Wynne Hsu
33 papers · 2017–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (67) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
π§¬
Topic Evolution
π
Keyword Champion
π€
Dynamic Duo
(19)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(7)
ποΈ
Keyword Collector
(171)
Venues
Top co-authors
Research topics
Machine Learning
(18)
Artificial Intelligence
(16)
Deep Learning
(16)
Core AI
(14)
Computer Vision
(11)
Natural Language Processing
(11)
Learning Types Β· Deep Learning
(11)
Learning Types Β· Machine Learning
(9)
Core Methods
(8)
Applications
(7)
Application Areas
(6)
Healthcare & Medicine
(5)
Architectures
(5)
Clinical
(5)
Domain-Specific
(5)
Keywords
large language model
(6)
deep learning
(4)
medical imaging
(4)
representation learning
(3)
explainable ai
(3)
multimodal large language model
(3)
continual learning
(3)
post-hoc explanation
(2)
out-of-distribution detection
(2)
evidence retrieval
(2)
feature learning
(2)
vision-language model
(2)
semi-supervised learning
(2)
uncertainty estimation
(2)
logical reasoning
(2)
symbolic reasoning
(2)
temporal reasoning
(2)
claim verification
(2)
data augmentation
(2)
diffusion model
(2)
Papers
DREAM: Dynamic Prompts and GuidedMix for Efficient Continual Adaptation of Visual-Language Models
WACV 2026
Orthogonal Spatial-temporal Distributional Transfer for 4D Generation
AAAI 2026
Taming Actor-Observer Asymmetry in Agents via Dialectical Alignment
ACL 2026
UniM: A Unified Any-to-Any Interleaved Multimodal Benchmark
CVPR 2026
Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework
ACL 2025
ChronoFact: Timeline-based Temporal Fact Verification
IJCAI 2025
From Personas to Talks: Revisiting the Impact of Personas on LLM-Synthesized Emotional Support Conversations
EMNLP 2025
TRUST-VL: An Explainable News Assistant for General Multimodal Misinformation Detection
EMNLP 2025
Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models
ICML 2025
Cross-Domain Feature Augmentation for Domain Generalization
IJCAI 2024
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
Label-Efficient Online Continual Object Detection in Streaming Video
ICCV 2023
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
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
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