张柱 - 北京理工大学 - 管理与经济学院

个人简介

张柱，工学博士，现任北京理工大学管理与经济学院副研究员。已在《MIS Quarterly》（UTD24、FT50期刊）、《INFORMS Journal on Computing》（UTD24期刊）、《Journal of Management Information Systems》（FT50期刊）、《Information & Management》、《管理科学》等国内外重要学术期刊与会议上发表20余篇论文，其中包括10余篇SCI检索的论文。承担了科技部重大项目课题、中科院C类先导科技专项等10余项国家级和省部级项目。现担任中国指挥与控制学会大数据科学与工程专委会委员，曾担任JOC、I&M、KBS、ACM TMIS、KAIS、IEEE IS等10余个国际知名期刊审稿人，以及WITS、CSWIM、IEEE ISI、ICSH等多个国际知名会议的程序委员会成员。教育经历 2010.10 – 2015.1 博士计算机应用技术中国科学院自动化研究所（导师：曾大军研究员） 2008.9 – 2010.10 硕士（硕博连读）控制理论与控制工程中国科学院自动化研究所 2004.9 – 2008.6 本科自动化浙江大学工作经历 2022.7 – 至今副研究员北京理工大学，管理与经济学院 2018.12 – 2022.4 助理研究员、副研究员中国科学院自动化研究所，复杂系统管理与控制国家重点实验室 2015.10 – 2018.11 博士后 University of Arizona，Department of Management Information Systems 奖励与荣誉中国科学院大学三好学生，2014年中国科学院自动化研究所攀登奖学金二等奖，2013年

研究领域

人工智能与信息管理的交叉研究、数据科学、商务智能、社会计算、决策智能等

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Xuan Wei, Zhu Zhang*（并列通讯作者）, 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. （管理信息系统top 1期刊，UTD 24期刊） Zhu Zhang#, Xuan Wei#（并列一作）, 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.（信息系统顶级期刊，UTD 24期刊） Jiaheng Xie*#, Zhu Zhang#（并列一作）, 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. (信息系统顶级期刊，FT 50期刊；SCI Q1区，IF: 3.949) Zhu Zhang#, Xuan Wei#（并列一作）,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.（信息系统一流期刊，ABDC期刊A*类，ABS 3；SCI排名5/87） Wanting Wen*#, Zhu Zhang#（并列一作）, 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. (SCI Q1区，IF: 5.034，排名2/27；国际信息系统协会 SIG Health推荐top 3) Yongcheng Zhan*#, Zhu Zhang#（并列一作）, 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. (SCI Q1区，IF: 5.034，排名2/27；国际信息系统协会SIG Health推荐top 3) 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. (信息系统一流期刊，ABDC期刊 A类；SCI Q1 区，IF：5.921) 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. (SCI Q1区，IF: 5.034，排名2/27；国际信息系统协会 SIG Health推荐top 3) 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. (SCI Q2区，IF: 2.740) 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. (信息系统权威期刊，FMS B类) Jiaheng Xie*, Zhu Zhang, Xiao Liu, and Daniel Zeng, “Discovering Barriers to Opioid Addiction Treatment from Social Media: A Similarity Network-Based Deep Learning Approach,” Proceedings of the 2019 International Conference on Information Systems (ICIS), Munich, Germany, Dec. 2019. （信息系统顶级会议，EI） Xuan Wei, Zhu Zhang*, Minyue Zhang, and Daniel Dajun Zeng, “Distilling the Wisdom of Crowds for False News Detection in Social Media,” INFORMS 11th Conference on Information Systems & Technology (CIST 2019). (信息系统重要会议) Zhu Zhang, Daniel Dajun Zeng*, Ahmed Abbasi, and Jing Peng, “A Random Walk Model for Item Recommendation in Folksonomies,” Proceedings of 21th Workshop on Information Technologies and Systems, Shanghai, 2011. (信息系统重要会议，EI) 曾大军, 张柱, 梁嘉琦, 等, 2022. 机器行为与人机协同决策理论和方法[J]. 管理科学, 34(6): 55-59.

学术兼职

学术组织兼职中国指挥与控制学会大数据科学与工程专业委员会，委员中国人工智能学会自然语言理解专业委员会，高级会员人工智能技术与管理应用研究会，会员 IFAC Technical Committee on Economic, Business, and Financial Systems，成员期刊审稿人 INFORMS Journal on Computing Journal of Medical Internet Research Information and Management IEEE Intelligent Systems Electronic Commerce Research and Applications Social Network Analysis and Mining Information Technology and Management Frontiers of Computer Science ACM Transactions on Management Information Systems PLOS ONE Knowledge and Information Systems IEEE Transactions on Computational Social Systems