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 | 224 | 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 | 102 | 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 | 100 | 2020 |
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 | 56 | 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 | 48 | 2021 |
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 | 45 | 2022 |
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 | 11 | 2020 |
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 | 9 | 2023 |
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 | 9 | 2023 |
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 | 5 | 2021 |
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 |
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 | 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 |
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 |
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 | 1 | 2024 |
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 | | 2024 |
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 |