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yijiudd/README.md

About Me

I’m a graduate student in Computer Science and Communication Engineering at Waseda University, affiliated with the Advanced Multimedia Systems Lab. My research focuses on image recognition (pose estimation) and image generation (human image synthesis). I have hands-on experience fine-tuning generative models such as Stable Diffusion and ControlNet, and I have also worked on building multi-agent AI systems using LLMs. I’m deeply interested in Machine Learning and Software Engineering.

Work experience

  • Sony Research - Engineering Intern (Feb 2024 - July 2025)
  • ByteDance - Frontend Engineer (July 2021 - Nov 2022)
  • ByteDance - Frontend Engineer Intern (Sep 2020 - March 2021)

Education

  • M.S. in Computer Science and Communication Engineering, Waseda University, 2023-2025
  • B.S. in Electronic Information Science and Technology, Beijing University of Posts and Telecommunications, 2017-2021

Projects

  • Dataset preparation for coding language translation
    Task · Slides · Dataset · Code

  • LLM-based chatbot capable of handling Q&A related to items in an e-commerce company's inventory
    Task · Design · Code

  • Generate novel Kanji by finetuning stable diffusion model with Lora
    Slides · Dataset · Experiment

  • GastroHealth: AI-Driven System for Personalized Nutritional Guidance
    Demo

Publications

International Conferences

  1. Uchenna Akujuobi, Jiu Yi, Maria Enrique Chung, Tarek R. Besold.
    Gastro-Health Project: Revolutionizing Personalized Nutrition and Health Forecasting Through Integrated AI Technologies AI4X 2025, Oral, April 2025. Paper
  2. Jiu Yi, Haoyuan Liu, Hiroshi Watanabe. Distilled RSN: Lightweight Pose Estimation Using Knowledge Distillation, GCCE 2024. Paper

Domestic Conferences

  1. Jiu Yi, Hiroshi Watanabe. Improving the Accuracy of Pose-Guided Human Image Generation Via Multi-stage ControlNet Fine-Tuning. ITE Annual Convention. Paper

Blogs

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  1. blog blog Public

    add blog to personal website

    TypeScript