YesAI Lab, ShanghaiTech University

Sep 1, 2022 · 1 min read
internships

Overview

Research Member -ShanghaiTech University, 2022 – 2025*

Generative Modeling Research

  • Conducted research on diffusion-based generative models for image synthesis, image restoration, and controllable generation.
  • Participated in projects spanning computer vision and small-molecule generation under structured optimization objectives.
  • Explored model architecture design, training strategies, and generation-quality enhancement techniques.

Academic Research Workflow

  • Participated in the complete lifecycle of top-tier conference publications, including literature review, problem formulation, model design, experimentation, and manuscript preparation.
  • Co-authored a peer-reviewed publication as the third author.
  • Accumulated three years of continuous research experience in generative modeling and deep learning.

Experimental Development

  • Reproduced and extended recent research papers in diffusion models and generative learning.
  • Designed model improvements and conducted hyperparameter optimization for training stability and generation quality.
  • Performed systematic analysis of model convergence behavior and output fidelity.
Diffusion Models Computer Vision Generative AI Drug Discovery Deep Learning
YiFan Cai
Authors
YiFan Cai (he/him)
Graduate student
I am a graduate student in Systems Engineering at the University of Pennsylvania, with a B.S. in Computer Science from ShanghaiTech University. I have research experience in diffusion models, computer vision, robotic manipulation, and molecular drug design. My current interests focus on world models, computer vision, and artificial intelligence.