collaborators

6 papers

cs.AI2026

Conversational versus Dashboard Explainable AI for UAV Intrusion Detection: An Empirical Study of Operator Trust and Reliance

Cong Chi Nguyen, Trang Mai Xuan, Vu-Duc Ngo +3

Machine learning-based Intrusion Detection Systems (IDS) have demonstrated superior performance in securing Unmanned Aerial Vehicle (UAV) networks. However, the 'black-box' nature…

cs.AI2026

Enhancing Explainable Cardiac Diagnosis with Guide-Grounded Multimodal LLMs

Hai-Nam Duy Vuong, Duy-Anh Bui, Trong-Nghia Nguyen +5

The electrocardiogram (ECG) is a cornerstone of cardiac as- sessment, yet clinical deployment of deep learning models remains con- strained by limited interpretability and the hall…

cs.CV2026

CrossSpine: Multi-scale Cross-sequence Attention with Anatomical Priors for Automated Pfirrmann Grading

Hai Son Nguyen, Duong Ngoc Vu, Trong-Nghia Nguyen +5

Automated grading of Lumbar Disc Degeneration is essential for the objective quantification of structural changes associated with low back pain. Observing that baseline models unde…

cs.CV2026

PhenSPINE: A Standardized Benchmark for Spine Pathology Diagnosis

Duong Ngoc Vu, Hai Son Nguyen, Trong-Nghia Nguyen +4

The accurate diagnosis of spinal pathologies depends heavily on radiological interpretation, yet automated systems are hindered by the lack of diverse, high-quality benchmarks. In…

cs.CL2026

A Training-Free Mixture-of-Agents Framework for Multi-Document Summarization using LLMs and Knowledge Graphs

Cuong Vuong Tuan, Trang Mai Xuan, Tien-Cuong Nguyen +2

Multi-Document Summarization (MDS) plays a critical role in distilling essential information from collections of textual data. Existing approaches often struggle to capture complex…

cs.CL2024

BERT-VBD: Vietnamese Multi-Document Summarization Framework

Tuan-Cuong Vuong, Trang Mai Xuan, Thien Van Luong

In tackling the challenge of Multi-Document Summarization (MDS), numerous methods have been proposed, spanning both extractive and abstractive summarization techniques. However, ea…