Academic Experience

During M.S.

Sep 2020 - Aug 2022
Key Courses
  • Machine Learning for Visual Understanding
    • Team Project: Image Deblurring with Generative Diffusion Process
  • Practical Application Research of IoT·AI·Big Data
    • Personal Project: Various GANs and its Application(Face Aging)
  • Mathematical Algorithm
  • Numerical Analysis

During B.S.

Mar 2016 - Aug 2020
Key Courses
  • Mathematical Modeling and Computational Experiments
    • Team Project: Text Detection based on YOLO v3
  • Combinatorial Optimization
  • Linear and Non-linear Optimization
  • Operation Research

Continual Learning

A journey of continuous growth.
Textbooks
  • [Sumio Watanabe] Algebraic Geometry and Statistical Learning Theory
  • [Cuturi] Computational Optimal Transport
  • [Kevin Murphy] Probabilistic Machine Learning
  • [de Berg] Computational Geometry
  • [S. Boyd] Convex optimization
Open Courses
  • CS224W: Machine Learning with Graphs by Stanford University
  • CS329S: Machine Learning Systems Design by Stanford University
  • CS231n: Convolutional Neural Networks for Visual Recognition by Stanford University