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Defeng Sun

4 papers hereh-index 27 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.OC3
  • math.NA1
same name
  • Defeng Sun — 11 papers, h 6
  • Defeng Sun — 10 papers, h 7
  • Defeng Sun — 5 papers, h 55
  • Defeng Sun — 4 papers, h 1
  • Defeng Sun — 2 papers, h 1
  • Defeng Sun — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

math.OC2026

Convergence Analysis of the Restarted Moving-Anchored Extra-Gradient Method in the Absence of Local Lipschitz Continuity

Defeng Sun, Liping Zhang, Wei Zhao

In this paper, we introduce the moving-anchored extra-gradient (MAEG) method for solving monotone inclusion problems involving the sum of a continuous monotone operator and a maxim…

math.NA2026

Low-Rank Tensor Completion using Tensor Train Decomposition via Riemannian Optimization on the Quotient Geometry

Zhenlong Hu, Zhongming Chen, Defeng Sun +1

Owing to the effectiveness of Tensor Train (TT) decomposition in managing high-order tensors, low-rank tensor completion within the TT-format has emerged as a prominent research fo…

math.OC2026

Factorized low-rank matrix recovery problem, Schatten-q quasi-norm, Error bound for critical point, Kurdyka-Łojasiewicz property, Inexact proximal alternating linearized minimization

Yongjun Chen, Defeng Sun, Liping Zhang

The Schatten-q quasi-norm is a widely used nonconvex rank surrogate and matrix factorization is an effective approach to reduce computational cost. In this paper, we consider the…

math.OC2025

On Error Bounds for Rank-Constrained Affine Matrix Sets

Ruoning Chen, Defeng Sun, Liping Zhang

Rank-constrained matrix problems appear frequently across science and engineering. The convergence analysis of iterative algorithms developed for these problems often hinges on loc…

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