Difference-of-Convex Learning: Directional Stationarity, Optimality, and Sparsity. - Miju Ahn; Jong-Shi Pang; Jack Xin (SIAM J. Optim., 2017)

Structural properties of affine sparsity constraints. - Hongbo Dong 001; Miju Ahn; Jong-Shi Pang (Math. Program., 2019)

On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition. - Miju Ahn; Nicole Eikmeier; Jamie Haddock; Lara Kassab; Alona Kryshchenko; Kathryn Leonard; Deanna Needell; R. W. M. A. Madushani; Elena Sizikova; Chuntian Wang (CoRR, 2020)

Semi-supervised NMF Models for Topic Modeling in Learning Tasks. - Jamie Haddock; Lara Kassab; Sixian Li; Alona Kryshchenko; Rachel Grotheer; Elena Sizikova; Chuntian Wang; Thomas Merkh; R. W. M. A. Madushani; Miju Ahn; Deanna Needell; Kathryn Leonard (CoRR, 2020)

Consistency bounds and support recovery of d-stationary solutions of sparse sample average approximations. - Miju Ahn (J. Glob. Optim., 2020)

Semi-supervised Nonnegative Matrix Factorization for Document Classification. - Jamie Haddock; Lara Kassab; Sixian Li; Alona Kryshchenko; Rachel Grotheer; Elena Sizikova; Chuntian Wang; Thomas Merkh; R. W. M. A. Madushani; Miju Ahn; Deanna Needell; Kathryn Leonard (ACSCC, 2021)

A Cardinality Minimization Approach to Security-Constrained Economic Dispatch. - David Troxell; Miju Ahn; Harsha Gangammanavar (CoRR, 2021)

Iteratively Reweighted Group Lasso Based on Log-Composite Regularization. - Chengyu Ke; Miju Ahn; Sunyoung Shin; Yifei Lou (SIAM J. Sci. Comput., 2021)

Difference-of-Convex Approximation Methods for the Affine Sparsity Constraints for Hierarchical Variable Selection. - Chengyu Ke; Miju Ahn (IEEECONF, 2024)

A Generalized Formulation for Group Selection via ADMM. - Chengyu Ke; Sunyoung Shin; Yifei Lou; Miju Ahn (J. Sci. Comput., 2024)

Tractable Continuous Approximations for Constraint Selection via Cardinality Minimization. - Miju Ahn; Harsha Gangammanavar; David Troxell (INFORMS J. Optim., 2025)