About Me
I am a full-time software engineer at Woven by Toyota Driverless e-Palette function. I am responsible for developing machine learning modules and hardware drivers for L4 autonomous driving vehicle. I have obtained a Master’s Degree in Information Science at The University of Tokyo Machine Intelligence Laboratory researching in the field of Vision and Language models and computational humor.
My fields of interest are machine learning in the field of multimodal humor understanding and autonomous driving technology. I am passionate about cross-disciplinary machine learning applications that empowers or enhances the ability of humans. My works range from humor understanding and generation which would enable effective cooperation between humans and robots, to autonomous driving which would enable people without access to safe public transportation to move around easily and safely.
News
- 2024.4 I am excited to start my new career as a full-time software engineer at Woven by Toyota
- 2024.3 I obtained the master’s degree of Information Science at The University of Tokyo Machine Intelligence Laboratory
- 2024.3 We have released a pre-print of our paper, Advancing Large Multi-modal Models with Explicit Chain-of-Reasoning and Visual Question Generation
- 2024.3 Our paper Content-Specific Humorous Image Captioning Using Incongruity Resolution Chain-of-Thought was accepted to NAACL 2024 Findings
- 2023.7 I have participated in a LLM Hackathon
- 2023.1 I started an internship at Corpy&Co.
- 2022.11: My presentation at GCLS Presentation Competition won the Corpy&Co. Award. [Competition Link]
- 2022.10: Our paper “Learning to Evaluate Humor in Memes Based on the Incongruity Theory” was accepted to “When creative AI meets conversational AI” a workshop at COLING2022. [Paper]
- 2022.9: I started an internship at Woven Planet Holdings, inc.
- 2022.5: I was accepted as a course student of International Graduate Program of Innovation for Intelligent World