jwzhi.github.io - Jing Zhu

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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 , Vassilis N. Ioannidis and Christos Faloutsos in summer 2022. In 2023, I went back to LLNL to work on the exciting knowledge-infused gene prediction projects with Jay Thiagarajan , Mark Heimann and Christine Klymko . During my undergrad, I worked on multimodal learning with Andrew Owens , which inspired me a lot o

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). My goal is to build multimodal, structure-aware recommendation systems.

I am Jing Zhu, a PhD student at the University of Michigan, with Danai Koutra . My research includes recommendation, representation learning, multi-modal learning and alignment.

Links to jwzhi.github.io (5)

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