Hi there! This is Hejie Cui (pronounced as “Her-jay Tsuee”, 崔鹤洁 in Chinese). 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 multimodal data mining and AI for health informatics. Check my CV for more details.

Previously, I got my bachelor’s degree (Valedictorian, GPA Ranking: 1/164) 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

• [2023.09] One paper on visual knowledge extraction with multimodality model prompting is accepted to NeurIPS'23. Thanks to my collaborators.
• [2023.09] Two papers on brain network analysis are accepted to PSB'24. Congrats to Alexis (High-Schooler)!
• [2023.08] Selected to participate in the 2023 EECS Rising Stars Workshop!
• [2023.07] One collaborative paper on dynamic graph is accepted to IEEE-BHI'23.
• [2023.06] Our survey paper on healthcare knowledge graph resources, applications, and promises is now accessible online. To be appeared at ICML-IMLH'23.
• [2023.05] One collaborative paper on biological data augmentation is accepted to KDD'23.
• [2023.05] One paper on multimodality information extraction is accepted to the Findings of ACL'23 and selected as Oral at the KDD Workshop on Knowledge Augmented Methods for NLP (KnowledgeNLP-KDD23).
• [2023.04] Our paper on GNN pre-training on brain networks is accepted to CHIL'23 (Oral). Glad to receive a Travel Grant! See you in Boston in June.
• [2023.02] I will join the Augmented Learning and Reasoning Group at Microsoft Research Redmond as a Research Intern in Summer 2023.
• [2023.01] Two collaborative papers on structure learning got accepted to ISBI'23.
• [2022.11] One collaborative paper on few-shot learning is accepted to AAAI'23 (Oral).
• [2022.11] Glad to receive NeurIPS AI4Science Travel Award!
• [2022.10] One Benchmark paper on Graph Neural Networks for Brain Networks has now been officially accepted to IEEE TMI (IF: 11.037).
• [2022.09] One collaborative paper on transformer is accepted to NeurIPS'22 (Spotlight).
• [2022.08] One paper on GNN node features is accepted to CIKM'22.
• [2022.06] One paper on interpretable GNNs is accepted to MICCAI'22 (Oral).
• [2022.06] One collaborative paper on meta-learning is accepted to KDD'22 (Health Day).