Yang Zhao
My current research focuses on:
Multimodal AI, Natural Language Processing
Deep generative models, e.g. GAN, VAE and EBM.
Deep Bayesian Learning
[Email: yzhao63@buffalo.edu; yzhaoeric@google.com] GitHub Google Scholar LinkedIn
News
Mar. 2022, One paper has been accepted to CVPR 2022.
Feb. 2021, One paper has been accepted to CVPR 2021.
Jan. 2021, One paper on EBMs has been accepted to ICLR 2021.
Jul. 2020, One paper on graph-based action generation has been accepted to ECCV 2020.
Professional Experiences
Research Intern & Student Researcher, May 2021 - Dec. 2021
Research Intern on Generative Modeling, May 2020 - Dec. 2020
Research Intern on Text Generation, May 2019 - Aug. 2019
Publications
Preprint
Arxiv Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models (arxiv)
Xuhui Jia*, Yang Zhao*, Kelvin C.K. Chan*, Yandong Li, Han Zhang, Boqing Gong, Tingbo Hou, Huisheng Wang, Yu-Chuan Su
An efficient approach for personalization based on diffusion models. No need for fine-tuning.
2024
CVPR UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs (arxiv)
Yanwu Xu∗, Yang Zhao∗, Zhisheng Xiao∗, Tingbo Hou
Conference on Computer Vision and Pattern Recognition
CVPR Instruct-Imagen: Image generation with Multi-modal Instruction (arxiv)
Hexiang Hu, Kelvin CK Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William Cohen, Ming-Wei Chang, Xuhui Jia
Conference on Computer Vision and Pattern Recognition
2023
ICCV Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond (arxiv)
Yang Zhao, Tingbo Hou, Yu-Chuan Su, Xuhui Jia, Yandong Li and Matthias Grundmann
International Conference on Computer Vision
AAAI CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning (Oral) (Paper)
Yang Zhao, Jianwen Xie, Ping Li
Association for the Advancement of Artificial Intelligence
2022
CVPR Rethinking Deep Face Restoration (Paper)
Yang Zhao, Yu-Chuan Su, Chun-Te Chu, Yandong LI, Marius Renn, Yukun Zhu, Changyou Chen, Xuhui Jia
Conference on Computer Vision and Pattern Recognition
2021
WACV Calibrating CNNs for Few-Shot Meta Learning (Paper)
Peng Yang, Shaogang Ren, Yang Zhao, Ping Li
Winter Conference on Applications of Computer Vision
CVPRW ReMP: Rectified Metric Propagation for Few-Shot Learning (Oral) (arxiv)
Yang Zhao, Chunyuan Li, Ping Yu, Changyou Chen
CVPR Workshop on Leaning from Limited and Imperfect Data (L2ID)
CVPR Unpaired Image-to-Image Translation via Latent Energy Transport (Paper, Code)
Yang Zhao, Changyou Chen
Conference on Computer Vision and Pattern Recognition
ICLR Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling (Paper, Poster)
Yang Zhao, Jianwen Xie, Ping Li
International Conference on Learning Representations
2020
ECCV Structure-Aware Human-Action Generation (Paper, Code)
Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen
European Conference on Computer Vision
ICML Feature Quantization Improves GAN Training (Paper, Code)
Yang Zhao*, Chunyuan Li*, Ping Yu, Jianfeng Gao, Changyou Chen
International Conference on Machine Learning
ICML Variance Reduction in Stochastic Particle-Optimization Sampling (Paper)
Jianyi Zhang, Yang Zhao, Changyou Chen
International Conference on Machine Learning
ICLR Bayesian Meta Sampling for Fast Uncertainty Adaptation (Paper, Code)
Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, Changyou Chen
International Conference on Learning Representations
AAAI Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions (Spotlight) (Paper, Code)
Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen
Association for the Advancement of Artificial Intelligence
2019
AAAI Self-Adversarially Learned Bayesian Sampling (Paper)
Yang Zhao, Jianyi Zhang, Changyou Chen
Association for the Advancement of Artificial Intelligence
2017
Real-time Star Identification Algorithm using Synthetic Radial Pattern and its Hardware Implementation (Paper)
Yang Zhao, Xinguo Wei, Jian Li and Gangyi Wang
Acta Astronautica, 2017 (Impact factor: 2.954)
2016
Star Identification Algorithm Based on K-L Transformation and Star Walk Formation (Paper)
Yang Zhao, Xinguo Wei, Jian Li and Gangyi Wang
IEEE Sensors Journal, 2016 (Impact factor: 4.325)
Professional Services
Program Committee & Reviewer:
IJCAI 2019, 2021; AAAI 2020-2023; CVPR 2020-2022; ECCV 2022; NeurIPS 2020-2022; ICML 2021-2022; ICLR 2021-2022
Journal Reviewer:
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Neural Network and Learning Systems
IEEE Multimedia