Léon Zheng

I am a third-year PhD student at valeo.ai and École normale supérieure de Lyon (LIP, Inria OKCHAM), under the supervision of Rémi Gribonval, Patrick Pérez, Gilles Puy and Elisa Riccietti. I graduated from École Polytechnique (X2016) and Master M2 “Mathématiques, Vision, Apprentissage” at ENS Paris-Saclay in 2020.

My current research is focused on sparse matrix factorization, butterfly factorization, neural network compression with sparsity, parameter-efficient fine-tuning, and self-supervised learning for image representations.

News:

• 2024/05/29: I will defend my PhD thesis about “Data frugality and computational efficiency in deep learning” at ENS de Lyon.
• 2023/09: I will present our work on butterfly factorization with unknown permutations at GRETSI 2023.
• 2023/05: I will present our work on butterfly factorization at Université de Mons.
• 2023/01: Our paper on self-supervised learning with rotation-invariant kernels has been accepted at ICLR 2023.
• 2022/11: I will present our work on butterfly matrix factorization during the minisymposium “Butterfly factorizations: Algorithms, applications, and theory” at SIAM CSE’23.