Hu, Shell Xu

14 publications

ICLR 2026 Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods Wanru Zhao, Yihong Chen, Yuzhi Tang, Wentao Ma, Shengchao Hu, Shell Xu Hu, Alex Iacob, Abhinav Mehrotra, Nicholas D. Lane

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

CVPR 2019 Variational Information Distillation for Knowledge Transfer Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D. Lawrence, Zhenwen Dai