activity
20242026
most citedBeyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction

2 citations · 5 across the 18 of their papers we have counts for

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Showing 2026Show all

9 papers · 1 filter

cs.MA2026

Replication or Corroboration? An Axiomatic Framework for Evidential Dependence in Multi-Agent Debate

Hoang-Loc Cao, Truong Thanh Hung Nguyen, Phuc Truong Loc Nguyen +6

In multi-agent debates, matching reports can arise for two different reasons: agents may repeat the same evidence (replication), or they may provide separate evidential roots that…

cs.CV2026

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…

cs.AI2026

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…

cs.AI2026

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…

cs.CV2026

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…

cs.AI2026

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…

cs.LG2026

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…

cs.AI2026

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…

cs.MA2026

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)…