publisher: Association for the Advancement of Artificial Intelligence (AAAI)
Antimicrobial resistance recommendations via electronic health records with graph representation and patient population modeling
Pei Gao, Zheng Chen, Xin Liu, Peng Chen, Yasuko Matsubara, Yasushi Sakurai
Computer Methods and Programs in Biomedicine Vol. 261 p. 108616-108616 2025/04 Research paper (scientific journal)
Publisher: Elsevier BV
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
The Thirteenth International Conference on Learning Representations (ICLR Oral) 2025/04 Research paper (international conference proceedings)
SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning
Rikuto Kotoge, Zheng Chen, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, Yasushi Sakurai
2024 IEEE International Conference on Data Mining (ICDM) p. 741-746 2024/12/09 Research paper (international conference proceedings)
Publisher: IEEE
Fredformer: Frequency Debiased Transformer for Time Series Forecasting
Xihao Piao, Zheng Chen, Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) p. 2400-2410 2024/08/24 Research paper (international conference proceedings)
Publisher: ACM
Strategic Multi-Omics Data Integration via Multi-Level Feature Contrasting and Matching
Jinli Zhang, Hongwei Ren, Zongli Jiang, Zheng Chen, Ziwei Yang, Y asuko Matsubara, Yasushi Sakurai
IEEE Transactions on NanoBioscience p. 1-1 2024/08 Research paper (scientific journal)
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Improving Building Temperature Forecasting: A Data-driven Approach with System Scenario Clustering
Dafang Zhao, Zheng Chen, Zhengmao Li, Xiaolei Yuan, Ittetsu Taniguchi
2024 IEEE Power & Energy Society General Meeting (PESGM) p. 1-5 2024/07/21 Research paper (international conference proceedings)
Publisher: IEEE
MedNAS: Multi-Scale Training-Free Neural Architecture Search for Medical Image Analysis
Yan Wang, Liangli Zhen, Jianwei Zhang, Miqing Li, Lei Zhang, Zizhou Wang, Yangqin Feng, Yu Xue, Xiao Wang, Zheng Chen, Tao Luo, Rich Siow, Mong Goh, Yong Liu
IEEE Transactions on Evolutionary Computation p. 1-1 2024 Research paper (scientific journal)
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
MFHCC: Multi-View Feature Hierarchical Contrastive Clustering Model for Multi-Omics Data
Zongli Jiang, Hongwei Ren, Ziwei Yang, Jinli Zhang, Zheng Chen
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2023/12/05 Research paper (international conference proceedings)
Publisher: IEEE
Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency
Yunpeng Yao, Man Wu, Zheng Chen, Renyuan Zhang
Proceedings of the 15th Asian Conference on Machine Learning (ACML) Vol. PMLR 222 p. 1558-1573 2023/11
General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence
Lingwei Zhu, Zheng Chen, Matthew Kyle Schlegel, Martha White
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023/11
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 (CIKM) p. 2895-2905 2023/10
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation
Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai
Advanced Data Mining and Applications p. 103-117 2023/09 Part of collection (book)
Publisher: Springer Nature Switzerland
Learning vector quantized representation for cancer subtypes identification
Zheng Chen, Ziwei Yang, Lingwei Zhu, Peng Gao, Takashi Matsubara, Shigehiko Kanaya, Md Altaf-Ul-Amin
Computer Methods and Programs in Biomedicine Vol. 236 p. 107543-107543 2023/06 Research paper (scientific journal)
Publisher: Elsevier BV
Automated Sleep Staging via Parallel Frequency-Cut Attention
Zheng Chen, Ziwei Yang, Lingwei Zhu, Wei Chen, Toshiyo Tamura, Naoaki Ono, MD Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang
IEEE Transactions on Neural Systems and Rehabilitation Engineering Vol. 31 p. 1974-1985 2023/02/09 Research paper (scientific journal)
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
A training pipeline of an arrhythmia classifier for atrial fibrillation detection using Photoplethysmography signal
Sota Kudo, Zheng Chen, Xue Zhou, Leighton T. Izu, Ye Chen-Izu, Xin Zhu, Toshiyo Tamura, Shigehiko Kanaya, Ming Huang
Frontiers in Physiology Vol. 14 2023/01/19 Research paper (scientific journal)
Publisher: Frontiers Media SA
A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning
Zheng Chen, Lingwei Zhu, Haohui Jia, Takashi Matsubara
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) p. 334-342 2023/01 Part of collection (book)
Publisher: Society for Industrial and Applied Mathematics
Sleep Staging Framework with Physiologically Harmonized Sub-Networks
Zheng Chen, Ziwei Yang, Dong Wang, Xin Zhu, Naoaki Ono, M.D. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang
Methods Vol. 209 p. 18-28 2023/01 Research paper (scientific journal)
Publisher: Elsevier BV
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
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2022/12/06 Research paper (international conference proceedings)
Publisher: IEEE
An Efficient Transformer Encoder-Based Classification of Malware Using API Calls
Chen Li, Zheng Chen, Junjun Zheng
2022 IEEE 24th Int Conf on High Performance Computing and Communications (HPCC) 2022/12 Research paper (international conference proceedings)
Publisher: IEEE
Learning Local Representation by Gradient-Isolated Memorizing of Spiking Neural Network
Man Wu, Zheng Chen, Yunpeng Yao
2022 IEEE 24th Int Conf on High Performance Computing and Communications (HPCC) p. 733-740 2022/12 Research paper (international conference proceedings)
Publisher: IEEE
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization.
Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Vol. abs/2206.10801 2022/09 Research paper (scientific journal)
Multi-Tier Platform for Cognizing Massive Electroencephalogram.
Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang
31st International Joint Conference on Artificial Intelligence (IJCAI) p. 2464-2470 2022/08 Research paper (international conference proceedings)
Efficient Support Vector Machine Toward Medical Data Processing
Guang Shi, Zheng Chen, Renyuan Zhang
Proceedings of Seventh International Congress on Information and Communication Technology p. 751-760 2022/05 Part of collection (book)
Publisher: Springer Nature Singapore
A Stochastic Coding Method of EEG Signals for Sleep Stage Classification.
Guangxian Zhu, Huijia Wang, Yirong Kan, Zheng Chen, Ming Huang, Md. Altaf-Ul-Amin, Naoaki Ono, Shigehiko Kanaya, Renyuan Zhang, Yasuhiko Nakashima
36th IEEE International System-on-Chip Conference (SOCC) p. 1-6 2022 Research paper (international conference proceedings)
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
44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) p. 4453-4456 2022 Research paper (international conference proceedings)
Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data.
Ziwei Yang 0002, Lingwei Zhu, Zheng Chen 0012, Ming Huang 0002, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) p. 1113-1116 2022 Research paper (international conference proceedings)
Discussion of Cuffless Blood Pressure Prediction Using Plethysmograph Based on a Longitudinal Experiment: Is the Individual Model Necessary?
Koshiro Kido, Zheng Chen, Ming Huang, Toshiyo Tamura, Wei Chen, Naoaki Ono, Masachika Takeuchi, Md. Altaf-Ul-Amin, Shigehiko Kanaya
Life Vol. 12 No. 1 p. 11-11 2021/12/22 Research paper (scientific journal)
Publisher: MDPI AG
Feasibility Analysis of Symbolic Representation for Single-Channel EEG-Based Sleep Stages.
Zheng Chen, Pei Gao, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) p. 5928-5931 2021 Research paper (international conference proceedings)
Publisher: IEEE
Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer.
Ziwei Yang, Dong Wang, Zheng Chen, Ming Huang 0002, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
IEEE International Conference on Bioinformatics and Biomedicine(BIBM) p. 2920-2923 2021 Research paper (international conference proceedings)
Publisher: IEEE
An Integrated Multi-Omics Approach for AMR Phenotype Prediction of Gut Microbiota.
Pei Gao, Zheng Chen, Dong Wang, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
IEEE International Conference on Bioinformatics and Biomedicine(BIBM) p. 2211-2216 2021 Research paper (international conference proceedings)
Publisher: IEEE
An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks.
Zheng Chen 0012, Ziwei Yang 0002, Dong Wang, Ming Huang 0002, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
IEEE International Conference on Bioinformatics and Biomedicine(BIBM) p. 848-853 2021 Research paper (international conference proceedings)
Publisher: IEEE
A Real-Time Portable IoT System for Telework Tracking.
Yongxin Zhang, Zheng Chen, Haoyu Tian, Koshiro Kido, Naoaki Ono, Wei Chen, Toshiyo Tamura, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang
Frontiers in Digital Health Vol. 3 p. 643042-643042 2021 Research paper (scientific journal)
The feasibility of predicting impending malignant ventricular arrhythmias by using nonlinear features of short heartbeat intervals.
Zheng Chen, Naoaki Ono, Wei Chen, Toshiyo Tamura, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang
Computer Methods and Programs in Biomedicine Vol. 205 p. 106102-106102 2021 Research paper (scientific journal)
iVAE: An Improved Deep Learning Structure for EEG Signal Characterization and Reconstruction.
Zheng Chen, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang
IEEE International Conference on Bioinformatics and Biomedicine(BIBM) p. 1909-1913 2020 Research paper (international conference proceedings)
Publisher: IEEE
