Lee, Royson

11 publications

ICLRW 2025 Model Diffusion for Certifiable Few-Shot Transfer Learning Fady Rezk, Royson Lee, Henry Gouk, Timothy Hospedales, Minyoung Kim

ICLR 2025 Progressive Mixed-Precision Decoding for Efficient LLM Inference Hao Mark Chen, Fuwen Tan, Alexandros Kouris, Royson Lee, Hongxiang Fan, Stylianos Venieris

NeurIPS 2024 A Bayesian Approach to Data Point Selection Xinnuo Xu, Minyoung Kim, Royson Lee, Brais Martinez, Timothy Hospedales

ICLR 2024 Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane

WACV 2024 Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation Royson Lee, Rui Li, Stylianos Venieris, Timothy Hospedales, Ferenc Huszár, Nicholas D. Lane

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

NeurIPSW 2023 Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane

NeurIPS 2023 FedL2P: Federated Learning to Personalize Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy Hospedales, Ferenc Huszar, Nicholas Lane

ICCVW 2021 Temporal Kernel Consistency for Blind Video Super-Resolution Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen

NeurIPS 2020 BRP-NAS: Prediction-Based NAS Using GCNs Lukasz Dudziak, Thomas Chau, Mohamed Abdelfattah, Royson Lee, Hyeji Kim, Nicholas Lane

ECCV 2020 Journey Towards Tiny Perceptual Super-Resolution Royson Lee, Łukasz Dudziak, Mohamed Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane