Scholar
Yingtao Tian
Google Scholar ID: 17Fe5K0AAAAJ
Sakana AI
Citations & Impact
Citations
2,399
H-index
19
i10-index
23
Publications
20
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- ‘DiffCJK: Conditional Diffusion Model for High-Quality and Wide-coverage CJK Character Generation’, ICCC'24 (Oral Presentation)
- ‘Position Paper: Leveraging Foundational Models for Black-Box Optimization’, accepted to ICML 2024
- ‘Dictionaries to the Rescue: Cross-Lingual Vocabulary Transfer for Low-Resource Languages Using Bilingual Dictionaries’, ACL 2025 Findings
- Multiple papers under submission, including ‘Emergence of Painting Ability via Recognition-Driven Evolution’ and ‘Evolving Collective AI: Beyond Individual Optimization’
- Public talks at MIT CSAIL, Waseda University, University of Southern California, Ritsumeikan University, CODH, etc.
Research Experience
- July 2022 – Present: Research Scientist at Sakana AI
- July 2022 – July 2022: Research Scientist at Google DeepMind (formerly Google Brain), Tokyo
- July 2019 – July 2022: Research Software Engineer at Google DeepMind (formerly Google Brain), Tokyo
- Summer 2018: Intern at Magenta, Google Brain – research on latent space of generative models
- Summer 2017: Intern at Facebook SearchNLP – research on Web Query Parsing and Natural Language Interface to Database Systems
- Summer & Fall 2016: Intern at Google Brain – research on representation learning
- Summer 2015: Intern at Google – profiling and analysis for user-generated activity
- Feb 2013 – Dec 2013: Intern at Microsoft Research Asia – semantic vector representation from knowledge bases and concept-level semantic analysis
Co-authors