Xiucai Ye - My portal - researchmap

Profile Information

Affiliation: University of Tsukuba Faculty of Engineering, Information and Systems Assistant Professor

Contact information: yexiucaics.tsukuba.ac.jp
J-GLOBAL ID: 201701019433059313

Research Interests

2

Feature Selection, Clustering, Classification, Machine Learning, Data Analysis, Bioinformatics, Network Computing
Feature Selection, Clustering, Classification, Machine Learning, Data Analysis, Wireless Sensor Networks, Network Computing

Research Areas

1

Informatics / Mathematical informatics /

Research History

3

Apr, 2018 - Present

University of Tsukuba Faculty of Engineering,Information and Systems Assistant Professor
Jul, 2014 - Mar, 2018

University of Tsukuba Faculty of Engineering,Information and Systems Postdoctoral Researcher
Apr, 2014 - Jun, 2014

University of Tsukuba Faculty of Engineering,Information and Systems Postdoctoral Researcher

Education

1

Apr, 2010 - Mar, 2014

University of Tsukuba Graduate School of Systems and Information Engnieering Department of Computer Science

Committee Memberships

39

Aug, 2020 - May, 2021

The 5th International Conference on Medical and Health Informatics Technical Program Committee
Aug, 2020 - Feb, 2021

The 13th International Conference on Machine Learning and Computing Technical Program Committee
Aug, 2020 - Feb, 2021

The 5th International Conference on Medical and Health Informatics Technical Program Committee
Aug, 2020 - Feb, 2021

The 13th International Conference on Machine Learning and Computing Technical Program Committee
Aug, 2020 - Dec, 2020

The 26th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2020) Program Committee

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Awards

6

May, 2019

Excellent Oral Presentation Award Award from International Conference on Medical and Health Informatics (ICMHI)

Xiucai Ye, Hongmin Li, Tetsuya Sakurai, Pei-Wei Shueng
Oct, 2018

IEEE International Conference on Cloud and Big Data Computing (CBDCom) Best Paper Award Award from IEEE International Conference on Cloud and Big Data Computing (CBDCom)

Xiucai Ye, Hongmin Li, Tetsuya Sakurai, Zhi Liu
May, 2017

Best Paper Award Award from International Conference on Medical and Health Informatics (ICMHI)

Xiucai Ye, Tetsuya Sakurai
Feb, 2017

９th International Conference on Machine Learning and Computing (ICMLC) Excellent Oral Presentation Award Award from International Conference on Machine Learning and Computing (ICMLC)

Xiucai Ye, Tetsuya Sakurai
Feb, 2016

8th International Conference on Machine Learning and Computing (ICMLC) Excellent Oral Presentation Award Award from International Conference on Machine Learning and Computing (ICMLC)

Xiucai Ye, Kaiyang Ji, Tetsuya Sakurai

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Papers

47

Application of learning to rank in bioinformatics tasks

Ru, Xiaoqing, Ye, Xiucai, Sakurai, Tetsuya, Zou, Quan

Briefings in Bioinformatics Jan, 2021 Peer-reviewed
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 Dec, 2020 Peer-reviewed
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) Aug, 2020 Peer-reviewed
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 Aug, 2020 Peer-reviewed
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) Jul, 2020 Peer-reviewed

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Presentations

36

Ensemble Learning for Spectral Clustering

Li, Hongmin, Ye, Xiucai, Imakura, Akira, Sakurai, Tetsuya

IEEE International Conference on Data Mining (ICDM 2020) Nov 17, 2020
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) Jul 19, 2020
Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis

Yoda, Hiroyuki, Akira, Imakura, Momo, Matsuda, Ye, Xiucai, Sakurai, Tetsuya

12th International Conference on Machine Learning and Computing Jun 19, 2020
Distributed Feature Selection by Collaborative Data Analysis

Ye, Xiucai, Li, Hongmin, Imakura, Akira, Sakurai, Tetsuya

12th International Conference on Machine Learning and Computing Jun 19, 2020 Invited
A complex moment-based dimensionality reduction for data analysis

Imakura, Akira, Matsuda, Momo, Ye, Xiucai, Sakurai, Tetsuya

2019 Mini-Workshop on Computational Science (MWCS2019) Aug 18, 2019 Invited

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Professional Memberships

3

Industrial Property Rights

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