Sitemap

Page Not Found

Biography

Archive Layout with Content

Posts by Category

Posts by Collection

Curriculum Vitae

Markdown

Page not in menu

Page Archive

Portfolio

Publications and Preprints

Sitemap

Posts by Tags

Talk map

Projects

Teaching

Terms and Privacy Policy

Blog posts

Jupyter notebook markdown generator

Future Blog Post

less than 1 minute read

Published: January 01, 2199

Blog Post number 4

less than 1 minute read

Published: August 14, 2015

Blog Post number 3

less than 1 minute read

Published: August 14, 2014

Blog Post number 2

less than 1 minute read

Published: August 14, 2013

Blog Post number 1

less than 1 minute read

Published: August 14, 2012

Portfolio item number 1

Portfolio item number 2

Log-rank-type tests for equality of distributions in high-dimensional spaces

Journal of Computational and Graphical Statistics, 2022

Liu L., Meng Y., Wu X., Ying Z., Zheng T. (2022). "Log-rank-type tests for equality of distributions in high-dimensional spaces." Journal of Computational and Graphical Statistics 31 (4), 1384-1396.

Scaling Up Bayesian Neural Networks with Neural Networks

Transactions on Machine Learning Research, 2023

Moslemi Z., Meng Y., Lan S., Shahbaba B. (2023). "Scaling Up Bayesian Neural Networks with Neural Networks." arXiv preprint: arXiv: 2312.11799, 2023

Stroke recurrence prediction using machine learning and segmented neural network risk factor aggregation

Discover Public Health, 2024

Ding, X., Meng, Y., Xiang, L. et al. Stroke recurrence prediction using machine learning and segmented neural network risk factor aggregation. Discov Public Health 21, 119 (2024). https://doi.org/10.1186/s12982-024-00199-6

Weakly-Supervised Multimodal Learning on MIMIC-CXR

Machine Learning for Health (ML4H) symposium 2024, 2024

Agostini A., Chopard D., Meng Y., Fortin N., Shahbaba B., Mandt S., Sutter T. M., Vogt J. E. (2024). "Weakly-Supervised Multimodal Learning on MIMIC-CXR" arXiv Preprint arXiv: 2411.10356, 2024.

Unity by Diversity: Improved Representation Learning in Multimodal VAEs

Advances in Neural Information Processing Systems 38 (NeurIPS 2024), 2024

Sutter T. M., Meng Y., Agostini A., Chopard D., Fortin N., Vogt J. E., Shahbaba B., Mandt S. (2024). "Unity by Diversity: Improved Representation Learning in Multimodal VAEs" arXiv Preprint arXiv: 2403.05300, 2024.

Natural Language Process: Lyrics Text Analysis in Music

Published: October 01, 2019

Statistical Machine Learning: Facial Emotion Recognition and Classification

Published: November 01, 2019

Feature Selection: Knockoff Filters

Published: December 01, 2019

Nonparametric Statistics: Log-Rank-Type Tests for High-Dimensional Testing

Published: April 01, 2022

Uncertainty Quantification: Scaling up Bayesian Neural Networks with Neural Networks

Published: December 01, 2023

AI for Neuroscience: Dynamical VAE and its Application on Hippocampal Ensembles

Published: December 01, 2023

Multimodal Learning: Improved Representation Learning in Multimodal VAEs

Published: February 01, 2024

AI for Public Health: Interpretable Supervised Encoder and Stroke Recurrence Prediction

Published: March 01, 2024

AI for Climate Science: Flow Matching for Unpaired Ice Crystal Analysis

Published: April 01, 2024

Stochastic Interpolants and Diffusion Models: Climate Analysis

Published: April 01, 2024

GU4222/GR5222 - Nonparametric Statistics TA

Graduate/ Undergraduate course, Columbia University, Department of Statistics, 2020

GU4234/GR5234 – Sample Survey TA

Graduate/ Undergraduate course, Columbia University, Department of Statistics, 2020

STATS 120A – Introduction to Probability and Statistics I Grader

Undergraduate course, University of California, Department of Statistics, 2022

STATS 210P – Statistical Methods I TA

Graduate course, University of California, Department of Statistics, 2023

STATS 7 – Basic Statistics TA

Undergraduate course, University of California, Department of Statistics, 2023

STATS 67 – Introduction to Probability and Statistics for Computer Science TA

Undergraduate course, University of California, Department of Statistics, 2023

STATS 67 – Introduction to Probability and Statistics for Computer Science TA

Undergraduate course, University of California, Department of Statistics, 2024

STATS 212 – Statistical Methods III: Methods for Correlated Data TA

Graduate course, University of California, Department of Statistics, 2024