Ye Xiucai

Researcher's full information

Conference, etc.
  • 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
  • Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction
    Imakura Akira; Matsuda Momo; Ye Xiucai; Sakurai Tetsuya
    33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence/2019-01-28--2019-02-01
  • Large Scale Spectral Clustering Using Sparse Representation Based on Hubness
    Ye Xiucai; Li Hongmin; Sakurai Tetsuya; Liu Zhi
    IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)/2018-10-08--2018-10-12
  • 複素モーメント型教師あり次元削減法
    今倉 暁; 松田萌望; 叶 秀彩; 櫻井鉄也
    日本応用数理学会 2018年度 年会/2018-09-03--2018-09-05
  • Ensemble Learning for Risk Factors Identification and Secondary Cancer Diagnosis by Considering Class Imbalance
    Ye Xiucai; Sakurai Tetsuya; Chang Chi-Chang
    International Conference on Medical and Health Informatics/2018-06-08--2018-06-10
  • Spectral clustering and discriminant analysis for unsupervised feature selection
    Ye Xiucai; Sakurai Tetsuya
    International Workshop on Eigenvalue Problems: Algorithms; Software and Applications, in Petascale Computing/2018-03-05--2018-03-06
  • Spectral Clustering for Big Data Analysis
    Ye Xiucai; Sakurai Tetsuya
    Seminar of the 34th Advanced Supercomputing Environment/2017-12-13--2017-12-13
  • Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning
    Ye Xiucai; Sakurai Tetsuya
    Seminar of Fostering Health Big Data, Analytics & Artificial Intelligence (HBAAI)/2017-12-28--2017-12-28
  • Unsupervised Feature Learning for Gene Selection in Microarray Data Analysis
    Ye Xiucai; Sakurai Tetsuya
    International Conference on Medical and Health Informatics (ICMHI 2017)/2017-05-20--2017-05-22
  • Similarity Measure Based on Adaptive Neighbors for Spectral Clustering
    Ye Xiucai; Sakurai Tetsuya
    International Conference on Machine Learning and Computing/2017-02-24--2017-02-26
  • Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation
    Ye Xiucai; Ji Kaiyang; Sakurai Tetsuya
    RIMS 研究集会現象解明に向けた数値解析学の新展開 II/2016-10-19--2016-10-21
  • Spectral Clustering and Discriminant Analysis for Unsupervised Feature Selection
    Ye Xiucai; Ji Kaiyang; Sakurai Tetsuya
    TIAかけはしポスター交流会/2016-08-30--2016-08-30
  • Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation
    Ye Xiucai; Ji Kaiyang; Sakurai Tetsuya
    29th Florida Artificial Intelligence Research Society Conference/2016-05-16--2016-05-18
  • Unsupervised Feature Selection with Correlation and Individuality Analysis
    Ye Xiucai; Ji Kaiyang; Sakurai Tetsuya
    International Conference on Machine Learning and Computing/2016-02-22--2016-02-23
  • Spectral Clustering Using Robust Similarity Measure Based on Closeness of Shared Nearest Neighbors
    Ye Xiucai; Sakurai Tetsuya
    International Joint Conference on Neural Networks/2015-07-12--2015-07-17
  • LT Codes Based Distributed Coding for Efficient Distributed Storage in Wireless Sensor Networks
    Ye Xiucai; Li Jie; Chen Wen-Tsuen; Tang Feilong
    IFIP Networking Conference/2015-05-20--2015-05-22
  • Group Data Collection in Wireless Sensor Networks with a Mobile Base Station
    Ye Xiucai; Li Jie; Xu Li
    IEEE Wireless Communication and Networking Conference (IEEE WCNC 2013)/2013-04-07--2013-04-10
  • Multi-objective Optimization Based Virtual Resource Allocation Strategy for Cloud Computing
    Xu Li; Zeng Zhibin; Ye Xiucai
    IEEE/ACIS International Conference on Computer and Information Science/2012-05-30--2012-06-01
  • more...