Ke Sun

ajksunke AT pku.edu.cn

Ph.D. student

Personal Site

Biography

I am a Ph.D. student in the department of Mathematical and Statistical Sciences at University of Alberta, advised by Prof. Linglong Kong. Prior to that, I obtained my MPhil in Data Science at Peking University (PKU) in 2020, under the supervision of Prof. Zhouchen Lin and Prof. Zhanxing Zhu. Before studying in PKU, I obtained my bachelor’s degree in statistics from SouthWestern University of Finance and Economics (SWUFE) in 2017.

Interests

Trustworthy Machine Learning
Reinforcement Learning
Learning on Graphs

Education

Ph.D. in Statistical Machine Learning, 2020-2024

University of Alberta
M.S. in Data Science, 2017-2020

Peking University
B.S. in Statistics, 2013-2017

SouthWestern University of Finance and Economics

Publications @ZERO Lab

AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models. ICLR, 2021.

The design of deep graph models still remains to be investigated and the crucial part is how to explore and exploit the knowledge from …

Ke Sun , Zhouchen Lin , Zhanxing Zhu

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Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes. AAAI, 2020.

We propose a novel training algorithm to improve the generalization performance of GCNs on graphs with few labeled nodes.

Ke Sun , Zhouchen Lin , Zhanxing Zhu

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Virtual Adversarial Training on Graph ConvolutionalNetworks in Node Classification . PRCV, 2019.

The effectiveness of Graph Convolutional Networks (GCNs) has been demonstrated in a wide range of graph-based machine learning tasks. …

Ke Sun , Zhouchen Lin , Hantao Guo , Zhanxing Zhu

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