Yu, Peiyu

8 publications

ICLR 2026 EdiVal-Agent: An Object-Centric Framework for Automated, Fine-Grained Evaluation of Multi-Turn Editing Tianyu Chen, Yasi Zhang, Zhi Zhang, Peiyu Yu, Shu Wang, Zhendong Wang, Kevin Lin, Xiaofei Wang, Zhengyuan Yang, Linjie Li, Chung-Ching Lin, Jianwen Xie, Oscar Leong, Lijuan Wang, Ying Nian Wu, Mingyuan Zhou

ICLR 2026 ``Noisier'’ Noise Contrastive Estimation Is (Almost) Maximum Likelihood Peiyu Yu, Dinghuai Zhang, Hengzhi He, Xiaojian Ma, Sirui Xie, Ruiyao Miao, Yifan Lu, Yasi Zhang, Deqian Kong, Ruiqi Gao, Jianwen Xie, Guang Cheng, Ying Nian Wu

NeurIPS 2024 Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, Oscar Leong

ECCV 2024 Object-Conditioned Energy-Based Attention mAP Alignment in Text-to-Image Diffusion Models Yasi Zhang, Peiyu Yu, Ying Nian Wu

NeurIPS 2024 UltraEdit: Instruction-Based Fine-Grained Image Editing at Scale Haozhe Zhao, Xiaojian Ma, Liang Chen, Shuzheng Si, Rujie Wu, Kaikai An, Peiyu Yu, Minjia Zhang, Qing Li, Baobao Chang

NeurIPS 2023 Learning Energy-Based Prior Model with Diffusion-Amortized MCMC Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu

ICML 2022 Latent Diffusion Energy-Based Model for Interpretable Text Modelling Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu

NeurIPS 2021 Unsupervised Foreground Extraction via Deep Region Competition Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu