Yeonju Ro
6 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Machine Learning
(5)
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Artificial Intelligence
(3)
Deep Learning
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Core AI
(3)
Optimization & Theory · Machine Learning
(3)
Optimization & Theory · Deep Learning
(3)
Techniques
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
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Architectures
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Core Methods
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Optimization
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Keywords
model compression
(3)
neural network compression
(1)
linear attention
(1)
data augmentation
(1)
transformer
(1)
ensemble training
(1)
early exit
(1)
reconstruction error
(1)
distributed training
(1)
mixture of expert
(1)
inference optimization
(1)
layer skipping
(1)
weight quantization
(1)
inference acceleration
(1)
post-training quantization
(1)
expert routing
(1)
autoregressive decoding
(1)
request scheduling
(1)
tail latency
(1)
neural network quantization
(1)
Papers
On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving
ICML 2025
Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design
NeurIPS 2024
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping
EMNLP 2024
Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit
ICML 2023
RingLeader: Efficiently Offloading Intra-Server Orchestration to NICs
NSDI 2023
Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error
CVPR 2022