Carnegie Mellon University

Machine learning alumnus Hanghang Tong portrayed

October 18, 2019

Tong Wins ICDM 2019 Tao Li Award

By Roberto Iriondo

Byron Spice
  • Director of Media Relations
  • 412-268-9068

Hanghang Tong, a 2009 Ph.D. alumnus of Carnegie Mellon University’s Machine Learning Department, has won the prestigious Tao Li Award from the International Conference on Data Mining (ICDM). 

The award recognizes researchers that have demonstrated significant impact in research, contribution, leadership, and services, in the areas of data mining, machine learning, and artificial intelligence, and have received their doctoral degree in the past ten years.

Tong is now an associate professor of computer science at the University of Illinois at Urbana-Champaign. His research interest is in large scale data mining and machine learning, especially for graph data with applications. He has received several awards, including SDM/IBM Early Career Data Mining Research Award (2018), National Science Foundation CAREER award (2017) and ICDM 2015 Highest-Impact Paper Award.

With over 100 publications and refereed articles, he is an associate editor of SIGKDD Explorations, an action editor of Data Mining and Knowledge Discovery, and an associate editor of Neurocomputing Journal.

Prior to joining the University of Illinois, Tong served on the faculties of Arizona State University and the City University of New York, as a research staff member at IBM T.J. Watson Research Center and as a post-doctoral fellow at CMU.

For More Information
Byron Spice | 412-268-9068 |
Virginia Alvino Young | 412-268-8356 |