Van-Anh Nguyen

According to our database, Van-Anh Nguyen authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MATO: Multi-objective Personalized Alignment with Test-time Optimization for Large Language Models.

Linhao Luo, Thuy-Trang Vu, Van-Anh Nguyen, Junae Kim, Gholamreza Haffari, Dinh Q. Phung

CoRR, May, 2026

Adaptive Subspace Projection for Generative Personalization.

Van-Anh Nguyen, Anh Tuan Bui, Tamas Abraham, Junae Kim, Amardeep Kaur, Rollin Omari, Thuy-Trang Vu, Dinh Phung

CoRR, May, 2026

2025

Optimizing Specific and Shared Parameters for Efficient Parameter Tuning.

Van-Anh Nguyen, Thanh-Toan Do, Mehrtash Harandi, Dinh Q. Phung, Trung Le

CoRR, April, 2025

Why Domain Generalization Fail? A View of Necessity and Sufficiency.

Long Tung Vuong, Vy Vo, Hien Dang, Van-Anh Nguyen, Thanh-Toan Do, Mehrtash Harandi, Trung Le, Dinh Q. Phung

CoRR, February, 2025

Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency.

Van-Anh Nguyen, Trung Le, Mehrtash Harandi, Ehsan Abbasnejad, Thanh-Toan Do, Dinh Phung

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Agnostic Sharpness-Aware Minimization.

Van-Anh Nguyen, Quyen Tran, Tuan Truong, Thanh-Toan Do, Dinh Quoc Phung, Trung Le

CoRR, 2024

Frequency Attention for Knowledge Distillation.

Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Multimodal feature fusion for illumination-invariant recognition of abnormal human behaviors.

Van-Anh Nguyen, Seong G. Kong

Inf. Fusion, December, 2023

Flat Seeking Bayesian Neural Networks.

Van-Anh Nguyen, Long Tung Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le

CoRR, 2023

Flat Seeking Bayesian Neural Networks.

Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Transport Model Distributional Robustness.

Van-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Q. Phung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Vision Transformer Visualization: What Neurons Tell and How Neurons Behave?

Van-Anh Nguyen, Khanh Pham Dinh, Long Tung Vuong, Thanh-Toan Do, Quan Hung Tran, Dinh Q. Phung, Trung Le

CoRR, 2022

ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection.

Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

2021

STEM: An approach to Multi-source Domain Adaptation with Guarantees.

Van-Anh Nguyen, Tuan Nguyen, Trung Le, Quan Hung Tran, Dinh Phung

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

SPINFER: Inferring Semantic Patches for the Linux Kernel.

Lucas Serrano, Van-Anh Nguyen, Ferdian Thung, Lingxiao Jiang, David Lo, Julia Lawall, Gilles Muller

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

Image Captioning in Vietnamese Language Based on Deep Learning Network.

Ha Nguyen Tien, Thanh-Ha Do, Van-Anh Nguyen

Proceedings of the Advances in Computational Collective Intelligence, 2020