Yunhui Guo
30 papers · 2015–2026 · 10 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 (60) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver 𧬠Topic Evolution
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Renaissance Researcher
(6)
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Trend Setter
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(133)
π₯
Unstoppable Β· Bronze
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The Questioner
β‘
Prolific Year Β· Prolific
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Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(20)
Learning Types Β· Machine Learning
(16)
Deep Learning
(12)
Computer Vision
(11)
Learning Types Β· Deep Learning
(10)
Analysis
(9)
Artificial Intelligence
(8)
Core Methods
(8)
Application Areas
(6)
Core AI
(5)
Architectures
(4)
Learning Paradigms
(4)
Optimization & Theory
(3)
Techniques
(3)
Data Science & Analytics
(2)
Keywords
continual learning
(6)
image classification
(3)
out-of-distribution detection
(3)
hyperbolic space
(3)
unsupervised learning
(3)
semantic segmentation
(3)
transfer learning
(3)
active learning
(3)
submodular optimization
(2)
unsupervised continual learning
(2)
multimodal learning
(2)
convolutional neural network
(2)
self-supervised learning
(2)
feature learning
(2)
catastrophic forgetting
(2)
knowledge distillation
(2)
multi-task learning
(1)
semi-supervised learning
(1)
metric learning
(1)
benchmark evaluation
(1)
Papers
Do Audio-Visual Segmentation Models Truly Segment Sounding Objects?
AAAI 2026
Learnability-Driven Submodular Optimization for Active Roadside 3D Detection
CVPR 2026
OmniSonic: Towards Universal and Holistic Audio Generation from Video and Text
CVPR 2026
BATCLIP: Bimodal Online Test-Time Adaptation for CLIP
ICCV 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
CVPR 2025
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation
AAAI 2025
Continual Audio-Visual Sound Separation
NeurIPS 2024
Continual Learning in an Open and Dynamic World
AAAI 2024
Evolve: Enhancing Unsupervised Continual Learning With Multiple Experts
WACV 2024
Inconsistency-Based Data-Centric Active Open-Set Annotation
AAAI 2024
"Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data"
ECCV 2024
Segment Every Out-of-Distribution Object
CVPR 2024
SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)
MICCAI 2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection
NeurIPS 2024
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
CVPR 2024
VEATIC: Video-Based Emotion and Affect Tracking in Context Dataset
WACV 2024
AUC Maximization in Imbalanced Lifelong Learning
UAI 2023
Audio-Visual Class-Incremental Learning
ICCV 2023
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction
RSS 2023
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers
CVPR 2022
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data
CVPR 2022
Unsupervised Hierarchical Semantic Segmentation With Multiview Cosegmentation and Clustering Transformers
CVPR 2022
A Broader Study of Cross-Domain Few-Shot Learning
ECCV 2020
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning
AAAI 2020
Improved Schemes for Episodic Memory-based Lifelong Learning
NeurIPS 2020
Depthwise Convolution Is All You Need for Learning Multiple Visual Domains
AAAI 2019
SpotTune: Transfer Learning Through Adaptive Fine-Tuning
CVPR 2019
Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization
IJCAI 2017
Constrained Preference Embedding for Item Recommendation
IJCAI 2016
Recommendation Algorithms for Optimizing Hit Rate, User Satisfaction and Website Revenue
IJCAI 2015