Yujin Han

According to our database1, Yujin Han authored at least 14 papers between 2022 and 2025.

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Bibliography

2025
Exploiting Discriminative Codebook Prior for Autoregressive Image Generation.
CoRR, August, 2025

Self-Contradiction as Self-Improvement: Mitigating the Generation-Understanding Gap in MLLMs.
CoRR, July, 2025

Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation.
CoRR, May, 2025

Capturing Conditional Dependence via Auto-regressive Diffusion Models.
CoRR, April, 2025

Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?
CoRR, February, 2025

Masked Autoencoders Are Effective Tokenizers for Diffusion Models.
CoRR, February, 2025

Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Parallelized Autoregressive Visual Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Slight Corruption in Pre-training Data Makes Better Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

New Abnormal Behavior Detection for Patient Surveillance System.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2024

Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
GAN-based federated learning for label protection in binary classification.
CoRR, 2023

2022
FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging.
CoRR, 2022


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