He to deliver keynote at WSDM workshop

Jingrui He
Jingrui He, Associate Professor

Associate Professor Jingrui He will be a keynote speaker at the Machine Learning on Graphs Workshop during the 15th Association for Computing Machinery (ACM) International WSDM Conference. WSDM, which will be held virtually on February 21-25, is one of the premier conferences on web-inspired research involving search and data mining.

At the workshop, He will present "Towards Understanding Rare Categories on Graphs." Rare categories refer to underrepresented minority classes in large imbalanced data sets. According to He, rare category examples play pivotal roles in many high-impact applications, especially in the security domain. She recently was awarded a three-year $500,000 grant from the National Science Foundation (NSF) to develop explainable techniques to detect and track rare categories.

"In my keynote, I will identify a few of the key challenges that we face when trying to analyze such rare categories and discuss recent work towards three major goals in response to these challenges: detection, representation, and generation," she said. "I will also share my thoughts regarding future directions in this area."

He's general research theme is to design, build, and test a suite of automated and semi-automated methods to explore, understand, characterize, and predict real-world data by means of statistical machine learning. She received her PhD in machine learning from Carnegie Mellon University.

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