Qingguo Hong

1. On the Activation Function Dependence of the Spectral Bias of Neural Networks
   2022/08/09 by Qingguo Hong, Jonathan W. Siegel, Hong, Qingguo +5 · 9 citations
   Computer Science · #Neural Networks and Applications #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
2. Greedy Training Algorithms for Neural Networks and Applications to PDEs
   2021/07/09 by Jonathan W. Siegel, Siegel, Jonathan W., Qingguo Hong +7 · 3 citations
   Engineering · Physics and Astronomy · #65H20 #65N22 #65N30 #Advanced Numerical Analysis Techniques #Advanced Numerical Methods in Computational Mathematics #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
3. Parameter-robust Uzawa-type iterative methods for double saddle point problems arising in Biot's consolidation and multiple-network poroelasticity models
   2019/10/14 by Qingguo Hong, Johannes Kraus, Hong, Qingguo +5 · 2 citations
   Engineering · Physics and Astronomy · #Advanced Numerical Methods in Computational Mathematics #Numerical methods in engineering #Electromagnetic Scattering and Analysis
4. A Unified Study of Continuous and Discontinuous Galerkin Methods
   2017/12/04 by Qingguo Hong, Hong, Qingguo, Fei Wang +5 · 1 citation
   Engineering · #65M12 #65M60 #65N30 #Advanced Numerical Methods in Computational Mathematics #Electromagnetic Simulation and Numerical Methods #FOS: Mathematics #Numerical Analysis (math.NA) #Numerical methods in engineering
5. A family of mixed-mixed strongly conservative finite element methods for Biot's model of consolidation
   2026/07/17 by Qingguo Hong, Johannes Kraus, Maria Lymbery
   #math.NA #cs.NA