eM2: An Efficient Member Migration Algorithm for Ensuring k-Anonymity and Mitigating Information Loss. - Van Quoc Phuong Huynh; Tran Khanh Dang (Secure Data Management, 2010)

Protecting Privacy While Discovering and Maintaining Association Rules. - Tran Khanh Dang; Josef Küng; Van Quoc Phuong Huynh (NTMS, 2011)

Incremental Frequent Itemsets Mining with IPPC Tree. - Van Quoc Phuong Huynh; Josef Küng; Tran Khanh Dang (DEXA (1), 2017)

Effectiveness of Object Oriented Inheritance Metrics in Software Reusability. - Muhammad Ilyas 005; Josef Küng; Van Quoc Phuong Huynh (FDSE, 2017)

Focusing on Precision- and Trust-Propagation in Knowledge Processing Systems. - Markus Jäger 003; Jussi Nikander; Stefan Nadschläger; Van Quoc Phuong Huynh; Josef Küng (FDSE, 2017)

IFIN+: A Parallel Incremental Frequent Itemsets Mining in Shared-Memory Environment. - Van Quoc Phuong Huynh; Josef Küng; Markus Jäger 003; Tran Khanh Dang (FDSE, 2017)

Higher Performance IPPC+ Tree for Parallel Incremental Frequent Itemsets Mining. - Van Quoc Phuong Huynh; Josef Küng (FDSE, 2018)

A hybrid template protection approach using secure sketch and ANN for strong biometric key generation with revocability guarantee. - Tran Khanh Dang; Van Quoc Phuong Huynh; Hai Truong (Int. Arab J. Inf. Technol., 2018)

A Parallel Incremental Frequent Itemsets Mining IFIN+: Improvement and Extensive Evaluation. - Van Quoc Phuong Huynh; Josef Küng; Tran Khanh Dang (Trans. Large Scale Data Knowl. Centered Syst., 2019)

FPO tree and DP3 algorithm for distributed parallel Frequent Itemsets Mining. - Van Quoc Phuong Huynh; Josef Küng (Expert Syst. Appl., 2020)

Structuring Rule Sets Using Binary Decision Diagrams. - Florian Beck; Johannes Fürnkranz; Van Quoc Phuong Huynh (RuleML+RR, 2021)

Incremental Update of Locally Optimal Classification Rules. - Van Quoc Phuong Huynh; Florian Beck; Johannes Fürnkranz (DS, 2022)

On the Incremental Construction of Deep Rule Theories. - Florian Beck; Johannes Fürnkranz; Van Quoc Phuong Huynh (ITAT, 2022)

Generalizing Conjunctive and Disjunctive Rule Learning to Learning m-of-n Concepts. - Florian Beck; Johannes Fürnkranz; Van Quoc Phuong Huynh (ITAT, 2023)

Layerwise Learning of Mixed Conjunctive and Disjunctive Rule Sets. - Florian Beck; Johannes Fürnkranz; Van Quoc Phuong Huynh (RuleML+RR, 2023)

Efficient learning of large sets of locally optimal classification rules. - Van Quoc Phuong Huynh; Johannes Fürnkranz; Florian Beck (Mach. Learn., 2023)

Learning Deep Rule Concepts as Alternating Boolean Pattern Trees. - Florian Beck; Johannes Fürnkranz; Van Quoc Phuong Huynh (DS (2), 2024)

When Characteristic Rule-based Models Should be Preferred over Discriminative Ones. - Florian Beck; Johannes Fürnkranz; Van Quoc Phuong Huynh (ITAT, 2024)

Partial Pre-Post Code Tree: A Memory-Efficient Tree Structure for Conjunctive Rule Mining. - Van Quoc Phuong Huynh; Florian Beck; Johannes Fürnkranz (KDD (1), 2025)