3 citations · 3 across the 1 of their papers we have counts for
3 papers
stat.ME2020★ 3 cited
APIK: Active Physics-Informed Kriging Model with Partial Differential Equations
Jialei Chen, Zhehui Chen, Chuck Zhang +1
Kriging (or Gaussian process regression) is a popular machine learning method for its flexibility and closed-form prediction expressions. However, one of the key challenges in appl…
eess.SP2019
Learning the Treatment Effects on FTIR Signals Subject to Multiple Sources of Uncertainties
Hongzhen Tian, Andi Wang, Jialei Chen +5
Fourier-transform infrared spectroscopy (FTIR) is a versatile technique for characterizing the chemical composition of the various uncertainties, including baseline shift and multi…
cs.CV2018
Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation
Jialei Chen, Yujia Xie, Kan Wang +6
Machine learning methods play increasingly important roles in pre-procedural planning for complex surgeries and interventions. Very often, however, researchers find the historical…