You are here

Ye Xiucai

face
Affiliation
Faculty of Engineering, Information and Systems
Official title
Assistant Professor
ORCID
0000-0002-5547-3919
Email
 
Office
Mathematical Modeling & Algorithms
Research fields
Mathematical informatics
Research keywords
Feature Selection, Clustering, Classification, Machine Learning, Data Analysis, Bioinformatics, Network Computing
Career history
2018-04 -- (current)University of Tsukuba Faculty of Engineering,Information and Systems Assistant Professor
2014-07 -- 2018-03University of Tsukuba Faculty of Engineering,Information and Systems Postdoctoral Researcher
2014-04 -- 2014-06University of Tsukuba Faculty of Engineering,Information and Systems Postdoctoral Researcher
Academic background
2010-04 -- 2014-03University of Tsukuba Graduate School of Systems and Information Engnieering Department of Computer ScienceCompleted
Degree
2014-03ph.D. (Engineering)University of Tsukuba
Academic societies
2018-12 -- (current)AAAI
2017-04 -- (current)CBEES
2014-01 -- (current)IEEE
Honors & Awards
2019-05Excellent Oral Presentation AwardAward from International Conference on Medical and Health Informatics (ICMHI)
2018-10Best Paper AwardAward from IEEE International Conference on Cloud and Big Data Computing (CBDCom)
2017-05Best Paper AwardAward from International Conference on Medical and Health Informatics (ICMHI)
2017-02Excellent Oral Presentation AwardAward from International Conference on Machine Learning and Computing (ICMLC)
2016-02Excellent Oral Presentation AwardAward from International Conference on Machine Learning and Computing (ICMLC)
2014-03Student Excellent Research Award from Chairperson of the department
Refereed academic journal/Refereed international conference paper
Other articles
  • Distributed Collaborative Feature Selection Based on Intermediate Representation
    叶 秀彩
    Cost-Optimized Video Dissemination Over Heterogeneous Cloud With SLAs Support, 2020
  • Multiclass spectral feature scaling method for dimensionality reduction
    Matsuda M.; Morikuni K.; Imakura A.; Ye X.; Sakurai T.
    arXiv:1910.07174 [cs.LG]/pp.1-16, 2019-10
Conference, etc.
  • 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 Akira
    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 Tetsuya
    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
    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
Intellectural property rights
  • 特徴量選択支援装置、特徴量選択支援プログラム及び特徴量選択支援方法
    今倉 暁; 叶 秀彩; 櫻井 鉄也
Teaching
2020-10 -- 2021-02Research in Computer Science IIUniversity of Tsukuba.
2020-04 -- 2020-08Research in Computer Science IIUniversity of Tsukuba.
2020-10 -- 2021-02Research in Computer ScienceUniversity of Tsukuba.
2020-04 -- 2020-08Research in Computer ScienceUniversity of Tsukuba.
2020-04 -- 2020-05Invitation to Arts and ScienceUniversity of Tsukuba.
2020-10 -- 2020-12Data ScienceUniversity of Tsukuba.
2020-04 -- 2020-08Software and Computing Science Laboratory AUniversity of Tsukuba.
2020-10 -- 2021-02Research in Computer Science IUniversity of Tsukuba.
2020-04 -- 2020-08Research in Computer Science IUniversity of Tsukuba.
2020-04 -- 2020-08Research in Computer Science IIUniversity of Tsukuba.
Other educational activities
2019-07 -- 2019-07中高生理工系進学応援シンポジウム及びリケジョサイエンス合宿ダイバーシティ・アクセシビリティ・キャリアセンター
Professional activities
2020-09 -- 2020-11The Thirty-Fifth AAAI Conference on Artificial IntelligenceProgram Committee
2020-08 -- 2021-05The 5th International Conference on Medical and Health InformaticsTechnical Program Committee
2020-08 -- 2021-02The 13th International Conference on Machine Learning and ComputingTechnical Program Committee
2019-10 -- 2020-08The 6th IEEE International Conference on Cloud and Big Data ComputingPublicity Chair
2020-08 -- 2020-12The 26th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2020)Program Committee
2019-08 -- 2020-08The 3rd International Conference on Healthcare Service ManagementPoster Chair
2019-11 -- 2020-05The Mobile and Wireless Networks Symposium of IEEE ICC 2020Technical Program Committee
2019-08 -- 2020-05The 4th International Conference on Medical and Health InformaticsTechnical Program Committee
2019-08 -- 2020-06The 12th International Conference on Machine Learning and ComputingTechnical Program Committee
2019-01 -- 2019-07The 2019 International Joint Conference on Neural NetworksTechnical Program Committee
University Management
2020-04 -- (current)情報科学類 クラス担任
2020-04 -- (current)大学院コンピュータサイエンス専攻 FD委員会委員
2020-04 -- (current)情報科学類 学生委員会委員
2020-04 -- (current)情報科学類 学務委員会委員
2019-04 -- (current)大学院コンピュータサイエンス専攻 国際交流委員会委員
2019-04 -- (current)情報科学類 広報企画委員会委員
2019-04 -- (current)大学院コンピュータサイエンス専攻 CSセミナー担当委員
2018-04 -- 2020-03情報科学類 留学生対策委員会委員

(Last updated: 2021-02-01)