Yihong Luo
8 papers · 2022–2025 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(6)
Models
(4)
Optimization & Theory
(4)
Computer Vision
(3)
Architectures
(3)
Generation
(3)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Keywords
graph neural network
(3)
one-step generation
(2)
node classification
(2)
diffusion distillation
(2)
text-to-image synthesis
(2)
markov chain monte carlo
(2)
energy-based model
(2)
temporal optimization
(1)
neural ordinary differential equation
(1)
variational autoencoder
(1)
low-rank adaptation
(1)
out-of-distribution detection
(1)
classifier-free guidance
(1)
model acceleration
(1)
sampling step
(1)
few-step generation
(1)
continuous normalizing flow
(1)
joint distribution matching
(1)
local similarity
(1)
heterophilic graph
(1)
Papers
Adding Additional Control to One-Step Diffusion with Joint Distribution Matching
ICCV 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
ICLR 2025
Learning Few-Step Diffusion Models by Trajectory Distribution Matching
ICCV 2025
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
ICLR 2025
Energy-Clibrated VAE with Test Time Free Lunch
ECCV 2024
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
NeurIPS 2024
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
IJCAI 2023
TO-FLOW: Efficient Continuous Normalizing Flows With Temporal Optimization Adjoint With Moving Speed
CVPR 2022