BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis. - Hejie Cui; Wei Dai 013; Yanqiao Zhu 001; Xiaoxiao Li; Lifang He 001; Carl Yang 001 (CoRR, 2021)

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract). - Hejie Cui; Wei Dai 013; Yanqiao Zhu 001; Xuan Kan; Antonio Aodong Chen Gu; Joshua Lukemire; Liang Zhan; Lifang He 001; Ying Guo 003; Carl Yang 001 (IEEE Big Data, 2022)

Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract). - Wei Dai 013; Hejie Cui; Xuan Kan; Ying Guo 003; Carl Yang 001 (IEEE Big Data, 2022)

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. - Hejie Cui; Wei Dai 013; Yanqiao Zhu 001; Xiaoxiao Li; Lifang He 001; Carl Yang 001 (MICCAI (8), 2022)

Brain Network Transformer. - Xuan Kan; Wei Dai 013; Hejie Cui; Zilong Zhang; Ying Guo 003; Carl Yang 001 (NeurIPS, 2022)

Transformer-Based Hierarchical Clustering for Brain Network Analysis. - Wei Dai 013; Hejie Cui; Xuan Kan; Ying Guo 003; Sanne J. H. van Rooij; Carl Yang 001 (ISBI, 2023)

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. - Hejie Cui; Wei Dai 013; Yanqiao Zhu 001; Xuan Kan; Antonio Aodong Chen Gu; Joshua Lukemire; Liang Zhan; Lifang He 001; Ying Guo 003; Carl Yang 001 (IEEE Trans. Medical Imaging, 2023)

Towards Fine-Grained Video Question Answering. - Wei Dai 013; Alan Luo; Zane Durante; Debadutta Dash; Arnold Milstein; Kevin A. Schulman; Ehsan Adeli 001; Fei-Fei Li 001 (CoRR, 2025)

CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models. - Wei Dai 013; Peilin Chen; Malinda Lu; Daniel Li; Haowen Wei; Hejie Cui; Paul Pu Liang (CoRR, 2025)