Cun-yuan Xing @ LAMDA, NJU-AI


邢 存 远
Cun-yuan Xing
M.Sc. Student, LAMDA Group
School of Artificial Intelligence
National Key Laboratory for Novel Software Technology
Nanjing University, Nanjing 210023, China

Supervisor: Wei Gao

Laboratory: A3__, Yifu Building, Xianlin Campus of Nanjing University


Currently I am a first year graduate student of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group, which is led by professor Zhi-Hua Zhou.

I received my B.Sc. degree from School of Artificial Intelligence, Nanjing University in June 2023. In the same year, I was admitted to study for a M.Sc. degree in Nanjing University without entrance examination.

Research Interests

My research interests include:

  • (Online) Machine learning in open feature space.
  • ...
  • Experience

  • From May 2022 to December 2022, I was an intern at the Hangzhou Innovation Institute, Beihang University and participated in the long-term traffic anomaly detection of Beijing road network using graph neural network.
  • From March 2022 to March 2023, I participated in the competition data mining project in Department of Computer Science, Nanjing University, and proposed a new index for competition evaluation.
  • Awards

  • The 14th Chinese Collegiate Computing Competition (4C), First Prize.
  • The Mathematical Contest in Modeling, 2022, Meritorious Winner.
  • Some wheels

    In my spare time, I reinvent the wheels for fun and better understanding the authors' ideas. So
  • If you are interested in how SVM works in scikit-learn, you can refer to my PySVM, where I construct kernel SVM for classification, regression and anomaly detection with NumPy.

    Downloads Downloads

  • If you wonder how deep learning framework like Pytorch works, PyDyNet is suitable for you. I build a deep learning framework based on automatic differentiation on dynamic graph with only Numpy.

    Downloads Downloads

  • You can refer to my GitHub and technical blog for more details.


    Address: Cun-yuan Xing, National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
    (南京市栖霞区仙林大道163号, 南京大学仙林校区603信箱, 软件新技术国家重点实验室, 210023.)