Følg
Royson Lee
Royson Lee
PhD Candidate, University of Cambridge & Part-Time Research Engineer at Samsung AI Center, Cambridge
Verificeret mail på cam.ac.uk
Titel
Citeret af
Citeret af
År
Brp-nas: Prediction-based nas using gcns
Ł Dudziak, T Chau, MS Abdelfattah, R Lee, H Kim, ND Lane
Thirty-Fourth Annual Conference on Neural Information Processing Systems, 2020
2102020
Mobisr: Efficient on-device super-resolution through heterogeneous mobile processors
R Lee, SI Venieris, L Dudziak, S Bhattacharya, ND Lane
The 25th annual international conference on mobile computing and networking …, 2019
932019
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator
MS Abdelfattah, Ł Dudziak, T Chau, R Lee, H Kim, ND Lane
Design Automation Conference, 2020
912020
Journey Towards Tiny Perceptual Super-Resolution
R Lee, Ł Dudziak, M Abdelfattah, SI Venieris, H Kim, H Wen, ND Lane
16th European Conference on Computer Vision, 2020
552020
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions
R Lee, SI Venieris, ND Lane
ACM Computing Surveys (CSUR), 2021
432021
Adaptable butterfly accelerator for attention-based NNs via hardware and algorithm co-design
H Fan, T Chau, SI Venieris, R Lee, A Kouris, W Luk, ND Lane, ...
2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 599-615, 2022
352022
Codesign-NAS: Automatic FPGA/CNN codesign using neural architecture search
MS Abdelfattah, L Dudziak, T Chau, R Lee, H Kim, ND Lane
Proceedings of the 2020 ACM/SIGDA International Symposium on Field …, 2020
112020
FedL2P: Federated Learning to Personalize
R Lee, M Kim, D Li, X Qiu, T Hospedales, F Huszár, ND Lane
Thirty-Seventh Annual Conference on Neural Information Processing Systems, 2023
72023
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions
R Lee, SI Venieris, ND Lane
1st Workshop on Distributed Machine Learning at CoNEXT 2020, 2020
72020
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages
W Zhao, Y Chen, R Lee, X Qiu, Y Gao, H Fan, ND Lane
The Twelfth International Conference on Learning Representations, 2023
62023
Electronic device and method for controlling the electronic device thereof
MS Abdelfattah, L Dudziak, CP Chau, H Kim, LEE Royson, ...
US Patent App. 17/015,724, 2021
52021
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation
R Lee, R Li, SI Venieris, T Hospedales, F Huszár, ND Lane
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024, 2023
32023
Method and apparatus for analyzing neural network performance
CP Chau, MS Abdelfattah, L Dudziak, LEE Royson, H Kim, NDA Lane
US Patent App. 17/514,840, 2022
32022
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution
SI Venieris, M Almeida, R Lee, ND Lane
IEEE Transactions on Mobile Computing (TCM), 2023
22023
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
R Lee, J Fernandez-Marques, SX Hu, D Li, S Laskaridis, Ł Dudziak, ...
The 41st International Conference on Machine Learning, 2024
12024
Temporal Kernel Consistency for Blind Video Super-Resolution
L Xiang, R Lee, MS Abdelfattah, ND Lane, H Wen
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
12021
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor
H Loya, Ł Dudziak, A Mehrotra, R Lee, J Fernandez-Marques, ND Lane, ...
arXiv preprint arXiv:2311.18451, 2023
2023
Electronic device and method for accelerating neural network computations
FAN Hongxiang, CP Chau, S Venieris, A Kouris, LEE Royson, ...
US Patent App. 18/221,089, 2023
2023
Method for super-resolution
SI Venieris, M Almeida, LEE Royson
US Patent App. 18/143,448, 2023
2023
Systemet kan ikke foretage handlingen nu. Prøv igen senere.
Artikler 1–19