Yunhui Guo
28 papers · 2015–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (9)
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Academic Marathon
(10)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(9)
🧬
Topic Evolution
🔥
Unstoppable
(5)
🚀
Conference Pioneer
💎
Century Club
(27)
⚡
Prolific Year
(10)
❓
The Questioner
📈
Trend Setter
🗃️
Keyword Collector
(127)
Conferences
CVPR (7)
AAAI (6)
IJCAI (3)
NIPS (3)
ECCV (2)
ICCV (2)
WACV (2)
MICCAI (1)
RSS (1)
UAI (1)
Top co-authors
Keywords
continual learning
(6)
image classification
(3)
out-of-distribution detection
(3)
hyperbolic space
(3)
transfer learning
(3)
semantic segmentation
(3)
unsupervised learning
(3)
feature learning
(2)
active learning
(2)
convolutional neural network
(2)
self-supervised learning
(2)
catastrophic forgetting
(2)
knowledge distillation
(2)
unsupervised continual learning
(2)
multi-task learning
(1)
semi-supervised learning
(1)
metric learning
(1)
benchmark evaluation
(1)
representation learning
(1)
domain adaptation
(1)
Papers
Do Audio-Visual Segmentation Models Truly Segment Sounding Objects?
AAAI 2026
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
BATCLIP: Bimodal Online Test-Time Adaptation for CLIP
ICCV 2025
Evolve: Enhancing Unsupervised Continual Learning With Multiple Experts
WACV 2024
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
CVPR 2024
Segment Every Out-of-Distribution Object
CVPR 2024
Inconsistency-Based Data-Centric Active Open-Set Annotation
AAAI 2024
Continual Learning in an Open and Dynamic World
AAAI 2024
"Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data"
ECCV 2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection
NIPS 2024
SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)
MICCAI 2024
VEATIC: Video-Based Emotion and Affect Tracking in Context Dataset
WACV 2024
Continual Audio-Visual Sound Separation
NIPS 2024
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction
RSS 2023
AUC Maximization in Imbalanced Lifelong Learning
UAI 2023
Audio-Visual Class-Incremental Learning
ICCV 2023
Unsupervised Hierarchical Semantic Segmentation With Multiview Cosegmentation and Clustering Transformers
CVPR 2022
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers
CVPR 2022
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data
CVPR 2022
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning
AAAI 2020
Improved Schemes for Episodic Memory-based Lifelong Learning
NIPS 2020
A Broader Study of Cross-Domain Few-Shot Learning
ECCV 2020
SpotTune: Transfer Learning Through Adaptive Fine-Tuning
CVPR 2019
Depthwise Convolution Is All You Need for Learning Multiple Visual Domains
AAAI 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