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Shengjun Zhang

12 papers hereh-index 10435 citations24 works total

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

author position
  • first author5
  • middle author7

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • math.OC9
  • eess.SY2
  • eess.SP1
same name
  • Shengjun Zhang — 15 papers, h 6
  • Shengjun Zhang — 2 papers

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

activity
20192026
most citedA Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization

9 citations · 27 across the 11 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

math.OC2021

Accelerated Zeroth-order Algorithm for Stochastic Distributed Nonconvex Optimization

Shengjun Zhang, Colleen P. Bailey

This paper investigates how to accelerate the convergence of distributed optimization algorithms on nonconvex problems with zeroth-order information available only. We propose a ze…

math.OC2021

Accelerated Primal-Dual Algorithm for Distributed Non-convex Optimization

Shengjun Zhang, Colleen P. Bailey

This paper investigates accelerating the convergence of distributed optimization algorithms on non-convex problems. We propose a distributed primal-dual stochastic gradient descent…

math.OC2021★ 1 cited

Zeroth-Order Algorithms for Stochastic Distributed Nonconvex Optimization

Xinlei Yi, Shengjun Zhang, Tao Yang +1

In this paper, we consider a stochastic distributed nonconvex optimization problem with the cost function being distributed over n agents having access only to zeroth-order (ZO)…

math.OC2021

Convergence Analysis of Nonconvex Distributed Stochastic Zeroth-order Coordinate Method

Shengjun Zhang, Yunlong Dong, Dong Xie +3

This paper investigates the stochastic distributed nonconvex optimization problem of minimizing a global cost function formed by the summation of n local cost functions. We solve…

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