Area of research
Materials Chemistry · Artificial Intelligence
Research interest
Research interests include Artificial neural network, Nonlinear system, Artificial intelligence, Computer science, Maxima and minima, and Partial differential equation.
Tackling the curse of dimensionality with physics-informed neural networks
Hutchinson Trace Estimation for high-dimensional and high-order Physics-Informed Neural Networks
When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization?
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
Adaptive activation functions accelerate convergence in deep and physics-informed neural networks
Depth with nonlinearity creates no bad local minima in ResNets
Effect of Depth and Width on Local Minima in Deep Learning
Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning
DSpace@MIT (Massachusetts Institute of Technology) 2019cited by 4position: first