Get started
Author

Royson Lee

Observed name: Lee, Royson
ORCID: 0000-0002-6716-7994
Observed ORCID: 0000-0002-6716-7994
OpenAlex ID: A5026267258
BRP-NAS: Prediction-based NAS using GCNs
2020 · Dudziak, Łukasz, Chau, Thomas, et al. · arXiv (Cornell University) · 157
PDF
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors
2019 · Royson Lee, Stylianos I. Venieris, et al. · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · 89
PDF
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator
2020 · Mohamed S. Abdelfattah, Lukasz Dudziak, et al. · ACM/IEEE Design Automation Conference (DAC) · 88
PDF
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design
2022 · Hongxiang Fan, Thomas Chau, et al. · IEEE/ACM International Symposium on Microarchitecture (MICRO) · 74
PDF
Journey Towards Tiny Perceptual Super-Resolution
2020 · Royson Lee, Łukasz Dudziak, et al. · Lecture notes in computer science · 58
PDF
Deep Neural Network–based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions
2021 · Royson Lee, Stylianos I. Venieris, et al. · ACM Computing Surveys · 56
PDF
Poster: MobiSR -- Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors
2019 · Royson Lee, Stylianos I. Venieris, et al. · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · 20
Progressive Mixed-Precision Decoding for Efficient LLM Inference
2024 · Chen, Hao Mark, Tan, Fuwen, et al. · arXiv (Cornell University) · 18
PDF
FedL2P: Federated Learning to Personalize
2023 · Royson Lee, Minyoung Kim, et al. · neural information processing systems · 18
PDF
MobileQuant: Mobile-friendly Quantization for On-device Language Models
2024 · Fuwen Tan, Royson Lee, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 15
PDF
MobileQuant: Mobile-friendly Quantization for On-device Language Models
2024 · Tan, Fuwen, Lee, Royson, et al. · arXiv (Cornell University) · 12
PDF
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation
2024 · Royson Lee, Rui Li, et al. · IEEE Winter Conference on Applications of Computer Vision · 11
PDF
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution
2023 · Stylianos I. Venieris, Mario Almeida, et al. · IEEE Transactions on Mobile Computing · 11
PDF
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
2024 · Lee, Royson, Fernandez-Marques, Javier, et al. · arXiv (Cornell University) · 8
PDF
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions
2020 · Royson Lee, Stylianos I. Venieris, et al. · 8
PDF
Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search
2020 · Mohamed S. Abdelfattah, Lukasz Dudziak, et al. · ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA) · 7
Dynamic Expert Sharing: Decoupling Memory from Parallelism in Mixture-of-Experts Diffusion LLMs
2026 · Chen, Hao Mark, Mo, Zhiwen, et al. · arXiv (Cornell University) · 3
PDF
FedP$^2$EFT: Federated Learning to Personalize PEFT for Multilingual LLMs
2025 · Lee, Royson, Kim, Minyoung, et al. · arXiv (Cornell University) · 2
PDF
Temporal Kernel Consistency for Blind Video Super-Resolution
2021 · Lichuan Xiang, Royson Lee, et al. · IEEE International Conference on Computer Vision Workshops · 2
PDF
FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs
2026 · Royson Lee, Minyoung Kim, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1
PDF
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor
2023 · Loya, Hrushikesh, Dudziak, Łukasz, et al. · arXiv (Cornell University) · 1
PDF
HM-ROUTER: Joint Model and Harness Routing for Agentic Systems
2026 · Chen, Hao Mark, Lee, Royson, et al. · arXiv (Cornell University)
PDF
Metro-WM: Long-Horizon Latent Planning with Realisable Sub-Goals
2026 · Lee, Royson, Rezk, Fady, et al. · arXiv (Cornell University)
PDF
FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs
2026 · Association for Artificial Intelligence 2026, Hospedales, Timothy, et al. · Underline Science Inc.
Weight Space Learning for Certifiable Few-shot Transfer Learning
2025 · Rezk, Fady, Lee, Royson, et al. · arXiv (Cornell University)
PDF
Works count: 28
Citation count: 659
H-index: 11
I10-index: 13
Year
Topic
Type