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叶 秀彩

Ye, Xiucai

システム情報系 , 准教授
Institute of Systems and Information Engineering , Associate Professor

オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。
  1. 1. Selecting interpretable features for cancer subtyping on multi-omics data Tianyi Shi; Xiucai Ye; Dong Huang; Tetsuya Sakurai
      2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 1155 (2024) Semantic Scholar
  2. 2. Lightweight privacy-preserving authenticated key agreements using physically unclonable functions for internet of drones Lee, Tian-Fu; Ye, Xiucai; Huang, Wei-Jie
      JOURNAL OF INFORMATION SECURITY AND APPLICATIONS 87: (2024) Semantic Scholar
  3. 3. Cancer subtype identification by multi-omics clustering based on interpretable feature and latent subspace learning Shi, Tianyi; Ye, Xiucai; Huang, Dong; Sakurai, Tetsuya
      METHODS 231: 144 (2024) Semantic Scholar
  4. 4. An interpretable deep learning model predicts RNA-small molecule binding sites Xi, Wenyu; Wang, Ruheng; Wang, Li; Ye, Xiucai (+1 著者) Sakurai, Tetsuya
      FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 159: 557 (2024) Semantic Scholar
  5. 5. Identification of Spatial Domains, Spatially Variable Genes, and Genetic Association Studies of Alzheimer Disease with an Autoencoder-based Fuzzy Clustering Algorithm Cui, Yaxuan; Wei, Leyi; Wang, Ruheng; Ye, XiucaiSakurai, Tetsuya
      CURRENT BIOINFORMATICS 19: 765 (2024) Semantic Scholar
  6. 6. DiffSeqMol: A Non-Autoregressive Diffusion-Based Approach for Molecular Sequence Generation and Optimization Wang, Zixu; Chen, Yangyang; Guo, Xiulan; Li, Yayang (+3 著者) Sakurai, Tetsuya
      CURRENT BIOINFORMATICS Epub: (2024) Semantic Scholar
  7. 7. Mapping autophagy-related membrane contact site proteins and complexes with AutoMCS Navigator Liu, Tianyuan; Pan, Xianrun; Ren, Liping; Ye, Xiucai (+1 著者) Zhang, Yang
      AUTOPHAGY Epub: (2024) Semantic Scholar
  8. 8. Stitch-Able Split Learning Assisted Multi-UAV Systems Sun, Tingkai; Wang, Xiaoyan; Ye, Xiucai; Han, Biao
      IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY 5: 418 (2024) Semantic Scholar
  9. 9. IEA-DP: Information Entropy-driven Adaptive Differential Privacy Protection Scheme for social networks Zhang, Jing; Si, Kunliang; Zeng, Zuanyang; Li, TongxinYe, Xiucai
      JOURNAL OF SUPERCOMPUTING 80: 20546 (2024) Semantic Scholar
  10. 10. GeoPM-DMEIRL: A deep inverse reinforcement learning security trajectory generation framework with serverless computing Huang, Yirui; Zhang, Jing; Hou, Hongming; Ye, XiucaiChen, Yi
      FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 154: 123 (2024) Semantic Scholar
  11. 11. Integrated convolution and self-attention for improving peptide toxicity prediction Jiao, Shihu; Ye, Xiucai; Sakurai, Tetsuya; Zou, QuanLiu, Ruijun
      BIOINFORMATICS 40: btae297 (2024) Semantic Scholar
  12. 12. CodLncScape Provides a Self-Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs Liu, Tianyuan; Qiao, Huiyuan; Wang, Zixu; Yang, Xinyan (+5 著者) Zhang, Yang
      Advanced Science 11: (2024)
  13. 13. A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens Zhang, Zhaoyue; Zhang, Zheng; Ye, Xiucai; Sakurai, TetsuyaLin, Hao
      INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES 265: 130659 (2024) Semantic Scholar
  14. 14. Multi-party collaborative drug discovery via federated learning Dong Huang; Ye, Xiucai; Sakurai, Tetsuya
      Computers in Biology and Medicine 171: 108181 (2024)
  15. 15. FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery He, Shida; Ye, Xiucai; Dou, Lijun; Sakurai, Tetsuya
      COMPUTERS IN BIOLOGY AND MEDICINE 168: 107762 (2024) Semantic Scholar
  16. 16. CLOP-hERG: The contrastive learning optimized pre-trained model for representation learning in predicting drug-induced hERG channel blockers He, Shida; Ye, Xiucai; Sakurai, Tetsuya
      Medinformatics (2024)
  17. 17. PPDF-FedTMI: A Federated Learning-based Transport Mode Inference Model with Privacy-Preserving Data Fusion Huang, Qihan; Zhang, Jing; Zeng, Zuanyang; He, Ding (+1 著者) Chen, Yi
      SIMULATION MODELLING PRACTICE AND THEORY 129: (2023) Semantic Scholar
  18. 18. Unravelling cancer subtype-specific driver genes in single-cell transcriptomics data with CSDGI Huang, Meng; Ma, Jiangtao; An, Guangqi; Ye, Xiucai
      PLOS COMPUTATIONAL BIOLOGY 19: e1011450 (2023) Semantic Scholar
  19. 19. Multi-omics clustering based on interpretable and discriminative features for cancer subtyping Shi, Tianyi; Ye, Xiucai; Sakurai, Tetsuya
      Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 630 (2023)
  20. 20. Attribute and closeness based scheduling model for vehicle‑to‑grid network Zhang, Jing; Hu, Jianyu; Lin, Liwei; Ye, Xiucai
      Peer-to-Peer Networking and Applications 17: 213 (2023)
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書籍等出版物情報はまだありません。

  1. 1. Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering Zhang, Weihang; Ye, Xiucai; Sakurai, Tetsuya
    International Joint Conference on Neural Networks (IJCNN 2022) 2022年7月18日
  2. 2. Sequential Active Gene Selection in Renal Cell Carcinoma Huang, Meng; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
    6th International Conference on Medical and Health Informatics 2022年5月13日
  3. 3. Advantages of Learning to Rank in Compound-protein Associations Prediction Ru, Xiaoqing; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan
    6th International Conference on Medical and Health Informatics 2022年5月13日
  4. 4. Multi-view Network Embedding for Drug-target Interactions Prediction Shang, Yifan; Ye, Xiucai; Futamura, Yasunori; Yu, Liang; Sakurai, Tetsuya
    6th International Conference on Medical and Health Informatics 2022年5月13日
  5. 5. Peptide Toxicity Prediction Based on Transfer Learning Wei, lesong; Ye, Xiucai; Sakurai, Tetsuya; Mu, Zengchao; Wei, Leyi
    6th International Conference on Medical and Health Informatics 2022年5月13日
  6. 6. Multi-View Federated Learning with Data Collaboration Yang, Yitao; Ye, Xiucai; Sakurai, Tetsuya
    14th International Conference on Machine Learning and Computing (ICMLC) 2022年2月18日
  7. 7. Collaborative Novelty Detection for Distributed Data by a Probabilistic Method Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya
    13th Asian Conference on Machine Learning 2021年11月17日
  8. 8. Spectral Clustering Joint Deep Embedding Learning by Autoencoder Ye, Xiucai; Wang, Chunhao; Imakura, Akira; Sakurai, Tetsuya
    International Joint Conference on Neural Networks (IJCNN 2021) 2021年7月18日
  9. 9. Ensemble Learning for Spectral Clustering Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
    IEEE International Conference on Data Mining (ICDM 2020) 2020年11月17日
  10. 10. Hubness-Based Sampling Method For Nystrom Spectral Clustering Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
    2020 International Joint Conference on Neural Networks (IJCNN 2020) 2020年7月19日
  11. 11. Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis Yoda, Hiroyuki; Akira, Imakura; Momo, Matsuda; Ye, Xiucai; Sakurai, Tetsuya
    12th International Conference on Machine Learning and Computing 2020年6月19日
  12. 12. Distributed Feature Selection by Collaborative Data Analysis Ye, Xiucai; Li, Hongmin; Imakura, Akira; Sakurai, Tetsuya
    12th International Conference on Machine Learning and Computing 2020年6月19日 招待有り
  13. 13. A complex moment-based dimensionality reduction for data analysis Imakura, Akira; Matsuda, Momo; Ye, Xiucai; Sakurai, Tetsuya
    2019 Mini-Workshop on Computational Science (MWCS2019) 2019年8月18日 招待有り
  14. 14. Distributed Collaborative Feature Selection Based on Intermediate Representation Ye, Xiucai; Li, Hongmin; Akira, Imakura; Sakurai, Tetsuya
    28th International Joint Conference on Artificial Intelligence (IJCAI-19) 2019年8月10日
  15. 15. A complex moment-based spectral method for detecting anomalous structures in large graphs Sakurai, Tetsuya; Funamura, Yasunori; Ye, Xiucai; Imakura, Akira
    International Congress on Industrial and Applied Mathematics (ICIAM2019) 2019年7月15日
  16. 16. 最小二乗確率的分類器を用いた多峰性のあるデータに対する特異点検出 与田裕之; 今倉暁; 松田萌望; 叶, 秀彩; 櫻井鉄也
    第48回数値解析シンポジウム（NAS2019） 2019年6月10日
  17. 17. Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer Ye, Xiucai; Li, Hongmin; Sakurai, Tetsuya; Shueng, Pei-Wei
    International Conference on Medical and Health Informatics (ICMHI2019) 2019年5月17日
  18. 18. Spectral Clustering with Adaptive Similarity Measure in Kernel Space Ye, Xiucai; Sakurai, Tetsuya
    International Conference on Soft Computing and Machine Learning (SCML2019) 2019年4月26日 招待有り
  19. 19. Spectral Anomaly Detection in Large Graphs Using a Complex Moment-based Eigenvalue Solver Futamura, Yasunori; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
    2019 International Workshop on Cyber-Physical Systems and Cyber-Resilience 2019年3月20日
  20. 20. 複素モーメント型部分空間を用いた教師あり次元削減法の提案 今倉, 暁; 松田萌望; 叶, 秀彩; 櫻井鉄也
    日本応用数理学会 第15回 研究部会連合発表会 2019年3月4日
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