Ye Xiucai
- Affiliation
- Faculty of Engineering, Information and Systems
- Official title
- Assistant Professor
- ORCID
- 0000-0002-5547-3919
- C6"5&2 |&@MS|1@MT 0I102(2}|I| I'-
- 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 analysis 2022-04 -- 2026-03 Xiucai Ye Japan Society of for the Promotion of Science/基盤研究(C) 4,160,000Yen - Career history
2018-04 -- (current) University of TsukubaFaculty of Engineering,Information and SystemsAssistant Professor 2014-07 -- 2018-03 University of TsukubaFaculty of Engineering,Information and SystemsPostdoctoral Researcher 2014-04 -- 2014-06 University of TsukubaFaculty of Engineering,Information and SystemsPostdoctoral Researcher - Academic background
2010-04 -- 2014-03 University of Tsukuba Graduate School of Systems and Information Engnieering Department of Computer Science - Degree
2014-03 ph.D. (Engineering) University of Tsukuba - Academic societies
2018-12 -- (current) AAAI 2017-04 -- (current) CBEES 2014-01 -- (current) IEEE - Honors & Awards
2019-05 Excellent Oral Presentation Award Award from International Conference on Medical and Health Informatics (ICMHI) 2018-10 Best Paper Award Award from IEEE International Conference on Cloud and Big Data Computing (CBDCom) 2017-05 Best Paper Award Award from International Conference on Medical and Health Informatics (ICMHI) 2017-02 Excellent Oral Presentation Award Award from International Conference on Machine Learning and Computing (ICMLC) 2016-02 Excellent Oral Presentation Award Award from International Conference on Machine Learning and Computing (ICMLC) 2014-03 Student Excellent Research Award from Chairperson of the department - Articles
- Extracellular vesicles derived from Wharton's Jelly mesenchymal stem cells inhibit the tumor environment via the miR-125b/HIF1α signaling pathway
Chang Yun-Hsuan; Vuong Cat-Khanh; Ngo Nhat-Hoang; Yamashi...
SCIENTIFIC REPORTS/12(1), 2022-08-08 - Missing value imputation with low-rank matrix completion in single-cell RNA-seq data by considering cell heterogeneity
Huang Meng; Ye Xiucai; Li Hongmin; Sakurai Tetsuya
FRONTIERS IN GENETICS/13, 2022-07 - Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering
Zhang Weihang; Ye Xiucai; Sakurai Tetsuya
Proceeding of the International Joint Conference on Neural Networks (IJCNN 2022)/(accepted), 2022-07 - Divide-and-conquer based Large-Scale Spectral Clustering
Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
NEUROCOMPUTING/501/pp.664-678, 2022-08 - Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving
Shang Yifang; Ye Xiucai; Futamura Yasunori; Yu Liang; Sak...
Briefings in Bioinformatics/23(3), 2022-05 - Analysis of Drug Repositioning and Prediction Techniques: A Concise Review
He Shida; Liu Xin; Ye Xiucai; Sakurai Tetsuya
Current Topics in Medicinal Chemistry, 2022-04 - Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma
Huang Meng; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
Journal of Biomedical Informatics/128, 2022-04 - NerLTR-DTA: drug–target binding affinity prediction based on neighbor relationship and learning to rank
Xiaoqing Ru; Ye Xiucai; Tetsuya Sakurai; Quan Zou
Bioinformatics/38(7)/pp.1964-1971, 2022-04 - ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning
Wei Lesong; Ye Xiucai; Sakurai Tetsuya; Wu Zengchao; Wei ...
Bioinformatics/38(6)/pp.1514-1524, 2022-03 - Multi-View Federated Learning with Data Collaboration
Yang Yitao; Ye Xiucai; Sakurai Tetsuya
Proceeding of 14th International Conference on Machine Learning and Computing (ICMLC)/pp.178-183, 2022-02 - Anonymous Dynamic Group Authenticated Key Agreements Using Physical Unclonable Functions for Internet of Medical Things
Lee Tian-Fu; Ye Xiucai; Lin Syuan-Han
IEEE INTERNET OF THINGS JOURNAL/9(16)/pp.15336-15348, 2022-02 - Better Performance with Transformer: CPPFormer in precise prediction of cell-Penetrating Peptides
Xue Yuyang; Ye Xiucai; Wei Lesong; Zhang Xin; Sakurai Te...
Current Medicinal Chemistry/29(5)/pp.881-893, 2022-01 - LSEC: Large-scale spectral ensemble clustering
Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
Intelligent Data Analysis/(accepted), 2021 - Distortion-free PCA on Sample Space for Highly Variable Gene Detection from Single-cell RNA-seq Data
Matsuda Momo; Futamura Yasunori; Ye Xiucai; Sakurai Tetsuya
Frontiers of Computer Science/(accepted), 2021 - Collaborative Novelty Detection for Distributed Data by a Probabilistic Method
Imakura Akira; Ye Xiucai; Sakurai Tetsuya
Proceeding of Asian Conference on Machine Learning (ACML)/pp.932-947, 2021-11 - Current status and future prospects of drug–target interaction prediction
Ru Xiaoqing; Ye Xiucai; Sakurai Tetsuya; Zou Quan; Xu Le...
Briefings in Functional Genomics/20(5)/pp.312-322, 2021-09 - Spectral Clustering Joint Deep Embedding Learning by Autoencoder
Ye Xiucai; Wang Chunhao; Imakura Akira; Sakurai Tetsuya
Proceeding of the International Joint Conference on Neural Networks (IJCNN 2021)/pp.1-7, 2021-07 - Scaling Method for Batch Effect Correction of Gene Expression Data Based on Spectral Clustering
Matsuda Momo; Ye Xiucai; Sakurai Tetsuya
Current Bioinformatics/16(4)/pp.505-511, 2021-08 - ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism
Wei Lesong; Ye Xiucai; Xue Yuyang; Sakurai Tetsuya; Wei ...
Briefings in Bioinformatics/22(5), 2021-09 - Bioluminescent Proteins Prediction with Voting Strategy
Zhao Shulin; Ju Ying; Ye Xiucai; Zhang Jun; Han Shuguang
Current Bioinformatics/16(2)/pp.240-251, 2021-4 - iDNA-MT: Identification DNA modification sites in multiple species by using multi-task learning based a neural network tool
Yang Xiao; Ye Xiucai; Xuehong Li; Wei Lesong
Frontiers in Genetics/12, 2021-03 - Application of learning to rank in bioinformatics tasks
Ru Xiaoqing; Ye Xiucai; Sakurai Tetsuya; Zou Quan
Briefings in Bioinformatics/22(5), 2021-01 - Ensemble Learning for Spectral Clustering
Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
Proceedings of the 20th IEEE International Conference on Data Mining (ICDM2020)/pp.1094-1099, 2020-11 - Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer
Ye Xiucai; Zhang Weihang; Sakurai Tetsuya
IEEE Access/8/pp.154354-154362, 2020-08 - Detecting Interactive Gene Groups for Single-Cell RNA-Seq Data Based on Co-Expression Network Analysis and Subgraph Learning
Ye Xiucai; Zhang Weihang; Futamura Yasunori; Sakurai Tet...
Cells/9(9), 2020-08 - more...
- Extracellular vesicles derived from Wharton's Jelly mesenchymal stem cells inhibit the tumor environment via the miR-125b/HIF1α signaling pathway
- Conference, etc.
- 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 - 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 - more...
- Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering
- 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
- 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
- Teaching
2022-04 -- 2022-08 Computer Science Seminar B University of Tsukuba. 2022-10 -- 2023-02 Computer Science Seminar B University of Tsukuba. 2022-10 -- 2023-02 Computer Science Seminar Bf University of Tsukuba. 2022-10 -- 2023-02 Seminar in Computer Science f University of Tsukuba. 2022-10 -- 2023-02 Research in Computer Science f University of Tsukuba. 2022-10 -- 2023-02 Research in Computer Science If University of Tsukuba. 2022-04 -- 2022-08 Research in Computer Science I University of Tsukuba. 2022-10 -- 2023-02 Research in Computer Science I University of Tsukuba. 2022-04 -- 2022-08 Seminar in Computer Science s University of Tsukuba. 2022-10 -- 2023-02 Computer Science Seminar A University 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 -- 2022-07 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 (SI) Guest Editor 2022-01 -- 2022-05 Frontiers in Plant Science Special Issue on Machine Learning on Understanding the Epigenetic Mechanisms Underlying Plant Adaptation and Domestication Guest Editor 2021-11 -- 2022-03 Computational and Mathematical Methods in Medicine Special Issue on Artificial Intelligence for Biological Sequence and Functional Analysis Guest Editor 2021-11 -- 2022-05 2022 IEEE International Conference on Communications (ICC): Cognitive Radio and AI-Enabled Networks Technical Program Committee 2021-09 -- 2021-11 The Thirty-Sixth AAAI Conference on Artificial Intelligence Program Committee 2021-08 -- 2022-02 The 14th International Conference on Machine Learning and Computing Technical Program Committee 2021-07 -- 2021-07 The International Joint Conference on Neural Networks (IJCNN2021) Session Chair (Session L27: Unsupervised learning and clustering) 2021-06 -- 2022-05 The 6th International Conference on Medical and Health Informatics Technical Program Committee 2021-05 -- 2021-11 The 7th International Symposium on Security and Privacy in Social Networks and Big Data Program 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: 2023-03-06)