Department of Industrial Systems Engineering and Management
Education
Ph.D., Georgia Institute of Technology, Aug 2016 – May 2022
Advisor: Prof. Santanu S. Dey
M.S., Johns Hopkins University, Aug 2014 – May 2016
Advisor: Prof. Amitabh Bash
B.S., University of Science and Technology, Beijing, Aug 2010 – May 2014
Research Interests
Mixed Integer Programming
Nonlinear Optimization
Statistical Learning and Machine Learning
Selected Publications
Santanu S. Dey, Marco Molinaro, Guanyi Wang. Solving row-sparse principal component analysis via convex integer programs. accepted by Mathematical Programming.
Dey, Santanu S., Rahul Mazumder, and Guanyi Wang. “Using L1-Relaxation and Integer Programming to Obtain Dual Bounds for Sparse PCA.” Operations Research (2021).
Santanu S. Dey, Guanyi Wang, Yao Xie. An Approximation Algorithm for Training One-Node ReLU Neural Network. IEEE Transactions on Signal Processing 68, 6696-6706, 2020.
Amitabh Basu, Kipp Martin, Christopher Thomas Ryan, Guanyi Wang. Mixed-Integer Linear Representability, Disjunctions, and Chvátal Functions—Modeling Implications. Mathematics of Operations Research, 2019, INFORMS.
