Scholar
Yonglong Tian
Google Scholar ID: OsP7JHAAAAAJ
Research Scientist, OpenAI
Citations & Impact
Citations
22,051
H-index
31
i10-index
40
Publications
20
Co-authors
52
list available
Publications
Resume (English only)
Academic Achievements
- - Recent Papers:
- - Autoregressive Image Generation without Vector Quantization, Tianhong Li, Yonglong Tian, He Li, Mingyang Deng, Kaiming He, arXiv 2024
- - Self-Correcting Self-Consuming Loops for Generative Model Training, Nate Gillman, Michael Freeman, Daksh Aggarwal, Chia-Hong Hsu, Calvin Luo, Yonglong Tian, Chen Sun, ICML 2024
- - Denoising Vision Transformers, Jiawei Yang, Katie Z Luo, Jiefeng Li, Kilian Q Weinberger, Yonglong Tian, Yue Wang, arXiv 2024
- - Learning Vision from Models Rivals Learning Vision from Data, Yonglong Tian*, Lijie Fan*, Kaifeng Chen, Dina Katabi, Dilip Krishnan, Phillip Isola, CVPR 2024
- - Scaling Laws of Synthetic Images for Model Training... for Now, Lijie Fan*, Kaifeng Chen, Dilip Krishnan, Dina Katabi, Phillip Isola, Yonglong Tian*, CVPR 2024
Research Experience
- - AI Researcher at Google DeepMind
Education
- - Ph.D. from MIT EECS in 2022, advised by Phillip Isola
- - M.Phil degree from CUHK, advised by Xiaoou Tang and Xiaogang Wang
- - Undergraduate degree from Tsinghua University
Background
- - Research Interests: Machine perception, generation and reasoning, mainly from the perspective of vision
- - Professional Field: Artificial Intelligence
- - Introduction: Currently an AI researcher at Google DeepMind, based in Cambridge.
