Yadan Luo
28 papers · 2020–2026 · 9 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 (62) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(21)
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Conference Pioneer
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Research topics
Deep Learning
(19)
Machine Learning
(17)
Computer Vision
(15)
Learning Types Β· Deep Learning
(12)
Artificial Intelligence
(11)
Learning Types Β· Machine Learning
(11)
Application Areas
(10)
Analysis
(8)
Core AI
(7)
Domain-Specific
(7)
Models
(6)
Architectures
(5)
Core Methods
(4)
Learning Paradigms
(4)
Generation
(3)
Keywords
vision-language model
(5)
feature learning
(3)
graph neural network
(3)
zero-shot learning
(3)
3d object detection
(3)
contrastive learning
(2)
information theory
(2)
domain adaptation
(2)
out-of-distribution detection
(2)
image synthesis
(2)
point cloud
(2)
single domain generalization
(2)
prompt learning
(2)
trajectory planning
(2)
active learning
(2)
autonomous driving
(2)
test-time adaptation
(2)
multi-task learning
(1)
vision transformer
(1)
adversarial learning
(1)
Papers
GuideFlow: Constraint-Guided Flow Matching for Planning in End-to-End Autonomous Driving
CVPR 2026
Language-driven Fine-grained Retrieval
CVPR 2026
MergeVLA: Cross-Skill Model Merging Toward a Generalist Vision-Language-Action Agent
CVPR 2026
OraPO: Oracle-educated Reinforcement Learning for Data-efficient and Factual Radiology Report Generation
CVPR 2026
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization
WACV 2026
TALO: Pushing 3D Vision Foundation Models Towards Globally Consistent Online Reconstruction
CVPR 2026
Test-Time 3D Occupancy Prediction
CVPR 2026
Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving
CVPR 2025
Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation
ICCV 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
Color-Oriented Redundancy Reduction in Dataset Distillation
NeurIPS 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
ICLR 2024
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
NeurIPS 2024
Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels
NeurIPS 2024
Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments
ECCV 2024
Exploring Active 3D Object Detection from a Generalization Perspective
ICLR 2023
FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification
WACV 2023
How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability
ICCV 2023
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
ICCV 2023
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling
ICCV 2023
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation
IJCAI 2021
Learning To Diversify for Single Domain Generalization
ICCV 2021
Semantics Disentangling for Generalized Zero-Shot Learning
ICCV 2021
CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language
WACV 2020
Human Consensus-Oriented Image Captioning
IJCAI 2020
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks
AAAI 2020
Progressive Graph Learning for Open-Set Domain Adaptation
ICML 2020