Jungwuk Park
7 papers · 2021–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
🏆
Grand Slam
Venues
Top co-authors
Research topics
Machine Learning
(7)
Application Areas
(7)
Artificial Intelligence
(6)
Core AI · Artificial Intelligence
(3)
Learning Paradigms
(3)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Core AI · Computer Vision
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Processing
(1)
Keywords
out-of-distribution generalization
(2)
domain shift
(2)
domain generalization
(2)
adversarial robustness
(2)
test-time adaptation
(2)
federated learning
(2)
attention mechanism
(1)
knowledge distillation
(1)
adversarial training
(1)
model aggregation
(1)
distributed optimization
(1)
early exit
(1)
source domain
(1)
distribution shift
(1)
model averaging
(1)
deep neural network
(1)
parameter-efficient fine-tuning
(1)
straggler mitigation
(1)
vision-language model
(1)
prompt tuning
(1)
Papers
ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD Generalization
AAAI 2026
Adaptive Energy Alignment for Accelerating Test-Time Adaptation
ICLR 2025
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
AAAI 2024
NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks
NeurIPS 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization
NeurIPS 2023
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
ICML 2023
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries
NeurIPS 2021