Jungwoo Lee
16 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird
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Prolific Year · Productive
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Unstoppable · Bronze
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The Questioner
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Century Club · Bronze
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Research topics
Machine Learning
(13)
Deep Learning
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Application Areas
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Optimization & Theory
(7)
Learning Types · Machine Learning
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Reinforcement Learning
(5)
Learning Types · Deep Learning
(4)
Methods
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Artificial Intelligence
(3)
Core AI · Artificial Intelligence
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Computer Vision
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Core AI · Computer Vision
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Keywords
domain adaptation
(2)
reinforcement learning
(1)
chain-of-thought reasoning
(1)
catastrophic forgetting
(1)
feature learning
(1)
offline reinforcement learning
(1)
non-convex optimization
(1)
image synthesis
(1)
belief propagation
(1)
mathematical reasoning
(1)
direct preference optimization
(1)
noisy label learning
(1)
medical imaging
(1)
weakly supervised learning
(1)
continual learning
(1)
multi-label classification
(1)
representation learning
(1)
explainable ai
(1)
feature attribution
(1)
deep reinforcement learning
(1)
Papers
An Adaptive Sampling Framework for Diffusion-based Dataset Distillation with High Fidelity and Diversity
AAAI 2026
Efficient Process Reward Modeling via Contrastive Mutual Information
ACL 2026
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
ICML 2025
Constructing Fair Latent Space for Intersection of Fairness and Explainability
AAAI 2025
Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation
EMNLP 2025
Policy-labeled Preference Learning: Is Preference Enough for RLHF?
ICML 2025
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
AAAI 2024
Mitigating Spurious Correlations via Disagreement Probability
NeurIPS 2024
Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification
CVPR 2023
MRI Imputation Based on Fused Index- and Intensity-Registration
WACV 2023
On the Convergence of Continual Learning with Adaptive Methods
UAI 2023
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion
NeurIPS 2023
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning
NeurIPS 2023
Large Loss Matters in Weakly Supervised Multi-Label Classification
CVPR 2022
Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication
ICML 2021
REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation
AAAI 2020