Dang Nguyen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
FaSTA<sup>*</sup>: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing.
CoRR, June, 2025

Do We Need All the Synthetic Data? Towards Targeted Synthetic Image Augmentation via Diffusion Models.
CoRR, May, 2025

ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness.
CoRR, April, 2025

On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions.
CoRR, April, 2025

CoSTA∗: Cost-Sensitive Toolpath Agent for Multi-turn Image Editing.
CoRR, March, 2025

OWLViz: An Open-World Benchmark for Visual Question Answering.
CoRR, March, 2025

Synthetic Text Generation for Training Large Language Models via Gradient Matching.
CoRR, February, 2025

Leveraging Multicriteria Integer Programming Optimization for Effective Team Formation.
IEEE Trans. Learn. Technol., 2025

RuleR: Improving LLM Controllability by Rule-based Data Recycling.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity.
Proceedings of the Findings of the Association for Computational Linguistics, 2025


2024
Convenient efficiency: A media genealogy of QR codes.
New Media Soc., 2024

Few-shot Algorithm Assurance.
CoRR, 2024

GUI Agents: A Survey.
CoRR, 2024

Telepathology in Hematopathology Diagnostics: A Collaboration Between Ho Chi Minh City Oncology Hospital and University of Texas Health-McGovern Medical School.
CoRR, 2024

Personalized Multimodal Large Language Models: A Survey.
CoRR, 2024

DynaSaur: Large Language Agents Beyond Predefined Actions.
CoRR, 2024

Memory-efficient Training of LLMs with Larger Mini-batches.
CoRR, 2024

Multi-level Phenotypic Models of Cardiovascular Disease and Obstructive Sleep Apnea Comorbidities: A Longitudinal Wisconsin Sleep Cohort Study.
CoRR, 2024

Make the Most of Your Data: Changing the Training Data Distribution to Improve In-distribution Generalization Performance.
CoRR, 2024

Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior.
Proceedings of the Asian Conference on Machine Learning, 2024

Multi-Objective Linguistic Control of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Real-Time Magnetic Tracking and Diagnosis of COVID-19 via Machine Learning.
CoRR, 2023

Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction.
Proceedings of the International Conference on Machine Learning, 2023

2022
DANGNT-SGU at SemEval-2022 Task 11: Using Pre-trained Language Model for Complex Named Entity Recognition.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

2021
Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

2020
A Study on the Impact of Alcoholism on EEG-based Cryptographic Key Generation Systems.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019
A Study on Combining EEG Signals and Crytography for Bitcoin Security.
Aust. J. Intell. Inf. Process. Syst., 2019

2018
On the Study of Impacts of Brain Conditions on EEG-based Cryptographic Key Generation Systems.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

Emotional Influences on Cryptographic Key Generation Systems using EEG signals.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

2017
Random Number Generators Basedon EEG Non-linear and ChaoticCharacteristics.
J. Cyber Secur. Mobil., 2017

UIT-DANGNT-CLNLP at SemEval-2017 Task 9: Building Scientific Concept Fixing Patterns for Improving CAMR.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

EEG-Based Random Number Generators.
Proceedings of the Network and System Security - 11th International Conference, 2017

On The Study of EEG-based Cryptographic Key Generation.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

Investigating The Impact Of Epilepsy On EEG-based Cryptographic Key Generation Systems.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

Wavelet transform and adaptive arithmetic coding techniques for EEG lossy compression.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Investigating the possibility of applying EEG lossy compression to EEG-based user authentication.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Behavior of superparamagnetic nanoparticles in regard of brain activity - a proof of concept.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016


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