Gu joined the doctoral program in 2014. Prior to that, he served as a research assistant in the Visual Analytic Group, State Key Lab of CAD&CG during his undergraduate period. Gu received a B.S. in Information and Computing Science from Zhejiang University. His research interest includes econometrics, deep Learning and statistical learning, natural language processing, digital Marketing, online reviews, crowdfunding and other internet-enabled platforms. Gu's previous research in data visualization has been presented at several international academic conferences.
Tianyu Gu, Yong Liu, Madhu Viswanathan, “Differentiation in Online Product Reviews: A Machine Learning Based Analysis”, job market paper, under review at Marketing Science
Tianyu Gu, Bikram Ghosh, Yong Liu, “Effects of Text and Image on Reward-Based Crowdfunding Performance”, being finalized for submission to Journal of Marketing Research
Tianyu Gu, Yong Liu, Junming Yin, “Capturing Virtual Business Opportunities from Real-World Events”, manuscript being prepared for submission to Management Science
Nooshin L. Warren, Matthew Farmer, Tianyu Gu, Caleb Warren, “How to Write Research Papers That Have a Larger Impact”, being finalized for submission to Journal of Consumer Research
Wang, Fei, Wei Chen, Ye Zhao, Tianyu Gu, Siyuan Gao, and Hujun Bao. “Adaptively exploring population mobility patterns in flow visualization.” IEEE Transactions on Intelligent Transportation Systems 18, no. 8 (2017): 2250-2259.
Wang, Fei, Wei Chen, Feiran Wu, Ye Zhao, Han Hong, Tianyu Gu, Long Wang, Ronghua Liang, and Hujun Bao. “A visual reasoning approach for data-driven transport assessment on urban roads.” In 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 103-112. IEEE, 2014.
"Understanding Review Differentiation and Its Motivations: A Machine Learning Based Text Analysis of Yelp Reviews"
- China Marketing International Conference, Shanghai, 2018
- INFORMS Marketing Science Conference, Los Angeles, CA, 2017
"Capturing Virtual Business Opportunities from Real-World Events: Findings and Insights from Sports Video Games"
- Wharton Customer Analytics Initiative Symposium, San Francisco, CA, 2017
"A Visual Reasoning Approach for Data-Driven Transport Assessment on Urban Roads"
- China Visualization Conference, Beijing, 2014