张 文1981.01
Email：zhangwen@bjut.edu.cn
地址：北京工业大学经济管理学院A207
工作经验：
2018.03-至今北京工业大学经济与管理学院教授，博导
2014.06-至今北京化工大学经济管理学院教授，博导
2011.12-2014.05中国科学院软件研究所 副研究员，硕导
2009. 5-2011.11中国科学院软件研究所助理研究员
研究方向：
大数据管理，数据挖掘，互联网舆情分析
研究项目（主持）：
1.国家自然科学基金面上项目（2014.1-2017.12），“基于群体记忆的开源软件缺陷预测、诊断和定位研究（61379046）”，负责人(73万)。
2.国家青年科学基金项目(2012.1-2014.12)，“基于网络潜在群体的开源软件缺陷解决研究（71101138）”，负责人（20万）。
3.北京市自然科学基金面上项目(2012.1-2014.6)。“基于主题追踪与情感分析的互联网舆情监测研究（4122087）”，负责人（11万）。
4.教育部留学归国科研启动基金项目(2010.3-2013.3)，“基于经验库挖掘的软件质量预测研究”，负责人（3万）。
5.国家自然科学基金重点项目（2015.1-2018.12），“软件生命期数据组织、分析及应用研究（61432001）”，子课题负责人（10万）。
6.武汉大学软件工程国家重点实验室开放课题(2013.01-2014.12)，“基于软件过程可信的代码变更推荐研究”，课题负责人(2万)。
发表论文
期刊论文：
1.W. Zhang, Y. Du, T. Yoshida, Q. Wang: DRI-RCNN: An Approach to Deceptive Review Identification using Recurrent Convolutional Neural Network. Information Processing & Management, 54(4): 576-592, (2018). (SCI, IF=2.391)
2.W. Zhang, L. Yu, T. Yoshida, Q. Wang: Feature Weighted Confidence to Incorporate Prior Knowledge with Support Vector Machines for Classification. Knowledge and Information Systems, Accepted, (2018). (SCI, IF=2.001) https://doi.org/10.1007/s10115-018-1165-2
3.W. Zhang, L. Yu, T. Yoshida, Q. Wang, X. Li: SamEn-SVR: Using Sample Entropy and Support Vector Regression for Bug Number Prediction, IET Software,Accepted, (2018). (SCI, IF=0.733) 10.1049/iet-sen.2017.0168
4.W. Zhang, Y. Cui, T. Yoshida: En-LDA: An Novel Approach to Automatic Bug Report Assignment with Entropy Optimized Latent Dirichlet Allocation. Entropy 19(5): 173 (2017) (SCI, IF=1.821)
5.W. Zhang, C. Bu, T. Yoshida, S. Zhang: CoFea: A Novel Approach to Spam Review Identification Based on Entropy and Co-Training. Entropy 18(12): 429 (2016) (SCI, IF=1.473)
6.W. Zhang, F. Xiao and S. Zhang: Using SVD on clusters to Improve Precision of Inter-document Similarity Measure, Computational Intelligence and Neuroscience, 2016(17), 2016. (SCI, IF=0.481)
7.W. Zhang, S. Wang, Q. Wang: BAHA: A Novel Approach to Automatic Bug Report Assignment with Topic Modeling and Heterogeneous Network Analysis, Chinese Journal of Electronics, 25(6):1011-1018, 2016. (SCI, IF=0.319)
8.W. Zhang, S. Wang, Q. Wang: KSAP: An approach to bug report assignment using KNN search and heterogeneous proximity, Information and Software Technology, 70: 68-84,2016. (Elsevier, SCI, IF=1.046)
9.W. Zhang, Y. Yang, Q. Wang: Using Bayesian regression and EM algorithm with missing handling for software effort prediction, Information and Software Technology, 58: 58-70, 2015. (Elsevier, SCI, IF=1.569)
10.W. Zhang, X. Tang, T. Yoshida: TESC: An approach to TExt classification using Semi-supervised Clustering, Knowledge-Based Systems, 75: 152-160, 2015. (Elsevier, SCI, IF=3.325,他引5次)
11.W. Zhang, Y. Yang, Q. Wang: A Comparative Study of absent Features and Unobserved Values in Software Effort Data. International Journal of Software Engineering and Knowledge Engineering 22(2): 185-202, 2012. (World Scientific, SCI, IF=0.295)
12.W. Zhang, T. Yoshida, X. J. Tang.: A comparative study of TF*IDF, LSI and multi-words for text classification. Expert Systems with Applications, 38(3), 2758-2765, 2011. (Elsevier, SCI, IF=2.203,他引4次)
13.W. Zhang, T. Yoshida, X. J. Tang, Q. Wang.：Text Clustering Using Frequent Itemsets， Knowledge-based Systems, 23(5), 379-388, 2010. (Elsevier, SCI, IF=1.574, 他引25次)
14.W. Zhang, T. Yoshida, X. J. Tang: Using Ontology to Improve Precision of Terminology Extraction from Documents, Expert Systems with Applications, 36(5), 9333-9339, 2009.( (Elsevier, SCI, IF=2.908,他引11次)
15.W. Zhang, T. Yoshida, X. J. Tang:Improving effectiveness of mutual information for substantival multiword expression extraction. Expert Systems with Applications, 36(8), 10919-10930, 2009. (Elsevier, SCI, IF=2.908,他引3次)
16.W. Zhang, T. Yoshida, X. J. Tang: Text classification based on multi-word with support vector machine, Knowledge-based Systems, 21 (8), Dec. 2008, pp. 879-886. (Elsevier, SCI, IF=0.924,他引46次)
17.W. Zhang, T. Yoshida, X. J. Tang: Distribution of multi-words in Chinese and English Documents, International Journal of Information Technology and Decision Making, 8(1), 249-265, 2009. (World Scientific, SCI, IF=1.312,他引4次)
18.W. Zhang, T. Yoshida, X. J. Tang, T. B. Ho: Augmented Mutual Information for Multi-word Extraction, International Journal of Innovative Computing, Information and Control, 5(2), 543-554, 2008. (SCI)
19.W. Zhang, T. Yoshida, X. J. Tang: Text classification toward a Scientific Forum, Journal of Systems Science and Systems Engineering, 16(3), 356-379, 2007. (Springer, SCI, EI)
20.W. Zhang, C. Bu, T. Yoshida, S. Zhang: CoSpa: A Co-training Approach for Spam Review Identification with Support Vector Machine. Information 7(1):12 · March 2016. (EI)
21.张文,杜宇航,李自强,陈进东.:DeepOpinion：一种互联网舆情深度分析与引导系统，北京化工大学学报，已接收，(2018), CSCD.
22.张文, 李自强, 杜宇航, 杨叶.: MethodLocator:一种方法级别的细粒度软件缺陷定位方法, 软件学报，已接收，（2018）（EI）
23.张文,姜袆盼, 殷广达, 余乐安.: 基于朴素贝叶斯和EM算法的软件工作量缺失数据处理方法, 系统工程理论与实践，37 (11): 2965-2974(2017) (EI)
24.张文,唐锡晋, 吉田武稔.:AIS-基于文本挖掘的增强型Web信息处理技术，系统工程理论与实践，30(1), 96-104 (2010).(EI)
25.张文,唐锡晋：一种基于Web内容挖掘的信息支持工具, 管理评论, 18(9), 21-26 (2006). (CSSCI, 中文核心期刊)
26.张文，崔杨波，姜祎盼，陈进东：基于SVMK-Means的非均衡P2P网贷风险预测研究，系统科学与数学，录用待发表，2018.(CSCD)
国际会议论文：
1.W. Zhang, G. Han, Q. Wang: BUTTER: An Approach to Bug Triage with Topic Modeling and Heterogeneous Network Analysis. CCBD 2014: 62-69
2.Y. Huangfu, K. Liu, W. Zhang, P. Zhou, Y. Wu, Q. Wang, J. Zhu: LSG: A Unified Multi-dimensional Latent Semantic Graph for Personal Information Retrieval. WAIM 2014: 540-552.
3.S. Wang,W. Zhang, Q. Wang: FixerCache: unsupervised caching active developers for diverse bug triage. ESEM 2014: 25:1-25:10
4.S. Wang,W. Zhang, Y. Yang, Q. Wang: DevNet: Exploring Developer Collaboration in Heterogeneous Networks of Bug Repositories. In Proceedings of the 7th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2013.
5.X. Xie,W. Zhang, Y. Yang, Qing Wang: DRETOM: developer recommendation based on topic models for bug resolution. In Proceedings of the 8th International Conference on Predictive Models in Software Engineering (PROMISE 2012), 19-28, September 11-17, 2012, Lund, Sweden.
6.W. Zhang, Y. Yang, Q. Wang: An Empirical Study on Identifying Core Developers using Network Analysis. In Proceedings of the 2nd International Workshop on Evidential Assessment of Software Technologies (EAST 2012), 43-48, September 11-17, 2012, Lund, Sweden.
7.W. Zhang, Y. Yang and Q. Wang.: Handling missing data in software effort prediction with naive Bayes and EM, In Proceedings of the 7th International Conference on Predictive Models in Software Engineering (PROMISE 2011), 2011. (EI)
8.W. Zhang, Y. Yang and Q. Wang.: Network Analysis of OSS Evolution: An Empirical Study on ArgoUML Project. In Proceedings of the 12th International Workshop on Principles of Software Evolution and the 7th annual ERCIM Workshop on Software Evolution (EVOL/IWPSE 2011), 71-80, 2011.(EI)
9.W. Zhang, Y. Yang and Q. Wang.: On the Predictability of Software Efforts using Machine Learning Techniques. In Proceedings of the 6th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2011), 5-14, 2011. (Best Paper Award)
10.W. Wu,W. Zhang, Y. Yang and Q. Wang.: DREX: Developer Recommendation with K-Nearest-Neighbor Search and Expertise Ranking. In Proceedings of the Eighteenth Asia-Pacific Software Engineering Conference (APSEC 2011),389-396, 2011.
11.W. Zhang, Y. Yang, Q. Wang and F. Shu.: An Empirical Study on Classification of Non-Functional Requirements. In Proceedings of the 23rd International Conference on Software Engineering & Knowledge Engineering (SEKE 2011), 81-87, 2010.
12.W. Zhang, Y. Yang and Q. Wang: Absent Features or Missing Values, In Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), 6-11, 2010.
13.D. Wang,W. Zhang, J. Chen, Y. Yang and Q. Wang: EXPRE: a repository for managing software data and experience.InProceedings of the International Symposium on Empirical Software Engineering and Measurement (ESEM 2010), 2010.
14.W. Wu,W. Zhang, Y. Yang and Q. Wang.: Time series analysis for bug number prediction. In Proceedings of 2nd International Conference on Software Engineering and Data Mining (SEDM 2010), 589 – 596, 2010.
15.W. Zhang,T. YoshidaandX. Tang: Text Classification Using Semi-supervised Clustering. Proceedings of the Second International Conference on Business Intelligence and Financial Engineering (BIFE 2009), 197-200, 2009.
16.W. Zhang, T. Yoshida, X. J. Tang: Improving Precision of Inter-document Similarity Measure by SVD on clusters, Proceedings of The Twenty-second International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE-2009), LNAI, 2009. (EI)
17.W. Zhang, X. J. Tang, T. Yoshida: A Comparison of SVD, SVR, ADE and IRR for Latent Semantic Indexing, Proceedings of the 20th International Conference on Multiple Criteria Decision Making, (2009). (EI)
18.W. Zhang, T. Yoshida, X. J. Tang: Text Classification with Support Vector Machine and Back Propagation Neural Network, Proceedings of The 2007 International Conference on Computational Science (ICCS 2007), LNCS 4490, 150-157, 2007.
19.X. J. Tang, Y. J. Liu,W. Zhang: Computerized Support for Idea Generation during Knowledge Creating Process. In: Khosla, R. J. Howlett, and L. C. Jain (eds.): Knowledge-Based Intelligent Information & Engineering Systems (proceedings of KES’2005, Part IV), LNAI, 3684, 437-443. (SCI)
国内会议：
1.张 文,唐锡晋: 知识发现与求知模式, 第8届全国青年管理科学与系统科学学术会议, 2005年5月21-22日，优秀论文，南京.
发明专利：
1.张 文，吴文金，杨叶，王青：一种软件缺陷报告修复方法. 中华人民共和国国家知识产权局. 专利号：201110209093.
2.张 文，谢锡浩，杨叶，王青：一种缺陷跟踪系统的软件缺陷报告自动分发方法. 中国, 中华人民共和国国家产权局. 专利号：201310092736.1.
3.张 文，杨叶，王青：一种新增软件工作量的预测方法.中华人民共和国国家知识产权局. 专利号：2011100838941.
