ホーム > 叶 秀彩/ Ye, Xiucai

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. RFD-ML: robust federated defense via meta-learning Hou, Hongming; Zhang, Jing; Zhang, Meirun; Huang, ZhenhanYe, Xiucai
      Applied Soft Computing 197: (2026)
  2. 2. SSDP-DCA: Enhancing Data Collaboration Analysis with Privacy Amplification Techniques in Cloud Environments Sun, Tingkai; Ye, Xiucai; Imakura, Akira; Omote, KazumasaSakurai, Tetsuya
      IEEE Transactions on Cloud Computing (2026)
  3. 3. LLM-enhanced knowledge distillation for sequence-based protein-ligand interaction prediction YE, Xiucai
      IEEE Journal of Biomedical and Health Informatics (2026)
  4. 4. A dual-language-model framework for reproducibility in small molecule-RNA binding site prediction Guan, Shixuan; Ye, Xiucai; Sakurai, Tetsuya
      IEEE Journal of Biomedical and Health Informatics (2026)
  5. 5. High-performance computing enhanced task recommendation strategy based on mobile prediction in mobile crowdsensing Zhang, Jing; Zhong, Xiangxuan; Huang, Zhenhan; Xu, LiYe, Xiucai
      ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 167: (2026) Semantic Scholar
  6. 6. CADiS: causality-driven transformer for anomaly detection and root cause diagnosis in industrial internet of things Zeng, Zuanyang; Wang, Xiaoding; Xu, Li; Ye, Xiucai (+3 著者) Dev, Kapal
      IEEE Internet of Things Journal (2026)
  7. 7. Robust graph structure learning to improve multi-omics cancer subtype classification Guo, Mengke; Ye, Xiucai; Sakurai, Tetsuya
      BMC Bioinformatics 27: (2026)
  8. 8. A hybrid quantum-enhanced sandwich convolutional neural network for medical image classification Long, Changzhou; Li, Shuaiyu; Huang, Meng; Ye, XiucaiSakurai, Tetsuya
      Current Bioinformatics (2026)
  9. 9. Revealing intra-group immunotherapy response heterogeneity in metastatic urothelial carcinoma through interpretable feature extraction and spectral clustering Nagumo, Yoshiyuki; Ye, Xiucai; Shi, Tianyi; Mathis, Bryan J. (+1 著者) Nishiyama, Hiroyuki
      FRONTIERS IN IMMUNOLOGY 16: (2026) Semantic Scholar
  10. 10. GSToxi: Gated Cross-Modal Modeling With Graph-Sequence Encoders for Peptide Toxicity Prediction Li Wang; Xiangzheng Fu; Tianyi Shi; Xiucai Ye (+1 著者) Yiping Liu
      2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 63 (2025) Semantic Scholar
  11. 11. LSTM-TRPS: Trajectory reconstruction protection strategy based on semantic information encoding Zhang, Jing; Li, Tongxin; Hu, Haoze; Liao, HuaxiongYe, Xiu-Cai
      COMPUTER NETWORKS 273: (2025) Semantic Scholar
  12. 12. Noise-robustness analysis of hybrid quantum-classical CNNs for small-sample road image classification Long, Changzhou; Ye, Xiucai; Sakurai, Tetsuya
      Proceedings of the International Conference on Robotics and Artificial Intelligence (ICRAI) 143 (2025)
  13. 13. BlackHole-DTP: a distributed trajectory privacy protection strategy with deep trajectory training and data blackhole Hou, Hongming; Zhang, Jing; Huang, Zhenhan; Zhang, MeirunYe, Xiucai
      COMPUTER JOURNAL 69: 520 (2025) Semantic Scholar
  14. 14. MOFormer: navigating the antimicrobial peptide design space with Pareto-based multi-objective transformer Wang, Li; Fu, Xiangzheng; Yang, Jiahao; Zhang, Xinyi (+3 著者) Liu, Yiping
      BRIEFINGS IN BIOINFORMATICS 26: (2025) Semantic Scholar
  15. 15. BiFDR: Brain-Inspired Federated Diffusion Transformer with Reinforcement for privacy-preserving molecular generation Hou, Hongming; Zhang, Jing; Zhang, Meirun; Ye, Xiucai
      JOURNAL OF BIOMEDICAL INFORMATICS 170: (2025) Semantic Scholar
  16. 16. EAFL-ALP: Energy-Efficient Asynchronous Federated Learning With Adaptive Layered Personalization for Vehicular Networks Zhang, Jing; Hou, Hongming; Zhang, Meirun; Xu, LiYe, Xiucai
      IEEE INTERNET OF THINGS JOURNAL 12: 39284 (2025) Semantic Scholar
  17. 17. Hybrid quantum-classical-quantum convolutional neural networks Long, Changzhou; Huang, Meng; Ye, Xiucai; Futamura, YasunoriSakurai, Tetsuya
      SCIENTIFIC REPORTS 15: (2025) Semantic Scholar
  18. 18. CEGI: Causally Explainable Gene Identification Method for Unveiling Developmental Signatures in Human Prefrontal Cortex Huang, Meng; Ye, Xiucai; Sakurai, Tetsuya
      CURRENT BIOINFORMATICS (2025) Semantic Scholar
  19. 19. Integration of pre-trained protein language models with equivariant graph neural networks for peptide toxicity prediction Jiao, Shihu; YE, Xiucai; Sakurai, Tetsuya; Zou, Quan (+1 著者) Zhan, Chao
      BMC Biology 23: (2025)
  20. 20. Deciphering cancer therapy resistance via patient-level single-cell transcriptomics with CellResDB Liu, Tianyuan; Qiao, Huiyuan; Ren, Liping; YE, Xiucai (+1 著者) Zhang, Yang
      Communications biology 8: (2025)
1 2 3 … 8

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
1 2 3 … 5

 540 total views