Learning Bayesian network structure using Markov blanket decomposition. - Anh Tuan Bui; Chi-Hyuck Jun (Pattern Recognit. Lett., 2012)

A Monitoring and Diagnostic Approach for Stochastic Textured Surfaces. - Anh Tuan Bui; Daniel W. Apley (Technometrics, 2018)

An exploratory analysis approach for understanding variation in stochastic textured surfaces. - Anh Tuan Bui; Daniel W. Apley (Comput. Stat. Data Anal., 2019)

Projection-free kernel principal component analysis for denoising. - Anh Tuan Bui; Joon-Ku Im; Daniel W. Apley; George C. Runger (Neurocomputing, 2019)

Conditional Manifold Learning. - Anh Tuan Bui (CoRR, 2021)

On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds. - Trung Le 001; Anh Tuan Bui; Le Minh Tri Tue; He Zhao 001; Paul Montague; Quan Hung Tran; Dinh Q. Phung (AISTATS, 2022)

A Unified Wasserstein Distributional Robustness Framework for Adversarial Training. - Anh Tuan Bui; Trung Le 001; Quan Hung Tran; He Zhao 001; Dinh Q. Phung (ICLR, 2022)

Multiple Perturbation Attack: Attack Pixelwise Under Different $ ell_p$-norms For Better Adversarial Performance. - Ngoc N. Tran; Anh Tuan Bui; Dinh Q. Phung; Trung Le 001 (CoRR, 2022)

Robust monitoring of stochastic textured surfaces. - Anh Tuan Bui; Daniel W. Apley (Int. J. Prod. Res., 2022)

A closed-form solution for conditional multidimensional scaling. - Anh Tuan Bui (Pattern Recognit. Lett., 2022)

Analyzing Nonparametric Part-to-Part Variation in Surface Point Cloud Data. - Anh Tuan Bui; Daniel W. Apley (Technometrics, 2022)

Global-Local Regularization Via Distributional Robustness. - Hoang Phan; Trung Le 001; Trung Phung; Anh Tuan Bui; Nhat Ho; Dinh Q. Phung (AISTATS, 2023)

Optimal Transport Model Distributional Robustness. - Van-Anh Nguyen; Trung Le 001; Anh Tuan Bui; Thanh-Toan Do; Dinh Q. Phung (NeurIPS, 2023)

Robust Contrastive Learning With Theory Guarantee. - Ngoc N. Tran; Lam Tran; Hoang Phan; Anh Tuan Bui; Tung Pham 001; Toan Tran 003; Dinh Q. Phung; Trung Le 001 (CoRR, 2023)

Generating Adversarial Examples with Task Oriented Multi-Objective Optimization. - Anh Tuan Bui; Trung Le 001; He Zhao 001; Quan Hung Tran; Paul Montague; Dinh Phung 001 (Trans. Mach. Learn. Res., 2023)

Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors. - Kungang Zhang; Anh Tuan Bui; Daniel W. Apley (Technometrics, 2023)

Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts. - Anh Tuan Bui; Khanh Doan; Trung Le 001; Paul Montague; Tamas Abraham; Dinh Q. Phung (CoRR, 2024)

Connective Viewpoints of Signal-to-Noise Diffusion Models. - Khanh Doan; Long Tung Vuong; Tuan Nguyen 004; Anh Tuan Bui; Quyen Tran; Thanh-Toan Do; Dinh Phung 001; Trung Le 001 (CoRR, 2024)

Dimension Reduction With Prior Information for Knowledge Discovery. - Anh Tuan Bui (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Root cause analysis of manufacturing variation from optical scanning data. - Anh Tuan Bui (Ann. Oper. Res., 2024)

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. - Anh Tuan Bui; Thuy-Trang Vu; Long Tung Vuong; Trung Le 001; Paul Montague; Tamas Abraham; Junae Kim; Dinh Phung 001 (ICLR, 2025)