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2020 – today
- 2024
[j2]Stylianos I. Venieris
, Mário Almeida, Royson Lee, Nicholas D. Lane:
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution. IEEE Trans. Mob. Comput. 23(3): 2367-2381 (2024)- [c14]Fuwen Tan, Royson Lee, Lukasz Dudziak, Shell Xu Hu, Sourav Bhattacharya, Timothy M. Hospedales, Georgios Tzimiropoulos, Brais Martínez:
MobileQuant: Mobile-friendly Quantization for On-device Language Models. EMNLP (Findings) 2024: 9761-9771 - [c13]Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane:
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. ICLR 2024 - [c12]Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas Donald Lane:
Recurrent Early Exits for Federated Learning with Heterogeneous Clients. ICML 2024 - [c11]Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane:
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. WACV 2024: 1485-1494 - [i14]Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane:
Recurrent Early Exits for Federated Learning with Heterogeneous Clients. CoRR abs/2405.14791 (2024) - [i13]Fuwen Tan, Royson Lee, Lukasz Dudziak, Shell Xu Hu, Sourav Bhattacharya, Timothy M. Hospedales, Georgios Tzimiropoulos, Brais Martínez:
MobileQuant: Mobile-friendly Quantization for On-device Language Models. CoRR abs/2408.13933 (2024) - 2023
- [c10]Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszar, Nicholas D. Lane:
FedL2P: Federated Learning to Personalize. NeurIPS 2023 - [i12]Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane:
FedL2P: Federated Learning to Personalize. CoRR abs/2310.02420 (2023) - [i11]Hrushikesh Loya, Lukasz Dudziak, Abhinav Mehrotra, Royson Lee, Javier Fernández-Marqués, Nicholas D. Lane, Hongkai Wen:
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor. CoRR abs/2311.18451 (2023) - 2022
- [j1]Royson Lee, Stylianos I. Venieris, Nicholas D. Lane:
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions. ACM Comput. Surv. 54(8): 169:1-169:30 (2022) - [c9]Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah:
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. MICRO 2022: 599-615 - [i10]Hongxiang Fan, Thomas Chun-Pong Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah:
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. CoRR abs/2209.09570 (2022) - [i9]Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane:
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. CoRR abs/2212.07886 (2022) - [i8]Stylianos I. Venieris, Mário Almeida, Royson Lee, Nicholas D. Lane:
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution. CoRR abs/2212.09501 (2022) - 2021
- [c8]Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen:
Temporal Kernel Consistency for Blind Video Super-Resolution. ICCVW 2021: 3470-3479 - [i7]Royson Lee, Stylianos I. Venieris, Nicholas D. Lane:
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions. CoRR abs/2106.03727 (2021) - [i6]Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen:
Temporal Kernel Consistency for Blind Video Super-Resolution. CoRR abs/2108.08305 (2021) - 2020
- [c7]Royson Lee, Stylianos I. Venieris, Nicholas D. Lane:
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions. DistributedML@CoNEXT 2020: 34-41 - [c6]Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane:
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. DAC 2020: 1-6 - [c5]Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane:
Journey Towards Tiny Perceptual Super-Resolution. ECCV (26) 2020: 85-102 - [c4]Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane:
Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search. FPGA 2020: 315 - [c3]Lukasz Dudziak, Thomas Chau, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane:
BRP-NAS: Prediction-based NAS using GCNs. NeurIPS 2020 - [i5]Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane:
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. CoRR abs/2002.05022 (2020) - [i4]Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane:
Journey Towards Tiny Perceptual Super-Resolution. CoRR abs/2007.04356 (2020) - [i3]Thomas Chau, Lukasz Dudziak, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane:
BRP-NAS: Prediction-based NAS using GCNs. CoRR abs/2007.08668 (2020) - [i2]Royson Lee, Stylianos I. Venieris, Nicholas D. Lane:
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions. CoRR abs/2010.05838 (2020)
2010 – 2019
- 2019
- [c2]Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane:
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. MobiCom 2019: 54:1-54:16 - [c1]Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane:
Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. MobiCom 2019: 90:1-90:3 - [i1]Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane:
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. CoRR abs/1908.07985 (2019)
Coauthor Index
aka: Nicholas Donald Lane
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