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Peng Yi

25 papers hereh-index 242.8k citations74 works total

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

author position
  • first author6
  • middle author14
  • last author4

Across the 24 of 25 papers where every author was matched, so the position is known.

fields
  • math.OC19
  • eess.SY3
  • cs.CV1
  • cs.GT1
  • cs.LG1
same name
  • Peng Yi — 5 papers, h 3
  • Peng Yi — 4 papers, h 23
  • Peng Yi — 4 papers, h 4
  • Peng Yi — 4 papers, h 4
  • Peng Yi — 3 papers, h 3
  • Peng Yi — 3 papers, h 22

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
20152022
most citedInitialization-free Distributed Algorithms for Optimal Resource Allocation with Feasibility Constraints and its Application to Economic Dispatch of Power Systems

489 citations · 1.2k across the 25 of their papers we have counts for

collaborators
Showing 2015 · math.OCShow all

3 papers · 2 filters

math.OC2015★ 1 cited

Distributed Resource Allocation Over Random Networks Based on Stochastic Approximation

Peng Yi, Jinlong Lei, Yiguang Hong

In this paper, a stochastic approximation (SA) based distributed algorithm is proposed to solve the resource allocation (RA) with uncertainties. In this problem, a group of agents…

math.OC2015★ 489 cited

Initialization-free Distributed Algorithms for Optimal Resource Allocation with Feasibility Constraints and its Application to Economic Dispatch of Power Systems

Peng Yi, Yiguang Hong, Feng Liu

In this paper, the distributed resource allocation optimization problem is investigated. The allocation decisions are made to minimize the sum of all the agents' local objective fu…

math.OC2015★ 5 cited

Distributed Continuous-Time Algorithm for Constrained Convex Optimizations via Nonsmooth Analysis Approach

Xianlin Zeng, Peng Yi, Yiguang Hong

This technical note studies the distributed optimization problem of a sum of nonsmooth convex cost functions with local constraints. At first, we propose a novel distributed contin…

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