| 2026 | ECIR | Enhancing Job Search Effectiveness with LLM-Powered Context-Aware Query Reformulation. | Quang Hieu Vu, Behnaz Nojavanasghari, Frank Yang, Andrew Rabinovich |
| 2024 | FedCSIS | Exploring Stability and Performance of hybrid Gradient Boosting Classification and Regression Models in Sectors Stock Trend Prediction: A Tale of Preliminary Success and Final Challenge. | Ming Liu, Ling Cen, Dymitr Ruta, Quang Hieu Vu |
| 2024 | FedCSIS | FedCSIS 2024 Data Science Challenge: Predicting Stock Trends by a Multi-Dimensional Approach. | Quang Hieu Vu, Dymitr Ruta, Ling Cen, Ming Liu |
| 2022 | FedCSIS | Diversified gradient boosting ensembles for prediction of the cost of forwarding contracts. | Dymitr Ruta, Ming Liu, Ling Cen, Quang Hieu Vu |
| 2022 | FedCSIS | Key Factors to Consider when Predicting the Costs of Forwarding Contracts. | Quang Hieu Vu, Ling Cen, Dymitr Ruta, Ming Liu |
| 2022 | ICAISC | Stacked Ensemble of Convolutional Neural Networks for Follicles Detection on Scalp Images. | Dymitr Ruta, Ling Cen, Andrzej Ruta, Quang Hieu Vu |
| 2020 | FedCSIS | Deep Bi-Directional LSTM Networks for Device Workload Forecasting. | Dymitr Ruta, Ling Cen, Quang Hieu Vu |
| 2019 | FedCSIS | Efficient Support Vector Regression with Reduced Training Data. | Ling Cen, Quang Hieu Vu, Dymitr Ruta |
| 2019 | FedCSIS | Greedy Incremental Support Vector Regression. | Dymitr Ruta, Ling Cen, Quang Hieu Vu |
| 2018 | FedCSIS | Regression Networks for Robust Win-rates Predictions of AI Gaming Bots. | Ling Cen, Andrzej Ruta, Dymitr Ruta, Quang Hieu Vu |
| 2018 | FedCSIS | Predicting Win-rates of Hearthstone Decks: Models and Features that Won AAIA'2018 Data Mining Challenge. | Quang Hieu Vu, Dymitr Ruta, Andrzej Ruta, Ling Cen |
| 2017 | FedCSIS | An ensemble model with hierarchical decomposition and aggregation for highly scalable and robust classification. | Quang Hieu Vu, Dymitr Ruta, Ling Cen |
| 2012 | AINA | DEMODS: A Description Model for Data-as-a-Service. | Quang Hieu Vu, Tran Vu Pham, Hong Linh Truong, Schahram Dustdar, Rasool Asal |
| 2012 | CloudCom | Harnessing the power of P2P technology to build PC | Tung Nguyen, Quang Hieu Vu, Rasool Asal |
| 2012 | SERVICES | Legacy Application Migration to the Cloud: Practicability and Methodology. | Quang Hieu Vu, Rasool Asal |
| 2011 | ICDE | SQPR: Stream query planning with reuse. | Evangelia Kalyvianaki, Wolfram Wiesemann, Quang Hieu Vu, Daniel Kuhn, Peter R. Pietzuch |
| 2009 | EuroPar | SiMPSON: Efficient Similarity Search in Metric Spaces over P2P Structured Overlay Networks. | Quang Hieu Vu, Mihai Lupu, Sai Wu |
| 2009 | ICDE | Adaptive Multi-join Query Processing in PDBMS. | Sai Wu, Quang Hieu Vu, Jianzhong Li, Kian-Lee Tan |
| 2009 | NSS | Harnessing the Power of P2P Systems for Fast Attack Signature Validation. | Spyros Antonatos, Quang Hieu Vu |
| 2008 | ICDE | COSTA: Adaptive Indexing for Terms in a Large-scale Distributed System. | Aoying Zhou, Rong Zhang, Quang Hieu Vu, Weining Qian |
| 2008 | SIGMOD | A graph method for keyword-based selection of the top-K databases. | Quang Hieu Vu, Beng Chin Ooi, Dimitris Papadias, Anthony K. H. Tung |
| 2006 | ICDE | VBI-Tree: A Peer-to-Peer Framework for Supporting Multi-Dimensional Indexing Schemes. | H. V. Jagadish, Beng Chin Ooi, Quang Hieu Vu, Rong Zhang, Aoying Zhou |
| 2006 | SIGMOD | Speeding up search in peer-to-peer networks with a multi-way tree structure. | H. V. Jagadish, Beng Chin Ooi, Kian-Lee Tan, Quang Hieu Vu, Rong Zhang |
| 2005 | VLDB | BATON: A Balanced Tree Structure for Peer-to-Peer Networks. | H. V. Jagadish, Beng Chin Ooi, Quang Hieu Vu |