Mong Li Lee
19 papers · 2017–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (9) 🌍 Conference Polyglot (7) 🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(9)
🤝
Dynamic Duo
(19)
🚀
Conference Pioneer
💎
Century Club
(19)
🗃️
Keyword Collector
(107)
🔥
Unstoppable
(8)
Conferences
AAAI (5)
IJCAI (4)
NIPS (4)
CVPR (2)
EMNLP (2)
NAACL (1)
WACV (1)
Top co-authors
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
REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction Modeling
NIPS 2023
Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization
NIPS 2023
Chronic Disease Management with Personalized Lab Test Response Prediction
IJCAI 2022
Explanation-based Data Augmentation for Image Classification
NIPS 2021
Improving Evidence Retrieval for Automated Explainable Fact-Checking
NAACL 2021
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples
NIPS 2020
Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation
AAAI 2020
Propagation Mechanism for Deep and Wide Neural Networks
CVPR 2019
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
Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach
IJCAI 2017
Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews
EMNLP 2017