Yujin Han

According to our database, Yujin Han authored at least 23 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation.

Yujie Wei, Yujin Han, Zhekai Chen, Yongming Li, Kaixun Jiang, Zhihang Liu, Quanhao Li, Zhiwu Qing, Xiang Wang, Zhen Xing, Ruihang Chu, Lingyi Hong, Yefei He, Junjie Zhou, Junqiu Yu, Yang Shi, Difan Zou, Kai Zhu, Shiwei Zhang, Yingya Zhang, Yu Liu, Xihui Liu, Hongming Shan

CoRR, May, 2026

AesRM: Improving Video Aesthetics with Expert-Level Feedback.

Yujin Han, Yujie Wei, Yefei He, Xinyu Liu, Tianle Li, Zichao Yu, Andi Han, Shiwei Zhang, Tingyu Weng, Difan Zou

CoRR, April, 2026

2025

ReViSE: Towards Reason-Informed Video Editing in Unified Models with Self-Reflective Learning.

Xinyu Liu, Hangjie Yuan, Yujie Wei, Jiazheng Xing, Yujin Han, Jiahao Pan, Yanbiao Ma, Chi-Min Chan, Kang Zhao, Shiwei Zhang, Wenhan Luo, Yike Guo

CoRR, December, 2025

Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance.

Yujie Wei, Shiwei Zhang, Hangjie Yuan, Yujin Han, Zhekai Chen, Jiayu Wang, Difan Zou, Xihui Liu, Yingya Zhang, Yu Liu, Hongming Shan

CoRR, October, 2025

Exploiting Discriminative Codebook Prior for Autoregressive Image Generation.

Longxiang Tang, Ruihang Chu, Xiang Wang, Yujin Han, Pingyu Wu, Chunming He, Yingya Zhang, Shiwei Zhang, Jiaya Jia

CoRR, August, 2025

Self-Contradiction as Self-Improvement: Mitigating the Generation-Understanding Gap in MLLMs.

Yujin Han, Hao Chen, Andi Han, Zhiheng Wang, Xinyu Lin, Yingya Zhang, Shiwei Zhang, Difan Zou

CoRR, July, 2025

Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation.

Chika Maduabuchi, Hao Chen, Yujin Han, Jindong Wang

CoRR, May, 2025

Capturing Conditional Dependence via Auto-regressive Diffusion Models.

Xunpeng Huang, Yujin Han, Difan Zou, Yian Ma, Tong Zhang

CoRR, April, 2025

Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?

Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou

CoRR, February, 2025

Masked Autoencoders Are Effective Tokenizers for Diffusion Models.

Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj

CoRR, February, 2025

CQAD: An Image Quality Assessment Dataset for CCTV.

Yujin Han, Taewan Kim

J. Multim. Inf. Syst., 2025

Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?

Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Masked Autoencoders Are Effective Tokenizers for Diffusion Models.

Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability.

Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Understanding Perceptual Quality in CCTV Images: A Benchmark Dataset and Entropy-Based Insights.

Yujin Han, Jiwoo Kang, Sanghoon Lee, Taewan Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Parallelized Autoregressive Visual Generation.

Yuqing Wang, Shuhuai Ren, Zhijie Lin, Yujin Han, Haoyuan Guo, Zhenheng Yang, Difan Zou, Jiashi Feng, Xihui Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

HIQA-DB: A Benchmark Dataset for Image Quality Assessment in Hospital Surveillance.

Yujin Han, Taewan Kim

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

2024

Slight Corruption in Pre-training Data Makes Better Diffusion Models.

Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference.

Yujin Han, Difan Zou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

New Abnormal Behavior Detection for Patient Surveillance System.

Yujin Han, Taewan Kim

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.

Yujin Han, Mingwenchan Xu, Leying Guan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

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

Yujin Han, Leying Guan

CoRR, 2023

2022

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

Yujin Han, Pan Du, Kai Yang

CoRR, 2022