Computerized Support for Idea Generation During Knowledge Creating Process. - Xijin Tang 001; Yijun Liu; Wen Zhang 001 (KES (4), 2005)

Text Classification with Support Vector Machine and Back Propagation Neural Network. - Wen Zhang 001; Xijin Tang 001; Taketoshi Yoshida (International Conference on Computational Science (4), 2007)

Text classification using multi-word features. - Wen Zhang 001; Taketoshi Yoshida; Xijin Tang 001 (SMC, 2007)

A Study on Multi-word Extraction from Chinese Documents. - Wen Zhang 001; Taketoshi Yoshida; Xijin Tang 001 (APWeb Workshops, 2008)

TFIDF, LSI and multi-word in information retrieval and text categorization. - Wen Zhang 001; Taketoshi Yoshida; Xijin Tang 001 (SMC, 2008)

Text classification based on multi-word with support vector machine. - Wen Zhang 001; Taketoshi Yoshida; Xijin Tang 001 (Knowl. Based Syst., 2008)

Augmented Analytical Exploitation of a Scientific Forum. - Xijin Tang 001; Yijun Liu; Wen Zhang 001 (Communications and Discoveries from Multidisciplinary Data, 2008)

A Study on Web Clustering with Respect to XiangShan Science Conference. - Wen Zhang 001; Xijin Tang 001 (Communications and Discoveries from Multidisciplinary Data, 2008)

Text Classification Using Semi-supervised Clustering. - Wen Zhang 001; Taketoshi Yoshida; Xijin Tang 001 (BIFE, 2009)

Using ontology to improve precision of terminology extraction from documents. - Wen Zhang 001; Taketoshi Yoshida; Xijin Tang 001 (Expert Syst. Appl., 2009)

Improving effectiveness of mutual information for substantival multiword expression extraction. - Wen Zhang 001; Taketoshi Yoshida; Xijin Tang 001; Tu Bao Ho (Expert Syst. Appl., 2009)

Distribution of Multi-Words in Chinese and English Documents. - Wen Zhang 001; Taketoshi Yoshida; Xijin Tang 001 (Int. J. Inf. Technol. Decis. Mak., 2009)

EXPRE: a repository for managing software data and experience. - Dandan Wang; Wen Zhang 001; Jia Chen; Ye Yang; Qing Wang 001 (ESEM, 2010)

Measuring the heterogeneity of cross-company dataset. - Jia Chen; Ye Yang; Wen Zhang 001; Gregory Gay 002 (PROFES (2), 2010)

Data Unpredictability in Software Defect-Fixing Effort Prediction. - Zhimin He; Fengdi Shu; Ye Yang; Wen Zhang 001; Qing Wang 001 (QSIC, 2010)

Absent features or missing values? - Wen Zhang 001; Ye Yang; Qing Wang 001 (SEKE, 2010)

Text clustering using frequent itemsets. - Wen Zhang 001; Taketoshi Yoshida; Xijin Tang 001; Qing Wang 001 (Knowl. Based Syst., 2010)

DREX: Developer Recommendation with K-Nearest-Neighbor Search and Expertise Ranking. - Wenjin Wu; Wen Zhang 001; Ye Yang; Qing Wang 001 (APSEC, 2011)

On the Predictability of Software Efforts using Machine Learning Techniques. - Wen Zhang 001; Ye Yang; Qing Wang 001 (ENASE, 2011)

A Study on Software Effort Prediction Using Machine Learning Techniques. - Wen Zhang 001; Ye Yang; Qing Wang 001 (ENASE (Selected Papers), 2011)

Network analysis of OSS evolution: an empirical study on ArgoUML project. - Wen Zhang 001; Ye Yang; Qing Wang 001 (EVOL/IWPSE, 2011)

Handling missing data in software effort prediction with naive Bayes and EM algorithm. - Wen Zhang 001; Ye Yang; Qing Wang 001 (PROMISE, 2011)

A comparative study of TF*IDF, LSI and multi-words for text classification. - Wen Zhang 001; Taketoshi Yoshida; Xijin Tang 001 (Expert Syst. Appl., 2011)

Towards evidence-based ontology for supporting Systematic Literature Review. - Yueming Sun 001; Ye Yang; He Zhang 001; Wen Zhang 001; Qing Wang 001 (EASE, 2012)

DRETOM: developer recommendation based on topic models for bug resolution. - Xihao Xie; Wen Zhang 001; Ye Yang; Qing Wang 001 (PROMISE, 2012)

A Comparative Study of absent Features and Unobserved Values in Software Effort Data. - Wen Zhang 001; Ye Yang; Qing Wang 001 (Int. J. Softw. Eng. Knowl. Eng., 2012)

Heterogeneous Network Analysis of Developer Contribution in Bug Repositories. - Wen Zhang 001; Song Wang 009; Ye Yang; Qing Wang 001 (CSC, 2013)

DevNet: Exploring Developer Collaboration in Heterogeneous Networks of Bug Repositories. - Song Wang 009; Wen Zhang 001; Ye Yang; Qing Wang 001 (ESEM, 2013)

BUTTER: An Approach to Bug Triage with Topic Modeling and Heterogeneous Network Analysis. - Wen Zhang 001; Guangle Han; Qing Wang 001 (CCBD, 2014)

FixerCache: unsupervised caching active developers for diverse bug triage. - Song Wang 009; Wen Zhang 001; Qing Wang 001 (ESEM, 2014)

LSG: A Unified Multi-dimensional Latent Semantic Graph for Personal Information Retrieval. - Huangfu Yang; Kuien Liu; Wen Zhang 001; Peng Zhou; Yanjun Wu; Qing Wang 001; Jia Zhu 003 (WAIM, 2014)

Using Bayesian regression and EM algorithm with missing handling for software effort prediction. - Wen Zhang 001; Ye Yang; Qing Wang 001 (Inf. Softw. Technol., 2015)

TESC: An approach to TExt classification using Semi-supervised Clustering. - Wen Zhang 001; Xijin Tang 001; Taketoshi Yoshida (Knowl. Based Syst., 2015)

HIPRank: Ranking Nodes by Influence Propagation Based on Authority and Hub. - Wen Zhang 001; Song Wang 009; Guangle Han; Ye Yang; Qing Wang 001 (Smart Modeling and Simulation for Complex Systems, 2015)

Using SVD on Clusters to Improve Precision of Interdocument Similarity Measure. - Wen Zhang 001; Fan Xiao; Bin Li; Siguang Zhang (Comput. Intell. Neurosci., 2016)

CoFea: A Novel Approach to Spam Review Identification Based on Entropy and Co-Training. - Wen Zhang 001; Chaoqi Bu; Taketoshi Yoshida; Siguang Zhang (Entropy, 2016)

CoSpa: A Co-training Approach for Spam Review Identification with Support Vector Machine. - Wen Zhang 001; Chaoqi Bu; Taketoshi Yoshida; Siguang Zhang (Inf., 2016)

KSAP: An approach to bug report assignment using KNN search and heterogeneous proximity. - Wen Zhang 001; Song Wang 009; Qing Wang 001 (Inf. Softw. Technol., 2016)

En-LDA: An Novel Approach to Automatic Bug Report Assignment with Entropy Optimized Latent Dirichlet Allocation. - Wen Zhang 001; Yangbo Cui; Taketoshi Yoshida (Entropy, 2017)

DeRec: A data-driven approach to accurate recommendation with deep learning and weighted loss function. - Wen Zhang 001; Yuhang Du; Ye Yang; Taketoshi Yoshida (Electron. Commer. Res. Appl., 2018)

SamEn-SVR: using sample entropy and support vector regression for bug number prediction. - Wen Zhang 001; Yuhang Du; Taketoshi Yoshida; Qing Wang 001; Xiangjun Li (IET Softw., 2018)

DRI-RCNN: An approach to deceptive review identification using recurrent convolutional neural network. - Wen Zhang 001; Yuhang Du; Taketoshi Yoshida; Qing Wang 001 (Inf. Process. Manag., 2018)

BBS Posts Time Series Analysis based on Sample Entropy and Deep Neural Networks. - Jindong Chen; Yuxuan Du; Linlin Liu; Pinyi Zhang; Wen Zhang 001 (Entropy, 2019)

FineLocator: A novel approach to method-level fine-grained bug localization by query expansion. - Wen Zhang 001; Ziqiang Li; Qing Wang 001; Juan Li 001 (Inf. Softw. Technol., 2019)

DeepRec: A deep neural network approach to recommendation with item embedding and weighted loss function. - Wen Zhang 001; Yuhang Du; Taketoshi Yoshida; Ye Yang (Inf. Sci., 2019)

Feature weighted confidence to incorporate prior knowledge into support vector machines for classification. - Wen Zhang 001; Lean Yu; Taketoshi Yoshida; Qing Wang 001 (Knowl. Inf. Syst., 2019)

A Two-Stage Rating Prediction Approach Based on Matrix Clustering on Implicit Information. - Wen Zhang 001; Xiang Li 006; Jian Li; Ye Yang; Taketoshi Yoshida (IEEE Trans. Comput. Soc. Syst., 2020)

Handling Imbalance in Fraudulent Reviewer Detection based on Expectation Maximization and KL Divergence. - Wen Zhang 001; Guangjie Qin; Qiang Wang 030 (WI/IAT (Workshop/Special Session), 2021)

SusTriage: Sustainable Bug Triage with Multi-modal Ensemble Learning. - Wen Zhang 001; Jiangpeng Zhao; Song Wang 009 (WI/IAT (Workshop/Special Session), 2021)

RP-LGMC: Rating prediction based on local and global information with matrix clustering. - Wen Zhang 001; Qiang Wang 030; Taketoshi Yoshida; Jian Li (Comput. Oper. Res., 2021)

A 2020 perspective on "DeRec: A data-driven approach to accurate recommendation with deep learning and weighted loss function". - Wen Zhang 001; Qiang Wang 030; Ye Yang; Taketoshi Yoshida (Electron. Commer. Res. Appl., 2021)

A comparative study on the effect of data imbalance on software defect prediction. - Yanbin Liu; Wen Zhang 001; Guangjie Qin; Jiangpeng Zhao (ITQM, 2022)

Effect of online review sentiment on product sales: The moderating role of review credibility perception. - Qiang Wang 030; Wen Zhang 001; Jian Li; Feng Mai; Zhenzhong Ma (Comput. Hum. Behav., 2022)

A novel approach for fraudulent reviewer detection based on weighted topic modelling and nearest neighbors with asymmetric Kullback-Leibler divergence. - Wen Zhang 001; Rui Xie; Qiang Wang 030; Ye Yang; Jian Li (Decis. Support Syst., 2022)

TCP-BAST: A novel approach to traffic congestion prediction with bilateral alternation on spatiality and temporality. - Wen Zhang 001; Shaoshan Yan; Jian Li (Inf. Sci., 2022)

Benefits or harms? The effect of online review manipulation on sales. - Qiang Wang 030; Wen Zhang 001; Jian Li; Zhenzhong Ma; Jindong Chen (Electron. Commer. Res. Appl., 2023)

SusRec: An Approach to Sustainable Developer Recommendation for Bug Resolution Using Multimodal Ensemble Learning. - Wen Zhang 001; Jiangpeng Zhao; Rui Peng 001; Song Wang 009; Ye Yang (IEEE Trans. Reliab., 2023)

Prediction of influent wastewater quality based on wavelet transform and residual LSTM. - Wen Zhang 001; Jiangpeng Zhao; Pei Quan; Jiawei Wang; Xiaoyu Meng; Qun Li (Appl. Soft Comput., 2023)

Lightweight Deep Learning for Missing Data Imputation in Wastewater Treatment With Variational Residual Auto-Encoder. - Wen Zhang 001; Rui Li; Pei Quan; Jiang Chang; Yongsheng Bai; Bojun Su (IEEE Internet Things J., 2024)

Product return prediction in live streaming e-commerce with cross-modal contrastive transformer. - Wen Zhang 001; Rui Xie; Pei Quan; Zhenzhong Ma (Decis. Support Syst., 2025)

Predicting the number of COVID-19 imported cases based on cross-modal transformer: A case study in China. - Wen Zhang 001; Rui Xie; Jian Li; Liang Wang 014; Xiang Li 006; Peng Peng (Expert Syst. Appl., 2025)

ExGAT: Context extended graph attention neural network. - Pei Quan; Lei Zheng; Wen Zhang 001; Yang Xiao 017; Lingfeng Niu; Yong Shi 001 (Neural Networks, 2025)