Zheyu Wen is a PhD student in University of Texas at Austin.
His interests include Computational medical image, Spatial temporal dynamic modeling, High performance computing and Machine Learning
Recently he attended equity research internship at PanAgora from May - Aug. 2024 .
I graduated from University of Electronic Science and Technology of China with BS in Communications Engineering in 2019.
Then, I completed the my M.S. degree in Electrical and Computer Engineering in 2021 in University of Michigan, Ann Arbor.
Research experience
Computational modeling, inversion for Alzheimer's disease
Jun. 2022 -- Now
Proposed new model describing pathological tau spreading.
Publication on MICCAI workshop MTSAIL+LEAF 2023.
On going work:
Solve ODE and sparsity constrained optimization problem with Newton method and Gradient informed sparsity.
Optimize a high dimensional variable using C++ CUDA and Parallel MCMC.
Construct brain connectivity matrix by CUPY and Joblib, and publish as a open software.
Representation learning of resting state fMRI with VAE
May 2020 -- Sep. 2021
Compressed high-dimensional fMRI image into a low dimension vector.
Publication on NeuroImage, 2021
Implement VAE by Pytorch focusing on 3D fMRI image.
Design a spatio-temporal dynamic model based on Neural ODE
Unrolling-net MRI reconstruction
Jun. 2021 -- Nov. 2021
Inspired from iterative inversion algorithm.
Unrolling-net iteratively call network for denoising, and achieves SOTA.