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  • 👋 Hi, I’m Xin Wang
  • 👀 I’m interested in Graph Machine Learning for Science
  • 🌱 I’m currently working in the Network Data Science(NDS) Lab at Vanderbilt University.

Xin Wang's Projects

data_centric_transfer_scaffold icon data_centric_transfer_scaffold

[NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framework with diffusion model on graphs.

dconnnet icon dconnnet

Codes for CVPR2023 paper "Directional Connectivity-based Segmentation of Medical Images"

ddm2 icon ddm2

Official repository of DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models, ICLR2023

digress_project icon digress_project

code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

ece_594_final icon ece_594_final

Multi-voxel pattern analyses methods based on ML & DL to decode the category of visual stimuli viewed by a human subject based on their recorded brain activity in fMRI form

tuning_playbook icon tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

vignette-timeseries-anomaly-detection icon vignette-timeseries-anomaly-detection

Time series anomaly detection and change-point on the univariate (potentially multivariate case) for time series economic data from LA concerning unemployment

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