Tight SDP Relaxations for Cardinality-Constrained Problems. - Angelika Wiegele; Shudian Zhao (OR, 2021)

SDP-based bounds for graph partition via extended ADMM. - Angelika Wiegele; Shudian Zhao (Comput. Optim. Appl., 2022)

Model-Based Feature Selection for Neural Networks: A Mixed-Integer Programming Approach. - Shudian Zhao; Calvin Tsay; Jan Kronqvist (LION, 2023)

Alternating Mixed-Integer Programming and Neural Network Training for Approximating Stochastic Two-Stage Problems. - Jan Kronqvist; Boda Li; Jan Rolfes; Shudian Zhao (LOD (2), 2023)

Partitioning through projections: Strong SDP bounds for large graph partition problems. - Frank de Meijer; Renata Sotirov; Angelika Wiegele; Shudian Zhao (Comput. Oper. Res., 2023)

A constrained optimization approach to improve robustness of neural networks. - Shudian Zhao; Jan Kronqvist (CoRR, 2024)