Jaehyeong Jo

According to our database1, Jaehyeong Jo authored at least 18 papers between 2021 and 2026.

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Timeline

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Bibliography

2026
Omnilingual SONAR: Cross-Lingual and Cross-Modal Sentence Embeddings Bridging Massively Multilingual Text and Speech.
CoRR, March, 2026

MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models.
CoRR, February, 2026

Self-Refining Video Sampling.
CoRR, January, 2026

Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation.
CoRR, January, 2026

2025
Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models.
CoRR, June, 2025

Continuous Diffusion Model for Language Modeling.
CoRR, February, 2025

Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Conditional Synthesis of 3D Molecules with Time Correction Sampler.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Graph Generation with Diffusion Mixture.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models.
CoRR, 2023

Graph Generation with Destination-Driven Diffusion Mixture.
CoRR, 2023

Exploring Chemical Space with Score-based Out-of-distribution Generation.
Proceedings of the International Conference on Machine Learning, 2023

Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations.
Proceedings of the International Conference on Machine Learning, 2022

2021
Edge Representation Learning with Hypergraphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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