Vo Thanh Khang Nguyen

Orcid: 0009-0009-1633-7787

According to our database1, Vo Thanh Khang Nguyen authored at least 13 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Contestable Multi-Agent Debate with Arena-based Argumentative Computation for Multimedia Verification.
CoRR, May, 2026

Contestable Multi-Agent Debate with Arena-based Argumentative Computation for Multimedia Verification.
Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

2025
Multimedia Verification Through Multi-Agent Deep Research Multimodal Large Language Models.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

XGD: Explainable AI-Guided Knowledge Distillation with Feature Refinement for Semantic Segmentation.
Proceedings of the 38th Canadian Conference on Artificial Intelligence, 2025

2024
Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer.
CoRR, 2024

Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations.
CoRR, 2024

LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Enhancing the Fairness and Performance of Edge Cameras with Explainable AI.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer.
Proceedings of the 37th Canadian Conference on Artificial Intelligence, 2024

2023
A Novel Explainable Artificial Intelligence Model in Image Classification problem.
CoRR, 2023

G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors.
CoRR, 2023

Towards Trust of Explainable AI in Thyroid Nodule Diagnosis.
CoRR, 2023

Towards Better Explanations for Object Detection.
Proceedings of the Asian Conference on Machine Learning, 2023


  Loading...