Carl H. Lindner College of BusinessCarl H. Lindner College of BusinessUniversity of Cincinnati

Carl H. Lindner College of Business

Xiaorui Zhu

PhD Student
Professional Summary
Xiaorui (Jeremy) Zhu is a Ph.D. student at University of Cincinnati, Lindner College of Business. His research area is Business Analytics. His research interests include high dimensional statistics, machine learning, quantitative finance, and data mining. "Stay Hungry, Stay Foolish, and Stay Creative. "
Contact Information
E-mail:
Office:
534 Carl H. Lindner Hall
Phone:
513-556-5703
Fax:
513-556-5499
Education

Institution:
The Pennsylvania State University
Location:
PA
Major:
Finance
Completed:
2016
Degree:
MS


Institution:
Beijing University of Technology
Location:
Beijing, China
Major:
Applied Statistics
Completed:
2014
Degree:
MS


Institution:
Capital University of Economics and Business
Location:
Beijing, China
Major:
Statistics
Completed:
2011
Degree:
BA


Published Contributions

Xiaorui Zhu, Li Xie,  (2016). Adaptive quasi-maximum likelihood estimation of GARCH models with Student's t likelihood. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 6102-6111.


Kathryn  Jablokow, Xiaorui Zhu, Jack  Matson, Akshay  Kakde,  (2016). Stimulating Creativity in Online Learning Environments through Intelligent Fast Failure (IFF). American Society of Engineering Education (ASEE) 2016 Annual Conference & Exposition, .


Xiaorui Zhu, Li Xie,  (2016). Adaptive quasi-maximum likelihood estimation of GARCH models with Student’s t likelihood. Communications in Statistics - Theory and Methods , 6102-6111.



Accepted Contributions



Research in progress

Title:
Exploring the Diversity of Creative Prototyping in a Global Online Learning Environment (Submitted)

Description:
In this paper, we examine the diversity of creative prototyping responses and perceptions in a global online learning environment through our investigation of a simple building task (i.e., “the Shoe Tower”) in the context of a Massive Open Online Course (MOOC) focused on creativity, innovation, and change. This simple creative task, which used common household objects (shoes), was designed and presented to a global community of online learners using the Coursera MOOC platform. Performance data gathered from the task outcomes (Shoe Tower metrics and number of build attempts) and student reflections (self-assessed beauty and creativity ratings) were analyzed with respect to gender, country of origin, and occupation. An exploratory analysis of structural patterns within the prototyping responses was also completed. Our results show that gender and country of origin had statistically significant effects on creative prototyping performance, while occupation did not. In addition, the self-assessment of individual creativity was independent of gender, country of origin, and occupation, while self-assessed beauty ratings were related to country of origin and occupation, but not gender.

Status:
Writing Results

Research Type:
Scholarly


Presentations

Title:
Additive Logistic Model with Macroeconomic Covariates for Corporate Bankruptcy Prediction
Organization:
ASA
Location:
Baltimore, Maryland
Year:
2017


Title:
Amplify Creativity in Big Data Era: Relationship between creativity and failure
Organization:
Renmin University of China
Location:
Beijing, China
Year:
2016