Wen Zhang

Orcid: 0000-0002-6216-2262

Affiliations:
  • Beijing University of Chemical Technology, Research Center on Data Sciences, China
  • Chinese Academy of Sciences, Institute of Software, Laboratory for Internet Software Technologies, Beijing, China (former)
  • Japan Advanced Institute of Science and Technology, School of Knowledge Science, Tatsunokuchi, Japan (former)


According to our database1, Wen Zhang authored at least 52 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
SusRec: An Approach to Sustainable Developer Recommendation for Bug Resolution Using Multimodal Ensemble Learning.
IEEE Trans. Reliab., March, 2023

2022
TCP-BAST: A novel approach to traffic congestion prediction with bilateral alternation on spatiality and temporality.
Inf. Sci., 2022

A novel approach for fraudulent reviewer detection based on weighted topic modelling and nearest neighbors with asymmetric Kullback-Leibler divergence.
Decis. Support Syst., 2022

Effect of online review sentiment on product sales: The moderating role of review credibility perception.
Comput. Hum. Behav., 2022

A comparative study on the effect of data imbalance on software defect prediction.
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".
Electron. Commer. Res. Appl., 2021

RP-LGMC: Rating prediction based on local and global information with matrix clustering.
Comput. Oper. Res., 2021

Handling Imbalance in Fraudulent Reviewer Detection based on Expectation Maximization and KL Divergence.
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.
IEEE Trans. Comput. Soc. Syst., 2020

2019
Feature weighted confidence to incorporate prior knowledge into support vector machines for classification.
Knowl. Inf. Syst., 2019

DeepRec: A deep neural network approach to recommendation with item embedding and weighted loss function.
Inf. Sci., 2019

FineLocator: A novel approach to method-level fine-grained bug localization by query expansion.
Inf. Softw. Technol., 2019

BBS Posts Time Series Analysis based on Sample Entropy and Deep Neural Networks.
Entropy, 2019

2018
DRI-RCNN: An approach to deceptive review identification using recurrent convolutional neural network.
Inf. Process. Manag., 2018

SamEn-SVR: using sample entropy and support vector regression for bug number prediction.
IET Softw., 2018

DeRec: A data-driven approach to accurate recommendation with deep learning and weighted loss function.
Electron. Commer. Res. Appl., 2018

2017
En-LDA: An Novel Approach to Automatic Bug Report Assignment with Entropy Optimized Latent Dirichlet Allocation.
Entropy, 2017

2016
KSAP: An approach to bug report assignment using KNN search and heterogeneous proximity.
Inf. Softw. Technol., 2016

CoSpa: A Co-training Approach for Spam Review Identification with Support Vector Machine.
Inf., 2016

CoFea: A Novel Approach to Spam Review Identification Based on Entropy and Co-Training.
Entropy, 2016

Using SVD on Clusters to Improve Precision of Interdocument Similarity Measure.
Comput. Intell. Neurosci., 2016

2015
HIPRank: Ranking Nodes by Influence Propagation Based on Authority and Hub.
Proceedings of the Smart Modeling and Simulation for Complex Systems - Practice and Theory, 2015

TESC: An approach to TExt classification using Semi-supervised Clustering.
Knowl. Based Syst., 2015

Using Bayesian regression and EM algorithm with missing handling for software effort prediction.
Inf. Softw. Technol., 2015

2014
LSG: A Unified Multi-dimensional Latent Semantic Graph for Personal Information Retrieval.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

FixerCache: unsupervised caching active developers for diverse bug triage.
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.
Proceedings of the International Conference on Cloud Computing and Big Data, 2014

2013
DevNet: Exploring Developer Collaboration in Heterogeneous Networks of Bug Repositories.
Proceedings of the 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2013

Heterogeneous Network Analysis of Developer Contribution in Bug Repositories.
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.
Int. J. Softw. Eng. Knowl. Eng., 2012

DRETOM: developer recommendation based on topic models for bug resolution.
Proceedings of the 8th International Conference on Predictive Models in Software Engineering, 2012

Towards evidence-based ontology for supporting Systematic Literature Review.
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.
Expert Syst. Appl., 2011

Handling missing data in software effort prediction with naive Bayes and EM algorithm.
Proceedings of the 7th International Conference on Predictive Models in Software Engineering, 2011

Network analysis of OSS evolution: an empirical study on ArgoUML project.
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.
Proceedings of the Evaluation of Novel Approaches to Software Engineering, 2011

On the Predictability of Software Efforts using Machine Learning Techniques.
Proceedings of the ENASE 2011, 2011

DREX: Developer Recommendation with K-Nearest-Neighbor Search and Expertise Ranking.
Proceedings of the 18th Asia Pacific Software Engineering Conference, 2011

2010
Text clustering using frequent itemsets.
Knowl. Based Syst., 2010

Absent features or missing values?
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.
Proceedings of the 10th International Conference on Quality Software, 2010

Measuring the heterogeneity of cross-company dataset.
Proceedings of the 11th International Conference on Product Focused Software, 2010

EXPRE: a repository for managing software data and experience.
Proceedings of the International Symposium on Empirical Software Engineering and Measurement, 2010

2009
Distribution of Multi-Words in Chinese and English Documents.
Int. J. Inf. Technol. Decis. Mak., 2009

Improving effectiveness of mutual information for substantival multiword expression extraction.
Expert Syst. Appl., 2009

Using ontology to improve precision of terminology extraction from documents.
Expert Syst. Appl., 2009

Text Classification Using Semi-supervised Clustering.
Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009

2008
Text classification based on multi-word with support vector machine.
Knowl. Based Syst., 2008

TFIDF, LSI and multi-word in information retrieval and text categorization.
Proceedings of the IEEE International Conference on Systems, 2008

A Study on Multi-word Extraction from Chinese Documents.
Proceedings of the Advanced Web and NetworkTechnologies, and Applications, 2008

2007
Text classification using multi-word features.
Proceedings of the IEEE International Conference on Systems, 2007

Text Classification with Support Vector Machine and Back Propagation Neural Network.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007


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