Hi there! I am a first year PhD student at
Computer Science Department,
Cornell Univeresity.
I received my B.S. and B.Eng. degree from
Jilin University and
Sun Yat-sen Univeristy respectively,
both in computer science.
My general research interest is to develop unified trustworthy ML systems that are robust, fair, generalizable, and can be more seamlessly deployed to a wide range of settings effectively, automatically, and continually with minimal human supervision.
My previous research focused on weakly supervised mechine learning for structured data (i.e., graph neural networks). I worked on class imbalanced node classification (KDD'23), graph contrastive learning (KDD'23, TKDE), and representation learning on heterogeneous information networks (ICDM'21).
How to pronounce my name? Wen-Jee Lee.
