Enhancing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs. - Lu Gan 004; Diana Nurbakova; Léa Laporte; Sylvie Calabretto (SIGIR, 2020)

Recommandation diversifiée via des processus ponctuels déterminantaux sur des graphes de connaissances. - Lu Gan 004; Diana Nurbakova; Léa Laporte; Sylvie Calabretto (EGC, 2021)

EMDKG: Improving Accuracy-Diversity Trade-Off in Recommendation with EM-based Model and Knowledge Graph Embedding. - Lu Gan 004; Diana Nurbakova; Léa Laporte; Sylvie Calabretto (WI/IAT, 2021)

Towards diversified recommendations. (Vers des systèmes de recommandation diversifiés). - Lu Gan 004 (2022)

GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets. - Wolfgang Otto 002; Matthäus Zloch; Lu Gan 004; Saurav Karmakar; Stefan Dietze (EMNLP (Findings), 2023)

Hidden Entity Detection from GitHub Leveraging Large Language Models. - Lu Gan 004; Martin Blum; Danilo Dessì; Brigitte Mathiak; Ralf Schenkel; Stefan Dietze (CoRR, 2025)