Wynne Hsu
32 papers · 2017–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Academic Marathon (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (9)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(64)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π
Grand Slam
π€
Dynamic Duo
(19)
π
Century Club
(30)
ποΈ
Keyword Collector
(151)
π₯
Unstoppable
(8)
β‘
Prolific Year
(5)
π
Conference Pioneer
Conferences
AAAI (6)
EMNLP (5)
ACL (4)
IJCAI (4)
NIPS (4)
CVPR (2)
ICCV (2)
ICML (2)
ICLR (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
large language model
(6)
medical imaging
(4)
deep learning
(4)
representation learning
(3)
continual learning
(3)
explainable ai
(3)
evidence retrieval
(2)
uncertainty estimation
(2)
diabetic retinopathy
(2)
feature learning
(2)
out-of-distribution detection
(2)
vision-language model
(2)
semi-supervised learning
(2)
post-hoc explanation
(2)
logical reasoning
(2)
symbolic reasoning
(2)
temporal reasoning
(2)
claim verification
(2)
data augmentation
(2)
diffusion model
(2)
Papers
Orthogonal Spatial-temporal Distributional Transfer for 4D Generation
AAAI 2026
DREAM: Dynamic Prompts and GuidedMix for Efficient Continual Adaptation of Visual-Language Models
WACV 2026
Taming Actor-Observer Asymmetry in Agents via Dialectical Alignment
ACL 2026
TRUST-VL: An Explainable News Assistant for General Multimodal Misinformation Detection
EMNLP 2025
Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework
ACL 2025
From Personas to Talks: Revisiting the Impact of Personas on LLM-Synthesized Emotional Support Conversations
EMNLP 2025
ChronoFact: Timeline-based Temporal Fact Verification
IJCAI 2025
Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models
ICML 2025
EHDChat: A Knowledge-Grounded, Empathy-Enhanced Language Model for Healthcare Interactions
EMNLP 2024
Faithful Logical Reasoning via Symbolic Chain-of-Thought
ACL 2024
Modeling Complex Interactions in Long Documents for Aspect-Based Sentiment Analysis
ACL 2024
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
CVPR 2024
Time Matters: An End-to-End Solution for Temporal Claim Verification
EMNLP 2024
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
ICLR 2024
Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition
ICML 2024
Cross-Domain Feature Augmentation for Domain Generalization
IJCAI 2024
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images
AAAI 2023
Label-Efficient Online Continual Object Detection in Streaming Video
ICCV 2023
Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization
NIPS 2023
REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction Modeling
NIPS 2023
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
ICCV 2023
Chronic Disease Management with Personalized Lab Test Response Prediction
IJCAI 2022
Improving Evidence Retrieval for Automated Explainable Fact-Checking
NAACL 2021
Explanation-based Data Augmentation for Image Classification
NIPS 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
Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study
AAAI 2019
Propagation Mechanism for Deep and Wide Neural Networks
CVPR 2019
FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions
AAAI 2019
Building Trust in Deep Learning System towards Automated Disease Detection
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