2 citations · 5 across the 18 of their papers we have counts for
19 papers
Geometry-anchored PET-aware multimodal pseudo-CT synthesis for whole-body attenuation correction: the BIC-MAC Challenge
Xuan Loc Nguyen, Hoang-Loc Cao, Truong Thanh Hung Nguyen +4
The BIC-MAC challenge targets whole-body pseudo-CT synthesis from NAC-PET, Dixon MRI, and a 2D topogram for CT-less PET attenuation correction. We propose GeoPACT, a geometry-ancho…
Adaptive Arena-based Contestable Argumentative Network-of-Experts for Open-Ended Care Plan Coordination
Truong Thanh Hung Nguyen, Hoang-Loc Cao, Phuc Ho +3
Care plan coordination demands synthesizing heterogeneous clinical, functional, and psychosocial information across multiple professional disciplines, where monolithic LLM pipeline…
Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation
Hoang-Loc Cao, Van Pham, Truong Thanh Hung Nguyen +4
Annotation quality is a major bottleneck in building reliable and explainable artificial intelligence (XAI) systems for mental health research. In depression-related datasets, labe…
Anatomically-conditioned Latent Diffusion Model for Data-Efficient Few-Shot Cross-Domain 3D Glioma MRI Synthesis
Salman Shaik, Truong Thanh Hung Nguyen, Hung Cao
Accurate classification of diffuse gliomas is often hindered by domain shifts across centers and a lack of large, annotated datasets. We propose the Anatomically-conditioned Latent…
Consensus-based Agentic Large Language Model Framework for Harmonized Tariff Schedule Code Classification
Truong Thanh Hung Nguyen, Khanh Van Quynh Nguyen, Hoang-Loc Cao +5
Accurate Harmonized Tariff Schedule (HTS) code classification is essential for customs clearance, duty assessment, trade statistics, and regulatory compliance in maritime logistics…
Multi-Dimensional Model Integrity and Responsibility Assessment Index and Scoring Framework
Phuc Truong Loc Nguyen, Thanh Hung Do, Truong Thanh Hung Nguyen +1
Artificial intelligence in high-stakes tabular domains cannot be evaluated by predictive performance alone, yet current practice still assesses explainability, fairness, robustness…
Position: Multi-Agent Algorithmic Care Systems Demand Contestability for Trustworthy AI
Truong Thanh Hung Nguyen, Hélène Fournier, Piper Jackson +4
Multi-agent systems (MAS) are increasingly used in healthcare to support complex decision-making through collaboration among specialized agents. Because these systems act as collec…
Adaptive Collaboration of Arena-Based Argumentative LLMs for Explainable and Contestable Legal Reasoning
Hoang-Loc Cao, Phuc Ho, Truong Thanh Hung Nguyen +3
Legal reasoning requires not only high accuracy but also the ability to justify decisions through verifiable and contestable arguments. However, existing Large Language Model (LLM)…
Variational Quantum Rainbow Deep Q-Network for Optimizing Resource Allocation Problem
Truong Thanh Hung Nguyen, Truong Thinh Nguyen, Hung Cao
Resource allocation remains NP-hard due to combinatorial complexity. While deep reinforcement learning (DRL) methods, such as the Rainbow Deep Q-Network (DQN), improve scalability…
SimInterview: Transforming Business Education through Large Language Model-Based Simulated Multilingual Interview Training System
Truong Thanh Hung Nguyen, Tran Diem Quynh Nguyen, Hoang Loc Cao +3
Business interview preparation demands both solid theoretical grounding and refined soft skills, yet conventional classroom methods rarely deliver the individualized, culturally aw…
Privacy-Preserving Multi-Stage Fall Detection Framework with Semi-supervised Federated Learning and Robotic Vision Confirmation
Seyed Alireza Rahimi Azghadi, Truong-Thanh-Hung Nguyen, Helene Fournier +4
The aging population is growing rapidly, and so is the danger of falls in older adults. A major cause of injury is falling, and detection in time can greatly save medical expenses…
Multimedia Verification Through Multi-Agent Deep Research Multimodal Large Language Models
Huy Hoan Le, Van Sy Thinh Nguyen, Thi Le Chi Dang +3
This paper presents our submission to the ACMMM25 - Grand Challenge on Multimedia Verification. We developed a multi-agent verification system that combines Multimodal Large Langua…
ODExAI: A Comprehensive Object Detection Explainable AI Evaluation
Loc Phuc Truong Nguyen, Hung Truong Thanh Nguyen, Hung Cao
Explainable Artificial Intelligence (XAI) techniques for interpreting object detection models remain in an early stage, with no established standards for systematic evaluation. Thi…
MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities
Truong Thanh Hung Nguyen, Phuc Truong Loc Nguyen, Monica Wachowicz +1
This paper presents a Multimodal Ambient Context-enriched Intelligence Platform (MACeIP) for Smart Cities, a comprehensive system designed to enhance urban management and citizen e…
XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach
Truong Thanh Hung Nguyen, Phuc Truong Loc Nguyen, Hung Cao
Recent advancements in deep learning have significantly improved visual quality inspection and predictive maintenance within industrial settings. However, deploying these technolog…
LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks
Truong Thanh Hung Nguyen, Tobias Clement, Phuc Truong Loc Nguyen +5
LangXAI is a framework that integrates Explainable Artificial Intelligence (XAI) with advanced vision models to generate textual explanations for visual recognition tasks. Despite…
Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations
Dinh An Ngo, Thanh Dat Nguyen, Thi Le Chi Dang +4
Cheating in online exams has become a prevalent issue over the past decade, especially during the COVID-19 pandemic. To address this issue of academic dishonesty, our "Exam Monitor…
Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction
Tobias Clement, Hung Truong Thanh Nguyen, Nils Kemmerzell +2
This paper presents an approach integrating explainable artificial intelligence (XAI) techniques with adaptive learning to enhance energy consumption prediction models, with a focu…
XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection
Tobias Clement, Truong Thanh Hung Nguyen, Mohamed Abdelaal +1
Visual quality inspection systems, crucial in sectors like manufacturing and logistics, employ computer vision and machine learning for precise, rapid defect detection. However, th…