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Yu Xing

15 papers hereh-index 8154 citations23 works total

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

author position
  • first author12
  • middle author3

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • eess.SY11
  • cs.LG1
  • cs.SI1
  • math.OC1
  • physics.soc-ph1
same name
  • Yu Xing — 4 papers, h 1
  • Yu Xing — 3 papers, h 1
  • Yu Xing — 3 papers, h 3
  • Yu Xing — 2 papers, h 3
  • Yu Xing — 2 papers, h 2
  • Yu Xing — 2 papers, h 3

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
20182026
most citedOn the Convergence of mSGD and AdaGrad for Stochastic Optimization

2 citations · 6 across the 15 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

eess.SY2023

Almost Exact Recovery in Gossip Opinion Dynamics over Stochastic Block Models

Yu Xing, Karl H. Johansson

We study community detection based on state observations from gossip opinion dynamics over stochastic block models (SBM). It is assumed that a network is generated from a two-commu…

cs.SI2023

Joint Learning of Network Topology and Opinion Dynamics Based on Bandit Algorithms

Yu Xing, Xudong Sun, Karl H. Johansson

We study joint learning of network topology and a mixed opinion dynamics, in which agents may have different update rules. Such a model captures the diversity of real individual in…

eess.SY2023★ 1 cited

What is the Expected Transient Behavior of Opinion Evolution for Two Communities?

Yu Xing, Karl H. Johansson

We study the transient behavior of a gossip model, in which agents randomly interact pairwise over a weighted graph with two communities. Edges within each community have identical…

eess.SY2023

Concentration in Gossip Opinion Dynamics over Random Graphs

Yu Xing, Karl Henrik Johansson

We study concentration inequalities in gossip opinion dynamics over random graphs. In the model, a network is generated from a random graph model with independent edges, and agents…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.