Xiaoyan Zhu

According to our database, Xiaoyan Zhu authored at least 43 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning multi-behavior user intent for session-based recommendation.

Yu Zhang, Xiaoyan Zhu, Guopeng He, Jiaxuan Li, Jiayin Wang

Expert Syst. Appl., 2025

2024

Dual-channel graph contrastive learning for multi-label classification with label-specific features and label correlations.

Xiaoyan Zhu, Tong Zhu, Jiaxuan Li, Jiayin Wang

Neural Comput. Appl., August, 2024

A risk-adjusted exponentially weighted moving average control chart for detection of the scale parameter in surgical quality monitoring.

Xin Lai, Xiao Li, Liu Liu, Jiayin Wang, Xuanping Zhang, Xiaoyan Zhu, Paul B. S. Lai

Qual. Reliab. Eng. Int., March, 2024

A novel instance-based method for cross-project just-in-time defect prediction.

Xiaoyan Zhu, Tian Qiu, Jiayin Wang, Xin Lai

Softw. Pract. Exp., 2024

A ranking-based problem transformation method for weakly supervised multi-label learning.

Jiaxuan Li, Xiaoyan Zhu, Weichu Zhang, Jiayin Wang

Pattern Recognit., 2024

Graph-enhanced and collaborative attention networks for session-based recommendation.

Xiaoyan Zhu, Yu Zhang, Jiayin Wang, Guangtao Wang

Knowl. Based Syst., 2024

Stacked co-training for semi-supervised multi-label learning.

Jiaxuan Li, Xiaoyan Zhu, Hongrui Wang, Yu Zhang, Jiayin Wang

Inf. Sci., 2024

Classifier chain-based monitoring method for multivariate surgical outcomes.

Xin Lai, Xin Lian, Jiayin Wang, Liu Liu, Xuanping Zhang, Xiaoyan Zhu, Yuqian Liu, Xin Chen, Paul B. S. Lai

Comput. Ind. Eng., 2024

TMBstable: a variant caller controls performance variation across heterogeneous sequencing samples.

Shenjie Wang, Xiaoyan Zhu, Xuwen Wang, Yuqian Liu, Minchao Zhao, Zhili Chang, Xiaonan Wang, Yang Shao, Jiayin Wang

Briefings Bioinform., 2024

Label-Specific Multi-label Classification with Entropy Guided Clustering.

Jiaxuan Li, Tong Zhu, Xiaoyan Zhu, Jiayin Wang

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

SCR-CUSUM: An illness-death semi-Markov model-based risk-adjusted CUSUM for semi-competing risk data monitoring.

Ruoyu Liu, Xin Lai, Jiayin Wang, Xiaoyan Zhu, Yuqian Liu

Comput. Ind. Eng., October, 2023

Automated machine learning with dynamic ensemble selection.

Xiaoyan Zhu, Jingtao Ren, Jiayin Wang, Jiaxuan Li

Appl. Intell., October, 2023

2022

Just-in-time defect prediction for software hunks.

Xiaoyan Zhu, Chenyu Yan, E. James Whitehead Jr., Binbin Niu, Lei Zhu, Long Pan

Softw. Pract. Exp., 2022

Residuals based EWMA control charts with risk adjustments for zero-inflated Poisson models.

Xin Lai, Ruoyu Liu, Liu Liu, Jiayin Wang, Xuanping Zhang, Xiaoyan Zhu, Ka Chun Chong

Qual. Reliab. Eng. Int., 2022

2021

Automatic Recommendation of a Distance Measure for Clustering Algorithms.

Xiaoyan Zhu, Yingbin Li, Jiayin Wang, Tian Zheng, Jingwen Fu

ACM Trans. Knowl. Discov. Data, 2021

Risk-adjusted zero-inflated Poisson CUSUM charts for monitoring influenza surveillance data.

Yueying Tan, Xin Lai, Jiayin Wang, Xuanping Zhang, Xiaoyan Zhu, Ka Chun Chong, Paul K. S. Chan, Jing Tang

BMC Medical Informatics Decis. Mak., 2021

A non-linear ensemble model-based surgical risk calculator for mixed data from multiple surgical fields.

Ruoyu Liu, Xin Lai, Jiayin Wang, Xuanping Zhang, Xiaoyan Zhu, Paul B. S. Lai, Ci-ren Guo

BMC Medical Informatics Decis. Mak., 2021

Ensemble of ML-KNN for classification algorithm recommendation.

Xiaoyan Zhu, Chenzhen Ying, Jiayin Wang, Jiaxuan Li, Xin Lai, Guangtao Wang

Knowl. Based Syst., 2021

A risk-adjusted approach to monitoring surgery for survival outcomes based on a weighted score test.

Xin Lai, Xiao Li, Liu Liu, Fugee Tsung, Paul B. S. Lai, Jiayin Wang, Xuanping Zhang, Xiaoyan Zhu, Jiaqi Liu

Comput. Ind. Eng., 2021

Chinese named entity recognition method for the field of network security based on RoBERTa.

Xiaoyan Zhu, Yu Zhang, Lei Zhu, Xinhong Hei, Yichuan Wang, Feixiong Hu, Yanni Yao

Proceedings of the 2021 International Conference on Networking and Network Applications, 2021

A new multiple instance algorithm using structural information.

Xiaoyan Zhu, Ting Wang, Jiayin Wang, Ying Xu, Yuqian Liu

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

A prognostic index based on a fourteen long non-coding RNA signature to predict the recurrence-free survival for muscle-invasive bladder cancer patients.

Xiaolong Zhang, Meng Zhang, Xuanping Zhang, Xiaoyan Zhu, Jiayin Wang

BMC Medical Informatics Decis. Mak., 2020

SETE: Sequence-based Ensemble learning approach for TCR Epitope binding prediction.

Yao Tong, Jiayin Wang, Tian Zheng, Xuanping Zhang, Xiao Xiao, Xiaoyan Zhu, Xin Lai, Xiang Liu

Comput. Biol. Chem., 2020

A hybrid correcting method considering heterozygous variations by a comprehensive probabilistic model.

Jiaqi Liu, Jiayin Wang, Xiao Xiao, Xin Lai, Daocheng Dai, Xuanping Zhang, Xiaoyan Zhu, Zhongmeng Zhao, Juan Wang, Zhimin Li

BMC Genom., 2020

Collaborative filtering based recommendation of sampling methods for software defect prediction.

Zhongbin Sun, Jingqi Zhang, Heli Sun, Xiaoyan Zhu

Appl. Soft Comput., 2020

2019

Recognition Of Surface Defects On Steel Sheet Using Transfer Learning.

Jingwen Fu, Xiaoyan Zhu, Yingbin Li

CoRR, 2019

A new unsupervised feature selection algorithm using similarity-based feature clustering.

Xiaoyan Zhu, Yu Wang, Yingbin Li, Yonghui Tan, Guangtao Wang, Qinbao Song

Comput. Intell., 2019

FilterLAP: Filtering False-positive Mutation Calls via a Label Propagation Framework.

Xuwen Wang, Xiaoyan Zhu, Xiao Xiao, Shenjie Wang, Xuanping Zhang, Xin Lai, Jiayin Wang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

GSDcreator: An Efficient and Comprehensive Simulator for Genarating NGS Data with Population Genetic Information.

Shenjie Wang, Jiayin Wang, Xiao Xiao, Xuanping Zhang, Xuwen Wang, Xiaoyan Zhu, Xin Lai

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

An Artificial Fish Swarm Algorithm for Identifying Associations between Multiple Variants and Multiple Phenotypes.

Ruoyu Liu, Xin Lai, Xiao Xiao, Xuanping Zhang, Xiaoyan Zhu, Jiayin Wang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

An empirical study of software change classification with imbalance data-handling methods.

Xiaoyan Zhu, Binbin Niu, E. James Whitehead Jr., Zhongbin Sun

Softw. Pract. Exp., 2018

Software change-proneness prediction through combination of bagging and resampling methods.

Xiaoyan Zhu, Yueyang He, Long Cheng, Xiaolin Jia, Lei Zhu

J. Softw. Evol. Process., 2018

A new classification algorithm recommendation method based on link prediction.

Xiaoyan Zhu, Xiaomei Yang, Chenzhen Ying, Guangtao Wang

Knowl. Based Syst., 2018

2017

Efficient (k, n) Secret Sharing Scheme Secure against k - 2 Cheaters.

Lei Zhu, Yanxiao Liu, Yichuan Wang, Wenjiang Ji, Xinhong Hei, Quanzhu Yao, Xiaoyan Zhu

Proceedings of the International Conference on Networking and Network Applications, 2017

2016

A machine learning based software process model recommendation method.

Qinbao Song, Xiaoyan Zhu, Guangtao Wang, Heli Sun, He Jiang, Chenhao Xue, Baowen Xu, Wei Song

J. Syst. Softw., 2016

2015

An analysis of programming language statement frequency in C, C++, and Java source code.

Xiaoyan Zhu, E. James Whitehead Jr., Caitlin Sadowski, Qinbao Song

Softw. Pract. Exp., 2015

A novel ensemble method for classifying imbalanced data.

Zhongbin Sun, Qinbao Song, Xiaoyan Zhu, Heli Sun, Baowen Xu, Yuming Zhou

Pattern Recognit., 2015

A Selective Detector Ensemble for Concept Drift Detection.

Lei Du, Qinbao Song, Lei Zhu, Xiaoyan Zhu

Comput. J., 2015

2013

Automated Identification of Change-Prone Classes in Open Source Software Projects.

Xiaoyan Zhu, Qinbao Song, Zhongbin Sun

J. Softw., 2013

Does bug prediction support human developers? findings from a google case study.

Chris Lewis, Zhongpeng Lin, Caitlin Sadowski, Xiaoyan Zhu, Rong Ou, E. James Whitehead Jr.

Proceedings of the 35th International Conference on Software Engineering, 2013

2012

Using Coding-Based Ensemble Learning to Improve Software Defect Prediction.

Zhongbin Sun, Qinbao Song, Xiaoyan Zhu

IEEE Trans. Syst. Man Cybern. Part C, 2012

An Empirical Analysis of Software Changes on Statement Entity in Java Open Source Projects.

Xiaoyan Zhu, Qinbao Song, Zhongbin Sun

Int. J. Open Source Softw. Process., 2012

2011

An empirical analysis of the FixCache algorithm.

Caitlin Sadowski, Chris Lewis, Zhongpeng Lin, Xiaoyan Zhu, E. James Whitehead Jr.

Proceedings of the 8th International Working Conference on Mining Software Repositories, 2011