Multimodal learning using convolution neural network and Sparse Autoencoder. - Tien Duong Vu; Hyung-Jeong Yang; Van Quan Nguyen; A-Ran Oh; Mi-Sun Kim (BigComp, 2017)

Real-Time Earthquake Detection Using Convolutional Neural Network and Social Data. - Van Quan Nguyen; Hyung-Jeong Yang; Kyungbaek Kim; A-Ran Oh (BigMM, 2017)

Mapping of a sound environment by a mobile robot. (Cartographie d'un environnement sonore par un robot mobile). - Van Quan Nguyen (2017)

Applications of Anomaly Detection Using Deep Learning on Time Series Data. - Van Quan Nguyen; Linh Van Ma; Jin-Young Kim; Kwang-Ki Kim; Jinsul Kim (DASC/PiCom/DataCom/CyberSciTech, 2018)

Audio-based emotion recognition using GMM supervector an SVM linear kernel. - Dinh-Son Tran; Hyung-Jeong Yang; Soo-Hyung Kim; Gueesang Lee; Luu Ngoc Do; Ngoc-Huynh Ho; Van Quan Nguyen (ICMLSC, 2018)

NFV-Based Mobile Edge Computing for Lowering Latency of 4K Video Streaming. - Linh Van Ma; Van Quan Nguyen; Jaehyung Park; Jinsul Kim (ICUFN, 2018)

Real-time event detection using recurrent neural network in social sensors. - Van Quan Nguyen; Tien Nguyen Anh; Hyung-Jeong Yang (Int. J. Distributed Sens. Networks, 2019)

Clustering-Based Deep Autoencoders for Network Anomaly Detection. - Van Quan Nguyen; Viet Hung Nguyen; Nhien-An Le-Khac; Van Loi Cao (FDSE, 2020)

Automatically Estimate Clusters in Autoencoder-based Clustering Model for Anomaly Detection. - Van Quan Nguyen; Viet Hung Nguyen; Nhien-An Le-Khac; Van Loi Cao (RIVF, 2021)

A Novel Deep Clustering Variational Auto-Encoder for Anomaly-based Network Intrusion Detection. - Van Quan Nguyen; Viet Hung Nguyen; Tuan Hao Hoang; Nathan Shone (KSE, 2022)

Particle Swarm Optimization of Deep Auto-Encoder Network Architectures for Anomaly-based Intrusion Detection Systems. - Quoc Trung Tran; Van Quan Nguyen; Thanh Long Ngo (ICCAIS, 2023)

Hybrid of Deep Auto-Encoder and Maximum Mean Discrepancy for Cyber Reconnaissance Detection. - Van Quan Nguyen; Thanh Long Ngo; Le Minh Nguyen 001; Viet Hung Nguyen; Van Van Nguyen; Thi Hang Nguyen (KSE, 2023)

A Zero-Shot Deep Learning Approach for Unknown IoT Botnet Attack Detection. - Chi Duc Luu; Van Quan Nguyen; Truong Son Pham; Nhien-An Le-Khac (RIVF, 2023)

Deep Nested Clustering Auto-Encoder for Anomaly-Based Network Intrusion Detection. - Van Quan Nguyen; Thanh Long Ngo; Le Minh Nguyen 001; Viet Hung Nguyen; Nathan Shone (RIVF, 2023)

A Cascade Methodology to Evaluate Black-Box Recognition Systems Based on a Copycat Algorithm. - Dinh Cong Nguyen; Tam Le Nhan; Mai Van Hoan; Tuong Quan Nguyen; Van Quan Nguyen; The Cuong Nguyen (VISIGRAPP (2): VISAPP, 2024)

Deep clustering hierarchical latent representation for anomaly-based cyber-attack detection. - Van Quan Nguyen; Long Thanh Ngo; Le Minh Nguyen 001; Viet Hung Nguyen; Nathan Shone (Knowl. Based Syst., 2024)

Novel deep learning-based IoT network attack detection using magnet loss optimization. - Chi Duc Luu; Viet Hung Nguyen; Van Quan Nguyen; Ngoc-Son Vu (Internet Things, 2025)

Variational Deep Clustering approaches for anomaly-based cyber-attack detection. - Van Quan Nguyen; Viet Hung Nguyen; Long Thanh Ngo; Le Minh Nguyen 001; Nhien-An Le-Khac (J. Netw. Comput. Appl., 2025)