Data Mining and Machine Learning Laboratory
School of Computing, Informatics, and Decision Systems Engineering
Arizona State University
Email: kaize.ding AT asu DOT edu
Before that, I obtained my master and bachelor degrees from Beijing University of Posts and Telecommunications(BUPT).
My research interests generally lie in data mining and machine learning, recently I'm focusing on graph neural networks, and its applications such as anomaly detection, recommendation, etc.
[04/2020] One paper got accepted in SIGIR 2020.
[04/2020] One paper got accepted in IJCAI-PRICAI 2020.
[03/2020] Invited to be PC member of IJCAI 2020, ECML-PKDD 2020.
[10/2019] Our paper got accepted in WSDM 2020.
Next-item Recommendation with Sequential Hypergraphs [pdf] [bib]
Jianling Wang, Kaize Ding, Liangjie Hong, Huan Liu and James Caverlee
In Proceedings of the ACM International SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
Inductive Anomaly Detection on Attributed Networks [pdf] [bib]
Kaize Ding, Jundong Li, Nitin Aagarwal and Huan Liu
In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2020
Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion [pdf] [bib]
Kaize Ding*, Jianling Wang*, Ziwei Zhu, Yin Zhang and James Caverlee (*equal contribution)
In Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM), 2020
InterSpot: Interactive Spammer Detection in Social Media (demo paper) [pdf] [bib]
Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, and Huan Liu
In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2019
Deep Anomaly Detection on Attributed Networks with Graph Convolutional Networks [pdf] [code]
Kaize Ding, Jundong Li, Rohit Bhanushali, and Huan Liu
In Proceedings of the SIAM International Conference on Data Mining (SDM), 2019
Honors and Awards
- ASU Engineering Graduate Fellowship, 2019, 2020
- ASU GPSA Travel Award, 2019
- SDM Student Travel Award, 2019
- Stars of Tomorrow (Award of Excellent Intern), Microsoft Research Asia, 2017
KDD'19, WWW'19, SIGIR'18, ASONAM'18
- Microsoft Research Asia, Intern of Software Analysis Group, 2017
- Chinese University of Hong Kong, Research Assistant, 2017
- Microsoft Research Asia, Intern of Big Data Mining Group, 2016
- Meituan, 2015
- Sogou, 2014