Efficient Prediction of Discharge and Water Levels Using Ensemble Learning and Singular-Spectrum Analysis-Based Denoising. - Anh Duy Nguyen; Viet Hung Vu; Minh Hieu Nguyen 003; Duc Viet Hoang; Thanh-Hung Nguyen; Kien Nguyen 002; Phi Le Nguyen (IEA/AIE (2), 2021)

PM2.5 Prediction Using Genetic Algorithm-Based Feature Selection and Encoder-Decoder Model. - Minh Hieu Nguyen 003; Phi-Le Nguyen; Kien Nguyen 002; Van An Le; Thanh-Hung Nguyen; Yusheng Ji (IEEE Access, 2021)

A Lightweight and Efficient GA-Based Model-Agnostic Feature Selection Scheme for Time Series Forecasting. - Minh Hieu Nguyen 003; Viet Huy Nguyen; Thanh Trung Huynh; Thanh Hung Nguyen; Quoc Viet Hung Nguyen; Phi Le Nguyen (ACIIDS (2), 2022)

Social Multi-role Discovering with Hypergraph Embedding for Location-Based Social Networks. - Minh Tam Pham; Thanh Dat Hoang; Minh Hieu Nguyen 003; Viet Hung Vu; Thanh Trung Huynh; Quyet-Thang Huynh (ACIIDS (1), 2022)

Model-agnostic and diverse explanations for streaming rumour graphs. - Thanh Tam Nguyen; Thanh Cong Phan; Minh Hieu Nguyen 003; Matthias Weidlich 001; Hongzhi Yin; Jun Jo 001; Quoc Viet Hung Nguyen (Knowl. Based Syst., 2022)

On the Global Maximization of Network Lifetime in Wireless Rechargeable Sensor Networks. - La Van Quan; Minh Hieu Nguyen 003; Thanh Hung Nguyen; Kien Nguyen 002; Phi Le Nguyen (ACM Trans. Sens. Networks, 2022)

Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction. - Thanh Trung Huynh; Minh Hieu Nguyen 003; Thanh Tam Nguyen; Phi Le Nguyen; Matthias Weidlich 001; Quoc Viet Hung Nguyen; Karl Aberer (WSDM, 2023)

Towards Comprehensive Innovation Landscape: Technology Retrieval Meets Large Language Models. - Hien Thu Pham; Minh Hieu Nguyen 003; Hiep Minh Ha; Ngoc Quang Hung Le; Jun Jo 001 (ADC, 2024)

Multi-task Learning of Heterogeneous Hypergraph Representations in LBSNs. - Dong Duc Anh Nguyen; Minh Hieu Nguyen 003; Phi Le Nguyen; Jun Jo 001; Hongzhi Yin; Thanh Tam Nguyen (ADMA (3), 2024)

FedCert: Federated Accuracy Certification. - Minh Hieu Nguyen 003; Huu Tien Nguyen; Trung Thanh Nguyen 006; Manh Duong Nguyen; Trong Nghia Hoang; Truong Thao Nguyen; Phi Le Nguyen (NCA, 2024)

Streaming Counterfactual Subset Selection with Bias Awareness. - Minh Hieu Nguyen 003; Viet Hung Doan; Anh Tuan Nguyen; Jun Jo 001; Quoc Viet Hung Nguyen (ACIIDS (Companion 3), 2025)

On-device diagnostic recommendation with heterogeneous federated BlockNets. - Minh Hieu Nguyen 003; Thanh Trung Huynh; Thanh Toan Nguyen; Phi Le Nguyen; Hien Thu Pham; Jun Jo 001; Thanh Tam Nguyen (Sci. China Inf. Sci., 2025)

Technology Mapping with Large Language Models. - Minh Hieu Nguyen 003; Hien Thu Pham; Hiep Minh Ha; Ngoc Quang Hung Le; Jun Jo 001 (CoRR, 2025)

Model-Free Counterfactual Subset Selection at Scale. - Minh Hieu Nguyen 003; Viet Hung Doan; Anh Tuan Nguyen; Jun Jo 001; Quoc Viet Hung Nguyen (CoRR, 2025)

LUMOS: LLM-Driven Contrastive Federated Sequential Recommendation. - Thi Minh Chau Nguyen; Minh Hieu Nguyen 003; Duc Anh Nguyen; Xuan Huong Tran; Thanh Trung Huynh; Quoc Viet Hung Nguyen (ACIIDS (Companion 2), 2026)

Handling data sparsity and model poisoning attacks in federated sequential recommender systems. - Minh Hieu Nguyen 003; Thanh Tam Nguyen; Jun Jo 001; Duc Anh Nguyen; Hongzhi Yin; Quoc Viet Hung Nguyen (Knowl. Based Syst., 2026)

Empowering Contrastive Federated Sequential Recommendation with LLMs. - Thi Minh Chau Nguyen; Minh Hieu Nguyen 003; Duc Anh Nguyen; Xuan Huong Tran; Thanh Trung Huynh; Quoc Viet Hung Nguyen (CoRR, 2026)