Search Results for author: Xuan Kan

Found 15 papers, 11 papers with code

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

no code implementations19 Feb 2024 Hejie Cui, Xinyu Fang, ran Xu, Xuan Kan, Joyce C. Ho, Carl Yang

While there has been a lot of research on representation learning of structured EHR data, the fusion of different types of EHR data (multimodal fusion) is not well studied.

Decision Making Representation Learning

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models

1 code implementation1 Nov 2023 ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce Ho, Carl Yang

Clinical natural language processing requires methods that can address domain-specific challenges, such as complex medical terminology and clinical contexts.

Clinical Knowledge Knowledge Graphs +1

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

1 code implementation5 Sep 2023 Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl Yang

However, the conventional approach involving static brain network analysis offers limited potential in capturing the dynamism of brain function.

R-Mixup: Riemannian Mixup for Biological Networks

no code implementations5 Jun 2023 Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang

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

Data Augmentation

Transformer-Based Hierarchical Clustering for Brain Network Analysis

1 code implementation6 May 2023 Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang

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


Neighborhood-Regularized Self-Training for Learning with Few Labels

1 code implementation10 Jan 2023 ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce Ho, Chao Zhang, Carl Yang

Our further analysis demonstrates that our proposed data selection strategy reduces the noise of pseudo labels by 36. 8% and saves 57. 3% of the time when compared with the best baseline.

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks

1 code implementation1 Nov 2022 Yue Yu, Xuan Kan, Hejie Cui, ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

To better adapt GNNs for fMRI analysis, we propose TBDS, an end-to-end framework based on \underline{T}ask-aware \underline{B}rain connectivity \underline{D}AG (short for Directed Acyclic Graph) \underline{S}tructure generation for fMRI analysis.

Time Series Time Series Analysis

Brain Network Transformer

2 code implementations13 Oct 2022 Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang

Human brains are commonly modeled as networks of Regions of Interest (ROIs) and their connections for the understanding of brain functions and mental disorders.


Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning

1 code implementation9 Jun 2022 Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang

Specifically, we propose to meta-train the model on datasets of large sample sizes and transfer the knowledge to small datasets.


FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation

1 code implementation25 May 2022 Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang

In particular, we formulate (1) prominent region of interest (ROI) features extraction, (2) brain networks generation, and (3) clinical predictions with GNNs, in an end-to-end trainable model under the guidance of particular prediction tasks.

Time Series Time Series Analysis

Effective and Interpretable fMRI Analysis via Functional Brain Network Generation

no code implementations23 Jul 2021 Xuan Kan, Hejie Cui, Ying Guo, Carl Yang

Recent studies in neuroscience show great potential of functional brain networks constructed from fMRI data for popularity modeling and clinical predictions.

Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration

1 code implementation11 Jul 2021 Xuan Kan, Hejie Cui, Carl Yang

Relation prediction among entities in images is an important step in scene graph generation (SGG), which further impacts various visual understanding and reasoning tasks.

Graph Generation Graph Mining +2

Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues

1 code implementation14 Aug 2019 Chris Xiaoxuan Lu, Xuan Kan, Bowen Du, Changhao Chen, Hongkai Wen, Andrew Markham, Niki Trigoni, John Stankovic

Inspired by the fact that most people carry smart wireless devices with them, e. g. smartphones, we propose to use this wireless identifier as a supervisory label.

Face Recognition

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