Area of research
Computational Theory and Mathematics · Atomic and Molecular Physics, and Optics
Research interest
Research interests include Mathematics, Saddle point, Preconditioner, Hermitian matrix, Applied mathematics, and Discretization.
Residual attention enhanced Time-varying Multi-Factor Graph Convolutional Network for traffic flow prediction
A Study on the Effect of Turbulence Intensity on Dual Vertical-Axis Wind Turbine Aerodynamic Performance
Research on Aerodynamic Performance of Asynchronous-Hybrid Dual-Rotor Vertical-Axis Wind Turbines
Spatial–Temporal Complex Graph Convolution Network for Traffic Flow Prediction
PKET-GCN: Prior knowledge enhanced time-varying graph convolution network for traffic flow prediction
PLU-MCN: Perturbation learning enhanced U-shaped multi-graph convolutional network for traffic flow prediction
A modified Newton-based matrix splitting iteration method for generalized absolute value equations
Convergence analysis of projected SOR iteration method for a class of vertical linear complementarity problems
Modulus-Based Matrix Splitting Iteration Method for Horizontal Quasi-complementarity Problem
Influence of Magnetic Pole Stepping Combined with Auxiliary Stator Slots on the Stability of Dual-Rotor Disc Motors
An accelerated modulus-based matrix splitting iteration method for mixed-size cell circuits legalization
Global-Local Spatial-Temporal Residual Correlation Network for Urban Traffic Status Prediction
A Hybrid RBF Collocation Method and Its Application in the Elastostatic Symmetric Problems
Comparative Study of Numerical Analysis of Compacted Strand and Round Strand under Axial Tensile Load
Numerical study on energy-extraction performance of a flapping hydrofoil with a trailing-edge flap
Cell‐by‐cell approximate Schur complement technique in preconditioning of meshfree discretized piezoelectric equations
Spatial-Temporal 3D Residual Correlation Network for Urban Traffic Status Prediction
A block positive-semidefinite splitting preconditioner for generalized saddle point linear systems
A relaxed generalized Newton iteration method for generalized absolute value equations
Shift-splitting preconditioners for a class of block three-by-three saddle point problems
Two-step modulus-based matrix splitting iteration methods for implicit complementarity problems
Evaluating the Safety Risk of Rural Roadsides Using a Bayesian Network Method
Block triangular preconditioners based on symmetric-triangular decomposition for generalized saddle point problems
Modified Newton-Type Iteration Methods for Generalized Absolute Value Equations
Minimum residual Hermitian and skew-Hermitian splitting iteration method for non-Hermitian positive definite linear systems
Convergence analysis of modulus-based matrix splitting iterative methods for implicit complementarity problems
A general class of shift-splitting preconditioners for non-Hermitian saddle point problems with applications to time-harmonic eddy current models
Regularized DPSS preconditioners for non-Hermitian saddle point problems
A Modified Relaxed Positive-Semidefinite and Skew-Hermitian Splitting Preconditioner for Generalized Saddle Point Problems
Numerical modeling and optimization of a power augmented S-type vertical axis wind turbine