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Tianyi Yao
Tianyi Yao
Senior Applied Scientist, Microsoft
Verified email at microsoft.com
Title
Cited by
Cited by
Year
Quantifying cognitive resilience in Alzheimer’s Disease: The Alzheimer’s Disease Cognitive Resilience Score
T Yao, E Sweeney, J Nagorski, JM Shulman, GI Allen
Plos one 15 (11), e0241707, 2020
312020
Graphical Models and Dynamic Latent Factors for Modeling Functional Brain Connectivity
A Chang, T Yao, GI Allen
IEEE Data Science Workshop (DSW), 57-63, 2019
282019
Minipatch Learning as Implicit Ridge-Like Regularization
T Yao, D LeJeune, H Javadi, RG Baraniuk, GI Allen
2021 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2021
152021
Supervised Convex Clustering
M Wang, T Yao, GI Allen
Biometrics 79 (4), 3846–3858, 2023
132023
Feature Selection for Huge Data via Minipatch Learning
T Yao, GI Allen
arXiv preprint arXiv:2010.08529, 2021
122021
Clustered Gaussian Graphical Model via Symmetric Convex Clustering
T Yao, GI Allen
2019 IEEE Data Science Workshop (DSW), 76-82, 2019
82019
SAGEval: The frontiers of Satisfactory Agent based NLG Evaluation for reference-free open-ended text
R Ghosh, T Yao, L Chen, S Hasan, T Chen, D Bernal, H Jiao, HM Hossain
arXiv preprint arXiv:2411.16077, 2024
12024
Fast and Accurate Graph Learning for Huge Data via Minipatch Ensembles
T Yao, M Wang, GI Allen
arXiv:2110.12067, 2023
12023
Gaussian Graphical Model Selection for Huge Data via Minipatch Learning
T Yao, M Wang, GI Allen
arXiv, 2021
12021
Generative artificial intelligence form builder
R GHOSH, SJ FOZDAR, T YAO, H Jiao, HMS Hossain, J Chen, ...
US Patent App. US18/487,009, 2025
2025
Statistical Machine Learning Methodology for Feature Selection, Structured Data, and Graphical Model Selection
T Yao
Rice University, 2022
2022
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Articles 1–11