Royson Lee

According to our database, Royson Lee authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution.

Stylianos I. Venieris, Mário Almeida, Royson Lee, Nicholas D. Lane

IEEE Trans. Mob. Comput., March, 2024

Progressive Mixed-Precision Decoding for Efficient LLM Inference.

Hao Mark Chen, Fuwen Tan, Alexandros Kouris, Royson Lee, Hongxiang Fan, Stylianos I. Venieris

CoRR, 2024

Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation.

Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Recurrent Early Exits for Federated Learning with Heterogeneous Clients.

Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas Donald Lane

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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 Martínez

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor.

Hrushikesh Loya, Lukasz Dudziak, Abhinav Mehrotra, Royson Lee, Javier Fernández-Marqués, Nicholas D. Lane, Hongkai Wen

CoRR, 2023

FedL2P: Federated Learning to Personalize.

Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszar, Nicholas D. Lane

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions.

Royson Lee, Stylianos I. Venieris, Nicholas D. Lane

ACM Comput. Surv., 2022

Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design.

Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

2021

Temporal Kernel Consistency for Blind Video Super-Resolution.

Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

BRP-NAS: Prediction-based NAS using GCNs.

Lukasz Dudziak, Thomas Chau, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search.

Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane

Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

Journey Towards Tiny Perceptual Super-Resolution.

Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane

Proceedings of the Computer Vision - ECCV 2020, 2020

Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator.

Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions.

Royson Lee, Stylianos I. Venieris, Nicholas D. Lane

Proceedings of the DistributedML@CoNEXT 2020: Proceedings of the 1st Workshop on Distributed Machine Learning, 2020

2019

Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors.

Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane

Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors.

Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane

Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019