YE Xiucai

Affiliation
Institute of Systems and Information Engineering
Official title
Associate Professor
ORCID
0000-0002-5547-3919
Email
G2|1".zx"<IOx-<IPz,E-,.$.yxExzE#)
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 for the Promotion of Science/Grant-in-Aid for Scientific Research(C)4,160,000Yen
Career history
2024-01 -- (current)University of TsukubaFaculty of Engineering,Information and SystemsAssociate Professor
2018-04 -- 2023-12University of TsukubaFaculty of Engineering,Information and SystemsAssistant Professor
2014-07 -- 2018-03University of TsukubaFaculty of Engineering,Information and SystemsPostdoctoral Researcher
2014-05 -- 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
2024-09令和5年度 筑波大学若手教員奨励賞
2023-04令和4年度システム情報系教育貢献賞
2019-05International Conference ICMHI Excellent Oral Presentation Award
2018-10IEEE International Conference CBDCom Best Paper Award
2017-05International Conference ICMHI Best Paper Award
2017-02International Conference ICMLC Excellent Oral Presentation Award
2016-02International Conference ICMLC Excellent Oral Presentation Award
Articles
Conference, etc.
  • Multi-omics clustering based on interpretable and discriminative features for cancer subtyping
    Shi Tianyi; Ye Xiucai; Sakurai Tetsuya
    IEEE International Conference on Bioinformatics and Biomedicine (BIBM)/2023-12-05--2023-12-08
  • Multi-view Network Embedding with Structure and Semantic Contrastive Learning
    Shang Yifan; Ye Xiucai; Sakurai Tetsuya
    IEEE International Conference on Multimedia and Expo (ICME2023)/2023-07-10--2023-07-14
  • Common and Unique Features Learning in Multi-view Network Embedding
    Yifan Shang; Xiucai Ye; Tetsuya Sakurai
    International Joint Conference on Neural Networks (IJCNN2023)/2023-06-18--2023-06-23
  • scGNGI: Imputing Missing Gene Expression Value with Cell Heterogeneity Based on Low Rank Matrix Recovery
    Huang Meng; Ye Xiucai; Sakurai Tetsuya
    The 7th International Conference on Medical and Health Informatics (ICMHI 2023)/2023-05-12--2023-05-14
  • Discovering Cancers Subtypes Based on Multi-omics Clustering
    Tianyi Shi; Xiucai Ye; Tetsuya Sakurai
    The 7th International Conference on Medical and Health Informatics (ICMHI 2023)/2023-05-12--2023-05-14
  • Enhancing Compound Screening Effectiveness in Drug Research by Refining Screening Approaches
    Ru Xiaoqing; Ye Xiucai; Sakurai Tetsuya
    The 7th International Conference on Medical and Health Informatics (ICMHI 2023)/2023-05-12--2023-05-14
  • Improving Prediction of SARS CoV2 Phosphorylation Sites Using Adaptive Learning Embedding Features
    Jiao Shihu; Ye Xiucai; Sakurai Tetsuya
    The 7th International Conference on Medical and Health Informatics (ICMHI 2023)/2023-05-12--2023-05-14
  • DeepDMPred:Multi view Feature Fusion Method to Predict Drug Molecules
    He Shida; Ye Xiucai; Sakurai Tetsuya
    The 7th International Conference on Medical and Health Informatics (ICMHI 2023)/2023-05-12--2023-05-14
  • Collaborative Future Selection for Distributed Data
    Ye Xiucai; Imakura Akira; Sakurai Tetsuya
    SIAM Conference on Computational Science and Engineering (CSE23)/2023-02-26--2023-03-03
  • 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
  • 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
2024-10 -- 2025-02Computer Science Seminar AfUniversity of Tsukuba.
2024-10 -- 2025-02Computer Science Seminar BfUniversity of Tsukuba.
2024-10 -- 2025-03Doctoral Research in Life Science Innovation ⅠUniversity of Tsukuba.
2024-04 -- 2024-08Research in Computer Science IsUniversity of Tsukuba.
2024-10 -- 2025-02Research in Computer Science IIfUniversity of Tsukuba.
2024-10 -- 2025-03Master's Research in Life Science Innovation ⅢUniversity of Tsukuba.
2024-10 -- 2025-03Master's Research in Life Science Innovation ⅣUniversity of Tsukuba.
2024-10 -- 2025-03Doctoral Research in Life Science Innovation ⅤUniversity of Tsukuba.
2024-10 -- 2025-03Life Science Innovation Master's Special Seminar I FallUniversity of Tsukuba.
2024-04 -- 2024-08Computer Science Seminar BUniversity 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
2024-03 -- 2024-12Future Generation Computer Systems Special Issue on Explainable Artificial Intelligence in Drug Discovery and DevelopmentGuest Editor
2023-06 -- 2024-05The 8th International Conference on Medical and Health InformaticsTechnical Program Committee
2023-06 -- 2024-02The 16th International Conference on Machine Learning and ComputingProgram Chair
2023-05 -- 2023-05The 7th International Conference on Medical and Health InformaticsSession Chair (​Special Session 4 ​Machine Learning Algorithms for Bio-Medical Data Analysis)
2022-06 -- 2023-05The 7th International Conference on Medical and Health InformaticsTechnical Program Committee
2023-02 -- 2023-02The 15th International Conference on Machine Learning and ComputingSession Chair (​Online Parallel Session 7: Image Detection and Application)
2022-08 -- 2023-02The 15th International Conference on Machine Learning and ComputingTechnical Program Committee
2022-09 -- 2022-11The Thirty-Seven AAAI Conference on Artificial IntelligenceProgram Committee
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
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University Management
2023-04 -- (current)情報理工学位プログラム　施設安全衛⽣管理・省エネルギー委員会委員
2024-04 -- (current)情報科学類　部局情報環境委員会委員
2024-04 -- (current)情報科学類　計算機運用委員会委員長
2024-04 -- (current)情報科学類　世話人専門導入科目「情報科学概論」世話人
2023-04 -- (current)情報科学類　世話人「情報特別演習」世話人
2023-04 -- (current)情報科学類 広報企画委員会委員
2023-04 -- (current)情報理工学位プログラム 英語プログラム推進室推進室員
2024-04 -- (current)情報科学類、情報理工学位プログラム　国際交流委員会アドバイザー
2023-04 -- 2024-03情報科学類　進路指導委員会進路指導担当委員
2020-04 -- 2024-03情報科学類 クラス担任
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(Last updated: 2024-09-24)