4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Learning, Solving and Optimizing PDEs with TensorGalerkin: an efficient high-performance Galerkin assembly algorithm
Shizheng Wen, Mingyuan Chi, Tianwei Yu +5
We present a unified algorithmic framework for the numerical solution, constrained optimization, and physics-informed learning of PDEs with a variational structure. Our framework i…
stat.ML2026
Fast Gibbs Sampling on Bayesian Hidden Markov Model with Missing Observations
Dongrong Li, Tianwei Yu, Xiaodan Fan
The Hidden Markov Model (HMM) is a widely-used statistical model for handling sequential data. However, the presence of missing observations in real-world datasets often complicate…
stat.ME2023★ 4 cited
Bayesian Functional Analysis for Untargeted Metabolomics Data with Matching Uncertainty and Small Sample Sizes
Guoxuan Ma, Jian Kang, Tianwei Yu
Untargeted metabolomics based on liquid chromatography-mass spectrometry technology is quickly gaining widespread application given its ability to depict the global metabolic patte…