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Journal Articles
- 2025
[j1]Yujin Han, Taewan Kim:
CQAD: An Image Quality Assessment Dataset for CCTV. J. Multim. Inf. Syst. 12(3): 81-86 (2025)
Conference and Workshop Papers
- 2025
- [c6]Yuqing Wang, Shuhuai Ren, Zhijie Lin, Yujin Han, Haoyuan Guo, Zhenheng Yang, Difan Zou, Jiashi Feng, Xihui Liu:
Parallelized Autoregressive Visual Generation. CVPR 2025: 12955-12965 - [c5]Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu:
Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability. ICLR 2025 - 2024
- [c4]Yujin Han, Mingwenchan Xu, Leying Guan:
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection. AISTATS 2024: 2881-2889 - [c3]Yujin Han, Taewan Kim:
New Abnormal Behavior Detection for Patient Surveillance System. APSIPA 2024: 1-5 - [c2]Yujin Han, Difan Zou:
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference. ICML 2024 - [c1]Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj:
Slight Corruption in Pre-training Data Makes Better Diffusion Models. NeurIPS 2024
Informal and Other Publications
- 2025
- [i13]Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj:
Masked Autoencoders Are Effective Tokenizers for Diffusion Models. CoRR abs/2502.03444 (2025) - [i12]Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou:
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? CoRR abs/2502.04725 (2025) - [i11]Xunpeng Huang, Yujin Han, Difan Zou, Yian Ma, Tong Zhang:
Capturing Conditional Dependence via Auto-regressive Diffusion Models. CoRR abs/2504.21314 (2025) - [i10]Chika Maduabuchi, Hao Chen, Yujin Han, Jindong Wang:
Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation. CoRR abs/2505.21545 (2025) - [i9]Yujin Han, Hao Chen, Andi Han, Zhiheng Wang, Xinyu Lin, Yingya Zhang, Shiwei Zhang, Difan Zou:
Self-Contradiction as Self-Improvement: Mitigating the Generation-Understanding Gap in MLLMs. CoRR abs/2507.16663 (2025) - [i8]Longxiang Tang, Ruihang Chu, Xiang Wang, Yujin Han, Pingyu Wu, Chunming He, Yingya Zhang, Shiwei Zhang, Jiaya Jia:
Exploiting Discriminative Codebook Prior for Autoregressive Image Generation. CoRR abs/2508.10719 (2025) - 2024
- [i7]Yujin Han, Difan Zou:
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference. CoRR abs/2404.13815 (2024) - [i6]Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj:
Slight Corruption in Pre-training Data Makes Better Diffusion Models. CoRR abs/2405.20494 (2024) - [i5]Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu:
Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension Ability. CoRR abs/2411.19456 (2024) - [i4]Yuqing Wang, Shuhuai Ren, Zhijie Lin, Yujin Han, Haoyuan Guo, Zhenheng Yang, Difan Zou, Jiashi Feng, Xihui Liu
:
Parallelized Autoregressive Visual Generation. CoRR abs/2412.15119 (2024) - 2023
- [i3]Yujin Han, Mingwenchan Xu, Leying Guan:
Conformalized semi-supervised random forest for classification and abnormality detection. CoRR abs/2302.02237 (2023) - [i2]Yujin Han, Leying Guan:
GAN-based federated learning for label protection in binary classification. CoRR abs/2302.02245 (2023) - 2022
- [i1]Yujin Han, Pan Du, Kai Yang:
FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging. CoRR abs/2204.00976 (2022)
Coauthor Index
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