| Taming encoder for zero fine-tuning image customization with text-to-image diffusion models X Jia, Y Zhao, KCK Chan, Y Li, H Zhang, B Gong, T Hou, H Wang, YC Su arXiv preprint arXiv:2304.02642, 2023 | 65 | 2023 |
| Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions Z Wang, P Yu, Y Zhao, R Zhang, Y Zhou, J Yuan, C Chen Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2019 | 48 | 2019 |
| Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling Y Zhao, J Xie, P Li International Conference on Learning Representations (ICLR), 2020 | 44 | 2020 |
| Structure-Aware Human-Action Generation P Yu, Y Zhao, C Li, C Chen European Conference on Computer Vision (ECCV), 2020 | 40 | 2020 |
| Feature quantization improves GAN training Y Zhao, C Li, P Yu, J Gao, C Chen International Conference on Machine Learning (ICML), 2020 | 40 | 2020 |
| Star identification algorithm based on K–L transformation and star walk formation Y Zhao, X Wei, J Li, G Wang IEEE Sensors Journal 16 (13), 5202-5210, 2016 | 39 | 2016 |
| Ufogen: You forward once large scale text-to-image generation via diffusion gans Y Xu, Y Zhao, Z Xiao, T Hou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 29 | 2024 |
| Unpaired Image-to-Image Translation via Latent Energy Transport Y Zhao, C Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 29 | 2020 |
| Bayesian Meta Sampling for Fast Uncertainty Adaptation Z Wang, Y Zhao, P Yu, R Zhang, C Chen International Conference on Learning Representations (ICLR), 2019 | 21 | 2019 |
| Rethinking deep face restoration Y Zhao, YC Su, CT Chu, Y Li, M Renn, Y Zhu, C Chen, X Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 17 | 2022 |
| Real-time star identification using synthetic radial pattern and its hardware implementation Y Zhao, X Wei, G Wang, J Li Acta Astronautica 131, 1-9, 2017 | 17 | 2017 |
| Mobilediffusion: Subsecond text-to-image generation on mobile devices Y Zhao, Y Xu, Z Xiao, T Hou arXiv preprint arXiv:2311.16567, 2023 | 13 | 2023 |
| Calibrating cnns for few-shot meta learning P Yang, S Ren, Y Zhao, P Li Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 12 | 2022 |
| Improve Variational Autoencoder for Text Generation with Discrete Latent Bottleneck Y Zhao, P Yu, S Mahapatra, Q Su, C Chen arXiv preprint arXiv:2004.10603, 2020 | 11* | 2020 |
| Variance Reduction in Stochastic Particle-Optimization Sampling J Zhang, Y Zhao, C Chen International Conference on Machine Learning (ICML), 2018 | 11 | 2018 |
| Instruct-Imagen: Image generation with multi-modal instruction H Hu, KCK Chan, YC Su, W Chen, Y Li, K Sohn, Y Zhao, X Ben, B Gong, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
| Remp: Rectified metric propagation for few-shot learning Y Zhao, C Li, P Yu, C Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 9 | 2021 |
| Towards authentic face restoration with iterative diffusion models and beyond Y Zhao, T Hou, YC Su, X Jia, Y Li, M Grundmann Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 7 | 2023 |
| Rethinking sentiment style transfer P Yu, Y Zhao, C Li, C Chen Findings of the Association for Computational Linguistics: EMNLP 2021, 1569-1582, 2021 | 7 | 2021 |
| Self-adversarially learned bayesian sampling Y Zhao, J Zhang, C Chen Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5893-5900, 2019 | 7 | 2019 |
Chen ChangyouAssistant Professor at University at BuffaloVerified email at buffalo.edu
