DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices. - Thien Duc Nguyen; Samuel Marchal; Markus Miettinen; Minh Hoang Dang; N. Asokan; Ahmad-Reza Sadeghi (CoRR, 2018)

Improving Language Model Predictions via Prompts Enriched with Knowledge Graphs. - Ryan Brate; Minh Hoang Dang; Fabian Hoppe 001; Yuan He; Albert Meroño-Peñuela; Vijay Sadashivaiah (DL4KG@ISWC, 2022)

Join Ordering of SPARQL Property Path Queries. - Julien Aimonier-Davat; Hala Skaf-Molli; Pascal Molli; Minh Hoang Dang; Brice Nédelec (ESWC, 2023)

Multi-Objective Deep Reinforcement Learning with Priority-based Socially Aware Mobile Robot Navigation Frameworks. - Minh Hoang Dang; Viet-Binh Do; Nguyen Cong Dinh; Nguyen Lan Anh; Do Nam Thang; Xuan-Tung Truong (ICCAIS, 2023)

RAW-JENA: Approximate Query Processing for SPARQL Endpoints. - Julien Aimonier-Davat; Minh Hoang Dang; Brice Nédelec; Hala Skaf-Molli; Pascal Molli (ISWC (Posters/Demos/Industry), 2023)

FedShop: A Benchmark for Testing the Scalability of SPARQL Federation Engines. - Minh Hoang Dang; Julien Aimonier-Davat; Pascal Molli; Olaf Hartig; Hala Skaf-Molli; Yotlan Le Crom (ISWC, 2023)

Schema.org: How is it used? - Minh Hoang Dang; Alban Gaignard; Hala Skaf-Molli; Pascal Molli (ISWC (Posters/Demos/Industry), 2023)

Fediscount: Shopping Online at a Federated Store Using FedUP as SPARQL Federation Engine. - Julien Aimonier-Davat; Minh Hoang Dang; Pascal Molli; Brice Nédelec; Hala Skaf-Molli (WWW (Companion Volume), 2024)

FedUP: Querying Large-Scale Federations of SPARQL Endpoints. - Julien Aimonier-Davat; Brice Nédelec; Minh Hoang Dang; Pascal Molli; Hala Skaf-Molli (WWW, 2024)

Querying the Web as a Knowledge Graph. (Requêter le Web en tant que Graphes de Connaissances). - Minh Hoang Dang (2024)