Shell Xu Hu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
10
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISCA | Efficient 3D Gaussian Splatting with Axis-Shared Rasterization and Order-independent Transmittance. | Zhican Wang, Guanghui He, Lingjun Gao, Dantong Liu, Shell Xu Hu, Chen Zhang, Zhuoran Song, Nicholas D. Lane, Hongxiang Fan |
| 2025 | ICCV | FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization. | Hao Mark Chen, Shell Xu Hu, Wayne Luk, Timothy M. Hospedales, Hongxiang Fan |
| 2024 | AAAI | Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning. | Samyadeep Basu, Shell Xu Hu, Daniela Massiceti, Soheil Feizi |
| 2024 | EMNLP | Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP. | Samyadeep Basu, Shell Xu Hu, Maziar Sanjabi, Daniela Massiceti, Soheil Feizi |
| 2024 | EMNLP | MobileQuant: Mobile-friendly Quantization for On-device Language Models. | Fuwen Tan, Royson Lee, Lukasz Dudziak, Shell Xu Hu, Sourav Bhattacharya, Timothy M. Hospedales, Georgios Tzimiropoulos, Brais Martnez |
| 2024 | ICML | Recurrent Early Exits for Federated Learning with Heterogeneous Clients. | Royson Lee, Javier Fernndez-Marqus, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszr, Nicholas Donald Lane |
| 2024 | WACV | Feed-Forward Latent Domain Adaptation. | Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales |
| 2023 | ICLR | Learning where and when to reason in neuro-symbolic inference. | Cristina Cornelio, Jan Stuehmer, Shell Xu Hu, Timothy M. Hospedales |
| 2023 | NeSy | Learning Where and When to Reason in Neuro-Symbolic Inference. | Cristina Cornelio, Jan Sthmer, Shell Xu Hu, Timothy M. Hospedales |
| 2022 | CVPR | Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. | Shell Xu Hu, Da Li, Jan Sthmer, Minyoung Kim, Timothy M. Hospedales |
| 2022 | CVPR | Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut. | Yangtao Wang, Xi Shen, Shell Xu Hu, Yuan Yuan, James L. Crowley, Dominique Vaufreydaz |
| 2022 | ICML | Fisher SAM: Information Geometry and Sharpness Aware Minimisation. | Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales |
| 2021 | CVPR | Boosting Co-Teaching With Compression Regularization for Label Noise. | Yingyi Chen, Xi Shen, Shell Xu Hu, Johan A. K. Suykens |
| 2021 | Interspeech | AvaTr: One-Shot Speaker Extraction with Transformers. | Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias |
| 2020 | ICLR | Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. | Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas C. Damianou |
| 2019 | CVPR | Variational Information Distillation for Knowledge Transfer. | Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai |