YE Xiucai

Researcher's full information

Articles

• Analysis of Drug Repositioning and Prediction Techniques: A Concise Review
  He Shida; Liu Xin; Ye Xiucai; Sakurai Tetsuya
  Current Topics in Medicinal Chemistry/22(23)/pp.1897-1906, 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
• 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
  
  PubMed
• 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
  
  PubMed
• Collaborative Data Analysis: Non-Model Sharing-Type Machine Learning for Distributed Data
  Imakura Akira; Ye Xiucai; Sakurai Tetsuya
  Proceeding of the 2020 Principle and Practice of Data and Knowledge Acquisition Workshop (PKAW2020)/12280/pp.14-19, 2021-2
• A Bioinformatics Tool for the Prediction of DNA N6-Methyladenine Modifications Based on Feature Fusion and Optimization Protocol
  Cai Jianhua; Wang Donghua; Chen Riqing; Niu Yuzhen; Ye X...
  Frontiers in Bioengineering and Biotechnology/8, 2020-06
  
  PubMed Tsukuba Repository
• An Oversampling Framework for Imbalanced Classification Based on Laplacian Eigenmaps
  Ye Xiucai; Li Hongmin; Imakura Akira; Sakurai Tetsuya
  Neurocomputing/399/pp.107-116, 2020-07
• Hubness-based Sampling Method for Nystrom Spectral Clustering
  Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
  Proceeding of the International Joint Conference on Neural Networks (IJCNN 2020), 2020-07
• A Spatial Correlation Based Partial Coverage Scheduling Scheme in Wireless Sensor Networks
  Zhang Jing; Nian Hongrui; Ye Xiucai; Ji Xiaorong; He Yao
  Journal of Network Intelligence/5(2)/pp.34-43, 2020-05
• Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm
  Ru Xiaoqing; Wang Lida; Li Lihong; Ding Hui; Ye Xiucai; Z...
  Computers in Biology and Medicine/119, 2020-04
  
  PubMed
• Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis
  Yoda Hiroyuki; Imakura Akira; Matsuda Momo; Ye Xiucai; Te...
  International Journal of Machine Learning and Computing (IJMLC), 2020-07
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