Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
A Comprehensive Survey of RAG Types: Understanding Modern Retrieval-Augmented Generation Architectures
Published:
Retrieval-Augmented Generation (RAG) has emerged as a pivotal paradigm in modern AI systems, combining the power of large language models with external knowledge retrieval. This survey explores the various types and architectures of RAG systems that have been developed to address different use cases and challenges in natural language processing.
Qdrant vs Milvus: Which Vector Database is Right for You?
Published:
Vector databases store data as vectors (lists of numbers) instead of using traditional rows and columns. They use high-dimensional vector embeddings to handle unstructured data like text, images, and audio much better than regular databases can.
A2A and MCP: What is the difference?
Published:
For developers and companies exploring AI, now is the perfect time to start learning and building. A2A and MCP together mark the beginning of a more standardized, secure approach to enterprise AI.
My Journey to Becoming an AI Agent Developer
Published:
My path to becoming an AI Agent developer began with a foundation in traditional machine learning and evolved through a series of pivotal learning experiences and research projects. Looking back, this journey represents not just a career evolution, but a fundamental shift in how I view the potential of artificial intelligence.
portfolio
publications
A Comparison of Feature Selection and Feature Extraction in Network Intrusion Detection Systems
Published in 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2022
This paper presents a comprehensive comparison between feature selection and feature extraction techniques in network intrusion detection systems.
Recommended citation: Vuong Tuan-Cuong, Tran Hung, Trang Mai Xuan, Ngo Vu-Duc, Luong Thien Van. (2022). "A Comparison of Feature Selection and Feature Extraction in Network Intrusion Detection Systems." 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1798-1804.
Download Paper
Machine learning-based intrusion detection: feature selection versus feature extraction
Published in Cluster Computing, 2023
This paper explores the comparative effectiveness of feature selection and feature extraction techniques in machine learning-based network intrusion detection systems.
Recommended citation: Ngo Vu-Duc, Vuong Tuan-Cuong, Van Luong Thien, Tran Hung. (2023). "Machine learning-based intrusion detection: feature selection versus feature extraction." Cluster Computing, pp. 1-15.
Download Paper
BERT-VBD: Vietnamese Multi-Document Summarization Framework
Published in CITA 2024: The 13th Conference on Information Technology and its Applications, 2024
This paper introduces BERT-VBD, a novel framework for Vietnamese multi-document summarization.
Recommended citation: Vuong Tuan-Cuong, Trang Mai Xuan, Luong Thien Van. (2024). "BERT-VBD: Vietnamese Multi-Document Summarization Framework." CITA 2024: The 13th Conference on Information Technology and its Applications, pp. 1798-1804.
Download Paper
Effective Intrusion Detection for UAV Communications using Autoencoder-based Feature Extraction and Machine Learning Approach
Published in 2024 International Symposium on Nonlinear Theory and Its Applications, 2024
This paper presents an effective intrusion detection system for UAV communications leveraging autoencoder-based feature extraction techniques.
Recommended citation: Vuong Tuan-Cuong, Cong Chi Nguyen, Pham Van-Cuong, Le Thi-Thanh-Huyen, Tran Xuan-Nam, Luong Thien Van. (2024). "Effective Intrusion Detection for UAV Communications using Autoencoder-based Feature Extraction and Machine Learning Approach." 2024 International Symposium on Nonlinear Theory and Its Applications, pp. 798-804.
Download Paper
Training-Free Mixture of Agents for Multi-Document Summarization Leveraging LLMs and Knowledge Graphs
Published in Neural Computing and Applications, 2025
This paper presents an mixture of agents method for solve multi-document summarization task.
Recommended citation: Vuong Tuan-Cuong, Trang Mai Xuan, Cuong Nguyen Tien, Luong Thien Van. (2025). "Training-Free Mixture of Agents for Multi-Document Summarization Leveraging LLMs and Knowledge Graphs." Neural Computing and Applications, pp. 798-804.
Download Paper
talks
A Comparison of Feature Selection and Feature Extraction in Network Intrusion Detection Systems
Published:
I presented our research on comparing feature selection and feature extraction techniques in network intrusion detection systems at the 2022 APSIPA ASC conference in Bangkok, Thailand. This talk showcased our comprehensive evaluation of dimensionality reduction approaches for enhancing cybersecurity systems.
BERT-VBD: A Vietnamese BERT Model for Question Answering in Vietnamese Banking Domain
Published:
Presented research on BERT-VBD, a specialized Vietnamese BERT model fine-tuned for question answering tasks in the Vietnamese banking domain. The work demonstrates significant improvements in domain-specific natural language understanding compared to general-purpose Vietnamese language models.
UAV-Assisted Communication Networks: Optimization and Performance Analysis
Published:
Presented research on UAV-assisted communication networks with focus on optimization algorithms and performance analysis. The work explores novel approaches to improve communication efficiency in unmanned aerial vehicle networks.
teaching
Introduction to Artificial Intelligence
Undergraduate course, Phenikaa University, Department of Computer Science, 2023
This undergraduate course provides a comprehensive introduction to artificial intelligence concepts and their real-world applications. The course is designed to bridge theoretical foundations with practical implementations, giving students both conceptual understanding and hands-on experience.
Machine Learning: Focus on Feature Extraction Techniques
Graduate course, National Economics University (NEU), Department of Computer Science, 2024
This graduate-level course delves into machine learning with a special emphasis on feature extraction techniques. The curriculum explores both theoretical foundations and practical applications, particularly highlighting how effective feature extraction can significantly improve model performance.