| 2026 | ACIIDS | An Efficient Hybrid Deep Learning Approach for Detecting Online Abusive Language. | Vuong M. Ngo, Cach N. Dang, Kien V. Nguyen, Mark Roantree |
| 2025 | AIME | Developing a Dyslexia Indicator Using Eye Tracking. | Kevin Cogan, Vuong M. Ngo, Mark Roantree |
| 2025 | AIME | A Graph Based Raman Spectral Processing Technique for Exosome Classification. | Vuong M. Ngo, Edward Bolger, Stan Goodwin, John O'Sullivan, Dinh Viet Cuong, Mark Roantree |
| 2025 | ICCCI | Enhancing Bagging Ensemble Regression with Data Integration for Time Series-Based Diabetes Prediction. | Vuong M. Ngo, Quang Vinh Tran, Patricia M. Kearney, Mark Roantree |
| 2024 | ICDE | Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System. | Mark Roantree, Niamh Murphy, Dinh Viet Cuong, Vuong M. Ngo |
| 2023 | HAIS | Sentiment Analysis for Vietnamese - Based Hybrid Deep Learning Models. | Cach N. Dang, Mara N. Moreno Garca, Fernando De la Prieta, Kien V. Nguyen, Vuong M. Ngo |
| 2011 | IJCNLP | Discovering Latent Concepts and Exploiting Ontological Features for Semantic Text Search. | Vuong M. Ngo, Tru Hoang Cao |
| 2008 | PRICAI | Exploring Combinations of Ontological Features and Keywords for Text Retrieval. | Tru Hoang Cao, Khanh C. Le, Vuong M. Ngo |