Vincent NGUYEN
Since September 2021, I have been an associate professor at IUT Orléans, University of Orléans, and a member of the CA research team at LIFO. I served as director of studies for second-year computer science students from 2023 to 2026.
I received my PhD in computer science from La Rochelle Université in 2011. My earlier research focused mainly on computer vision and document analysis.
My current research includes machine learning with limited labeled data, continual and federated learning, and model robustness.
My research focuses on three related directions:
- Learning with limited labels: weakly supervised, semi-supervised, self-supervised, and positive-unlabeled learning.
- Representation learning and adaptation: continual learning, representation drift, and adaptation to new tasks and data distributions.
- Robustness and security: model reliability under distribution shifts, including backdoor attacks and defenses in federated learning.
Research projects
- 2026–2029: ANR EnACA. LIFO scientific lead. Comic image analysis and domain adaptation.
- 2023–2026: CIFRE with IMPACT. Scientific lead. Collaborative 3D reconstruction.
- 2023–2026: OPTIMEDIAS. Project member. AI for healthcare data.
- 2022–2025: ANR ROV-Chasseur. LIFO scientific lead. Weakly supervised learning for underwater robotic vision.
- 2022–2023: ACHS with USTH, Vietnam. Scientific lead. Weakly supervised learning and image analysis.
- 2015–2016: eDuc. Technology transfer on lecture video indexing, funded by SATT Grand Centre.
Research supervision
PhD students
- Trung-Anh Dang (since 2023). Continual learning, co-supervised with Christel Vrain.
- Thi-Hai-Yen Vu (since 2023). Semi-supervised and positive-unlabeled learning for mineral prospectivity mapping, co-supervised with Christel Vrain, Thi-Bich-Hanh Dao and Hugo Breuillard.
- Jean-Daniel de Ambrogi (since 2023). Efficient 3D reconstruction and navigation, CIFRE with IMPACT, co-supervised with Aladine Chetouani.
- Huy-Thong Bui (since 2024). Federated learning security, France Excellence Eiffel scholarship, co-supervised with Ngoc-Son Vu.
- Alexandre Jaud (since 2026). Comic narration using evolving knowledge graphs, co-supervised with Jean-Christophe Burie (La Rochelle Université).
Postdoctoral researchers
- Hoàng-Ân Lê (since 2026). Domain adaptation for instance segmentation, ANR EnACA.
Former postdoctoral researchers
- Étienne Lehembre (2025–2026). Groundwater time-series prediction, JUNON.
- Rim Rahali (2023–2025). Semi-supervised underwater object detection, ANR ROV-Chasseur.
past announcements:
10/2026: Our paper on rehearsal-free continual learning with a single shared prompt is accepted at WACV 2027.
09/2026: The University of Orléans and the Posts and Telecommunications Institute of Technology (PTIT, Vietnam) signed an academic cooperation agreement on September 11, 2026. I helped initiate and coordinate this partnership to foster joint research, academic exchanges, doctoral co-supervision, and the development of a potential double-degree Master’s program.
09/2026: Our paper CGS-SLAM: Collaborative Gaussian Splatting based SLAM for Multi-Agent Reconstruction was presented at the 3rd Workshop on Neural SLAM (NeuSLAM), ECCV 2026.
05/2026: 1 article on PU learning is accepted at ECML PKDD 2026.
03/2026: 1 article on geometric and structure constraints for continual learning is accepted in Machine Learning journal.
01/2026: 1 article on knowledge distillation for lightweight LLMs in sentiment analysis is accepted in LREC 2026.
12/2025: 1 article on semi-supervised object detection accepted in the journal Multimedia Tools and Applications.
11/2025: Recipient of the RIPEC bonus for excellence in academic activities and professional commitment.
10/2025: Our research on water resources, particularly groundwater time-series prediction using physics-informed neural networks (PINNs), has appeared in 9e édition de la Réunion des Sciences de la Terre 2025 and in Congrès Eau et IA 2026
09/2025: Project ANR PRC EnACA: Looking for 2 interns in Computer Vision and Machine Learning, 1 experienced researcher on domain adaptation segmentation link.
08/2025: Our project ANR PRC EnACA is accepted.
02/2025: 1 article on efficient models accepted in the journal Pattern Analysis and Applications.
01/2025: 1 paper on semi-supervised learning accepted at VISAPP 2025.
11/2024: 1 paper on PU learning accepted at SAC 2025.
10/2024: 1 paper on continual learning accepted at WACV 2025.