Curriculum Vitae
Update in July 2023 (PDF)
Education
- Ph.D. in Information & Decision Sciences, Carlson School of Management, University of Minnesota, MN, U.S.
- Degree conferred: July 2023
- M.S. in Computer Science, University of Minnesota, MN, U.S.
- Degree conferred: July 2015
- B.S. in Economics, Peking University, Beijing, China
- Degree conferred: July 2013
- M.E. in Electronic Engineering, Tsinghua University, Beijing, China
- Degree conferred: June 2012
- B.E. in Information Engineering, Southeast University, Nanjing, China
- Degree conferred: June 2009
Research Interests
- Economics of Social Media Manipulation
- Methods: Analytical modeling (game theory)
- Role of IT and AI on FinTech Markets
Teaching Interests
- Business Analytics: undergraduate/MSBA level
- Descriptive analytics, predictive analytics, and causal analytics
- MIS courses: MBA level
- Strategic and managerial issues in IT/analytics topics
- Seminar courses: Doctoral level
- Economics of IS: conceptual topics and research methods
Papers Under Review
- Zihong Huang, De Liu. Economics of Social Media Fake Accounts. Major revision at Management Science. PDF SSRN
Working Papers & Work-in-Progress Projects
- Zihong Huang, Xuan Bi, and De Liu. AI-empowered Venture Capital (VC): The Impact of AI Adoption on VC Firms’ Success.(Working paper)
- Zihong Huang, De Liu, and Alok Gupta. Budget Induced Strategic Bidding in Multiunit Online Auctions. (Working paper)
- Zihong Huang, De Liu. Economics of Politically Motivated Fake Accounts. (Model building)
Publications
Jason Chan, Zihong Huang, De Liu, Zhigang Cai (2023) Better to Give Than to Receive: Impact of Adding a Donation Scheme to Reward-Based Crowdfunding Campaigns. Information Systems Research, https://doi.org/10.1287/isre.2023.1224
Chen, Liang, Zihong Huang, and De Liu. "Pure and hybrid crowds in crowdfunding markets." Financial Innovation 2.1 (2016): 19.
Zhao, Qian, Zihong Huang, F. Maxwell F. Harper, Loren G. Terveen, and Joseph A. Konstan. "Precision CrowdSourcing: Closing the Loop to Turn Information Consumers into Information Contributors." In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, pp. 1613-1623. ACM, 2016.
Teaching Experience
- Instructor at University of Minnesota
- IDSC 4444: Descriptive and Predictive Analytics
- Fall 2021 (in-person): 5.31/6
- Fall 2020 (online): 4.89/6
- Teaching Assistant at University of Minnesota
- MABA 6441: Causal Inference via Econometrics and Experimentation (Spring 2021)
- MSBA 6430: Advanced Issues in Business Analytics (Spring 2019)
- MSBA 6410: Exploratory Data Analytics and Visualization (Fall 2019)
- IDSC 6041: Information Technology Management (Spring 2023)
- IDSC 6050: Information Technologies and Solutions (Fall 2018)
- IDSC 4444: Descriptive and Predictive Analytics (Fall 2018, 2022; Spring 2020, 2021, 2022, 2023)
- IDSC 4210: Interactive Data Visualization for Business Analytics (Spring 2020)
Industry Experience
- FinTech Industry, 2015-2018
- Product manager and FinTech Researcher
Professional Service
- Reviewer, Management Science (MS)
- Reviewer, Information Systems Research (ISR)
- Reviewer, Production and Operations Management (POM)
- Reviewer, International Conference on Information Systems (ICIS), 2019,2021,2022,2023
- Reviewer, Hawaii International Conference on System Sciences (HICSS), 2023
Technical Skills
Mathematica, R, Python, Stata, Matlab, SQL