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 Email: xingcy@lamda.nju.edu.cn Laboratory: A302, Yifu Building, Xianlin Campus of Nanjing University

Biography

Currently I am a second 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.Eng. 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:

• Machine learning in open feature space.
• ...

Experience

• 2022.5-2022.12: Internship in the Hangzhou Innovation Institute, Beihang University and Beijing Transport Institute for the long-term traffic anomaly detection of Beijing road network.
  
  • Patent: 北京交通发展研究院. 一种基于双分支时空对比学习的长期交通异常检测方法: 202411043780.8[P]. 2024-11-12.
  • Package SAGOD for Static Attributed Graph Outlier Detection.
• 2022.3-2023.3 Intership in the competition data mining project in Department of Computer Science, Nanjing University.
  • The prposed method (基于多属性综合评价的院校竞赛评估模型) was published in Compute Science.

Publication

• C.-Y. Xing*, M.-Z. Qian*, W.-Y. Chen, W. Gao and Z.-H. Zhou. One-Pass Feature Evolvable Learning with Theoretical Guarantees. In: Proceedings of the 42nd International Conference on Machine Learning (ICML'25) , Vancouver, Canada, 2025.

Awards

• The 14th Chinese Collegiate Computing Competition (4C), 2021 First Prize.
• The Mathematical Contest in Modeling, 2022, Meritorious Winner.
• Graduate Study Scholarship Graduate Academic Scholarship, Grade 1, 2023
• Graduate Study Scholarship Graduate Academic Scholarship, Grade 1, 2024

Some code

In my spare time, I reinvent the wheels for fun:

• I build kernel SVM package PySVM for classification, regression and anomaly detection with NumPy, in order to understand how they work in scikit-learn.
• I also write a deep learning framework PyDyNet based on automatic differentiation with only Numpy.

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

Correspondence

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.)