Yingjun Du
14 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Grand Slam
π§¬
Topic Evolution
π
Keyword Champion
(2)
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Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(59)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(10)
Deep Learning
(9)
Machine Learning
(9)
Learning Paradigms Β· Artificial Intelligence
(8)
Models
(7)
Learning Paradigms Β· Machine Learning
(5)
Learning Types
(5)
Optimization & Theory
(4)
Core AI
(3)
Core Methods
(3)
Computer Vision
(2)
Application Areas
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Natural Language Processing
(1)
Keywords
few-shot learning
(7)
variational inference
(5)
domain generalization
(2)
semantic memory
(2)
batch normalization
(2)
word sense disambiguation
(1)
kernel learning
(1)
domain adaptation
(1)
prompt learning
(1)
diffusion model
(1)
text-to-image generation
(1)
hierarchical bayesian
(1)
message passing
(1)
gradient descent
(1)
semantic similarity
(1)
feature hierarchy
(1)
autonomous driving
(1)
generative model
(1)
representation learning
(1)
model compression
(1)
Papers
GateRA: Token-aware Modulation for Parameter-Efficient Fine-tuning
AAAI 2026
QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain
WACV 2026
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
ICLR 2025
IPO: Interpretable Prompt Optimization for Vision-Language Models
NeurIPS 2024
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
ICML 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
NeurIPS 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
CVPR 2023
Hierarchical Variational Memory for Few-shot Learning Across Domains
ICLR 2022
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
ACL 2021
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains
ICLR 2021
Learning to Learn Kernels with Variational Random Features
ICML 2020
Learning to Learn Variational Semantic Memory
NeurIPS 2020
Learning to Learn with Variational Information Bottleneck for Domain Generalization
ECCV 2020
Variational Image Deraining
WACV 2020