Wen Zhang

According to our database, Wen Zhang authored at least 60 papers between 2005 and 2025.

Collaborative distances:

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

2025

ExGAT: Context extended graph attention neural network.

Pei Quan, Lei Zheng, Wen Zhang, Yang Xiao, Lingfeng Niu, Yong Shi

Neural Networks, 2025

Predicting the number of COVID-19 imported cases based on cross-modal transformer: A case study in China.

Wen Zhang, Rui Xie, Jian Li, Liang Wang, Xiang Li, Peng Peng

Expert Syst. Appl., 2025

2024

Lightweight Deep Learning for Missing Data Imputation in Wastewater Treatment With Variational Residual Auto-Encoder.

Wen Zhang, Rui Li, Pei Quan, Jiang Chang, Yongsheng Bai, Bojun Su

IEEE Internet Things J., December, 2024

2023

Prediction of influent wastewater quality based on wavelet transform and residual LSTM.

Wen Zhang, Jiangpeng Zhao, Pei Quan, Jiawei Wang, Xiaoyu Meng, Qun Li

Appl. Soft Comput., November, 2023

SusRec: An Approach to Sustainable Developer Recommendation for Bug Resolution Using Multimodal Ensemble Learning.

Wen Zhang, Jiangpeng Zhao, Rui Peng, Song Wang, Ye Yang

IEEE Trans. Reliab., March, 2023

Benefits or harms? The effect of online review manipulation on sales.

Qiang Wang, Wen Zhang, Jian Li, Zhenzhong Ma, Jindong Chen

Electron. Commer. Res. Appl., January, 2023

2022

TCP-BAST: A novel approach to traffic congestion prediction with bilateral alternation on spatiality and temporality.

Wen Zhang, Shaoshan Yan, Jian Li

Inf. Sci., 2022

A novel approach for fraudulent reviewer detection based on weighted topic modelling and nearest neighbors with asymmetric Kullback-Leibler divergence.

Wen Zhang, Rui Xie, Qiang Wang, Ye Yang, Jian Li

Decis. Support Syst., 2022

Effect of online review sentiment on product sales: The moderating role of review credibility perception.

Qiang Wang, Wen Zhang, Jian Li, Feng Mai, Zhenzhong Ma

Comput. Hum. Behav., 2022

A comparative study on the effect of data imbalance on software defect prediction.

Yanbin Liu, Wen Zhang, Guangjie Qin, Jiangpeng Zhao

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

2021

A 2020 perspective on "DeRec: A data-driven approach to accurate recommendation with deep learning and weighted loss function".

Wen Zhang, Qiang Wang, Ye Yang, Taketoshi Yoshida

Electron. Commer. Res. Appl., 2021

RP-LGMC: Rating prediction based on local and global information with matrix clustering.

Wen Zhang, Qiang Wang, Taketoshi Yoshida, Jian Li

Comput. Oper. Res., 2021

SusTriage: Sustainable Bug Triage with Multi-modal Ensemble Learning.

Wen Zhang, Jiangpeng Zhao, Song Wang

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

Handling Imbalance in Fraudulent Reviewer Detection based on Expectation Maximization and KL Divergence.

Wen Zhang, Guangjie Qin, Qiang Wang

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

2020

A Two-Stage Rating Prediction Approach Based on Matrix Clustering on Implicit Information.

Wen Zhang, Xiang Li, Jian Li, Ye Yang, Taketoshi Yoshida

IEEE Trans. Comput. Soc. Syst., 2020

2019

Feature weighted confidence to incorporate prior knowledge into support vector machines for classification.

Wen Zhang, Lean Yu, Taketoshi Yoshida, Qing Wang

Knowl. Inf. Syst., 2019

DeepRec: A deep neural network approach to recommendation with item embedding and weighted loss function.

Wen Zhang, Yuhang Du, Taketoshi Yoshida, Ye Yang

Inf. Sci., 2019

FineLocator: A novel approach to method-level fine-grained bug localization by query expansion.

Wen Zhang, Ziqiang Li, Qing Wang, Juan Li

Inf. Softw. Technol., 2019

BBS Posts Time Series Analysis based on Sample Entropy and Deep Neural Networks.

Jindong Chen, Yuxuan Du, Linlin Liu, Pinyi Zhang, Wen Zhang

Entropy, 2019

2018

DRI-RCNN: An approach to deceptive review identification using recurrent convolutional neural network.

Wen Zhang, Yuhang Du, Taketoshi Yoshida, Qing Wang

Inf. Process. Manag., 2018

SamEn-SVR: using sample entropy and support vector regression for bug number prediction.

Wen Zhang, Yuhang Du, Taketoshi Yoshida, Qing Wang, Xiangjun Li

IET Softw., 2018

DeRec: A data-driven approach to accurate recommendation with deep learning and weighted loss function.

Wen Zhang, Yuhang Du, Ye Yang, Taketoshi Yoshida

Electron. Commer. Res. Appl., 2018

2017

En-LDA: An Novel Approach to Automatic Bug Report Assignment with Entropy Optimized Latent Dirichlet Allocation.

Wen Zhang, Yangbo Cui, Taketoshi Yoshida

Entropy, 2017

2016

KSAP: An approach to bug report assignment using KNN search and heterogeneous proximity.

Wen Zhang, Song Wang, Qing Wang

Inf. Softw. Technol., 2016

CoSpa: A Co-training Approach for Spam Review Identification with Support Vector Machine.

Wen Zhang, Chaoqi Bu, Taketoshi Yoshida, Siguang Zhang

Inf., 2016

CoFea: A Novel Approach to Spam Review Identification Based on Entropy and Co-Training.

Wen Zhang, Chaoqi Bu, Taketoshi Yoshida, Siguang Zhang

Entropy, 2016

Using SVD on Clusters to Improve Precision of Interdocument Similarity Measure.

Wen Zhang, Fan Xiao, Bin Li, Siguang Zhang

Comput. Intell. Neurosci., 2016

2015

HIPRank: Ranking Nodes by Influence Propagation Based on Authority and Hub.

Wen Zhang, Song Wang, Guangle Han, Ye Yang, Qing Wang

Proceedings of the Smart Modeling and Simulation for Complex Systems - Practice and Theory, 2015

TESC: An approach to TExt classification using Semi-supervised Clustering.

Wen Zhang, Xijin Tang, Taketoshi Yoshida

Knowl. Based Syst., 2015

Using Bayesian regression and EM algorithm with missing handling for software effort prediction.

Wen Zhang, Ye Yang, Qing Wang

Inf. Softw. Technol., 2015

2014

LSG: A Unified Multi-dimensional Latent Semantic Graph for Personal Information Retrieval.

Huangfu Yang, Kuien Liu, Wen Zhang, Peng Zhou, Yanjun Wu, Qing Wang, Jia Zhu

Proceedings of the Web-Age Information Management - 15th International Conference, 2014

FixerCache: unsupervised caching active developers for diverse bug triage.

Song Wang, Wen Zhang, Qing Wang

Proceedings of the 2014 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, 2014

BUTTER: An Approach to Bug Triage with Topic Modeling and Heterogeneous Network Analysis.

Wen Zhang, Guangle Han, Qing Wang

Proceedings of the International Conference on Cloud Computing and Big Data, 2014

2013

DevNet: Exploring Developer Collaboration in Heterogeneous Networks of Bug Repositories.

Song Wang, Wen Zhang, Ye Yang, Qing Wang

Proceedings of the 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2013

Heterogeneous Network Analysis of Developer Contribution in Bug Repositories.

Wen Zhang, Song Wang, Ye Yang, Qing Wang

Proceedings of the 2013 International Conference on Cloud and Service Computing, 2013

2012

A Comparative Study of absent Features and Unobserved Values in Software Effort Data.

Wen Zhang, Ye Yang, Qing Wang

Int. J. Softw. Eng. Knowl. Eng., 2012

DRETOM: developer recommendation based on topic models for bug resolution.

Xihao Xie, Wen Zhang, Ye Yang, Qing Wang

Proceedings of the 8th International Conference on Predictive Models in Software Engineering, 2012

Towards evidence-based ontology for supporting Systematic Literature Review.

Yueming Sun, Ye Yang, He Zhang, Wen Zhang, Qing Wang

Proceedings of the 16th International Conference on Evaluation & Assessment in Software Engineering, 2012

2011

A comparative study of TF*IDF, LSI and multi-words for text classification.

Wen Zhang, Taketoshi Yoshida, Xijin Tang

Expert Syst. Appl., 2011

Handling missing data in software effort prediction with naive Bayes and EM algorithm.

Wen Zhang, Ye Yang, Qing Wang

Proceedings of the 7th International Conference on Predictive Models in Software Engineering, 2011

Network analysis of OSS evolution: an empirical study on ArgoUML project.

Wen Zhang, Ye Yang, Qing Wang

Proceedings of the 12th International Workshop on Principles of Software Evolution and the 7th annual ERCIM Workshop on Software Evolution, 2011

A Study on Software Effort Prediction Using Machine Learning Techniques.

Wen Zhang, Ye Yang, Qing Wang

Proceedings of the Evaluation of Novel Approaches to Software Engineering, 2011

On the Predictability of Software Efforts using Machine Learning Techniques.

Wen Zhang, Ye Yang, Qing Wang

Proceedings of the ENASE 2011, 2011

DREX: Developer Recommendation with K-Nearest-Neighbor Search and Expertise Ranking.

Wenjin Wu, Wen Zhang, Ye Yang, Qing Wang

Proceedings of the 18th Asia Pacific Software Engineering Conference, 2011

2010

Text clustering using frequent itemsets.

Wen Zhang, Taketoshi Yoshida, Xijin Tang, Qing Wang

Knowl. Based Syst., 2010

Absent features or missing values?

Wen Zhang, Ye Yang, Qing Wang

Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010

Data Unpredictability in Software Defect-Fixing Effort Prediction.

Zhimin He, Fengdi Shu, Ye Yang, Wen Zhang, Qing Wang

Proceedings of the 10th International Conference on Quality Software, 2010

Measuring the heterogeneity of cross-company dataset.

Jia Chen, Ye Yang, Wen Zhang, Gregory Gay

Proceedings of the 11th International Conference on Product Focused Software, 2010

EXPRE: a repository for managing software data and experience.

Dandan Wang, Wen Zhang, Jia Chen, Ye Yang, Qing Wang

Proceedings of the International Symposium on Empirical Software Engineering and Measurement, 2010

2009

Distribution of Multi-Words in Chinese and English Documents.

Wen Zhang, Taketoshi Yoshida, Xijin Tang

Int. J. Inf. Technol. Decis. Mak., 2009

Improving effectiveness of mutual information for substantival multiword expression extraction.

Wen Zhang, Taketoshi Yoshida, Xijin Tang, Tu Bao Ho

Expert Syst. Appl., 2009

Using ontology to improve precision of terminology extraction from documents.

Wen Zhang, Taketoshi Yoshida, Xijin Tang

Expert Syst. Appl., 2009

Text Classification Using Semi-supervised Clustering.

Wen Zhang, Taketoshi Yoshida, Xijin Tang

Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009

2008

Augmented Analytical Exploitation of a Scientific Forum.

Xijin Tang, Yijun Liu, Wen Zhang

Proceedings of the Communications and Discoveries from Multidisciplinary Data, 2008

Text classification based on multi-word with support vector machine.

Wen Zhang, Taketoshi Yoshida, Xijin Tang

Knowl. Based Syst., 2008

TFIDF, LSI and multi-word in information retrieval and text categorization.

Wen Zhang, Taketoshi Yoshida, Xijin Tang

Proceedings of the IEEE International Conference on Systems, 2008

A Study on Multi-word Extraction from Chinese Documents.

Wen Zhang, Taketoshi Yoshida, Xijin Tang

Proceedings of the Advanced Web and NetworkTechnologies, and Applications, 2008

2007

Text classification using multi-word features.

Wen Zhang, Taketoshi Yoshida, Xijin Tang

Proceedings of the IEEE International Conference on Systems, 2007

Text Classification with Support Vector Machine and Back Propagation Neural Network.

Wen Zhang, Xijin Tang, Taketoshi Yoshida

Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

2005

Computerized Support for Idea Generation During Knowledge Creating Process.

Xijin Tang, Yijun Liu, Wen Zhang

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005