About Me

I am Jing Zhu, a second year PhD student at the University of Michigan. My advisor is Danai Koutra. I have also interned at LLNL with Mark Heimann in summer 2021 and AWS DGL Team with Xiang Song in summer 2022.

My past research includes unsupervised graph learning (SDM 2021, CIKM 2022), and multimodal learning (EMNLP 2021, NeurIPS 2022). Currently I work more on link prediction using a variety of methods (GNNs, KGEs, LMs).

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