Yajing Liu
9 papers · 2018–2026 · 2 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (21)
π
Conference Pioneer
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Core AI
(4)
Deep Learning
(3)
Application Areas
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Analysis
(2)
Learning Paradigms
(2)
Learning Types Β· Machine Learning
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Optimization
(1)
Optimization & Theory
(1)
Keywords
prompt learning
(2)
vision-language model
(2)
multi-task learning
(1)
feature learning
(1)
few-shot learning
(1)
domain generalization
(1)
transfer learning
(1)
domain adaptation
(1)
feature extraction
(1)
object detection
(1)
prototype learning
(1)
self-supervised learning
(1)
data augmentation
(1)
cross-modal transfer
(1)
parameter regularization
(1)
distribution learning
(1)
gaussian distribution
(1)
low-rank adaptation
(1)
mixture of expert
(1)
multimodal fusion
(1)
Papers
Decoupled and Reusable Adaptation for Efficient Cross-Modal Transfer
CVPR 2026
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection
CVPR 2024
Hierarchical Prompt Learning for Multi-Task Learning
CVPR 2023
Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction
ECCV 2022
Exposure Normalization and Compensation for Multiple-Exposure Correction
CVPR 2022
Prompt Distribution Learning
CVPR 2022
Self-Supervision Can Be a Good Few-Shot Learner
ECCV 2022
Compact Feature Learning for Multi-Domain Image Classification
CVPR 2019
Deep Domain Generalization via Conditional Invariant Adversarial Networks
ECCV 2018