Kaize Ding

I'm an incoming Assistant Professor in Statistics and Data Science at Northwestern University. Prior to joining Northwestern, I obtained my Ph.D. degree in Computer Science at Arizona State University in 2023 under the supervision of Prof. Huan Liu. Before that, I received my master's and bachelor's degrees from Beijing University of Posts and Telecommunications (BUPT).

My research interests are generally in data mining, machine learning, and natural language processing, with a particular focus on graph mining/graph machine learning, data-efficient learning, and reliable AI. Meanwhile, I am passionate about developing knowledge-guided AI algorithms to advance high-impact applications in various domains, such as cybersecurity, information retrieval, and healthcare.

Contact

Email

kaize.ding[AT]asu.edu

Links

News

  • [06/2023] Our RelKD workshop@KDD'24 is calling for papers.
  • [05/2023] Three papers got accepted in KDD 2023.
  • [05/2023] Invited to be the core member of  IEEE Task Force on Learning for Graphs (LG).
  • [02/2023] Defend my dissertation.
  • [11/2022] Our tutorial Graph Minimally-supervised Learning has been accepted at SDM'23.
  • [11/2022] Check out our SIGKDD Exlorations survey on Data Augmentation for Deep Graph Learning.
  • [10/2022] One paper got accepted in WSDM 2023.
  • [11/2021] Invited to be PC member of KDD 2022, IJCAI 2022.
  • [12/2021] One paper got accepted in AAAI 2022.
  • [10/2021] One paper got accepted in WSDM 2022.
  • [08/2021] One paper got accepted in EMNLP 2021.
  • [08/2021] Two papers got accepted in CIKM 2021.
  • [08/2021] Invited to be PC member of WSDM 2022.
  • [01/2021] One paper got accepted in WWW 2021.
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