Int-Deep: A Deep Learning Initialized Iterative Method for Nonlinear Problems
Random Batch Methods for classical and quantum N-body problems
Bodies with congruent conic sections or non-central sections.
Automorphism group and twisted modules of twisted Heisenberg-Virasoro vertex operator algebras
Some results for the convergence of Euler-Voigt equations to Euler equations
Frequency Principle in Deep Learning and MscaleDNN for learning high frequency
Deforming vertex algebras by module and comodule actions of vertex bialgebras.
Non-uniform dependence on initial data for the Camassa-Holm equation in Besov spaces
Finite dimensional representations for a class of GIM Lie algebra
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