Yuning You
9 papers · 2020–2024 · 4 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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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🔥 Unstoppable · Bronze
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The Questioner
Venues
Top co-authors
Research topics
Deep Learning
(9)
Machine Learning
(9)
Architectures
(8)
Learning Types · Machine Learning
(6)
Core Methods
(2)
Models
(2)
Optimization & Theory · Machine Learning
(2)
Techniques
(2)
Artificial Intelligence
(1)
Application Areas
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
self-supervised learning
(4)
representation learning
(4)
graph neural network
(4)
contrastive learning
(2)
transfer learning
(2)
graph representation learning
(2)
graph contrastive learning
(2)
graph convolutional network
(2)
data augmentation
(2)
adversarial training
(1)
variational inference
(1)
optimal transport
(1)
efficient training
(1)
graph structure
(1)
posterior estimation
(1)
uncertainty quantification
(1)
spectral regularization
(1)
bilevel optimization
(1)
unsupervised representation learning
(1)
neural network optimization
(1)
Papers
Latent 3D Graph Diffusion
ICLR 2024
Graph Domain Adaptation via Theory-Grounded Spectral Regularization
ICLR 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
NeurIPS 2023
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative
NeurIPS 2022
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How
ICLR 2022
Graph Contrastive Learning Automated
ICML 2021
Graph Contrastive Learning with Augmentations
NeurIPS 2020
L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
CVPR 2020
When Does Self-Supervision Help Graph Convolutional Networks?
ICML 2020