Changhee Lee
13 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(2)
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Triple Crown
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
(69)
Top co-authors
Research topics
Machine Learning
(11)
Core Methods
(8)
Artificial Intelligence
(6)
Healthcare & Medicine
(6)
Clinical
(6)
Learning Types
(5)
Data Science & Analytics
(4)
Application Areas
(4)
Core AI
(4)
Deep Learning
(3)
Methods
(3)
Mathematics & Optimization
(2)
Learning Paradigms
(2)
Computer Vision
(1)
Applications
(1)
Keywords
feature selection
(3)
survival analysis
(3)
representation learning
(2)
time series clustering
(2)
temporal clustering
(2)
information bottleneck
(2)
disease progression
(2)
time series
(2)
data integration
(1)
self-supervised learning
(1)
domain adaptation
(1)
medical imaging
(1)
sequential decision making
(1)
deep clustering
(1)
model calibration
(1)
variational inference
(1)
nash equilibrium
(1)
time series prediction
(1)
lesion segmentation
(1)
deep learning
(1)
Papers
PETAR: Localized Findings Generation with Mask-Aware Vision-Language Modeling for PET Automated Reporting
CVPR 2026
Stochastic Encodings for Active Feature Acquisition
ICML 2025
Conditional Information Bottleneck Approach for Time Series Imputation
ICLR 2024
Discovering Features with Synergistic Interactions in Multiple Views
ICML 2024
Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning
NeurIPS 2024
Neural Stochastic Differential Games for Time-series Analysis
ICML 2023
Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure
NeurIPS 2023
T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression
AISTATS 2023
Self-Supervision Enhanced Feature Selection with Correlated Gates
ICLR 2022
A Variational Information Bottleneck Approach to Multi-Omics Data Integration
AISTATS 2021
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
NeurIPS 2021
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression
ICML 2020
Temporal Quilting for Survival Analysis
AISTATS 2019