Han, Yujin

12 publications

ICLR 2026 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

ICLR 2026 Turning Internal Gap into Self-Improvement: Promoting the Generation-Understanding Unification in MLLMs Yujin Han, Hao Chen, Andi Han, Zhiheng Wang, Xinyu Liu, Yingya Zhang, Shiwei Zhang, Difan Zou

ICLR 2025 Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension Ability Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu

ICML 2025 Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou

ICLRW 2025 Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou

ICML 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

CVPR 2025 Parallelized Autoregressive Visual Generation Yuqing Wang, Shuhuai Ren, Zhijie Lin, Yujin Han, Haoyuan Guo, Zhenheng Yang, Difan Zou, Jiashi Feng, Xihui Liu

AISTATS 2024 Conformalized Semi-Supervised Random Forest for Classification and Abnormality Detection Yujin Han, Mingwenchan Xu, Leying Guan

ICML 2024 Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference Yujin Han, Difan Zou

ICMLW 2024 On the Discrepancy and Connection Between Memorization and Generation in Diffusion Models Hanyu Wang, Yujin Han, Difan Zou

NeurIPS 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

NeurIPSW 2023 DISK: Domain Inference for Discovering Spurious Correlation with KL-Divergence Yujin Han, Difan Zou