Wingyan Chung

Professor, Kneedler Distinguished Professor of CIS Western Carolina University

  • Cullowhee NC

Wingyan Chung is an information systems scholar with expertise in business analytics, information systems and human-computer interaction.

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Biography

Wingyan Chung is an information systems scholar and educator with expertise in business analytics, information systems, social media analytics, business intelligence, cybersecurity, data and text mining, Web analytics, knowledge management and human-computer interaction. Chung received his doctorate in Management Information Systems from the University of Arizona. He has more than 100 refereed publications in Journal of Management Information Systems, Information & Management, Decision Support Systems, Communications of the ACM, IEEE Computer, Scientific Reports, IJHCS, Journal of the Association for Information Science and Technology, and ICIS, among others. Recognitions include top ranking in BI and analytics, press coverage in ForwardFlorida and in SIGCSE and Senior Member awards from AAAI, ACM and IEEE.

Industry Expertise

Business Services
Education/Learning

Areas of Expertise

Machine Learning
Social Media Analytics
Business Analytics
Information Systems
Business Intelligence

Accomplishments

Excellence in Research Award

University of Central Florida

Hunter Scholar Award

Western Carolina University

Excellence in Research Award

College of Business

Education

he Chinese University of Hong Kong

M.S.

Information & Technology Management

The Chinese University of Hong Kong

B.B.A.

Business Administration

University of Arizona

Ph.D.

Management Information Systems

Affiliations

  • International Journal of Engineering Business Management : Associate Editor
  • Informatics : Editorial Board Member
  • Computer Information Systems at WCU : Academic Advisor

Languages

  • English

Articles

CrossSimON: A Novel Probabilistic Approach to Cross-Platform Online Social Network Simulation

IEEE

2019

The increasing popularity and diversity of online social networks (OSNs) have attracted more and more people to participate in multiple OSNs. Learning users' behavior and information diffusion across platforms is critical for cyber threat detection, but it is still a challenge due to the surge of users participating in multiple social platforms.

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Efficient parameter selection for support vector machines

Enterprise Information Systems

2019

The support vector machines (SVM) is a popular classification method. Many users may not well tune hyperparameters because this step is time-consuming. However, the performance of SVM relies on the values of hyperparameters.

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Rockstar Effect in Distributed Project Management on GitHub Social Networks

Proceedings of the 2019 Pre-Icis Sigdsa Symposium

2020

The internet has become increasingly social, opening up new space for online collaboration and distributed project management. Decentralized management techniques such as open-source software, distributed development, and software-as-a-service allow software developers to easily connect online and to solve complex problems collaboratively.

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