Open-source · github.com/YuZh98/latex2arxiv

Open-source · github.com/YuZh98/VAE-fMRI-Alzheimer

A recurrent 3D-conv VAE for resting-state fMRI volumes, in the same family as Kim et al. (2021) but with a linear latent transition solved in closed form by ridge regression rather than learned by SGD. Ships with a synthetic data path so you can run it without ADNI access; every example fits on a laptop CPU.

Open-source · github.com/YuZh98/Anti-correlation-Gaussian

Code accompanying the paper Gibbs Sampling using Anti-correlation Gaussian Data Augmentation, with Applications to L1-ball-type Models.

Files

Quick start

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source("SliceSampler.R")
source("SourceCode.R")

set.seed(1)
n <- 100; p <- 20
X <- matrix(rnorm(n * p), n, p)
beta_true <- c(rep(2, 5), rep(0, p - 5))
y <- as.numeric(X %*% beta_true + rnorm(n))

fit <- l1ball.linreg(X, y, steps = 4000, burnin = 2000, thin = 1,
                     init_method = "random", verbose = FALSE)
round(fit$theta.est, 2)

To reproduce the paper’s linear-regression figures:

Open-source · github.com/YuZh98/combinatorial-regression

Reproducibility code for the paper Statistical Modeling for Combinatorial Response Data. Includes the MH-within-Gibbs sampler, kernel comparison experiments, and waterfowl matching data analysis.

Quick Start

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# Sanity check
make smoke
make probit_smoke

# Main simulation study (MH-within-Gibbs)
make full

# Kernel comparison (supplementary)
make kernel_compare

# Data analysis (waterfowl matching)
make duck_full      # full model
make duck_reduced   # reduced model

Simulation study

The default make full runs both exponential and half-Gaussian kernels. To run only the main-paper kernel:

Open-source · github.com/YuZh98/latex2ufdissertation

A safety-net validator for UF doctoral dissertations using the Fall 2025+ University of Florida LaTeX template. Given a project archive, project directory, git URL, or compiled PDF, it produces a severity-tiered report citing the originating UF rule for each finding — one more pair of eyes before clicking submit.

Open-source · github.com/YuZh98/academic-application-tracker

A local Streamlit dashboard that answers one question every morning: “What do I do today?”

Track dozens of postdoc, PhD, faculty, and fellowship applications in parallel — deadlines, recommendation letters, materials checklists, interview rounds — without a single missed follow-up.

Open-source · github.com/YuZh98/quant-prep-terminal

Everything you need to prepare for a quantitative-finance interview, packed into one HTML file: cheatsheets, flashcards, and a small lab where you can build an option position and watch its payoff in real time. No install, no sign-up — open it and study.