Wen Zhang

68 papers A 4B 3C 2Misc 1Journal 40Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
SparseFraudNet: A Graph-based Approach for Cold-start Fraud Detection with Information Aggregation.
ACM Trans. Inf. Syst.
Wen Zhang, Rui Li, Quan Bai, Song Wang
2025 J jnl
AttResRec: Learning User Credibility for Attack Resistant Matrix Factorization Recommendation.
IEEE Trans. Serv. Comput.
Jiangpeng Zhao, Wen Zhang, Song Wang, Quan Bai, Kuien Liu
2025 J jnl
Cross-project defect prediction based on autoencoder with dynamic adversarial adaptation.
Appl. Intell.
Wen Zhang, Jiangpeng Zhao, Guangjie Qin, Song Wang
2025 J jnl
ExGAT: Context extended graph attention neural network.
Neural Networks
Pei Quan, Lei Zheng, Wen Zhang, Yang Xiao, Lingfeng Niu, Yong Shi
2025 J jnl
GMM Enhanced Anchor-Based Spectral Clustering for Large-Scale Data.
IEEE Trans. Neural Networks Learn. Syst.
Wen Zhang, Jiangpeng Zhao, Lean Yu, Song Wang
2025 J jnl
Predicting the number of COVID-19 imported cases based on cross-modal transformer: A case study in China.
Expert Syst. Appl.
Wen Zhang, Rui Xie, Jian Li, Liang Wang, Xiang Li, Peng Peng
2025 J jnl
Product return prediction in live streaming e-commerce with cross-modal contrastive transformer.
Decis. Support Syst.
Wen Zhang, Rui Xie, Pei Quan, Zhenzhong Ma
2024 J jnl
Lightweight Deep Learning for Missing Data Imputation in Wastewater Treatment With Variational Residual Auto-Encoder.
IEEE Internet Things J.
Wen Zhang, Rui Li, Pei Quan, Jiang Chang, Yongsheng Bai, Bojun Su
2023 J jnl
Benefits or harms? The effect of online review manipulation on sales.
Electron. Commer. Res. Appl.
Qiang Wang, Wen Zhang, Jian Li, Zhenzhong Ma, Jindong Chen
2023 J jnl
Miss-gradient boosting regression tree: a novel approach to imputing water treatment data.
Appl. Intell.
Wen Zhang, Rui Li, Jiangpeng Zhao, Jiawei Wang, Xiaoyu Meng, Qun Li
2023 J jnl
Prediction of influent wastewater quality based on wavelet transform and residual LSTM.
Appl. Soft Comput.
Wen Zhang, Jiangpeng Zhao, Pei Quan, Jiawei Wang, Xiaoyu Meng, Qun Li
2023 J jnl
SusRec: An Approach to Sustainable Developer Recommendation for Bug Resolution Using Multimodal Ensemble Learning.
IEEE Trans. Reliab.
Wen Zhang, Jiangpeng Zhao, Rui Peng, Song Wang, Ye Yang
2022 — conf
A comparative study on the effect of data imbalance on software defect prediction.
ITQM
Yanbin Liu, Wen Zhang, Guangjie Qin, Jiangpeng Zhao
2022 J jnl
A novel approach for fraudulent reviewer detection based on weighted topic modelling and nearest neighbors with asymmetric Kullback-Leibler divergence.
Decis. Support Syst.
Wen Zhang, Rui Xie, Qiang Wang, Ye Yang, Jian Li
2022 J jnl
Effect of online review sentiment on product sales: The moderating role of review credibility perception.
Comput. Hum. Behav.
Qiang Wang, Wen Zhang, Jian Li, Feng Mai, Zhenzhong Ma
2022 J jnl
TCP-BAST: A novel approach to traffic congestion prediction with bilateral alternation on spatiality and temporality.
Inf. Sci.
Wen Zhang, Shaoshan Yan, Jian Li
2021 J jnl
A 2020 perspective on "DeRec: A data-driven approach to accurate recommendation with deep learning and weighted loss function".
Electron. Commer. Res. Appl.
Wen Zhang, Qiang Wang, Ye Yang, Taketoshi Yoshida
2021 — conf
Handling Imbalance in Fraudulent Reviewer Detection based on Expectation Maximization and KL Divergence.
WI/IAT (Workshop/Special Session)
Wen Zhang, Guangjie Qin, Qiang Wang
2021 J jnl
RP-LGMC: Rating prediction based on local and global information with matrix clustering.
Comput. Oper. Res.
Wen Zhang, Qiang Wang, Taketoshi Yoshida, Jian Li
2021 — conf
SusTriage: Sustainable Bug Triage with Multi-modal Ensemble Learning.
WI/IAT (Workshop/Special Session)
Wen Zhang, Jiangpeng Zhao, Song Wang
2020 J jnl
A Two-Stage Rating Prediction Approach Based on Matrix Clustering on Implicit Information.
IEEE Trans. Comput. Soc. Syst.
Wen Zhang, Xiang Li, Jian Li, Ye Yang, Taketoshi Yoshida
2019 J jnl
BBS Posts Time Series Analysis based on Sample Entropy and Deep Neural Networks.
Entropy
Jindong Chen, Yuxuan Du, Linlin Liu, Pinyi Zhang, Wen Zhang
2019 J jnl
DeepRec: A deep neural network approach to recommendation with item embedding and weighted loss function.
Inf. Sci.
Wen Zhang, Yuhang Du, Taketoshi Yoshida, Ye Yang
2019 J jnl
Feature weighted confidence to incorporate prior knowledge into support vector machines for classification.
Knowl. Inf. Syst.
Wen Zhang, Lean Yu, Taketoshi Yoshida, Qing Wang
2019 J jnl
FineLocator: A novel approach to method-level fine-grained bug localization by query expansion.
Inf. Softw. Technol.
Wen Zhang, Ziqiang Li, Qing Wang, Juan Li
2018 J jnl
DRI-RCNN: An approach to deceptive review identification using recurrent convolutional neural network.
Inf. Process. Manag.
Wen Zhang, Yuhang Du, Taketoshi Yoshida, Qing Wang
2018 J jnl
DeRec: A data-driven approach to accurate recommendation with deep learning and weighted loss function.
Electron. Commer. Res. Appl.
Wen Zhang, Yuhang Du, Ye Yang, Taketoshi Yoshida
2018 J jnl
SamEn-SVR: using sample entropy and support vector regression for bug number prediction.
IET Softw.
Wen Zhang, Yuhang Du, Taketoshi Yoshida, Qing Wang, Xiangjun Li
2017 J jnl
En-LDA: An Novel Approach to Automatic Bug Report Assignment with Entropy Optimized Latent Dirichlet Allocation.
Entropy
Wen Zhang, Yangbo Cui, Taketoshi Yoshida
2016 J jnl
CoFea: A Novel Approach to Spam Review Identification Based on Entropy and Co-Training.
Entropy
Wen Zhang, Chaoqi Bu, Taketoshi Yoshida, Siguang Zhang
2016 J jnl
CoSpa: A Co-training Approach for Spam Review Identification with Support Vector Machine.
Inf.
Wen Zhang, Chaoqi Bu, Taketoshi Yoshida, Siguang Zhang
2016 J jnl
KSAP: An approach to bug report assignment using KNN search and heterogeneous proximity.
Inf. Softw. Technol.
Wen Zhang, Song Wang, Qing Wang
2016 J jnl
Towards Evidence-Based Ontology for Supporting Systematic Literature Review.
CoRR
Yueming Sun, Ye Yang, He Zhang, Wen Zhang, Qing Wang
2016 J jnl
Using SVD on Clusters to Improve Precision of Interdocument Similarity Measure.
Comput. Intell. Neurosci.
Wen Zhang, Fan Xiao, Bin Li, Siguang Zhang
2015 — ch.
HIPRank: Ranking Nodes by Influence Propagation Based on Authority and Hub.
Smart Modeling and Simulation for Complex Systems
Wen Zhang, Song Wang, Guangle Han, Ye Yang, Qing Wang
2015 J jnl
TESC: An approach to TExt classification using Semi-supervised Clustering.
Knowl. Based Syst.
Wen Zhang, Xijin Tang, Taketoshi Yoshida
2015 J jnl
Using Bayesian regression and EM algorithm with missing handling for software effort prediction.
Inf. Softw. Technol.
Wen Zhang, Ye Yang, Qing Wang
2014 — conf
BUTTER: An Approach to Bug Triage with Topic Modeling and Heterogeneous Network Analysis.
CCBD
Wen Zhang, Guangle Han, Qing Wang
2014 A conf
FixerCache: unsupervised caching active developers for diverse bug triage.
ESEM
Song Wang, Wen Zhang, Qing Wang
2014 — conf
LSG: A Unified Multi-dimensional Latent Semantic Graph for Personal Information Retrieval.
WAIM
Huangfu Yang, Kuien Liu, Wen Zhang, Peng Zhou, Yanjun Wu, Qing Wang, Jia Zhu
2013 A conf
DevNet: Exploring Developer Collaboration in Heterogeneous Networks of Bug Repositories.
ESEM
Song Wang, Wen Zhang, Ye Yang, Qing Wang
2013 — conf
Heterogeneous Network Analysis of Developer Contribution in Bug Repositories.
CSC
Wen Zhang, Song Wang, Ye Yang, Qing Wang
2012 J jnl
A Comparative Study of absent Features and Unobserved Values in Software Effort Data.
Int. J. Softw. Eng. Knowl. Eng.
Wen Zhang, Ye Yang, Qing Wang
2012 — conf
DRETOM: developer recommendation based on topic models for bug resolution.
PROMISE
Xihao Xie, Wen Zhang, Ye Yang, Qing Wang
2012 A conf
Towards evidence-based ontology for supporting Systematic Literature Review.
EASE
Yueming Sun, Ye Yang, He Zhang, Wen Zhang, Qing Wang
2011 — conf
A Study on Software Effort Prediction Using Machine Learning Techniques.
ENASE (Selected Papers)
Wen Zhang, Ye Yang, Qing Wang
2011 J jnl
A comparative study of TF*IDF, LSI and multi-words for text classification.
Expert Syst. Appl.
Wen Zhang, Taketoshi Yoshida, Xijin Tang
2011 C conf
DREX: Developer Recommendation with K-Nearest-Neighbor Search and Expertise Ranking.
APSEC
Wenjin Wu, Wen Zhang, Ye Yang, Qing Wang
2011 — conf
Handling missing data in software effort prediction with naive Bayes and EM algorithm.
PROMISE
Wen Zhang, Ye Yang, Qing Wang
2011 — conf
Network analysis of OSS evolution: an empirical study on ArgoUML project.
EVOL/IWPSE
Wen Zhang, Ye Yang, Qing Wang
2011 B conf
On the Predictability of Software Efforts using Machine Learning Techniques.
ENASE
Wen Zhang, Ye Yang, Qing Wang
2010 C conf
Absent features or missing values?
SEKE
Wen Zhang, Ye Yang, Qing Wang
2010 — conf
Data Unpredictability in Software Defect-Fixing Effort Prediction.
QSIC
Zhimin He, Fengdi Shu, Ye Yang, Wen Zhang, Qing Wang
2010 A conf
EXPRE: a repository for managing software data and experience.
ESEM
Dandan Wang, Wen Zhang, Jia Chen, Ye Yang, Qing Wang
2010 — conf
Measuring the heterogeneity of cross-company dataset.
PROFES (2)
Jia Chen, Ye Yang, Wen Zhang, Gregory Gay
2010 J jnl
Text clustering using frequent itemsets.
Knowl. Based Syst.
Wen Zhang, Taketoshi Yoshida, Xijin Tang, Qing Wang
2009 J jnl
Distribution of Multi-Words in Chinese and English Documents.
Int. J. Inf. Technol. Decis. Mak.
Wen Zhang, Taketoshi Yoshida, Xijin Tang
2009 J jnl
Improving effectiveness of mutual information for substantival multiword expression extraction.
Expert Syst. Appl.
Wen Zhang, Taketoshi Yoshida, Xijin Tang, Tu Bao Ho
2009 — conf
Text Classification Using Semi-supervised Clustering.
BIFE
Wen Zhang, Taketoshi Yoshida, Xijin Tang
2009 J jnl
Using ontology to improve precision of terminology extraction from documents.
Expert Syst. Appl.
Wen Zhang, Taketoshi Yoshida, Xijin Tang
2008 — conf
A Study on Multi-word Extraction from Chinese Documents.
APWeb Workshops
Wen Zhang, Taketoshi Yoshida, Xijin Tang
2008 — ch.
A Study on Web Clustering with Respect to XiangShan Science Conference.
Communications and Discoveries from Multidisciplinary Data
Wen Zhang, Xijin Tang
2008 — ch.
Augmented Analytical Exploitation of a Scientific Forum.
Communications and Discoveries from Multidisciplinary Data
Xijin Tang, Yijun Liu, Wen Zhang
2008 B conf
TFIDF, LSI and multi-word in information retrieval and text categorization.
SMC
Wen Zhang, Taketoshi Yoshida, Xijin Tang
2008 J jnl
Text classification based on multi-word with support vector machine.
Knowl. Based Syst.
Wen Zhang, Taketoshi Yoshida, Xijin Tang
2007 Misc conf
Text Classification with Support Vector Machine and Back Propagation Neural Network.
International Conference on Computational Science (4)
Wen Zhang, Xijin Tang, Taketoshi Yoshida
2007 B conf
Text classification using multi-word features.
SMC
Wen Zhang, Taketoshi Yoshida, Xijin Tang
2005 — conf
Computerized Support for Idea Generation During Knowledge Creating Process.
KES (4)
Xijin Tang, Yijun Liu, Wen Zhang