FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging. - Yujin Han; Pan Du 002; Kai Yang (CoRR, 2022)

GAN-based federated learning for label protection in binary classification. - Yujin Han; Leying Guan (CoRR, 2023)

Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection. - Yujin Han; Mingwenchan Xu; Leying Guan (AISTATS, 2024)

New Abnormal Behavior Detection for Patient Surveillance System. - Yujin Han; Taewan Kim (APSIPA, 2024)

Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference. - Yujin Han; Difan Zou (ICML, 2024)

Slight Corruption in Pre-training Data Makes Better Diffusion Models. - Hao Chen 102; Yujin Han; Diganta Misra; Xiang Li 106; Kai Hu 010; Difan Zou; Masashi Sugiyama; Jindong Wang 001; Bhiksha Raj (NeurIPS, 2024)

Parallelized Autoregressive Visual Generation. - Yuqing Wang; Shuhuai Ren; Zhijie Lin 001; Yujin Han; Haoyuan Guo; Zhenheng Yang; Difan Zou; Jiashi Feng; Xihui Liu (CVPR, 2025)

Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability. - Yujin Han; Lei Xu; Sirui Chen; Difan Zou; Chaochao Lu (ICLR, 2025)

Masked Autoencoders Are Effective Tokenizers for Diffusion Models. - Hao Chen; Yujin Han; Fangyi Chen; Xiang Li 001; Yidong Wang; Jindong Wang 001; Ze Wang 008; Zicheng Liu 001; Difan Zou; Bhiksha Raj (CoRR, 2025)

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

Capturing Conditional Dependence via Auto-regressive Diffusion Models. - Xunpeng Huang; Yujin Han; Difan Zou; Yian Ma; Tong Zhang 001 (CoRR, 2025)

Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation. - Chika Maduabuchi; Hao Chen; Yujin Han; Jindong Wang (CoRR, 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, 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, 2025)