Anh Tuan Bui - RankMe

29 papers A* 3A 2Journal 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Antibody: Strengthening Defense Against Harmful Fine-Tuning for Large Language Models via Attenuating Harmful Gradient Influence. CoRR Quoc Minh Nguyen, Trung Le, Jing Wu, Anh Tuan Bui, Mehrtash Harandi
2026	J	`jnl`	Conditional multidimensional scaling with incomplete conditioning data. J. Multivar. Anal. Anh Tuan Bui
2026	J	`jnl`	Improving LLM Unlearning Robustness via Random Perturbations. Trans. Mach. Learn. Res. Dang Huu-Tien, Hoang Thanh-Tung, Anh Tuan Bui, Nguyen Minh Phuong, Nguyen Minh Le, Naoya Inoue
2026	J	`jnl`	Scalable data twinning. Pattern Recognit. Lett. Sujay Mudalgi, Anh Tuan Bui
2025	J	`jnl`	Conditional Multidimensional Scaling with Incomplete Conditioning Data. CoRR Anh Tuan Bui
2025	A*	`conf`	Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. ICLR Anh Tuan Bui, Thuy-Trang Vu, Long Tung Vuong, Trung Le, Paul Montague, Tamas Abraham, Junae Kim, Dinh Phung
2024	J	`jnl`	Connective Viewpoints of Signal-to-Noise Diffusion Models. CoRR Khanh Doan, Long Tung Vuong, Tuan Nguyen, Anh Tuan Bui, Quyen Tran, Thanh-Toan Do, Dinh Phung, Trung Le
2024	J	`jnl`	Dimension Reduction With Prior Information for Knowledge Discovery. IEEE Trans. Pattern Anal. Mach. Intell. Anh Tuan Bui
2024	J	`jnl`	Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts. CoRR Anh Tuan Bui, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Q. Phung
2024	J	`jnl`	Root cause analysis of manufacturing variation from optical scanning data. Ann. Oper. Res. Anh Tuan Bui
2023	J	`jnl`	Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors. Technometrics Kungang Zhang, Anh Tuan Bui, Daniel W. Apley
2023	J	`jnl`	Generating Adversarial Examples with Task Oriented Multi-Objective Optimization. CoRR Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Q. Phung
2023	J	`jnl`	Generating Adversarial Examples with Task Oriented Multi-Objective Optimization. Trans. Mach. Learn. Res. Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Phung
2023	A	`conf`	Global-Local Regularization Via Distributional Robustness. AISTATS Hoang Phan, Trung Le, Trung Phung, Anh Tuan Bui, Nhat Ho, Dinh Q. Phung
2023	A*	`conf`	Optimal Transport Model Distributional Robustness. NeurIPS Van-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Q. Phung
2023	J	`jnl`	Optimal Transport Model Distributional Robustness. CoRR Van-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Q. Phung
2023	J	`jnl`	Robust Contrastive Learning With Theory Guarantee. CoRR Ngoc N. Tran, Lam Tran, Hoang Phan, Anh Tuan Bui, Tung Pham, Toan Tran, Dinh Q. Phung, Trung Le
2022	A*	`conf`	A Unified Wasserstein Distributional Robustness Framework for Adversarial Training. ICLR Anh Tuan Bui, Trung Le, Quan Hung Tran, He Zhao, Dinh Q. Phung
2022	J	`jnl`	A closed-form solution for conditional multidimensional scaling. Pattern Recognit. Lett. Anh Tuan Bui
2022	J	`jnl`	Analyzing Nonparametric Part-to-Part Variation in Surface Point Cloud Data. Technometrics Anh Tuan Bui, Daniel W. Apley
2022	J	`jnl`	Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$-norms For Better Adversarial Performance. CoRR Ngoc N. Tran, Anh Tuan Bui, Dinh Q. Phung, Trung Le
2022	A	`conf`	On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds. AISTATS Trung Le, Anh Tuan Bui, Le Minh Tri Tue, He Zhao, Paul Montague, Quan Hung Tran, Dinh Q. Phung
2022	J	`jnl`	Robust monitoring of stochastic textured surfaces. Int. J. Prod. Res. Anh Tuan Bui, Daniel W. Apley
2021	J	`jnl`	Conditional Manifold Learning. CoRR Anh Tuan Bui
2020	J	`jnl`	Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors. CoRR Kungang Zhang, Anh Tuan Bui, Daniel W. Apley
2019	J	`jnl`	An exploratory analysis approach for understanding variation in stochastic textured surfaces. Comput. Stat. Data Anal. Anh Tuan Bui, Daniel W. Apley
2019	J	`jnl`	Projection-free kernel principal component analysis for denoising. Neurocomputing Anh Tuan Bui, Joon-Ku Im, Daniel W. Apley, George C. Runger
2018	J	`jnl`	A Monitoring and Diagnostic Approach for Stochastic Textured Surfaces. Technometrics Anh Tuan Bui, Daniel W. Apley
2012	J	`jnl`	Learning Bayesian network structure using Markov blanket decomposition. Pattern Recognit. Lett. Anh Tuan Bui, Chi-Hyuck Jun