Hu, Shell Xu

12 publications

ICCV 2025 FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization Hao Mark Chen, Shell Xu Hu, Wayne Luk, Timothy Hospedales, Hongxiang Fan

NeurIPS 2024 CLUES: Collaborative Private-Domain High-Quality Data Selection for LLMs via Training Dynamics Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Bofan Chen, Nicholas D. Lane

WACV 2024 Feed-Forward Latent Domain Adaptation Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy Hospedales

ICML 2024 Recurrent Early Exits for Federated Learning with Heterogeneous Clients Royson Lee, Javier Fernandez-Marques, Shell Xu Hu, Da Li, Stefanos Laskaridis, Łukasz Dudziak, Timothy Hospedales, Ferenc Huszár, Nicholas Donald Lane

AAAI 2024 Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning Samyadeep Basu, Shell Xu Hu, Daniela Massiceti, Soheil Feizi

ICLR 2023 Learning Where and When to Reason in Neuro-Symbolic Inference Cristina Cornelio, Jan Stuehmer, Shell Xu Hu, Timothy Hospedales

ICMLW 2022 Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy Hospedales

CVPR 2022 Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales

CVPR 2022 Self-Supervised Transformers for Unsupervised Object Discovery Using Normalized Cut Yangtao Wang, Xi Shen, Shell Xu Hu, Yuan Yuan, James L. Crowley, Dominique Vaufreydaz

CVPRW 2021 Boosting Co-Teaching with Compression Regularization for Label Noise Yingyi Chen, Xi Shen, Shell Xu Hu, Johan A. K. Suykens

NeurIPS 2021 Re-Ranking for Image Retrieval and Transductive Few-Shot Classification Xi Shen, Yang Xiao, Shell Xu Hu, Othman Sbai, Mathieu Aubry

ICLR 2020 Empirical Bayes Transductive Meta-Learning with Synthetic Gradients Shell Xu Hu, Pablo G. Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas Damianou