This is Kaiyuan Zhang , a Ph.D. student in Department of Computer Science at Purdue University, fortunately advised by Prof. Xiangyu Zhang. My research interests focus on security in machine learning, especially graph-related domains.

Research Interests

  • Graph representation learning, Graph neural networks
  • Interpretable & trustworthy deep learning for graphs
  • Visual analytics of large-scale graphs

I received an M.S. in Computer Science from The University of Texas at Dallas in 2020, working with Prof. Wei Yang, and a B.E. in Network Engineering from Chang’an University in 2017. I have been very fortunate to work with a number of wonderful people. I was a visiting student at University of Illinois at Urbana-Champaign, working with Prof. Tao Xie, Prof. Tianyin Xu and Prof. Jian Peng, and a full-time research intern at State Key Laboratory of CAD&CG, Zhejiang University, working with Prof. Wei Chen.

What’s New

  • 06/2020, Student volunteer at SIGMOD 2020.
  • 04/2020, See you in ICLR 2020 virtual conference.
  • 04/2020, Boiler up! Incoming CS PhD student at Purdue University.
  • 10/2019, Actively looking for a Ph.D. position.
  • 07/2019, GraphTour of Neo4j at Chicago.
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Selected Awards

  • Excellent Bachelor Thesis Award, 2017
    Awarded to students with excellent graduate thesis, top ~5% students.
  • National Scholarship, 2016
    Highest level of scholarship set by Ministry of Education of China, top ~0.2% in China.