Wei Dai

According to our database, Wei Dai authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Fine-Grained Video Question Answering.

Wei Dai, Alan Luo, Zane Durante, Debadutta Dash, Arnold Milstein, Kevin A. Schulman, Ehsan Adeli, Fei-Fei Li

CoRR, March, 2025

CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models.

Wei Dai, Peilin Chen, Malinda Lu, Daniel Li, Haowen Wei, Hejie Cui, Paul Pu Liang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2023

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks.

Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang

IEEE Trans. Medical Imaging, February, 2023

Transformer-Based Hierarchical Clustering for Brain Network Analysis.

Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne J. H. van Rooij, Carl Yang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Brain Network Transformer.

Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis.

Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract).

Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract).

Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis.

Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang

CoRR, 2021