Ye Xiucai

Affiliation
Faculty of Engineering, Information and Systems
Official title
Assistant Professor
ORCID
0000-0002-5547-3919
Email
/J6I:F42:Tag2ETah4D]EDF<F32]24];A
Office
Mathematical Modeling & Algorithms
Research fields
Mathematical informatics
Research keywords
Feature Selection, Clustering, Classification, Machine Learning, Data Analysis, Bioinformatics, Network Computing
Research projects
Distributed cooperative feature selection based on data collaboration analysis2022-04 -- 2026-03Xiucai YeJapan Society of for the Promotion of Science/基盤研究(C)3,200,000Yen
Career history
2018-04 -- (current)University of TsukubaFaculty of Engineering,Information and SystemsAssistant Professor
2014-07 -- 2018-03University of TsukubaFaculty of Engineering,Information and SystemsPostdoctoral Researcher
2014-04 -- 2014-06University of TsukubaFaculty of Engineering,Information and SystemsPostdoctoral Researcher
Academic background
2010-04 -- 2014-03University of Tsukuba Graduate School of Systems and Information Engnieering Department of Computer Science
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
Articles
Conference, etc.
  • 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
  • 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
  • more...
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
2021-10 -- 2022-02Research in Computer Science IfUniversity of Tsukuba.
2021-10 -- 2022-02Computer Science Seminar BfUniversity of Tsukuba.
2021-04 -- 2021-08Research in Computer Science IIsUniversity of Tsukuba.
2021-10 -- 2022-02Seminar in Computer Science fUniversity of Tsukuba.
2021-04 -- 2021-08Seminar in Computer ScienceUniversity of Tsukuba.
2021-10 -- 2022-02Seminar in Computer ScienceUniversity of Tsukuba.
2021-10 -- 2022-02Research in Computer Science fUniversity of Tsukuba.
2021-10 -- 2022-02Research in Computer Science IUniversity of Tsukuba.
2021-04 -- 2021-08Research in Computer Science IUniversity of Tsukuba.
2021-10 -- 2022-02Computer Science Seminar AfUniversity of Tsukuba.
more...
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
2021-12 -- 2022-07Journal of Healthcare Engineering Special Issue on Big Data Analytics in Health CareGuest Editor
2022-03 -- 2022-06Technology in Cancer Research & Treatment Special Issue on Medical Informatics in Precision Medicine (SI)Guest Editor
2022-01 -- 2022-05Frontiers in Plant Science Special Issue on Machine Learning on Understanding the Epigenetic Mechanisms Underlying Plant Adaptation and DomesticationGuest Editor
2021-11 -- 2022-03Computational and Mathematical Methods in Medicine Special Issue on Artificial Intelligence for Biological Sequence and Functional AnalysisGuest Editor
2021-11 -- 2022-052022 IEEE International Conference on Communications (ICC): Cognitive Radio and AI-Enabled NetworksTechnical Program Committee
2021-09 -- 2021-11The Thirty-Sixth AAAI Conference on Artificial IntelligenceProgram Committee
2021-08 -- 2022-02The 14th International Conference on Machine Learning and ComputingTechnical Program Committee
2021-07 -- 2021-07The International Joint Conference on Neural Networks (IJCNN2021)Session Chair (Session L27: Unsupervised learning and clustering)
2021-06 -- 2022-05The 6th International Conference on Medical and Health InformaticsTechnical Program Committee
2021-05 -- 2021-11The 7th International Symposium on Security and Privacy in Social Networks and Big DataProgram Committee
more...
University Management
2020-04 -- (current)情報科学類 クラス担任
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)情報科学類、情報理工学位プログラム 国際交流委員会委員
2020-04 -- 2022-03情報科学類、情報理工学位プログラム 教学マネジメント委員会委員
2019-04 -- 2021-03情報科学類 広報企画委員会委員
2019-04 -- 2021-03情報理工学位プログラム 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: 2022-06-28)