Khoa Nguyen

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

Bibliography

2026
Towards multi-modal forgery representation learning for AI-generated video detection and localization.
CoRR, May, 2026

Program Structure-aware Language Models: Targeted Software Testing beyond Textual Semantics.
CoRR, April, 2026

Material Identification using Multi-Modal Intrinsic Radiation and Radiography.
CoRR, March, 2026

"I Felt Bad After We Ignored Her": Understanding How Interface-Driven Social Prominence Shapes Group Discussions with GenAI.
CoRR, February, 2026

MEmilio - A high performance Modular EpideMIcs simuLatIOn software for multi-scale and comparative simulations of infectious disease dynamics.
CoRR, February, 2026

NOIR: Privacy-Preserving Generation of Code with Open-Source LLMs.
CoRR, January, 2026

A Context-Aware Multi-agent Approach to Enhancing User Story Management in Agile Software Development.
Proceedings of the Requirements Engineering: Foundation for Software Quality, 2026

"I Felt Bad After We Ignored Her": Understanding How Interface-Driven Social Prominence Shapes Group Discussions with GenAI.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025
FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design.
CoRR, August, 2025

Sparse Partial Optimal Transport via Quadratic Regularization.
CoRR, August, 2025

A Landmark-Aided Navigation Approach Using Side-Scan Sonar.
CoRR, March, 2025

Agent-based modeling for realistic reproduction of human mobility and contact behavior to evaluate test and isolation strategies in epidemic infectious disease spread.
Comput. Biol. Medicine, 2025

A Comparison of the Effects of Model Adaptation Techniques on Large Language Models for Non-Linguistic and Linguistic Tasks.
Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

Clustering-Based Meta Bayesian Optimization with Theoretical Guarantee.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Machine Learning-based Receiver Scheduling for Electronic Support.
Proceedings of the IEEE Military Communications Conference, 2025

Neural Autoregressive Flows for Markov Boundary Learning.
Proceedings of the IEEE International Conference on Data Mining, 2025

AUV Flight Height Detection and Filtering from Sidescan Sonar Images.
Proceedings of the 28th International Conference on Information Fusion, 2025

SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
Sampling Foundational Transformer: A Theoretical Perspective.
CoRR, 2024

SAMSA: Efficient Transformer for Many Data Modalities.
CoRR, 2024

2023
Hierarchical Uncertainty Aggregation and Emphasis Loss for Active Learning in Object Detection.
Proceedings of the IEEE International Conference on Big Data, 2023

2021
MC-OCR Challenge 2021: An end-to-end recognition framework for Vietnamese Receipts.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2021

2020
Temporal Sub-Sampling of Audio Feature Sequences for Automated Audio Captioning.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

Determination of SWIR Features for Noninvasive Glucose Monitoring Using Machine Learning.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

2015
A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI.
NeuroImage, 2015

2005
Dynamic Helper Threaded Prefetching on the Sun UltraSPARC CMP Processor.
Proceedings of the 38th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-38 2005), 2005


  Loading...