Xiucai Ye

发表

Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation

Tetsuya Sakurai, Xiucai Ye, Kaiyang Ji, 2016, FLAIRS Conference.

Distributed Collaborative Feature Selection Based on Intermediate Representation

Tetsuya Sakurai, Hongmin Li, Akira Imakura, 2019, IJCAI.

Large Scale Spectral Clustering Using Sparse Representation Based on Hubness

Tetsuya Sakurai, Hongmin Li, Zhi Liu, 2018, 2018 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).

Distributed Separate Coding for Continuous Data Collection in Wireless Sensor Networks

Li Xu, Jie Li, Xiucai Ye, 2014, TOSN.

Multi-objective Optimization Based Virtual Resource Allocation Strategy for Cloud Computing

Li Xu, Zhibin Zeng, Xiucai Ye, 2012, 2012 IEEE/ACIS 11th International Conference on Computer and Information Science.

Feature Selection via Embedded Learning Based on Tangent Space Alignment for Microarray Data

Tetsuya Sakurai, Xiucai Ye, 2017 .

A Comprehensive Data Gathering Network Architecture in Large-Scale Visual Sensor Networks

Shunmiao Zhang, Xingsi Xue, Pei-Wei Tsai, 2020, PloS one.

Spectral clustering using robust similarity measure based on closeness of shared Nearest Neighbors

Tetsuya Sakurai, Xiucai Ye, T. Sakurai, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Spectral clustering and discriminant analysis for unsupervised feature selection

Tetsuya Sakurai, Xiucai Ye, Kaiyang Ji, 2016, ESANN.

Review and comparative analysis of machine learning-based phage virion protein identification methods.

Fei Guo, Quan Zou, Xiucai Ye, 2020, Biochimica et biophysica acta. Proteins and proteomics.

Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer

Xiucai Ye, Pei-Wei Shueng, Hongmin Li, 2019, International journal of medical sciences.

Small-world Model Based Clustering Division Scheme in Wireless Sensor Network

Liwei Lin, Li Xu, Xiucai Ye, 2009, 2009 WRI International Conference on Communications and Mobile Computing.

Spectral clustering with adaptive similarity measure in Kernel space

Tetsuya Sakurai, Xiucai Ye, T. Sakurai, 2018, Intell. Data Anal..

A Bioinformatics Tool for the Prediction of DNA N6-Methyladenine Modifications Based on Feature Fusion and Optimization Protocol

Riqing Chen, Guobao Xiao, Ran Su, 2020, Frontiers in Bioengineering and Biotechnology.

Spectral Anomaly Detection in Large Graphs Using a Complex Moment-Based Eigenvalue Solver

Tetsuya Sakurai, Akira Imakura, Yasunori Futamura, 2020, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.

Collecting all data continuously in wireless sensor networks with a mobile base station

Li Xu, Jie Li, Huaibei Liu, 2015, Int. J. Comput. Sci. Eng..

A novel sleep scheduling scheme in green wireless sensor networks

Li Xu, Jing Zhang, Shuming Zhou, 2014, The Journal of Supercomputing.

LT codes based distributed coding for efficient distributed storage in Wireless Sensor Networks

Feilong Tang, Jie Li, Wen-Tsuen Chen, 2015, 2015 IFIP Networking Conference (IFIP Networking).

Group Data Collection in wireless sensor networks with a mobile base station

Li Xu, Jie Li, Xiucai Ye, 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

Tetsuya Sakurai, Xiucai Ye, 2017, ICMLC.

Hubness-based Sampling Method for Nyström Spectral Clustering

Tetsuya Sakurai, Hongmin Li, Akira Imakura, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm

Lihong Li, Quan Zou, Xiucai Ye, 2020, Comput. Biol. Medicine.

Unsupervised Feature Learning for Gene Selection in Microarray Data Analysis

Tetsuya Sakurai, Xiucai Ye, 2017 .

An oversampling framework for imbalanced classification based on Laplacian eigenmaps

Tetsuya Sakurai, Hongmin Li, Akira Imakura, 2020, Neurocomputing.

Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning

Tetsuya Sakurai, Xiucai Ye, 2018, J. Univers. Comput. Sci..

Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer

Tetsuya Sakurai, Xiucai Ye, Weihang Zhang, 2020, IEEE Access.

Multiclass spectral feature scaling method for dimensionality reduction

Tetsuya Sakurai, Akira Imakura, Xiucai Ye, 2019, Intell. Data Anal..

Tetsuya Sakurai, Xiucai Ye, 2016 .

M6AMRFS: Robust Prediction of N6-Methyladenosine Sites With Sequence-Based Features in Multiple Species

Ran Su, Leyi Wei, Xiucai Ye, 2018, Front. Genet..

An efficient connected dominating set algorithm in WSNs based on the induced tree of the crossed cube

Li Xu, Jing Zhang, Shuming Zhou, 2015, Int. J. Appl. Math. Comput. Sci..

Small-World Model Based Topology Optimization in Wireless Sensor Network

Li Xu, Liwei Lin, Xiucai Ye, 2008, 2008 International Symposium on Information Science and Engineering.

Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction

Tetsuya Sakurai, Akira Imakura, Xiucai Ye, 2019, AAAI.

CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning

Ran Su, Leyi Wei, Xiucai Ye, 2018, Briefings Bioinform..

A Novel Data Collection Scheme for WSNs

Li Xu, Jie Li, Xiucai Ye, 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).

Cost-Optimized Video Dissemination Over Heterogeneous Cloud With SLAs Support

Xiucai Ye, Zhiqiang Ruan, 2019, IEEE Access.

A Novel Network Coding Scheme for Data Collection in WSNs with a Mobile BS

Yusheng Ji, Jie Li, Xiucai Ye, 2011, DNIS.

A novel data collection scheme with Cluster-based Separate Network Coding for WSNs

Li Xu, Jie Li, M. Guizani, 2012, 2012 Computing, Communications and Applications Conference.

Collaborative Novelty Detection for Distributed Data by a Probabilistic Method

Tetsuya Sakurai, Akira Imakura, Xiucai Ye, 2021, ACML.

LSEC: Large-scale spectral ensemble clustering pdf

Tetsuya Sakurai, Akira Imakura, Xiucai Ye, 2021, Intell. Data Anal..

Spectral Clustering Joint Deep Embedding Learning by Autoencoder

Akira Imakura, Xiucai Ye, Chunhao Wang, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Divide-and-conquer based Large-Scale Spectral Clustering pdf

Tetsuya Sakurai, Akira Imakura, Xiucai Ye, 2021, ArXiv.

Bioluminescent Proteins Prediction with Voting Strategy

Ying Ju, Xiucai Ye, Shuguang Han, 2021 .

ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism

Leyi Wei, Xiucai Ye, Tetsuya Sakurai, 2021, Briefings Bioinform..

Scaling Method for Batch Effect Correction of Gene Expression Data Based on Spectral Clustering

Tetsuya Sakurai, Xiucai Ye, Momo Matsuda, 2021, Current Bioinformatics.

Contour Integral-based Quantum Algorithm for Estimating Matrix Eigenvalue Density pdf

Tetsuya Sakurai, Yasunori Futamura, Xiucai Ye, 2021, ArXiv.

Application of learning to rank in bioinformatics tasks

Tetsuya Sakurai, Quan Zou, Xiucai Ye, 2021, Briefings Bioinform..

Unsupervised Feature Selection with Correlation and Individuality Analysis

Tetsuya Sakurai, Xiucai Ye, Kaiyang Ji, 2022 .