Royson Lee
10 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 👑 Triple Crown
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Grand Slam
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Keyword Collector
(50)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(7)
Deep Learning
(5)
Core AI
(4)
Application Areas
(3)
Learning Paradigms · Artificial Intelligence
(3)
Architectures
(2)
Learning Paradigms · Machine Learning
(2)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Bayesian & Probabilistic
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
federated learning
(4)
model compression
(2)
bayesian inference
(2)
parameter-efficient fine-tuning
(2)
instruction tuning
(1)
image restoration
(1)
langevin dynamics
(1)
neural architecture search
(1)
stochastic gradient
(1)
posterior sampling
(1)
learning rate
(1)
kernel estimation
(1)
early exit
(1)
posterior inference
(1)
low-resource language
(1)
bayesian approach
(1)
cross-lingual transfer
(1)
data selection
(1)
model quantization
(1)
quantization
(1)
Papers
FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs
AAAI 2026
Progressive Mixed-Precision Decoding for Efficient LLM Inference
ICLR 2025
A Bayesian Approach to Data Point Selection
NeurIPS 2024
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages
ICLR 2024
Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation
WACV 2024
MobileQuant: Mobile-friendly Quantization for On-device Language Models
EMNLP 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
ICML 2024
FedL2P: Federated Learning to Personalize
NeurIPS 2023
BRP-NAS: Prediction-based NAS using GCNs
NeurIPS 2020
Journey Towards Tiny Perceptual Super-Resolution
ECCV 2020