Hi there! This is Hejie Cui (pronounced as “He-jay Tsuee”, 崔鹤洁 in Chinese). I also go by the name Callie. I am currently a PhD student in Computer Science at Emory University, under the supervision of Dr. Carl Yang in Emory Graph Mining Lab. I have also been working with Dr. Eugene Agichtein in Emory Information Retrieval Lab.

Before joining Emory, I got my bachelor’s degree in Software Engineering from Tongji University, where I worked on medical image computer vision with Dr. Lin Zhang for my undergraduate thesis. I have also luckily worked with Dr. Tianwei Yu on machine learning for bioinformatics and Dr. Gabor Fichtinger on deep learning for web-cam videos.

My current research interests lie in machine learning with an emphasis on interpretable graph representation learning and its application to knowledge graphs and multi-modality data.

News

• 2022.04.15 Gave a talk on our work of BrainGB to Dr. Fatemeh Nargesian‘s group at the University of Rochester. Slides are available here. Thanks Draco for inviting me.
• 2022.04.01 Gave a talk on Effective and Interpretable Graph Neural Networks for Graphs Constructed from Multimodality Data at Microsoft Search, Assistant & Intelligence Group. Slides are available here. Thanks Kunho for inviting me.
• 2022.03.31 Paper entitled Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis got accepted to EMBC 2022.
• 2022.2.28 Paper entitle FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation got accepted to MIDL 2022.
• 2022.2.7 Glad to be accepted to the 2022A class of Google’s CS Research Mentorship Program (CSRMP)!
• 2021.12.19 Paper entitled Structure-Enhanced Heterogeneous Graph Contrastive Learning got accepted to SDM 2022.
• 2021.12.15 I will join Amazon as an Applied Scientist Intern in the Product Graph Team this coming summer.