Yujin Han

26 papers A* 6A 1Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability.
ICLR
Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu
2025 J jnl
CQAD: An Image Quality Assessment Dataset for CCTV.
J. Multim. Inf. Syst.
Yujin Han, Taewan Kim
2025 A* conf
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?
ICML
Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou
2025 J jnl
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?
CoRR
Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou
2025 J jnl
Capturing Conditional Dependence via Auto-regressive Diffusion Models.
CoRR
Xunpeng Huang, Yujin Han, Difan Zou, Yian Ma, Tong Zhang
2025 J jnl
Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation.
CoRR
Chika Maduabuchi, Hao Chen, Yujin Han, Jindong Wang
2025 J jnl
Exploiting Discriminative Codebook Prior for Autoregressive Image Generation.
CoRR
Longxiang Tang, Ruihang Chu, Xiang Wang, Yujin Han, Pingyu Wu, Chunming He, Yingya Zhang, Shiwei Zhang, Jiaya Jia
2025 — conf
HIQA-DB: A Benchmark Dataset for Image Quality Assessment in Hospital Surveillance.
APSIPA
Yujin Han, Taewan Kim
2025 A* conf
Masked Autoencoders Are Effective Tokenizers for Diffusion Models.
ICML
Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj
2025 J jnl
Masked Autoencoders Are Effective Tokenizers for Diffusion Models.
CoRR
Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj
2025 A* conf
Parallelized Autoregressive Visual Generation.
CVPR
Yuqing Wang, Shuhuai Ren, Zhijie Lin, Yujin Han, Haoyuan Guo, Zhenheng Yang, Difan Zou, Jiashi Feng, Xihui Liu
2025 J jnl
ReViSE: Towards Reason-Informed Video Editing in Unified Models with Self-Reflective Learning.
CoRR
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
2025 J jnl
Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance.
CoRR
Yujie Wei, Shiwei Zhang, Hangjie Yuan, Yujin Han, Zhekai Chen, Jiayu Wang, Difan Zou, Xihui Liu, Yingya Zhang, Yu Liu, Hongming Shan
2025 J jnl
Self-Contradiction as Self-Improvement: Mitigating the Generation-Understanding Gap in MLLMs.
CoRR
Yujin Han, Hao Chen, Andi Han, Zhiheng Wang, Xinyu Lin, Yingya Zhang, Shiwei Zhang, Difan Zou
2025 — conf
Understanding Perceptual Quality in CCTV Images: A Benchmark Dataset and Entropy-Based Insights.
ICCVW
Yujin Han, Jiwoo Kang, Sanghoon Lee, Taewan Kim
2024 J jnl
Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension Ability.
CoRR
Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu
2024 A conf
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection.
AISTATS
Yujin Han, Mingwenchan Xu, Leying Guan
2024 A* conf
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference.
ICML
Yujin Han, Difan Zou
2024 J jnl
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference.
CoRR
Yujin Han, Difan Zou
2024 — conf
New Abnormal Behavior Detection for Patient Surveillance System.
APSIPA
Yujin Han, Taewan Kim
2024 J jnl
Parallelized Autoregressive Visual Generation.
CoRR
Yuqing Wang, Shuhuai Ren, Zhijie Lin, Yujin Han, Haoyuan Guo, Zhenheng Yang, Difan Zou, Jiashi Feng, Xihui Liu
2024 A* conf
Slight Corruption in Pre-training Data Makes Better Diffusion Models.
NeurIPS
Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj
2024 J jnl
Slight Corruption in Pre-training Data Makes Better Diffusion Models.
CoRR
Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj
2023 J jnl
Conformalized semi-supervised random forest for classification and abnormality detection.
CoRR
Yujin Han, Mingwenchan Xu, Leying Guan
2023 J jnl
GAN-based federated learning for label protection in binary classification.
CoRR
Yujin Han, Leying Guan
2022 J jnl
FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging.
CoRR
Yujin Han, Pan Du, Kai Yang