Cun-yuan Xing @ LAMDA, NJU-AI
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.
My research interests include:
(Online) Machine learning in open feature space.
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.
The 14th Chinese Collegiate Computing Competition (4C), First Prize.
The Mathematical Contest in Modeling, 2022, Meritorious Winner.
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.
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.
You can refer to my GitHub
for more details.
Cun-yuan Xing, National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox
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.)