威尼斯(中国·金沙)欢乐娱人城-BinG百科 NO.1-1

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张文平

张文平，男，副教授，硕士生导师。
金沙威尼斯欢乐娱人城青年杰出学者。2015年获得香港城市大学商学院博士学位。主要从事商业分析、大数据、隐私保护，区块链、可解释AI、计量经济学等方向研究。在INFORMS Journal on Computing, Production and Operations Management,Journal of Management Information Systems, Decision Support Systems, Internet Research, Electronic Commerce Research and Applications, Safety Science，Intelligent Systems等信息系统，运作管理，运筹学等顶级权威期刊， ICIS，ECIS，PACIS等顶级会议发表文章20余篇。担任Journal of Global Information Management (SSCI) 副主编（AE），
Web Intelligence：An International Journal 编委（Editorial Board）。

电子邮箱：wpzhang@ruc.edu.cn

教育经历

2011年6月-2015年5月香港城市大学，商学院，哲学博士（知识管理，信息系统）
2005年9月-2009年7月中国科学技术大学，金沙威尼斯欢乐娱人城，工程学士（信息安全）

工作经历

•2021.8-今副教授,金沙威尼斯欢乐娱人城，金沙威尼斯欢乐娱人城
•2016.9-2021.7 讲师,金沙威尼斯欢乐娱人城，金沙威尼斯欢乐娱人城
•2015.9-2016.8 博士后研究员，信息系统学系，香港城市大学
•2015.6-2015.8 助理研究员，信息系统学系，香港城市大学
•2010.4-2011.5 助理研究员，信息系统学系，香港城市大学
•2009.10-2010.3 助理研究员，计算学系，香港理工大学

研究方向

文本挖掘，观点挖掘与情感分析

机器学习，主题模型

大数据分析，商业数据分析

分层贝叶斯模型，计量经济学

大数据与隐私保护

可解释AI及其在商业分析中的应用

网络内容治理

讲授课程

商业数据分析

大数据与隐私保护

金融技术与实践

信息系统理论

大数据金融

大数据与人工智能

大数据商业分析

流量为王时代的困境-标题党的功与过

科研项目

•国家自然科学基金委员会, 面上项目，72271235，标题党多维度分析、影响力及作用机制研究。2023-01-01-2026-12-31，44万元，在研，主持

•金沙威尼斯欢乐娱人城校内项目，网络媒体中的标题党检测及其影响研究，21XNA035，2021.01-2023.12，12万，结项，主持

•国家自然科学基金青年项目，基于动态商业网络的企业创新能力研究，71801217， 2019.01-2021.12，18万元，结项，主持

•金沙威尼斯欢乐娱人城校内项目，2018030125，技术驱动的新媒体企业组织和服务变革：基于传播理论、创新理论和大数据的视角，2018.01-2019.12，20万，结项，主持

•金沙威尼斯欢乐娱人城校内项目，2017030005，基于动态分层狄利克雷过程的多层次商业网络挖掘，2017.01-2019.12，10万，结项，主持

•金沙威尼斯欢乐娱人城校内项目，581517006221，基于决策理论的医院可靠性评估，2017.01-2018.12，6万，结项，主持

•北京市科技计划类脑专项，Z171100000117009，基于数据和知识驱动的反馈式深度学习技术研究，2017-2018，300万，结项，参加

•国家自然科学基金面上项目，71771212，基于深度学习的驾驶行为分析与车辆保险智能定价模型研究，2018.1-2021.12，47万，结项，参加

•国家自然科学基金面上项目，71671155，基于大数据分析框架的在线信用评级关键技术研究，2017.01-2020.12，47.9万，结项，参加

•深圳市战略新兴产业发展专项资金项目，JCYJ20130401145617281，“情境中多层次方面的观点挖掘技术研究”，2013-2015，10万，结项，参加

•深圳市战略新兴产业发展专项资金项目，JCYJ20140419115614350，“大数据评论中基于典型性评论挖掘技术的研究及应用”，2014-2016，10万，结项，参加

科研成果

主要期刊论文（Selected Journal Paper）

•Wang, X., Huang, T., Zhang, W., Zeng, Q., and Liu, Z. (2024) Is information normalization helpful in online communication? Evidence from online healthcare consultation. （Forthcoming, 通讯作者，IF 6.773,学校A）

•Zhang, J., Jiang, Q., Zhang, W., Kang, L., Lowry, P. B., & Zhang, X. (2023). Explaining the Outcomes of Social Gamification: A Longitudinal Field Experiment. Journal of Management Information Systems (JMIS)，40(2), 401-439. (通讯作者，国际顶级期刊，信息系统领域国际TOP3, FT50，ABS 4分，JCR一区,ABDC List A* Journal，IF:7.838,人大国际A)

•Liu, Z., Xu, W., Zhang, W., & Jiang, Q. (2023). An emotion-based personalized music recommendation framework for emotion improvement. Information Processing & Management, 60(3), 103256. (通讯作者，JCR一区, IF: 7.466, 学校A-)

•Mengxi Zhou, Wei Xu, Wenping Zhang, Qiqi Jiang: Leverage knowledge graph and GCN for fine-grained-level clickbait detection. World Wide Web 25(3): 1243-1258 (2022) (通讯作者，IF: 3.0, 学校A-)

•Yang, Z., Zhang, W., & Feng, J. (2022). Predicting multiple types of traffic accident severity with explanations: A multi-task deep learning framework. Safety Science, 146, 105522.（通讯作者， IF 4.877, 学校A）

•Zhang, W., Wei, C. P., Jiang, Q., Peng, C. H., & Zhao, J. L. (2021). Beyond the block: A novel blockchain-based technical model for long-term care insurance. Journal of Management Information Systems, 38(2), 374-400.(国际顶级期刊，信息系统领域国际TOP3, FT50，ABS 4分，JCR一区,ABDC List A* Journal，IF:7.838,人大国际A).

Du, W., Yan, Q., Zhang, W., & Ma, J. (2021). Leveraging online behaviors for interpretable knowledge-aware patent recommendation. Internet Research.（通讯作者，IF 6.773,学校A）

•Zhang, W., Du, W., Bian, Y., Peng, C., &Jiang Q. (2020). Seeing is not always believing: an exploratory study of clickbait in WeChat. Internet Research. 30(3): 1043-1058.（IF 6.773,学校A）

•Wang, Y., Xu, W., Zhang, W., & Zhao, J. L. (2020). SafeDrive: A New Model for Driving Risk Analysis Based on Crash Avoidance. IEEE Transactions on Intelligent Transportation Systems.(通讯作者，IF 6.492, 学校A-)

•Zhang, W., Kang, L., Jiang, Q., & Pei, L. (2020). A 2020 perspective on “From buzz to bucks: The impact of social media opinions on the locus of innovation”: From Surfaces to Essences. Electronic Commerce Research and Applications. Volume 40. S1567422320300417.

•Tao, X., Pham, T., Zhang, J., Yong, J., Goh, W. P., Zhang, W., & Cai, Y. (2020). Mining health knowledge graph for health risk prediction. World Wide Web, 1-22.

•Lau, R. Y. K., Zhang, W., & Xu, W. (2018). Parallel aspect‐oriented sentiment analysis for sales forecasting with big data. Production and Operations Management, 27(10), 1775-1794. (共同一作，国际顶级期刊，运作管理领域国际TOP 4, UTD24,FT50, 人大国际A)

•Zhang, W., Kang, L., Jiang, Q., & Pei, L. (2018). From buzz to bucks: the impact of social media opinions on the locus of innovation. Electronic Commerce Research and Applications.

•Goh, W. P., Tao, X., Zhang, J., Yong, J., Zhang, W., & Xie, H. (2018). Drug prescription support in dental clinics through drug corpus mining. International Journal of Data Science and Analytics, 6(4), 341-349.

•Lau, R. Y., Zhao, J. L., Zhang, W., Cai, Y., & Ngai, E. W. (2015). Learning Context-Sensitive Domain Ontologies from Folksonomies: A Cognitively Motivated Method. INFORMS Journal on Computing, 27(3), 561-578. (国际顶级期刊，运筹学TOP4，UTD24，人大国际A)

•Zhao, J., Lau, R. Y., Zhang, W., Zhang, K., Chen, X., & Tang, D. (2016). Extracting and reasoning about implicit behavioral evidences for detecting fraudulent online transactions in e-Commerce. Decision Support Systems, 86, 109-121

•Zhang, W., Li, C., Ye, Y., Li, W., & Ngai, E. W. (2015). Dynamic Business Network Analysis for Correlated Stock Price Movement Prediction. Intelligent Systems, IEEE, 30(2), 26-33. (SCI, Impact factor 2015: 3.532)

•Lau, R.Y.K. and Zhang, W. (2010). “Non-Monotonic Modeling for Personalized Services Retrieval and Selection,” International Journal of Systems and Service-Oriented Engineering, 1(2):55-68.

主要会议论文(Selected Conference Paper)

•Xuan Wang, Tao Huang, Xin Sun, Wenping Zhang, What kind of doctor looks more popular? A multi-dimensional study on online healthcare consultation, 2023, Pacific Asia Conference on Information Systems.

•Wenping Zhang, Hui Yuan, Wei Xu, Raymond Y. K. Lau. 2019. Hospital Reliability Evaluation in Chinese Context: A Study from the Decision Theory Perspective. ICIS.（信息系统排名第一国际会议）

•Zhang, W., Jiang, Q., & Peng, C. (2019). UNFOLDING THE CLICKBAIT: A SIREN’S CALL IN THE ATTENTION ECONOMY. In The 27th European Conference on Information Systems (ECIS) 2019. European Conference on Information Systems.（信息系统领域顶会）

•Zhang, W., Kang, L., Jiang, Q., & Bian, Y. (2018). MORE THAN THE TONE: THE IMPACT OF SOCIAL MEDIA OPINIONS ON INNOVATION INVESTMENTS. In The 26th European Conference on Information Systems (ECIS) 2018. European Conference on Information Systems.（信息系统领域顶会）

•Zhang, W., Xu, M., & Jiang, Q. (2018, July). Opinion Mining and Sentiment Analysis in Social Media: Challenges and Applications. In International Conference on HCI in Business, Government, and Organizations (pp. 536-548). Springer, Cham.

•Zhang, W., Lau, R.Y.K., and Li., C. 2014. “Adaptive Big Data Analytics for Deceptive Review Detection in Online Social Media,” Proceedings of the 35rd International Conference on Information Systems , Completed Research Paper. （信息系统排名第一国际会议）

•Zhang, W., Lau, R.Y.K. 2013. “The Design of a Network-based Model for Business Performance Prediction,” Proceedings of the 34rd International Conference on Information Systems, Completed Research Paper. （信息系统排名第一国际会议）

•Zhang, W., Lau, R.Y.K., Liao, S.S., Kwok, R.C.W. 2012. “A Probabilistic Generative Model for Latent Business Networks Mining”. Proceedings of the 33rd International Conference on Information Systems, Completed Research Paper. （信息系统排名第一国际会议）

•Zhang, W., Lau, R.Y.K., Xia, Y., Li, C., and Li. W.M. 2012. “Latent Business Networks Mining: A Probabilistic Generative Model,” Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence.

•Song, L., Zhang, W., Lau, R.Y.K., Liao, S., and Kwok, W. R.C. “A Critical Analysis of the State-of-the-art On Automated Detection of Deceptive Behavior in Social Media,” PACIS 2012 Proceedings. Paper 168.

•Zhang, W., Yi, C., Lau, R.Y.K., Liao, S.S, and Kwok, C.W.R. \\\\\\\\\\\\\\\"Semi-Supervised Text Mining For Dynamic Business Network Discovery,\\\\\\\\\\\\\\\" PACIS 2012 Proceedings. Paper 138.

•Lau, R.Y.K., Zhang, W., Bruza, P.D., and Wong, K.F. “Learning Domain-specific Sentiment Lexicons for Predicting Product Sales,” In Proceedings of the 2011 IEEE International Conference on e-Business Engineering, pages 131-138, Beijing, China, October 19-21 2011. IEEE Press.

•Lau, R.Y.K., Zhang, W., and Tao, X. “Automatic Construction of Domain-specific Sentiment Lexicon for Context-Sensitive Opinion Retrieval,” Proceedings of the 4th IEEE International Conference on Computer Science and Information Technology, pp 296-300, 10/6/2011 - 12/6/2011.

社会兼职

编委

Journal of Global Information Management (SSCI), Associate Editor

Web Intelligence, Editorial Board

Natural Language Processing Journal, Editorial Board

Journal of Global Information Management，Special Issue Leader Guest Editor (2023)

Decision Support Systems, Special Issue Guest Associate Editor (2023)

同行评审

Information Systems Research (ISR)

Management Information Systems Quarterly (MISQ)

Journal of Management Information Systems (JMIS)

Informs Journal on Computing (JOC)

Production and Operations Management (POM)

Decision Support System (DSS)

Information & Management

International Conference on Information Systems

Pacific Asia Conference on Information Systems

荣誉获奖

•2023年金沙威尼斯欢乐娱人城军训优秀个人

•2022年金沙威尼斯欢乐娱人城标兵班主任

•2021年金沙威尼斯欢乐娱人城优秀科研成果奖

•2019年金沙威尼斯欢乐娱人城优秀本科毕业论文指导老师

•2017年金沙威尼斯欢乐娱人城青年杰出学者