Yingjun Du
15 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (6)
🐝
Cross-Pollinator
(13)
🌍
Conference Polyglot
(8)
🤝
Dynamic Duo
(10)
🏆
Grand Slam
🗃️
Keyword Collector
(50)
💎
Century Club
(14)
🚀
Conference Pioneer
🔥
Unstoppable
(7)
Conferences
ICLR (3)
NIPS (3)
ICML (2)
WACV (2)
AAAI (1)
ACL (1)
CVPR (1)
ECCV (1)
IJCNLP (1)
Top co-authors
Keywords
few-shot learning
(6)
variational inference
(5)
semantic memory
(3)
word sense disambiguation
(2)
hierarchical bayesian
(1)
gradient descent
(1)
batch normalization
(1)
random feature
(1)
prompt learning
(1)
kernel learning
(1)
text-to-image generation
(1)
message passing
(1)
feature hierarchy
(1)
autonomous driving
(1)
domain generalization
(1)
semantic similarity
(1)
generative model
(1)
diffusion 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
NIPS 2024
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
CVPR 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
ICML 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
NIPS 2023
Hierarchical Variational Memory for Few-shot Learning Across Domains
ICLR 2022
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
IJCNLP 2021
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains
ICLR 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
ACL 2021
Learning to Learn Variational Semantic Memory
NIPS 2020
Variational Image Deraining
WACV 2020
Learning to Learn Kernels with Variational Random Features
ICML 2020
Learning to Learn with Variational Information Bottleneck for Domain Generalization
ECCV 2020