Deyu Bo
8 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17)
🏆
Grand Slam
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(6)
Architectures
(5)
Core Methods
(4)
Learning Types · Deep Learning
(4)
Learning Types · Machine Learning
(3)
Application Areas · Machine Learning
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Analysis
(1)
Application Areas · Deep Learning
(1)
Models
(1)
Optimization & Theory
(1)
Representation
(1)
Keywords
graph neural network
(4)
graph augmentation
(2)
graph contrastive learning
(2)
graph representation
(2)
graph representation learning
(1)
batch normalization
(1)
semi-supervised learning
(1)
least squares loss
(1)
self-supervised learning
(1)
spectral analysis
(1)
node classification
(1)
consistency regularization
(1)
dataset distillation
(1)
node feature
(1)
frequency analysis
(1)
message passing
(1)
spectral graph neural network
(1)
frequency adaptation
(1)
singular vector
(1)
soft label
(1)
Papers
Beyond Soft Label: Dataset Distillation via Orthogonal Gradient Matching
CVPR 2026
Point Cloud Dataset Distillation
ICML 2025
Graph Distillation with Eigenbasis Matching
ICML 2024
Graph Contrastive Learning with Stable and Scalable Spectral Encoding
NeurIPS 2023
Specformer: Spectral Graph Neural Networks Meet Transformers
ICLR 2023
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations
AAAI 2022
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
NeurIPS 2022
Beyond Low-frequency Information in Graph Convolutional Networks
AAAI 2021