Zhu Zhang
Zhu Zhang is an associate professor at the School of Management and Economics, Beijing Institute of Technology. He received his B.S. degree in automation from Zhejiang University in 2008 and his Ph.D. degree in computer science from the Institute of Automation, Chinese Academy of Sciences in 2015. His current research interests include hybrid intelligence, data mining, and business analytics. He has published more than 20 articles in major conferences and journals such as MIS Quarterly, INFORMS Journal on Computing, Journal of Management Information Systems, Journal of Medical Internet Research, ACM Transactions on Management Information Systems, etc.
Contact Information
Email：zhu.zhang@bit.edu.cn
Telephone：010-81381067
Address：NO. 413, Wencui Building L, Beijing Institute of Technology (Liangxiang Campus), Fangshan District, Beijing
Research Interest
Cross-research between AI and information management, data science, business intelligence, social computing, and decision intelligence
Education
2010.10 – 2015.1 |
Ph.D. |
Computer applied technology |
Institute of Automation, Chinese Academy of Sciences |
2008.9 – 2010.10 |
Control theory and engineering |
Institute of Automation, Chinese Academy of Sciences |
|
2004.9 – 2008.6 |
Bachelor |
Automation |
Zhejiang University |
Employment
2022.7 – now |
Associate professor |
School of Management and Economics, Beijing Institute of Technology |
2018.12 – 2022.4 |
Assistant professor, associate professor |
Institute of Automation, Chinese Academy of Sciences |
2015.10 – 2018.11 |
Postdoctoral fellow |
Department of Management Information Systems, University of Arizona |
Selected Publication (https://www.scholarmate.com/P/zhang_zhu)
1. Xuan Wei, Zhu Zhang*, Mingyue Zhang*, Weiyun Chen, and Daniel Dajun Zeng, “Combining Crowd and Machine Intelligence to Detect False News on Social Media,” MIS Quarterly, vol. 46, no. 2, pp. 977–1008, 2022, doi: 10.25300/MISQ/2022/16256.
2. Zhu Zhang#, Xuan Wei#, Xiaolong Zheng*, Qiudan Li, and Daniel Dajun Zeng, “Detecting Product Adoption Intentions via Multi-View Deep Learning,” INFORMS Journal on Computing, vol. 34, no. 1, pp. 541–556, Jan. 2022, doi: 10.1287/ijoc.2021.1083.
3. Jiaheng Xie*#, Zhu Zhang#, Xiao Liu, Daniel Zeng, “Unveiling the Hidden Truth of Drug Addiction: A Social Media Approach Using Similarity Network-Based Deep Learning,” Journal of Management Information Systems, vol. 38, no. 1, pp. 166–195, Jan. 2021.
4. Zhu Zhang#, Xuan Wei#, Xiaolong Zheng*, and Daniel Dajun Zeng, “Predicting Product Adoption Intention: An Integrated Behavioral Model-Inspired Multi-View Learning Approach”, Information & Management, vol. 58, no. 7, Art. no. 7, Nov. 2021.
5. Wanting Wen*#, Zhu Zhang#, Ziqiang Li, Jiaqi Liang, Yongcheng Zhan, Daniel Dajun Zeng, Scott J. Leischow, “Public Reactions to the Cigarette Control Regulation on a Chinese Microblogging Platform: Empirical Analysis,” Journal of Medical Internet Research, vol. 22, no. 4, p. e14660, 2020.
6. Yongcheng Zhan*#, Zhu Zhang#, Janet. M. Okamoto, Daniel Dajun Zeng, and Scott J. Leischow, “Underage JUUL Use Patterns: Content Analysis of Reddit Messages,” Journal of Medical Internet Research, vol. 21, no. 9, p. 13038, Sep. 2019.
7. Zhu Zhang, Xialong Zheng*, and Daniel Dajun Zeng, “A framework for diversifying recommendation lists by user interest expansion,” Knowledge-Based Systems, vol. 105, pp. 83–95, Spring 2016.
8. Zhu Zhang, Xialong Zheng*, Daniel Dajun Zeng, and Scott J. Leischow, “Tracking Dabbing Using Search Query Surveillance: A Case Study in the United States,” Journal of Medical Internet Research, vol. 18, no. 9, p. e252, 2016.
9. Zhu Zhang, Xialong Zheng*, Daniel Dajun Zeng, and Scott J. Leischow, “Information seeking regarding tobacco and lung cancer: effects of seasonality,” PLOS ONE, vol. 10, no. 3, p. e0117938, 2015.
10. Zhu Zhang, Daniel Dajun Zeng*, Ahmed Abbasi, Jing Peng, and Xialong Zheng, “A Random Walk Model for Item Recommendation in Social Tagging Systems,” ACM Transactions on Management Information Systems, vol. 4, no. 2, pp. 8:1–8:24, 2013.
Review Service
· INFORMS Journal on Computing · Information and Management · Electronic Commerce Research and Applications · Information Technology and Management · ACM Transactions on Management Information Systems · Knowledge and Information Systems |
· Journal of Medical Internet Research · IEEE Intelligent Systems · Social Network Analysis and Mining · Frontiers of Computer Science · PLOS ONE · IEEE Transactions on Computational Social Systems |
Conference Service
· International Conference on Information Systems (ICIS), reviewer, 2021
· China Summer Workshop on Information Management (CSWIM), PC member, 2021, 2019
· IEEE ISI World Cup (AI-enabled Analytics), Co-Chair, 2019
· International Conference on Information Systems (ICIS), PC member, 2018
· International Conference for Smart Health (ICSH), PC member, PC member, 2017, 2015, 2014
· International Conference on Intelligence and Security Informatics (ISI), 2017, 2013
· Workshop on Information Technologies and Systems (WITS), PC member, 2014
· IEEE Joint Intelligence and Security Informatics Conference (JISIC), PC member, 2014
· European Intelligence and Security Informatics Conference (EISIC), PC member, 2013
· International Health Informatics Conference (IHIC), PC member, 2013
