Ngoc Luyen Le, Marie-Hélène Abel, Bertrand Laforge, From Prompts to Context: An Ontology-Driven Framework for Human-Generative AI Collaboration, Information Systems Frontiers, 2026.

Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou, Development of ontological knowledge bases by leveraging large language models, International Journal of Knowledge Management Studies, Volume 17, article number 2, 2026.

Ngoc Luyen Le, Marie-Hélène Abel, Integrating context and criteria: a multi-head attention-based approach for multi-criteria group recommender systems, World Wide Web, Volume 28, article number 50, 2025.

Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou, Enhancing Context‐Aware Recommender Systems Through Deep Feature Interaction Learning, Journal of Multi-Criteria Decision Analysis, 2025.

Jinfeng Zhong, Ngoc Luyen Le, Elsa Negre, Marie-Hélène Abel, Ontology-based crisis simulation system for population sheltering management, SIMULATION, 100(4):379-399, 2023.

Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou, Designing a User Contextual Profile Ontology: A Focus on the Vehicle Sales Domain, Lecture Notes in Business Information Processing, vol.486, Springer, 2024.

Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou, A Personalized Recommender System Based-on Knowledge Graph Embeddings, Lecture Notes on Data Engineering and Communications Technologies, vol. 164, Springer, 2023.

Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou, Improving Semantic Similarity Measure Within a Recommender System Based-on RDF Graphs, Information Technology and Systems, Lecture Notes in Networks and Systems, vol. 691, pp. 463–474, 2023.

Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou, Towards an ontology-based recommender system for the vehicle sales area, Progresses in Artificial Intelligence & Robotics: Algorithms & Applications, Lecture Notes in Networks and Systems, vol. 441, pp. 126-136, 2022.

Ngoc Luyen Le, Marie-Hélène Abel, Bertrand Laforge, From Learning Resources to Competencies: LLM-Based Tagging with Evidence and Graph Constraints, 27th International Conference on AI in Education, Jun 2026, Seoul, South Korea.

Ngoc Luyen Le, Marie-Hélène Abel, Bertrand Laforge, When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs, 22nd International Conference on Intelligent Tutoring Systems, Jun 2026, Pafos, Cyprus.

Ngoc Luyen Le, Marie-Hélène Abel, Bertrand Laforge, KG-First, LLM-Fallback: A Hybrid Microservice for Grounded Skill Search and Explanation, IEEE 29th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2026), May 2026, Fuzhou, China.

Mohammed Oussama Seddini, Mohamed Ez-Zaouia, Ngoc Luyen Le, Iza Marfisi, MRGEN: A Conceptual Framework for LLM-Powered Mixed Reality Authoring Tools for Education, Mobile Learning 2026 International Conference, Mar 2026, Zagreb, Croatia.

Ngoc Luyen Le, Marie-Hélène Abel, Automated Skill Decomposition Meets Expert Ontologies: Bridging the Granularity Gap with LLMs, International Conference on Management of Digital EcoSystems (MEDES), Nov 2025, Ho Chi Minh City, Viet Nam.

Ngoc Luyen Le, Marie-Hélène Abel, How Well Do LLMs Predict Prerequisite Skills? Zero-Shot Comparison to Expert-Defined Concepts, IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct 2025, Vienna, Austria.

Ngoc Luyen Le, Marie-Hélène Abel, Bertrand Laforge, Modeling and Visualizing Competency Progression: A Semantic Integration of Pedagogical Graphs and Generative AI, International Meeting for Innovative Pedagogy (IMIP25), April 2025, Compiègne, France.

Ngoc Luyen Le, Marie-Hélène Abel, Joint Group Profiling and Recommendation via Deep Neural Network-based Multi-Task Learning, IEEE 28th International Conference on Computer Supported Cooperative Work in Design, May 2025, Compiègne, France.

Ngoc Luyen Le, Marie-Hélène Abel, Enhancing Recommender Systems Using Textual Embeddings from Pre-trained Language Models, 8th International Conference on Information Technology & Systems (ICITS), 2025, Mexico City, Mexico.

Ngoc Luyen Le, Marie-Hélène Abel, Context-Aware Multi-Criteria Recommender Systems Using Variable Selection Networks, 11th International Conference on Advanced Intelligent Systems and Informatics (AISI), 2025, Port Said, Egypt.

Ngoc Luyen Le, Marie-Hélène Abel, From Individual to Group: Developing a Context-Aware Multi-Criteria Group Recommender System, 16th International Conference on Management of Digital EcoSystems (MEDES), 2024, Naples, Italy.

Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou, Exploring Weighted Property Approaches for RDF Graph Similarity Measure, 27th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2024, Tianjin, China.

Ngoc Luyen Le, Elsa Negre, Marie-Hélène Abel, Recognizing Similar Crises through the Application of Ontology-based Knowledge Mining, 57th Hawaii International Conference on System Sciences (HICSS), 2024, Oahu, Hawaii.

Ngoc Luyen Le, Jinfeng Zhong, Elsa Negre, Marie-Hélène Abel, CORec-Cri: How collaborative and social technologies can help to contextualize crises?, IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023, Oahu, Hawaii.

Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou, Combining Embedding-Based and Semantic-Based Models for Post-hoc Explanations in Recommender Systems, IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023, Oahu, Hawaii.

Ngoc Luyen Le, Jinfeng Zhong, Elsa Negre, Marie-Hélène Abel, Constraint-based recommender system for crisis management simulations, 56th Hawaii International Conference on System Sciences (HICSS), 2023, Maui, Hawaii.

Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou, A Constraint-based Recommender System via RDF Knowledge Graphs, IEEE 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2023, Rio de Janeiro, Brazil.

Ngoc Luyen Le, Yannis Haralambous, Philippe Lenca, Towards a DRS Parsing Framework for French, 6th International Conference on Social Networks Analysis, Management and Security (SNAMS), 2019, Granada, Spain.

Ngoc Luyen Le, Yannis Haralambous, CCG Supertagging Using Morphological and Dependency Syntax Information, 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING), 2019, La Rochelle, France.

Ngoc Luyen Le, Anne Tireau, Aravind Venkatesan, Pascal Neveu, Pierre Larmande, Development of a knowledge system for Big Data: Case study to plant phenotyping data, 6th International Conference on Web Intelligence, Mining and Semantics (WIMS'16), 2016, Nimes, France.

Ngoc Luyen Le, Marie-Hélène Abel, Bertrand Laforge, Vers un cadre ontologique pour la gestion des compétences: à des fins de formation, de recrutement, de métier, ou de recherches associées, 36es Journées francophones d'Ingénierie des Connaissances (IC 2025) @ PFIA, 2025, Dijon, France.

Ngoc Luyen Le, Gildas Tagny Ngompé, Extraction de relations multi-étiquettes en utilisant des modèles pré-entraînés et des couches de Transformer, Atelier TextMine 2025 @ EGC, 2025, Strasbourg, France.

Jinfeng Zhong, Ngoc Luyen Le, Elsa Negre, Marie-Hélène Abel, Système de simulations de crises, basé sur une ontologie, pour la mise à l'abri des populations, 42ème édition INFORSID, 2024, Nancy, France.

Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou, Construction d'un système de recommandation basé sur des contraintes via des graphes de connaissances, 34es Journées francophones d'Ingénierie des Connaissances (IC 2023) @ PFIA, 2023, Strasbourg, France.

Ngoc Luyen Le, Jinfeng Zhong, Elsa Negre, Marie-Hélène Abel, Système de recommandations basé sur les contraintes pour les simulations de gestion de crise, 34es Journées francophones d'Ingénierie des Connaissances (IC 2023) @ PFIA, 2023, Strasbourg, France.

Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou, Apport des ontologies pour le calcul de la similarité sémantique au sein d'un système de recommandation, 33es Journées francophones d'Ingénierie des Connaissances (IC 2022) @ PFIA, 2022, Saint-Étienne, France.

Ngoc Luyen Le, Yannis Haralambous, Philippe Lenca, Détection du Déficit d'Information dans un Fil de Discussion, Séminaire du Département d'Informatique de l'IMT Atlantique, 2018, L'Aberwrac'h, France.

Ngoc Luyen Le, Stéphane Jouannic, Pascal Gantet, Pierre Larmande, Development of a generic indexing tool to optimize the use of biological data, Journées Ouvertes Biologie Informatique Mathématiques (JOBIM'15), 2015, Clermont-Ferrand, France.

Ngoc Luyen Le, French Language DRS Parsing, PhD thesis, IMT Atlantique, Brest, defended September 15, 2020. Slides

Ngoc Luyen Le, Développement d'un système connaissances pour les big data: application aux données de phénotypage chez le riz (O.Sativa), Master thesis, IFI, Ha Noi, defended November 30, 2015. Slides