Xiaoyan Zhu

According to our database, Xiaoyan Zhu authored at least 68 papers between 2011 and 2026.

Collaborative distances:

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

2026

Do Papers Match Code? A Benchmark and Framework for Paper-Code Consistency Detection in Bioinformatics Software.

Tianxiang Xu, Xiaoyan Zhu, Xin Lai, Sizhe Dang, Xin Lian, Hangyu Cheng, Jiayin Wang

CoRR, March, 2026

Reaching Software Quality for Bioinformatics Applications: How Far Are We?

Xiaoyan Zhu, Tianxiang Xu, Xin Lai, Xin Lian, Hangyu Cheng, Jiayin Wang

IEEE Trans. Software Eng., February, 2026

UF-CDDFM: A unified framework for code defect detection using multi-modal inputs and few-shot learning.

Xianglu Zhou, Tianxiang Cui, Xiaoyan Zhu, Jiayin Wang, Xin Lai

Inf. Softw. Technol., 2026

PScnv: personalized self-normalizing CNV detection with a hierarchical multi-phase framework.

Xuwen Wang, Zhili Chang, Wansheng Lv, Akhatov Akmal, Xamidov Munis, Xunbiao Liu, Shenjie Wang, Xiaoyan Zhu, Chong Du, Shuqun Zhang, Jiayin Wang

Bioinform., 2026

Making Every Head Count: Sparse Attention Without the Speed-Performance Trade-off.

Mingkuan Zhao, Wentao Hu, Jiayin Wang, Xin Lai, Tianchen Huang, Yuheng Min, Rui Yan, Xiaoyan Zhu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Mosaic Pruning: A Hierarchical Framework for Generalizable Pruning of Mixture-of-Experts Models.

Wentao Hu, Mingkuan Zhao, Shuangyong Song, Xiaoyan Zhu, Xin Lai, Jiayin Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

TMBclaw: tumor clone-aware graph learning improves immunotherapy response prediction across heterogeneous cohorts.

Yixuan Wang, Tianyi Zhu, Xiaofeng Song, Peng Chen, Xiaoyan Zhu, Zhili Chang, Xiaonan Wang, Xin Lai, Jiayin Wang

Briefings Bioinform., November, 2025

TMBquant: an explainable AI-powered caller advancing tumor mutation burden quantification across heterogeneous samples.

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

Briefings Bioinform., September, 2025

EMcnv: enhancing CNV detection performance through ensemble strategies with heterogeneous meta-graph neural networks.

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

Briefings Bioinform., March, 2025

MRDtarget: A heuristic Gaussian approach for optimizing targeted capture regions to enhance Minimal Residual Disease detection.

Xuwen Wang, Yanfang Guan, Wei Gao, Xin Lai, Wuqiang Cao, Xiaoyan Zhu, Xiaoling Zeng, Yuqian Liu, Shenjie Wang, Ruoyu Liu, Xin Yi, Shuanying Yang, Jiayin Wang

PLoS Comput. Biol., 2025

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

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

Expert Syst. Appl., 2025

MRDagent: iterative and adaptive parameter optimization for stable ctDNA-based MRD detection in heterogeneous samples.

Tianci Wang, Xin Lai, Shenjie Wang, Yuqian Liu, Xiaoyan Zhu, Jiayin Wang

Bioinform., 2025

MRDadaptis: self-adaptive parameter configuration enhances minimal residual disease detection in heterogeneous ctDNA samples.

Tianci Wang, Xin Lai, Shenjie Wang, Zhengfa Xue, Yuqian Liu, Xiaoyan Zhu, Xiaonan Wang, Zhili Chang, Yang Shao, Xian Zhang, Jiayin Wang

Briefings Bioinform., 2025

Efficient Integration of ASR with Large Language Models to Enhance Video Search at Scale.

Qiang Zhang, Fengshun Xiao, Tianjiao Li, Li Lin, Hanyin Fang, Huyang Sun, Ruoyu Liu, Xiaoyan Zhu, Jiayin Wang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Cross-Project Defect Prediction Based on Feature Fusion and Local Domain Adaptation.

Xianglu Zhou, Xiaoyan Zhu, Yu Wang, Jiayin Wang, Xin Lai

Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025

Multi-Label Ranking Loss Minimization for Matrix Completion.

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

TCSR: Self-attention with time and category for session-based recommendation.

Xiaoyan Zhu, Yu Zhang, Jiaxuan Li, Jiayin Wang, Xin Lai

Comput. Intell., October, 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

NIPT-PG: empowering non-invasive prenatal testing to learn from population genomics through an incremental pan-genomic approach.

Zhengfa Xue, Aifen Zhou, Xiaoyan Zhu, Linxuan Li, Huanhuan Zhu, Xin Jin, Jiayin Wang

Briefings Bioinform., July, 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., May, 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

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

Correction of Read Biases Induced by Complex Reference Genome Regions for Improving Copy Number Variation Detection Using a Gaussian Mixture Model.

Xuwen Wang, Zhili Chang, Shenjie Wang, Ruoyu Liu, Yuqian Liu, Xiaoyan Zhu, Yang Shao, Xin Lai, Shuanying Yang, Jiayin Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Enabling Adaptive CNV Detection through A Novel Predictive Control Framework.

Yuqian Liu, Jiajing Yuan, Xiaoyan Zhu, Xin Lai, Ruoyu Liu, Xuwen Wang, Jiayin Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

RMComBat: A Batch Effect Correction Algorithm for Repeated Measurement Sequencing Data to Prevent Overcorrection.

Yuqian Liu, Zhaoxing Wei, Jiayin Wang, Xiaoyan Zhu, Ruoyu Liu, Xuwen Wang, Shenjie Wang, Xin Lai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

LMR-EWMA: A LASSO-based Multivariate Residual Control Chart for Monitoring Rare Health-Related Events.

Ruoyu Liu, Jiayin Wang, Xiaoyan Zhu, Yuqian Liu, Yixuan Wang, Shuanying Yang, Xin Lai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

An Enhanced Multiple Correction Method with Limited Independent Effective SNPs.

Xin Lai, Xiaohai Yang, Jiayin Wang, Xiaoyan Zhu, Yuqian Liu, Ruoyu Liu, Xuwen Wang, Shenjie Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Multi-Objective Policy Monitoring Method for Epidemic Control.

Xin Lai, Rundong Fan, Ruoyu Liu, Jiayin Wang, Xiaoyan Zhu, Yuqian Liu, Xuwen Wang, Shenjie Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

Dynamic ensemble learning for multi-label classification.

Xiaoyan Zhu, Jiaxuan Li, Jingtao Ren, Jiayin Wang, Guangtao Wang

Inf. Sci., April, 2023

AdaBoost.C2: Boosting Classifiers Chains for Multi-Label Classification.

Jiaxuan Li, Xiaoyan Zhu, Jiayin Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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