| Object-conditioned energy-based attention map alignment in text-to-image diffusion models Y Zhang, P Yu, YN Wu European Conference on Computer Vision, 55-71, 2025 | 5 | 2025 |
| Latent energy-based odyssey: Black-box optimization via expanded exploration in the energy-based latent space P Yu, D Zhang, H He, X Ma, R Miao, Y Lu, Y Zhang, D Kong, R Gao, J Xie, ... arXiv preprint arXiv:2405.16730, 2024 | 5 | 2024 |
| Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Y Zhang, P Yu, Y Zhu, Y Chang, F Gao, YN Wu, O Leong NeurIPS 2024, 2024 | 3 | 2024 |
| Skews in the phenomenon space hinder generalization in text-to-image generation Y Chang, Y Zhang, Z Fang, YN Wu, Y Bisk, F Gao European Conference on Computer Vision, 422-439, 2024 | 3 | 2024 |
| Statistical guarantees for lifelong reinforcement learning using pac-bayesian theory Z Zhang, C Chow, Y Zhang, Y Sun, H Zhang, EH Jiang, H Liu, F Huang, ... AISTATS 2025, 2024 | 1 | 2024 |
| Think twice before you act: Improving inverse problem solving with mcmc Y Zhu, Z Dou, H Zheng, Y Zhang, YN Wu, R Gao arXiv preprint arXiv:2409.08551, 2024 | 1 | 2024 |
| Object-Conditioned Energy-Based Model for Attention Map Alignment in Text-to-Image Diffusion Models Y Zhang, P Yu, YN Wu Synthetic Data for Computer Vision Workshop@ CVPR 2024, 2024 | 1 | 2024 |
| Transductive matrix completion with calibration for multi-task learning H Wang, Y Zhang, X Mao, Z Wang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory EH Jiang, Y Zhang, Z Zhang, Y Wan, A Lizarraga, S Li, YN Wu arXiv preprint arXiv:2411.17472, 2024 | | 2024 |
| DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting EH Jiang, Z Zhang, D Zhang, A Lizarraga, C Xu, Y Zhang, S Zhao, Z Xu, ... arXiv preprint arXiv:2410.11359, 2024 | | 2024 |
Ying Nian WuUCLA Department of Statistics and Data ScienceVerified email at stat.ucla.edu