Currently, Long is a joint PhD student (supported by China Scholarship Council) in Airsea team, INRIA Grenoble under the supervision of Arthur Vidard, Francois Le Dimet and Jianwei Ma. His research interests include data assimilation with curve evolution model and adaptive image assimilation based on structure learning-type sparsity regularization, applied to oceanic pollutant tracking (e.g. oil spill).
Publications:
2. L. Li, A. Vidard, F. Le Dimet, and J. Ma, Topological data assimilation using Wasserstein distance, Inverse Problems, 35, 015006, 2019.
1. L. Li, F. Le Dimet, J. Ma, and A. Vidard, A level-set-based image assimilation method: Potential applications for predicting the movement of oil spills, IEEE Transactions on Geoscience and Remote Sensing, 55(11), 6330-6343, 2017.
Poster:
1. L. Li, A. Vidard, F. Le Dimet, and J. Ma, Adaptive image assimilation for 2D Velocity Reconstruction, AOGS 16th Annual Meeting, July 2019, Singapore.
Contact:
email: 16B912015@stu.hit.edu.cn
address:
Office 196
IMAG Building
700 Avenue Centrale
Domaine Universitaire
38401 St Martin d’Hères
INP
Inria
LJK
UGA