CV

🏫Education

• B.S. in Xi’an, Northwest University, 2020
• M.S. in Changsha, Hunan University, 2023 (expected)

🛠️ Skills

• Approaches / Modles

  Commonly used machine learning algorithms about super/unsuper-vised learning, including LR, Decision trees, SVM, KNN, Kmeans, etc., and have experience of applying CNN, GNN, Transformer etc. in CV, Graph data, Audio. And I’m familiar with:

  • sklearn, xgboost
  • pandas, numpy
  • pytorch, tensorflow
  • linux, git
• Computer Basis

  Commonly used data structures, including list, binary tree, graph etc., and Database, OS, Network. Maybe I’m not so familiar with some aspects, but I can quickly understand the problem / principles.