Hejie Cui

Hejie Cui

Doctoral Student in CS

Emory University


Hi there! This is Hejie Cui (pronounced as “He-jay Tsuee”, 崔鹤洁 in Chinese). I also go by the name Hygeia. 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 Intelligent Information Access Lab.

Before joining Emory, I got my bachelor’s degree in Software Engineering from Tongji University, where I was working with Dr. Lin Zhang.

My current research interests lie in machine learning with an emphasis on graph representation learning and its application to brain network analysis and multi-modality data.




Research Intern


Dec 2018 – Jul 2019 Beijing, China

Pulmonary Vessel Segmentation based on OrthogonalFused U-Net++ of Chest CT Images:

  • Worked as a intern algorithm engineer in the Intelligent Medical Group.
  • Developed a pulmonary vessel segmentation algorithm based on my updated network, an orthogonal fused U-Net++, for chest CT images.
  • Published a patent on my intern work and got one paper accepted by MICCAI (International Conference on Medical Image Computing and Computer Assisted Intervention, which is the tier 1 conference in medical imaging field) 2019 as the first author

Mitacs Global Research Intern

Queens University

Jul 2018 – Oct 2018 Kingston, Cananda

Improve Center Line Tutor by Deep Learning:

  • Built an extension for classifying web-cam video images using Tensorflow in 3D Slicer
  • Used Tensorflow in real-time workflow detection for providing real-time feedback in central venous catheterization training.
  • Made distortion such as deforming, cropping, or brightening in the training inputs in random ways to polish the model, analyzed the influence of each parameters to get the best retrained model.

Software Engineer Intern


Jul 2017 – Aug 2017 Shanghai, China
Helped to develop SAP ERP system and use the HANA database to process enterprise management data

Recent Posts

Pytorch Geometric Environment

traps of pytorch, cuda, gcc version conflicts

Tmux and Screen 常用指令

frequent using command, multiple session ssh


  • PC Member:
    • 2022 AAAI Conference on Artificial Intelligence
    • 2021 ICML Workshop on Interpretable Machine Learning in Healthcare
    • 2021 ICCV Workshop on Computer Vision for Automated Medical Diagnosis
    • 2020 MICCAI International Conference on Medical Image Computing and Computer Assisted Intervention
  • Journal Reviewer:
    • IEEE Transactions on Big Data
  • Volunteer:
    • 2021 ICML International Conference on Machine Learning
    • 2020 ICML International Conference on Machine Learning
  • Teaching:
    • CS 253 Data Structures and Algorithms, TA, Spring 2021
    • CS 584 Natural Language Processing for Biomedical Applications, Head TA, Fall 2020
    • CS 584 Deep Learning in Biomedical Applications, Head TA, Spring 2020