Mong Li Lee
19 papers · 2017–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (46) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(19)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
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Renaissance Researcher
(6)
ποΈ
Keyword Collector
(107)
Top co-authors
Research topics
Machine Learning
(14)
Deep Learning
(11)
Learning Types Β· Deep Learning
(9)
Learning Types Β· Machine Learning
(8)
Artificial Intelligence
(7)
Computer Vision
(7)
Core Methods
(7)
Healthcare & Medicine
(5)
Application Areas
(5)
Clinical
(5)
Core AI
(5)
Domain-Specific
(5)
Natural Language Processing
(4)
Architectures
(4)
Applications
(3)
Keywords
deep learning
(4)
medical imaging
(4)
representation learning
(3)
continual learning
(2)
explainable ai
(2)
patient representation
(2)
feature learning
(2)
data augmentation
(2)
post-hoc explanation
(2)
diabetic retinopathy
(2)
out-of-distribution detection
(2)
uncertainty estimation
(2)
sentiment analysis
(1)
bayesian inference
(1)
vision transformer
(1)
domain adaptation
(1)
transfer learning
(1)
semi-supervised learning
(1)
domain generalization
(1)
knowledge distillation
(1)
Papers
DREAM: Dynamic Prompts and GuidedMix for Efficient Continual Adaptation of Visual-Language Models
WACV 2026
ChronoFact: Timeline-based Temporal Fact Verification
IJCAI 2025
Cross-Domain Feature Augmentation for Domain Generalization
IJCAI 2024
EHDChat: A Knowledge-Grounded, Empathy-Enhanced Language Model for Healthcare Interactions
EMNLP 2024
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
CVPR 2024
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images
AAAI 2023
Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization
NeurIPS 2023
REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction Modeling
NeurIPS 2023
Chronic Disease Management with Personalized Lab Test Response Prediction
IJCAI 2022
Explanation-based Data Augmentation for Image Classification
NeurIPS 2021
Improving Evidence Retrieval for Automated Explainable Fact-Checking
NAACL 2021
Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation
AAAI 2020
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples
NeurIPS 2020
Building Trust in Deep Learning System towards Automated Disease Detection
AAAI 2019
Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study
AAAI 2019
FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions
AAAI 2019
Propagation Mechanism for Deep and Wide Neural Networks
CVPR 2019
Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews
EMNLP 2017
Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach
IJCAI 2017