Royson Lee

41 papers A* 11A 2Journal 23Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dynamic Expert Sharing: Decoupling Memory from Parallelism in Mixture-of-Experts Diffusion LLMs.
CoRR
Hao Mark Chen, Zhiwen Mo, Royson Lee, Qianzhou Wang, Da Li, Shell Xu Hu, Wayne Luk, Timothy M. Hospedales, Hongxiang Fan
2026 A* conf
FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs.
AAAI
Royson Lee, Minyoung Kim, Fady Rezk, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales
2025 J jnl
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages.
CoRR
Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas D. Lane
2025 J jnl
FedP
CoRR
Royson Lee, Minyoung Kim, Fady Rezk, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales
2025 J jnl
Model Diffusion for Certifiable Few-shot Transfer Learning.
CoRR
Fady Rezk, Royson Lee, Henry Gouk, Timothy M. Hospedales, Minyoung Kim
2025 — conf
Photon: Federated LLM Pre-Training.
MLSys
Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Wanru Zhao, Dongqi Cai, Zexi Li, Xinchi Qiu, Nicholas D. Lane
2025 A* conf
Progressive Mixed-Precision Decoding for Efficient LLM Inference.
ICLR
Hao Mark Chen, Fuwen Tan, Alexandros Kouris, Royson Lee, Hongxiang Fan, Stylianos I. Venieris
2024 A* conf
A Bayesian Approach to Data Point Selection.
NeurIPS
Xinnuo Xu, Minyoung Kim, Royson Lee, Brais Martínez, Timothy M. Hospedales
2024 J jnl
A Bayesian Approach to Data Point Selection.
CoRR
Xinnuo Xu, Minyoung Kim, Royson Lee, Brais Martínez, Timothy M. Hospedales
2024 A* conf
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages.
ICLR
Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane
2024 A conf
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation.
WACV
Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2024 — conf
MobileQuant: Mobile-friendly Quantization for On-device Language Models.
EMNLP (Findings)
Fuwen Tan, Royson Lee, Lukasz Dudziak, Shell Xu Hu, Sourav Bhattacharya, Timothy M. Hospedales, Georgios Tzimiropoulos, Brais Martínez
2024 J jnl
MobileQuant: Mobile-friendly Quantization for On-device Language Models.
CoRR
Fuwen Tan, Royson Lee, Lukasz Dudziak, Shell Xu Hu, Sourav Bhattacharya, Timothy M. Hospedales, Georgios Tzimiropoulos, Brais Martínez
2024 J jnl
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution.
IEEE Trans. Mob. Comput.
Stylianos I. Venieris, Mário Almeida, Royson Lee, Nicholas D. Lane
2024 J jnl
Photon: Federated LLM Pre-Training.
CoRR
Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Dongqi Cai, Zexi Li, Wanru Zhao, Xinchi Qiu, Nicholas D. Lane
2024 J jnl
Progressive Mixed-Precision Decoding for Efficient LLM Inference.
CoRR
Hao Mark Chen, Fuwen Tan, Alexandros Kouris, Royson Lee, Hongxiang Fan, Stylianos I. Venieris
2024 A* conf
Recurrent Early Exits for Federated Learning with Heterogeneous Clients.
ICML
Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas Donald Lane
2024 J jnl
Recurrent Early Exits for Federated Learning with Heterogeneous Clients.
CoRR
Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2023 A* conf
FedL2P: Federated Learning to Personalize.
NeurIPS
Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszar, Nicholas D. Lane
2023 J jnl
FedL2P: Federated Learning to Personalize.
CoRR
Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2023 J jnl
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor.
CoRR
Hrushikesh Loya, Lukasz Dudziak, Abhinav Mehrotra, Royson Lee, Javier Fernández-Marqués, Nicholas D. Lane, Hongkai Wen
2022 A* conf
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design.
MICRO
Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
2022 J jnl
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design.
CoRR
Hongxiang Fan, Thomas Chun-Pong Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
2022 J jnl
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions.
ACM Comput. Surv.
Royson Lee, Stylianos I. Venieris, Nicholas D. Lane
2022 J jnl
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation.
CoRR
Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2022 J jnl
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution.
CoRR
Stylianos I. Venieris, Mário Almeida, Royson Lee, Nicholas D. Lane
2021 J jnl
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions.
CoRR
Royson Lee, Stylianos I. Venieris, Nicholas D. Lane
2021 — conf
Temporal Kernel Consistency for Blind Video Super-Resolution.
ICCVW
Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen
2021 J jnl
Temporal Kernel Consistency for Blind Video Super-Resolution.
CoRR
Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen
2020 A* conf
BRP-NAS: Prediction-based NAS using GCNs.
NeurIPS
Lukasz Dudziak, Thomas Chau, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane
2020 J jnl
BRP-NAS: Prediction-based NAS using GCNs.
CoRR
Thomas Chau, Lukasz Dudziak, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane
2020 A* conf
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator.
DAC
Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
2020 J jnl
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator.
CoRR
Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
2020 A conf
Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search.
FPGA
Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
2020 — conf
Journey Towards Tiny Perceptual Super-Resolution.
ECCV (26)
Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
2020 J jnl
Journey Towards Tiny Perceptual Super-Resolution.
CoRR
Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
2020 — conf
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions.
DistributedML@CoNEXT
Royson Lee, Stylianos I. Venieris, Nicholas D. Lane
2020 J jnl
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions.
CoRR
Royson Lee, Stylianos I. Venieris, Nicholas D. Lane
2019 A* conf
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors.
MobiCom
Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane
2019 J jnl
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors.
CoRR
Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane
2019 A* conf
Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors.
MobiCom
Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane