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ORCIDLu Gan 0004
Person information
- affiliation: GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany
- affiliation (former): INSA Lyon, Villeurbanne, France
- affiliation (former, PhD 2022): University of Lyon, France
Other persons with the same name
- Lu Gan (aka: Gan Lu) — disambiguation page
- Lu Gan 0001
![[0000-0002-9220-0792]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9220-0792")
— Xidian University, Remote Sensing, Image Processing & Fusion Group, Xi'an, China - Lu Gan 0002 — Brunel University, Department of Electronic and Electrical Engineering, London, UK
- Lu Gan 0003 — University of Electronic Science and Technology of China, School of Electronic Engineering, Center for Cyber Security, Chengdu, China
- Lu Gan 0005 (aka: Gan Lu 0005) — Brunel University, College of Engineering, Design and Physical Science, London, UK
- Lu Gan 0006 — California Institute of Technology, Pasadena, CA, USA
Other persons with a similar name
- Gan Lu 0007 — University of Central Lancashire, Applied Digital Signal and Image Processing Research Centre, Preston, UK
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2020 – today
- 2025
[i2]Lu Gan, Martin Blum, Danilo Dessì, Brigitte Mathiak, Ralf Schenkel, Stefan Dietze:
Hidden Entity Detection from GitHub Leveraging Large Language Models. CoRR abs/2501.04455 (2025)- 2023
- [c4]Wolfgang Otto, Matthäus Zloch, Lu Gan, Saurav Karmakar, Stefan Dietze:
GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets. EMNLP (Findings) 2023: 8166-8176 - [i1]Wolfgang Otto, Matthäus Zloch, Lu Gan, Saurav Karmakar, Stefan Dietze:
GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets. CoRR abs/2311.09860 (2023) - 2022
- [b1]Lu Gan:
Towards diversified recommendations. (Vers des systèmes de recommandation diversifiés). University of Lyon, France, 2022 - 2021
- [c3]Lu Gan, Diana Nurbakova, Léa Laporte, Sylvie Calabretto:
Recommandation diversifiée via des processus ponctuels déterminantaux sur des graphes de connaissances. EGC 2021: 365-372 - [c2]Lu Gan, Diana Nurbakova, Léa Laporte, Sylvie Calabretto:
EMDKG: Improving Accuracy-Diversity Trade-Off in Recommendation with EM-based Model and Knowledge Graph Embedding. WI/IAT 2021: 17-24 - 2020
- [c1]Lu Gan, Diana Nurbakova, Léa Laporte, Sylvie Calabretto:
Enhancing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs. SIGIR 2020: 2001-2004
Coauthor Index
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