most citedR-Mixup: Riemannian Mixup for Biological Networks

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20243 cited

Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM

Hejie Cui, Xinyu Fang, Ran Xu +3

Electronic Health Records (EHRs) have become increasingly popular to support clinical decision-making and healthcare in recent decades. EHRs usually contain heterogeneous informati…

cs.CL20231 cited

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting

Hejie Cui, Xinyu Fang, Zihan Zhang +7

Images contain rich relational knowledge that can help machines understand the world. Existing methods on visual knowledge extraction often rely on the pre-defined format (e.g., su…

q-bio.NC2023

Dynamic Brain Transformer with Multi-level Attention for Functional Brain Network Analysis

Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui +2

Recent neuroimaging studies have highlighted the importance of network-centric brain analysis, particularly with functional magnetic resonance imaging. The emergence of Deep Neural…

cs.LG20235 cited

R-Mixup: Riemannian Mixup for Biological Networks

Xuan Kan, Zimu Li, Hejie Cui +6

Biological networks are commonly used in biomedical and healthcare domains to effectively model the structure of complex biological systems with interactions linking biological ent…

cs.LG2023

Transformer-Based Hierarchical Clustering for Brain Network Analysis

Wei Dai, Hejie Cui, Xuan Kan +3

Brain networks, graphical models such as those constructed from MRI, have been widely used in pathological prediction and analysis of brain functions. Within the complex brain syst…