Jaehyeong Jo
11 papers · 2021–2026 · 5 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
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (24) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π€
Dynamic Duo
(10)
π
Triple Crown
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(6)
ποΈ
Keyword Collector
(55)
Venues
Top co-authors
Research topics
Deep Learning
(11)
Models
(10)
Machine Learning
(9)
Core Methods
(7)
Computer Vision
(6)
Generation
(5)
Application Areas
(3)
Architectures
(3)
Learning Types Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Keywords
diffusion model
(7)
molecular generation
(3)
diffusion process
(2)
text-to-image generation
(2)
conditional generation
(2)
graph generation
(2)
drug discovery
(2)
image quality
(2)
graph neural network
(2)
score-based model
(2)
score matching
(1)
message passing
(1)
talking head generation
(1)
direct preference optimization
(1)
image generation
(1)
semantic alignment
(1)
riemannian manifold
(1)
data poisoning
(1)
graph diffusion
(1)
motion generation
(1)
Papers
Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation
CVPR 2026
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models
CVPR 2025
Conditional Synthesis of 3D Molecules with Time Correction Sampler
NeurIPS 2024
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
ICLR 2024
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
ICML 2024
Graph Generation with Diffusion Mixture
ICML 2024
Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models
NeurIPS 2024
Exploring Chemical Space with Score-based Out-of-distribution Generation
ICML 2023
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models
ICCV 2023
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
ICML 2022
Edge Representation Learning with Hypergraphs
NeurIPS 2021