叶 秀彩 / Ye, Xiucai

システム情報系 助教 / Assistant Professor, Faculty of Engineering, Information and Systems

 

論文 / Publication

  1. Bioluminescent Proteins Prediction with Voting Strategy Zhao, Shulin, Ju, Ying, Ye, Xiucai, Zhang, Jun, Han, Shuguang Current Bioinformatics 16 (2) 240 - 251 (2021)
  2. 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, Leyi Briefings in Bioinformatics (2021)
  3. 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 (2021)
  4. 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) (accepted) (2021)
  5. Application of learning to rank in bioinformatics tasks Ru, Xiaoqing, Ye, Xiucai, Sakurai, Tetsuya, Zou, Quan Briefings in Bioinformatics (2021)
  6. Multiclass spectral feature scaling method for dimensionality reduction Matsuda, M, Morikuni, Keiichi, Imakura, A, Ye, X, Sakurai, T Intelligent Data Analysis 24 (6) 1273 - 1287 (2020)
  7. Ensemble Learning for Spectral Clustering Li, Hongmin, Ye, Xiucai, Imakura, Akira, Sakurai, Tetsuya Proceeding of the 20th IEEE International Conference on Data Mining (ICDM2020) (accepted) 1094 - 1099 (2020)
  8. 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, Tetsuya Cells 9 (9) (2020)
  9. Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer Ye, Xiucai, Zhang, Weihang, Sakurai, Tetsuya IEEE Access 8 154354 - 154362 (2020)
  10. 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) (accepted) (2020)
  11. Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis Yoda, Hiroyuki, Imakura, Akira, Matsuda, Momo, Ye, Xiucai, Tetsuya, Sakurai International Journal of Machine Learning and Computing (IJMLC) (2020)
  12. An Oversampling Framework for Imbalanced Classification Based on Laplacian Eigenmaps Ye, Xiucai, Li, Hongmin, Imakura, Akira, Sakurai, Tetsuya Neurocomputing 399 107 - 116 (2020)
  13. 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, Xiucai, Su, Ran, Xiao, Guobao, Wei, Leyi Frontiers in Bioengineering and Biotechnology 8 (2020)
  14. Review and comparative analysis of machine learning-based phage virion protein identification methods Meng, Chaolu, Zhang, Jun, Ye, Xiucai, Guo, Fei, Zou, Quan Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics 1868 (6) (2020)
  15. Spectral anomaly detection in large graphs using a complex moment-based eigenvalue solver Futamura, Yasunori, Ye, Xiucai, Imakura, Akira, Sakurai, Tetsuya ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 6 (2) (2020)
  16. 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) 34 - 43 (2020)
  17. 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, Zou, Quan Computers in Biology and Medicine 119 (2020)
  18. 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) (accepted) (2020)
  19. A Comprehensive Data Gathering Network Architecture in Large-Scale Visual Sensor Networks Zhang, Jing, Tsai, Pei-Wei, Xue, Xingsi, Ye, Xiucai, Zhang, Shunmiao PLoS ONE 15 (1) (2020)
  20. Multiclass spectral feature scaling method for dimensionality reduction Matsuda, M, Morikuni, K, Imakura, A, Ye, X, Sakurai, T arXiv:1910.07174 [cs.LG] 1 - 16 (2019)

researchmap の論文リストを表示する Show the publication list on researchmap

※上記の論文リストは researchmapから取得した論文リストにDOIリンク等の情報を付加したものです。筑波大学研究者総覧(TRIOS)または researchmapの論文リストが更新されると後日反映されます。

論文のオープンアクセス版を読む Check out a freely downloadable version

知財 / Intellectual properties

  1. 特願2019-104396 : 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
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COTRE(コトリ)|COmmunity of Tsukuba REsearchers

発行:筑波大学 URA研究戦略推進室・研究推進部