KE TU 涂珂

This is the homepage of KE TU(涂珂), a fourth-year Ph.D candidate in the Department of Computer Science and Technology, Tsinghua University.

Biography

Ke Tu received his B.E. from the Department of Computer Science and Technology, Tsinghua University in 2015. He is currently pursuing the Ph.D. Degree in the Department of Computer Science and Technology in Tsinghua University. His research interests focus on machine learning on graphs, especially network representation learning and automatic machine learning on graphs. He conducts research under the supervision of Professor Wenwu Zhu and Professor Peng Cui.

Publications

  • Ke Tu, Jianxin Ma, Peng Cui, Jian Pei, Wenwu Zhu. AutoNE: Hyperparameter Optimization for Massive Network Embedding. KDD 2019. (Full Paper, Oral, acceptance rate 9.1%) (Page) (Paper) (Code) (Dataset)(Slides)
  • Ke Tu, Peng Cui, Xiao Wang, Philip S. Yu, Wenwu Zhu. Deep Recursive Network Embedding with Regular Equivalence. KDD 2018. (Full Paper, Oral, acceptance rate 10.8%) (Page) (Paper) (Code) (Slides)
  • Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu. Structural Deep Embedding for Hyper-Networks. AAAI 2018. (Full Paper, Oral, acceptance rate 11%) (Page) (Paper) (Code) (Slides)

Awards

  • 2017 Tencent rhino bird elite graduate program scholarship third prize
  • 2018 Tsinghua Zhongshimo scholarship