Yong Ge

Yong Ge joined the Eller College of Management in 2016 after previously teaching at the University of North Carolina at Charlotte. He earned his PhD in Management Science and Information Systems in 2013 from Rutgers University. His research focuses on data mining, machine learning, recommender systems and business analytics.

Courses

• MIS 587 Business Intelligence
• MIS 611A Design Science Research Methodologies

Publications

• Q. Liu, J. Zhang, D. Lian, Y. Ge, J. Ma and E. Chen, “Online Additive Quantization” Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), Accepted, 2021

• Z. Li, Y. Ge, and X. Bai, “What Will Be Popular Next? Predicting Hotspots in Two-mode Social Networks,” MIS Quarterly, Accepted, 2020

• Y. Ge, H. Li, and A. Tuzhilin, “Route Recommendations for Intelligent Transportation Services,” IEEE Transactions on Knowledge and Data Engineering (TKDE), Accepted, 2019, DOI: 10.1109/TKDE.2019.2937864.

• Yong Ge, Zijun Yao, and Huayu Li. Computing Co-location Patterns in Spatial Data with Extended Objects: A Buffer-based Approach. IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted, 2019.

• Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen and Xing Xie. GeoMF++: Making Joint Geographical Modeling and Matrix Factorization Scalable. ACM Transactions on Information Systems (TOIS), 36(3), 2018.

• Hengshu Zhu, Hui Xiong, Yong Ge, and Enhong Chen. Discovery of Ranking Fraud for Mobile Apps: A Summary of Results, IEEE Transactions on Knowledge and Data Engineering, 27(1) 74-87, 2015

• Yong Ge, Guofei Jiang, Min Ding, and Hui Xiong. Metric Ranking in Invariant Networks of Distributed Systems, Volume 8 Issue 2, Article 8, ACM Transactions on Knowledge Discovery from Data, 2014

• Yong Ge, Hui Xiong, Alexander Tuzhilin, and Qi Liu. Cost-aware Collaborative Filtering for Travel Tour Recommendations, ACM Transactions on Information Systems, Volume 32 Issue 1, Article No.4, January 2014

• Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, and Zhongmou Li. A Cocktail Approach for Travel Package Recommendation, IEEE Transactions on Knowledge and Data Engineering, Volume 26, Issue 2, February 2014, pp. 278-293.

• Yong Ge, Hui Xiong,Wenjun Zhou, Siming Li and Ramendra Sahoo. Multi-focal Learning for Customer Problem Analysis. ACM Transactions on Intelligent Systems and Technology,Volume 2 Issue 3, April 2011

Awards and Honors

• Dean’s Research Award (awarded to one Assistant Professor across the college), Eller College of Management, 2020
• NSF CAREER Award, 2019
• Ralph E. Powe Junior Faculty Enhancement Award, 2015
• Excellence in Academic Research ( One Per School), Rutgers Business School, 2013
• IEEE ICDM Best Research Paper, 2011

Professional Associations

• IEEE
• ACM
• AIS