Cui, Hejie

12 publications

ICML 2025 CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models Wei Dai, Peilin Chen, Malinda Lu, Daniel A Li, Haowen Wei, Hejie Cui, Paul Pu Liang

ICLRW 2025 TIMER: Temporal Instruction Modeling and Evaluation for Longitudinal Clinical Records Hejie Cui, Alyssa Unell, Bowen Chen, Jason Alan Fries, Emily Alsentzer, Sanmi Koyejo, Nigam Shah

NeurIPS 2024 Biomedical Visual Instruction Tuning with Clinician Preference Alignment Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang

NeurIPS 2024 Microstructures and Accuracy of Graph Recall by Large Language Models Yanbang Wang, Hejie Cui, Jon Kleinberg

ICMLW 2023 A Survey on Knowledge Graphs for Healthcare: Resources, Application Progress, and Promise Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Tianfan Fu, Chen Ling, Joyce Ho, Fei Wang, Carl Yang

MIDL 2023 FBNETGEN: Task-Aware GNN-Based fMRI Analysis via Functional Brain Network Generation Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang

NeurIPSW 2023 Knowledge-Infused Prompting Improves Clinical Text Generation with Large Language Models Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce Ho, Carl Yang

AAAI 2023 Neighborhood-Regularized Self-Training for Learning with Few Labels Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang

NeurIPS 2023 Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang

CHIL 2023 PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis Yi Yang, Hejie Cui, Carl Yang

NeurIPS 2022 Brain Network Transformer Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang

ECML-PKDD 2021 Zero-Shot Scene Graph Relation Prediction Through Commonsense Knowledge Integration Xuan Kan, Hejie Cui, Carl Yang