Huimin Zhao

University of Wisconsin - Milwaukee - Sheldon B. Lubar School of Business

Assistant Professor

P.O. Box 742

3202 N. Maryland Ave.

Milwaukee, WI 53201-0742

United States

  • University of Wisconsin - Milwaukee - Sheldon B. Lubar School of Business

SCHOLARLY PAPERS

6

DOWNLOADS
Rank 36,335

SSRN RANKINGS

Top 36,335

in Total Papers Downloads

2,412

SSRN CITATIONS
Rank 41,590

SSRN RANKINGS

Top 41,590

in Total Papers Citations

18

CROSSREF CITATIONS

2

Scholarly Papers (6)

Actions:
Email selected abstracts
1.

The Interaction between Microblog Sentiment and Stock Return: An Empirical Examination

MIS quarterly 42(3): 895-918.
Number of pages: 67 Posted: 18 Oct 2017 Last Revised: 16 Sep 2018
Shuyuan Deng, Zhijian (James) Huang, Atish P Sinha and Huimin Zhao
ContextLogic, Inc., Rochester Institute of Technology (RIT) - Department of Accounting and Finance, University of Wisconsin - Milwaukee - Sheldon B. Lubar School of Business and University of Wisconsin - Milwaukee - Sheldon B. Lubar School of Business
Downloads 1,692 (18,364)
Citation 2

Abstract:

Loading...

social media, microblog, stock return, vector autoregression, big data, sentiment analysis

2.

A Clustering Based Approach for Facilitating Semantic Web Service Discovery

15th Annual Workshop on Information Technolgies & Systems (WITS) Paper
Number of pages: 6 Posted: 02 Apr 2006
Sudha Ram, Yousub Hwang and Huimin Zhao
University of Arizona - Department of Management Information Systems, University of Arizona and University of Wisconsin - Milwaukee - Sheldon B. Lubar School of Business
Downloads 446 (112,963)
Citation 5

Abstract:

Loading...

Web Service, Self-organizing map, Clustering method, Service Discovery

3.

Joint Item-Tag Recommendation Framework for Collaborative Filtering in Social Tagging Systems

Number of pages: 41 Posted: 08 Jul 2011
Jing Peng, Daniel D. Zeng, Huimin Zhao and Fei-Yue Wang
University of Connecticut - Department of Operations & Information Management, University of Arizona - Department of Management Information Systems, University of Wisconsin - Milwaukee - Sheldon B. Lubar School of Business and Chinese Academy of Sciences - Institute of Automation
Downloads 113 (414,252)

Abstract:

Loading...

Collaborative filtering, social tagging, tagging structure, joint item-tag recommendation, design science

4.

Harvesting the Tagging Power: An Approach to Social Recommendation of Information Products

Number of pages: 31 Posted: 19 Jan 2012
Jing Peng, Daniel D. Zeng, Huimin Zhao and Bing Liu
University of Connecticut - Department of Operations & Information Management, University of Arizona - Department of Management Information Systems, University of Wisconsin - Milwaukee - Sheldon B. Lubar School of Business and University of Illinois at Chicago
Downloads 89 (487,161)

Abstract:

Loading...

social tagging, collaborative filtering, social recommendation, information discovery, knowledge management, sparsity, positive unlabeled learning

5.

CFUI: Collaborative Filtering with Unlabeled Items

Proceedings of 20th Workshop on Information Technologies and Systems, 2010
Number of pages: 6 Posted: 22 Nov 2010
Jing Peng, Daniel D. Zeng, Bing Liu and Huimin Zhao
University of Connecticut - Department of Operations & Information Management, University of Arizona - Department of Management Information Systems, University of Illinois at Chicago and University of Wisconsin - Milwaukee - Sheldon B. Lubar School of Business
Downloads 72 (552,018)

Abstract:

Loading...

Social Tagging, Sparsity, Tag-Based Recommendation, Unlabeled Items

6.

Leveraging Multi-Source Heterogeneous Data for Financial Risk Prediction: A Novel Hybrid-Strategy-Based Self-Adaptive Method

MIS Quarterly
Posted: 08 Mar 2021 Last Revised: 30 Nov 2023
Gang Wang, Gang Chen, Huimin Zhao, Feng Zhang, Shanlin Yang and Tian Lu
Hefei University of Technology, Fudan University - School of Management, University of Wisconsin - Milwaukee - Sheldon B. Lubar School of Business, Hefei University of Technology, Hefei University of Technology - Key Laboratory of Process Optimization and Intelligent Decision-Making (MOE) and Department of Information Systems, Arizona State University

Abstract:

Loading...

Financial risk prediction, soft information, ensemble learning, hybrid learning strategy, adaptive integration, adaptive aggregation