Xin He

Orcid: 0000-0002-4896-2482

Affiliations:
  • Xihua University, School of Science, Chengdu, China
  • Sichuan University, Chengdu, China (PhD 2022)


According to our database1, Xin He authored at least 13 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Bibliography

2026
An Inexact Linearized Augmented Lagrangian Method for the Linearly Composite Convex Programming.
Asia Pac. J. Oper. Res., February, 2026

Accelerated forward-backward algorithms with subgradient corrections.
Comput. Optim. Appl., January, 2026

Fast convergence of primal-dual dynamical systems with implicit Hessian damping and Tikhonov regularization.
Commun. Nonlinear Sci. Numer. Simul., 2026

Accelerated linearized alternating direction method of multipliers with Nesterov extrapolation.
Commun. Nonlinear Sci. Numer. Simul., 2026

Accelerated primal-dual methods for strongly convex objective functions in continuous and discrete time.
Autom., 2026

2025
A General Mixed-Order Primal-Dual Dynamical System with Tikhonov Regularization.
J. Optim. Theory Appl., November, 2025

Accelerated quadratic penalty dynamic approaches with applications to distributed optimization.
Neural Networks, 2025

Inertial accelerated augmented Lagrangian algorithms with scaling coefficients to solve exactly and inexactly linearly constrained convex optimization problems.
J. Comput. Appl. Math., 2025

Non-ergodic convergence rate of an inertial accelerated primal-dual algorithm for saddle point problems.
Commun. Nonlinear Sci. Numer. Simul., 2025

2022
"Second-Order Primal" + "First-Order Dual" Dynamical Systems With Time Scaling for Linear Equality Constrained Convex Optimization Problems.
IEEE Trans. Autom. Control., 2022

Inertial accelerated primal-dual methods for linear equality constrained convex optimization problems.
Numer. Algorithms, 2022

Fast primal-dual algorithm via dynamical system for a linearly constrained convex optimization problem.
Autom., 2022

2021
Convergence Rates of Inertial Primal-Dual Dynamical Methods for Separable Convex Optimization Problems.
SIAM J. Control. Optim., 2021


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