Yadan Luo
22 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Keyword Pioneer
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Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(57)
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Dynamic Duo
(17)
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π
Century Club
(22)
π
Conference Pioneer
β‘
Prolific Year
(5)
β
The Questioner
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Keyword Collector
(100)
Conferences
ICCV (6)
ICLR (4)
NIPS (3)
WACV (3)
IJCAI (2)
AAAI (1)
CVPR (1)
ECCV (1)
ICML (1)
Top co-authors
Keywords
vision-language model
(3)
feature learning
(3)
graph neural network
(3)
zero-shot learning
(3)
information theory
(2)
contrastive learning
(2)
3d object detection
(2)
prompt learning
(2)
single domain generalization
(2)
image synthesis
(2)
continual learning
(1)
few-shot learning
(1)
model selection
(1)
transfer learning
(1)
motion planning
(1)
multi-task learning
(1)
collaborative filtering
(1)
adversarial learning
(1)
image classification
(1)
style transfer
(1)
Papers
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization
WACV 2026
Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation
ICCV 2025
Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving
CVPR 2025
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
ICLR 2025
PolaFormer: Polarity-aware Linear Attention for Vision Transformers
ICLR 2025
Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments
ECCV 2024
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
NIPS 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
ICLR 2024
Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels
NIPS 2024
Color-Oriented Redundancy Reduction in Dataset Distillation
NIPS 2024
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling
ICCV 2023
Exploring Active 3D Object Detection from a Generalization Perspective
ICLR 2023
FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification
WACV 2023
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
ICCV 2023
How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability
ICCV 2023
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation
IJCAI 2021
Semantics Disentangling for Generalized Zero-Shot Learning
ICCV 2021
Learning To Diversify for Single Domain Generalization
ICCV 2021
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks
AAAI 2020
CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language
WACV 2020
Progressive Graph Learning for Open-Set Domain Adaptation
ICML 2020
Human Consensus-Oriented Image Captioning
IJCAI 2020