Myungjin Lee
10 papers · 2016–2026 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (18) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Half
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Research topics
Keywords
large language model
(4)
knowledge distillation
(2)
network debugging
(2)
model compression
(2)
federated learning
(2)
efficient computing
(2)
neural architecture search
(1)
computational efficiency
(1)
model architecture
(1)
inference optimization
(1)
minimax optimization
(1)
network monitoring
(1)
early exit
(1)
adaptive inference
(1)
multi-objective optimization
(1)
neural network optimization
(1)
resource allocation
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deep neural network
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constraint satisfaction
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model merging
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Papers
JITServe: SLO-aware LLM Serving with Imprecise Request Information
NSDI 2026
StitchLLM: Serving LLMs, One Block at a Time
ACL 2025
Adaptive Deep Neural Network Inference Optimization With EENet
WACV 2024
A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization
ICML 2024
DεpS: Delayed ε-Shrinking for Faster Once-For-All Training
ECCV 2024
Enhancing Large Language Models through Transforming Reasoning Problems into Classification Tasks
COLING 2024
IaC-Eval: A Code Generation Benchmark for Cloud Infrastructure-as-Code Programs
NeurIPS 2024
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference
ECCV 2024
Distributed Network Monitoring and Debugging with SwitchPointer
NSDI 2018
Simplifying Datacenter Network Debugging with PathDump
OSDI 2016