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
246 2020 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
111 2019 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
106 2020 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
59 2021 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
59 2020 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
56 2022 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
23 2023 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
15 2023 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
12 2020 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
8 2020 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
7 2021 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
5 2023 MobileQuant: Mobile-friendly Quantization for On-device Language Models F Tan, R Lee, Ł Dudziak, SX Hu, S Bhattacharya, T Hospedales, ...
The 2024 Conference on Empirical Methods in Natural Language Processing, 2024
4 2024 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
4 2024 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
4 2023 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
3 2022 Photon: Federated LLM Pre-Training L Sani, A Iacob, Z Cao, R Lee, B Marino, Y Gao, D Cai, Z Li, W Zhao, ...
Eighth Conference on Machine Learning and Systems, 2025
2 2025 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
2 2021 Model Diffusion for Certifiable Few-shot Transfer Learning F Rezk, R Lee, H Gouk, T Hospedales, M Kim
arXiv preprint arXiv:2502.06970, 2025
2025 FedP EFT: Federated Learning to Personalize Parameter Efficient Fine-Tuning for Multilingual LLMs R Lee, M Kim, F Rezk, R Li, SI Venieris, T Hospedales
arXiv preprint arXiv:2502.04387, 2025
2025