On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations. - Hong T. M. Chu; Kim-Chuan Toh; Yangjing Zhang (J. Mach. Learn. Res., 2022)

An efficient implementable inexact entropic proximal point algorithm for a class of linear programming problems. - Hong T. M. Chu; Ling Liang; Kim-Chuan Toh; Lei Yang 030 (Comput. Optim. Appl., 2023)

Implicit Regularization via Spectral Neural Networks and Non-linear Matrix Sensing. - Hong T. M. Chu; Subhro Ghosh; Chi Thanh Lam; Soumendu Sundar Mukherjee (CoRR, 2024)

A Corrected Inexact Proximal Augmented Lagrangian Method with a Relative Error Criterion for a Class of Group-Quadratic Regularized Optimal Transport Problems. - Lei Yang 030; Ling Liang; Hong T. M. Chu; Kim-Chuan Toh (J. Sci. Comput., 2024)

A Robust Optimization Model for Cost-Efficient and Fast Electric Vehicle Charging with L2-norm Uncertainty. - Trung Duc Tran; Ngoc Doanh Nguyen; Hong T. M. Chu; Laurent El Ghaoui; Luca Ambrosino; Giuseppe Calafiore (CoRR, 2025)