叶 秀彩(ヨウ シュウサイ)
- 所属
- システム情報系
- 職名
- 准教授
- ORCID
- 0000-0002-5547-3919
- eメール
- G2|1".zx"<IOx-<IPz,E-,.$.yxExzE#)
- 研究室
- 情報数理研究室
- 研究分野
数理情報学 - 研究キーワード
特徴選択、クラスタリング、分類、機械学習、 データ解析、バイオインフォマティクス、ネットワークコンピューティング - 研究課題
データコラボレーション解析による分散協調特徴量選択手法の研究 2022-04 -- 2026-03 叶秀彩 日本学術振興会/基盤研究(C) 4,160,000円 - 職歴
2024-01 -- (現在) 筑波大学システム情報系准教授 2018-04 -- 2023-12 筑波大学システム情報系助教 2014-07 -- 2018-03 筑波大学システム情報系研究員 2014-05 -- 2014-06 筑波大学システム情報系博士特別研究員 - 学歴
2010-04 -- 2014-03 筑波大学 システム情報研究科 コンピュータサイエンス専攻 - 取得学位
2014-03 博士(工学) 筑波大学 - 所属学協会
2018-12 -- (現在) AAAI 2017-04 -- (現在) CBEES 2014-01 -- (現在) IEEE - 受賞
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 2019-05 ICMHI国際学会 優秀口頭発表賞 2018-10 IEEE CBDCom国際学会 優秀論文賞 2017-05 CMHI国際学会 優秀論文賞 2017-02 ICMLC国際学会 優秀口頭発表賞 2016-02 ICMLC国際学会 優秀口頭発表賞 - 論文
- Cancer subtype identification by multi-omics clustering based on interpretable feature and latent subspace learning
Shi Tianyi; Ye Xiucai; Huang Dong; Sakurai Tetsuya
METHODS/231/pp.144-153, 2024-11 - Identification of Spatial Domains, Spatially Variable Genes, and Genetic Association Studies of Alzheimer Disease with an Autoencoder-based Fuzzy Clustering Algorithm
Cui Yaxuan; Wei Leyi; Wang Ruheng; Ye Xiucai; Sakurai...
CURRENT BIOINFORMATICS/19(8)/pp.765-776, 2024-04-01 - An interpretable deep learning model predicts RNA-small molecule binding sites
Xi Wenyu; Wang Ruheng; Wang Li; Ye Xiucai; Liu Mingy...
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE/159/pp.557-566, 2024-10 - Integrated convolution and self-attention for improving peptide toxicity prediction
Jiao Shihu; Ye Xiucai; Sakurai Tetsuya; Zou Quan; Liu...
BIOINFORMATICS/40(5)/p.btae297, 2024-05 - GeoPM-DMEIRL: A deep inverse reinforcement learning security trajectory generation framework with serverless computing
Huang Yirui; Zhang Jing; Hou Hongming; Ye Xiucai; Che...
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE/154/pp.123-139, 2024-05 - CodLncScape Provides a Self-Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs
Liu Tianyuan; Qiao Huiyuan; Wang Zixu; Yang Xinyan; P...
Advanced Science/11(22), 2024-04 - A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens
Zhang Zhaoyue; Zhang Zheng; Ye Xiucai; Sakurai Tetsuy...
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES/265(1)/p.130659, 2024-04 - Multi-party collaborative drug discovery via federated learning
Dong Huang; Ye Xiucai; Sakurai Tetsuya
Computers in Biology and Medicine/171/p.108181, 2024-03 - CLOP-hERG: The contrastive learning optimized pre-trained model for representation learning in predicting drug-induced hERG channel blockers
He Shida; Ye Xiucai; Sakurai Tetsuya
Medinformatics, 2024-01 - FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery
He Shida; Ye Xiucai; Dou Lijun; Sakurai Tetsuya
COMPUTERS IN BIOLOGY AND MEDICINE/168/p.107762, 2024-01 - Multi-omics clustering based on interpretable and discriminative features for cancer subtyping
Shi Tianyi; Ye Xiucai; Sakurai Tetsuya
Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM)/pp.630-635, 2023-12 - Unravelling cancer subtype-specific driver genes in single-cell transcriptomics data with CSDGI
Huang Meng; Ma Jiangtao; An Guangqi; Ye Xiucai
PLOS COMPUTATIONAL BIOLOGY/19(12)/p.e1011450, 2023-12 - PPDF-FedTMI: A Federated Learning-based Transport Mode Inference Model with Privacy-Preserving Data Fusion
Huang Qihan; Zhang Jing; Zeng Zuanyang; He Ding; Ye ...
SIMULATION MODELLING PRACTICE AND THEORY/129, 2023-12 - Attribute and closeness based scheduling model for vehicle‑to‑grid network
Zhang Jing; Hu Jianyu; Lin Liwei; Ye Xiucai
Peer-to-Peer Networking and Applications/17/pp.213-226, 2023-11 - Entropy-driven differential privacy protection scheme based on social graphlet attributes
Zhang Jing; Zeng Zuanyang; Si Kunliang; Ye Xiucai
The Journal of Supercomputing/80/pp.7399-7432, 2023-11 - Collaborative analysis for drug discovery by federated learning on non-IID data
Huang Dong; Ye Xiucai; Zhang Ying; Sakurai. Tetsuya
METHODS/219/pp.1-7, 2023-11 - Pick-up point recommendation strategy based on user incentive mechanism
Zhang Jing; Li Biao; Ye Xiucai; Chen Yi
PEERJ COMPUTER SCIENCE/9, 2023-11 - Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites
Jiao Shihu; Ye Xiucai; Ao Chunyan; Sakurai Tetsuya; Z...
Bioinformatics/39(11)/p.btad627, 2023-10 - Multi-omics clustering for cancer subtyping based on latent subspace learning
Ye Xiucai; Shang Yifan; Shi Tianyi; Zhang Weihang; Sa...
COMPUTERS IN BIOLOGY AND MEDICINE/164, 2023-09 - Quantum Algorithm for Regularized Spectral Clustering
Long Changzhou; Futamura Yasunori; Ye Xiucai; Sakurai ...
ICMLC '23: Proceedings of the 2023 15th International Conference on Machine Learning and Computing/pp.5-11, 2023-09 - Multi-view Network Embedding with Structure and Semantic Contrastive Learning
Shang Yifan; Ye Xiucai; Sakurai Tetsuya
Proceedings of the IEEE International Conference on Multimedia and Expo (ICME 2023)/pp.870-875, 2023-07 - Common and Unique Features Learning in Multi-view Network Embedding
Shang Yifan; Ye Xiucai; Sakurai Tetsuya
Proceedings of the International Joint Conference on Neural Networks 2023/pp.1-8, 2023-06 - Hasse sensitivity level: A sensitivity-aware trajectory privacy-enhanced framework with Reinforcement Learning
Zhang Jing; Huang Yi-rui; Huang Qi-han; Li Yan-zi; Ye...
Future Generation Computer Systems/142/pp.301-313, 2023-05 - m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation
Ao Chunyan; Ye Xiucai; Sakurai Tetsuya; Zou Quan; Yu ...
BMC biology/21(1), 2023-04 - MRMD3. 0: A Python tool and webserver for dimensionality reduction and data visualization via an ensemble strategy
He Shida; Ye Xiucai; Sakurai Tetsuya; Zou Quan
JOURNAL OF MOLECULAR BIOLOGY/435(14), 2023-04 - さらに表示...
- Cancer subtype identification by multi-omics clustering based on interpretable feature and latent subspace learning
- 会議発表等
- 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 - さらに表示...
- Multi-omics clustering based on interpretable and discriminative features for cancer subtyping
- 知的財産権
- 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
- 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
- 担当授業科目
2024-10 -- 2025-02 情報理工後期特別演習Af 筑波大学 2024-10 -- 2025-02 情報理工後期特別演習Bf 筑波大学 2024-10 -- 2025-03 ライフイノベーション博士研究Ⅰ 筑波大学 2024-04 -- 2024-08 情報理工前期特別研究Is 筑波大学 2024-10 -- 2025-02 情報理工前期特別研究IIf 筑波大学 2024-10 -- 2025-03 ライフイノベーション修士研究Ⅲ 筑波大学 2024-10 -- 2025-03 ライフイノベーション修士研究Ⅳ 筑波大学 2024-10 -- 2025-03 ライフイノベーション博士研究Ⅴ 筑波大学 2024-10 -- 2025-03 ライフイノベーション博士前期演習I秋 筑波大学 2024-04 -- 2024-08 コンピュータサイエンス特別演習B 筑波大学 さらに表示... - 授業以外の教育活動
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 - 学協会等委員
2024-03 -- 2024-12 Future Generation Computer Systems Special Issue on Explainable Artificial Intelligence in Drug Discovery and Development Guest Editor 2023-06 -- 2024-05 The 8th International Conference on Medical and Health Informatics Technical Program Committee 2023-06 -- 2024-02 The 16th International Conference on Machine Learning and Computing Program Chair 2023-05 -- 2023-05 The 7th International Conference on Medical and Health Informatics Session Chair (Special Session 4 Machine Learning Algorithms for Bio-Medical Data Analysis) 2022-06 -- 2023-05 The 7th International Conference on Medical and Health Informatics Technical Program Committee 2023-02 -- 2023-02 The 15th International Conference on Machine Learning and Computing Session Chair (Online Parallel Session 7: Image Detection and Application) 2022-08 -- 2023-02 The 15th International Conference on Machine Learning and Computing Technical Program Committee 2022-09 -- 2022-11 The Thirty-Seven AAAI Conference on Artificial Intelligence Program Committee 2021-12 -- 2022-07 Journal of Healthcare Engineering Special Issue on Big Data Analytics in Health Care Guest Editor 2022-03 -- 2022-06 Technology in Cancer Research & Treatment Special Issue on Medical Informatics in Precision Medicine Guest Editor さらに表示... - 学内管理運営業績
2023-04 -- (現在) 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 -- (現在) 情報科学類 部局情報環境委員会 委員 2024-04 -- (現在) 情報科学類 計算機運用委員会 委員長 2024-04 -- (現在) 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 -- (現在) 情報科学類 世話人 「情報特別演習」世話人 2023-04 -- (現在) 情報科学類 広報企画委員会 委員 2023-04 -- (現在) 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 -- (現在) 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 さらに表示...
(最終更新日: 2024-09-24)