Yonglong Tian

Sinopec (China) — China

Computer Science · Physical Sciences

26h-index8.9kcitations67works4.62yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Domain Adaptation and Few-Shot Learning(22), Multimodal Machine Learning Applications(20), Advanced Neural Network Applications(17), Advanced Image and Video Retrieval Techniques(11), Human Pose and Action Recognition(10)

Publications67 total

The Effects of Soft-Segment Molecular Weight on the Structure and Properties of Poly(trimethylene terephthalate)-block-poly(tetramethylene glycol) Copolymers
Polymers·2025Open Access
Reprocessable cross-linked EPDM elastomers with dynamic and tuneable imine network based on electronic effect
Chemical Engineering Journal·2025
Latent Denoising Makes Good Tokenizers
ArXiv.org·2025Open Access
Vision-Language Models Do Not Understand Negation
2025· 5 cited
A post-marketing pharmacovigilance study of triazole antifungals: adverse event data mining and analysis based on the FDA adverse event reporting system database
Frontiers in Pharmacology·2025· 3 citedOpen Access
Vision-Language Models Do Not Understand Negation
arXiv (Cornell University)·2025· 1 citedOpen Access
Reprocessable Cross-Linked Epdm Elastomers with Dynamic and Tuneable Imine Network Based on Electronic Effect
SSRN Electronic Journal·2025Open Access
Personalized Representation from Personalized Generation
arXiv (Cornell University)·2024Open Access
Denoising Vision Transformers
Lecture notes in computer science·2024· 16 cited
Synchronously strengthening and plasticizing of unsaturated polyester resin based on styrene-maleic anhydride oligomer
Journal of Reinforced Plastics and Composites·2024· 2 cited
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens
arXiv (Cornell University)·2024· 1 citedOpen Access
Autoregressive Image Generation without Vector Quantization
arXiv (Cornell University)·2024· 4 citedOpen Access
Learning Vision from Models Rivals Learning Vision from Data
2024· 19 cited
Scaling Laws of Synthetic Images for Model Training … for Now
2024· 25 cited
Self-Correcting Self-Consuming Loops for Generative Model Training
arXiv (Cornell University)·2024Open Access
Denoising Vision Transformers
arXiv (Cornell University)·2024Open Access
Autoregressive Image Generation without Vector Quantization
2024· 2 cited
Learning Vision from Models Rivals Learning Vision from Data
arXiv (Cornell University)·2023Open Access
Scaling Laws of Synthetic Images for Model Training ... for Now
arXiv (Cornell University)·2023· 1 citedOpen Access
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
arXiv (Cornell University)·2023· 1 citedOpen Access
page 1 of 4Next →

Frequent Co-authors

Dilip Krishnan(13), Phillip Isola(13), Dina Katabi(9), Ping Luo(8), Xiaogang Wang(8), Xiaoou Tang(8), Tianhong Li(6), Lijie Fan(5), Joshua B. Tenenbaum(4), Wanli Ouyang(4), Xingyu Zeng(4), Shi Qiu(4), Hongsheng Li(4), Chen Change Loy(4), Hang Zhao(3), Cordelia Schmid(3), Shuo Yang(3), Zhe Wang(3), Mi Lu(3), Yuan Yuan(3)