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
Prof. Carl Yang in Emory Graph Mining (EGM) Lab. My research interests lie in interpretable machine learning, graph data mining, multi-modal learning, knowledge graphs, as well their applications in neuroscience and healthcare.
Previously, I got my bachelor’s degree in
Software Engineering at
Tongji University. During my undergraduate, I worked on computer vision for medical imaging with
Prof. Lin Zhang. In addition, I worked with
Prof. Tianwei Yu on machine learning for bioinformatics. I also spent a wonderful summer at
Prof. Gabor Fichtinger‘s
Perk Lab at the School of Computing, Queen’s University in Kingston, Canada through the
Mitacs program.
News
- [2022.8.1] Short paper on artificial node features for applying GNNs on non-attributed graphs got accepted to
CIKM 2022.
- [2022.7.27] Invited as a PC member for
AAAI 2023 regular track and the special track on AI for social impact.
- [2022.7.21] Invited as a reviewer for
TextGraphs workshop on
COLING 2022.
- [2022.6.23] We will be organizing the 1st International Workshop on Federated Learning with Graph Data
FedGraph2022, at
CIKM 2022, in Atlanta, Georgia this October. Various types of
submissions are welcomed!
- [2022.6.3] Paper on brain disease analysis with interpretable GNNs got accepted to
MICCAI 2022 (among the top 13% provisionally accepted ones in 1,825 submissions).
- [2022.6.2] Our work on cross-data brain networks got accepted to
KDD Health Day.
- [2022.5.30] Our work on functional brain network generation guided by task-aware GNNs has been selected for an oral presentation at
MIDL 2022.
- [2022.5.16] Started my research intern at the Amazon Product Knowledge Graph Team (Seattle). Drop me a message if you wish to grab a coffee together!
- [2022.4.15] We will be organizing the 1st International Workshop on Neural Network Models for Brain Connectome Analysis
BrainNN2022, at
IEEE BigData 2022, in Osaka, Japan this December. Various types of
submissions are welcomed!
Interests
- Graph Machine Learning
- GNNs for Multimodality Data
- Knowledge Graphs
- Commonsense Reasoning
Education
PhD in Computer Science, 2019-now
Emory University
BEng in Software Engineering, 2015-2019
Tongji University