Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification. - Yuqing Hu 001; Vincent Gripon; Stéphane Pateux (ICPR, 2020)

Exploiting Unsupervised Inputs for Accurate Few-Shot Classification. - Yuqing Hu 001; Vincent Gripon; Stéphane Pateux (CoRR, 2020)

Leveraging the Feature Distribution in Transfer-Based Few-Shot Learning. - Yuqing Hu 001; Vincent Gripon; Stéphane Pateux (ICANN (2), 2021)

Improving Classification Accuracy With Graph Filtering. - Mounia Hamidouche; Carlos Lassance; Yuqing Hu 001; Lucas Drumetz; Bastien Pasdeloup; Vincent Gripon (ICIP, 2021)

Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning. - Yuqing Hu 001; Stéphane Pateux; Vincent Gripon (Algorithms, 2022)

EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients. - Yassir Bendou; Yuqing Hu 001; Raphaël Lafargue; Giulia Lioi; Bastien Pasdeloup; Stéphane Pateux; Vincent Gripon (CoRR, 2022)

Easy - Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components. - Yassir Bendou; Yuqing Hu 001; Raphaël Lafargue; Giulia Lioi; Bastien Pasdeloup; Stéphane Pateux; Vincent Gripon (J. Imaging, 2022)

Algorithms and feature preprocessing for transductive few-shot image classification. (Algorithmes et prétraitement des caractéristiques pour la classification transductive d'images à partir de peu de données). - Yuqing Hu 001 (2022)

Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification. - Yuqing Hu 001; Stéphane Pateux; Vincent Gripon (AISTATS, 2023)