YE Xiucai

Researcher's full information

Conference, etc.
  • Cost-Efficient Integrated Analysis of Distributed Data in Secure Environments
    Sakurai Tetsuya; Imakura Akira; Ye Xiucai; Bogdanova Ann...
    SIAM Conference on Computational Science and Engineering (CSE23)/2023-02-26--2023-03-03
  • Multiview Network Embedding for Drug-target Interaction Prediction
    Ye Xiucai; Shang Yifan; Futamura Yasunori; Sakurai Tetsuya
    15th International Conference on Machine Learning and Computing (ICMLC)/2023-02-17--2023-02-20
  • ToxinMI: improving peptide toxicity prediction by fusing multimodal information based on mutual information
    Wei Lesong; Ye Xiucai; Sakurai Tetsuya
    The Conference on Research in Adaptive and Convergent Systems/2022-10-03--2022-10-06
  • Knowledge distillation-based privacy-preserving data analysis
    Huang Dong; Ye Xiucai; Sakurai Tetsuya
    The Conference on Research in Adaptive and Convergent Systems/2022-10-03--2022-10-06
  • 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)/2022-7-18--2022-7-23
  • Multi-view Network Embedding for Drug-target Interactions Prediction
    Shang Yifan; Ye Xiucai; Futamura Yasunori; Yu Liang; Saku...
    6th International Conference on Medical and Health Informatics/2022-5-13--2022-5-15
  • Peptide Toxicity Prediction Based on Transfer Learning
    Wei lesong; Ye Xiucai; Sakurai Tetsuya; Mu Zengchao; Wei ...
    6th International Conference on Medical and Health Informatics/2022-5-13--2022-5-15
  • 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/2022-5-13--2022-5-15
  • Sequential Active Gene Selection in Renal Cell Carcinoma
    Huang Meng; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
    6th International Conference on Medical and Health Informatics/2022-5-13--2022-5-15
  • Multi-View Federated Learning with Data Collaboration
    Yang Yitao; Ye Xiucai; Sakurai Tetsuya
    14th International Conference on Machine Learning and Computing (ICMLC)/2022-2-18--2022-2-21
  • Collaborative Novelty Detection for Distributed Data by a Probabilistic Method
    Imakura Akira; Ye Xiucai; Sakurai Tetsuya
    13th Asian Conference on Machine Learning/2021-11-17--2021-11-19
  • Spectral Clustering Joint Deep Embedding Learning by Autoencoder
    Ye Xiucai; Wang Chunhao; Imakura Akira; Sakurai Tetsuya
    International Joint Conference on Neural Networks (IJCNN 2021)/2021-07-18--2021-07-22
  • Ensemble Learning for Spectral Clustering
    Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
    IEEE International Conference on Data Mining (ICDM 2020)/2020-11-17--2020-11-20
  • 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)/2020-07-19--2020-07-24
  • Distributed Feature Selection by Collaborative Data Analysis
    Ye Xiucai; Li Hongmin; Imakura Akira; Sakurai Tetsuya
    12th International Conference on Machine Learning and Computing/2020-06-19--2020-06-21
  • Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis
    Yoda Hiroyuki; Akira Imakura; Momo Matsuda; Ye Xiucai; Sa...
    12th International Conference on Machine Learning and Computing/2020-06-19--2020-06-21
  • A complex moment-based dimensionality reduction for data analysis
    Imakura Akira; Matsuda Momo; Ye Xiucai; Sakurai Tetsuya
    2019 Mini-Workshop on Computational Science (MWCS2019)/2019-08-18
  • A complex moment-based spectral method for detecting anomalous structures in large graphs
    Sakurai Tetsuya; Funamura Yasunori; Ye Xiucai; Imakura A...
    International Congress on Industrial and Applied Mathematics (ICIAM2019)/2019-07-15
  • 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)/2019-08-10--2019-08-16
  • 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）/2019-06-10--2019-06-12
  • 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)/2019-05-17--2019-05-19
  • Spectral Clustering with Adaptive Similarity Measure in Kernel Space
    Ye Xiucai; Sakurai Tetsuya
    International Conference on Soft Computing and Machine Learning (SCML2019)/2019-04-26--2019-04-29
  • Spectral Anomaly Detection in Large Graphs Using a Complex Moment-based Eigenvalue Solver
    Futamura Yasunori; Ye Xiucai; Imakura Akira; Sakurai Tet...
    2019 International Workshop on Cyber-Physical Systems and Cyber-Resilience/2019-03-20--2019-03-20
  • 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/2019-03-04--2019-03-05
  • Unsupervised Feature Selection by Data Structure Learning
    Ye Xiucai; Sakurai Tetsuya
    11th International Conference on Machine Learning and Computing/2019-2-22--2019-2-24
  • more...