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Xiaojun Lin

23 papers hereh-index 427.7k citations178 works total

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

author position
  • middle author11
  • last author12

Across the 23 of 23 papers where every author was matched, so the position is known.

fields
  • eess.SY7
  • cs.LG5
  • cs.NI3
  • cs.DC2
  • cs.DS2
  • cs.GT1
same name
  • Xiaojun Lin — 4 papers, h 3
  • Xiaojun Lin — 3 papers, h 1
  • Xiaojun Lin — 2 papers, h 3
  • Xiaojun Lin — 1 paper, h 2
  • Xiaojun Lin — 1 paper, h 4
  • Xiaojun Lin — 1 paper, h 2

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
20122022
most citedVirtual Energy Storage Sharing and Capacity Allocation

197 citations · 367 across the 23 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.NI2022★ 3 cited

Characterizing and Modeling Control-Plane Traffic for Mobile Core Network

Jiayi Meng, Jingqi Huang, Y. Charlie Hu +4

In this paper, we first carry out to our knowledge the first in-depth characterization of control-plane traffic, using a real-world control-plane trace for 37,325 UEs sampled at a…

eess.SY2022

Insurance Contract for High Renewable Energy Integration

Dongwei Zhao, Hao Wang, Jianwei Huang +1

The increasing penetration of renewable energy poses significant challenges to power grid reliability. There have been increasing interests in utilizing financial tools, such as in…

cs.LG2022★ 1 cited

On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model

Peizhong Ju, Xiaojun Lin, Ness B. Shroff

In this paper, we study the generalization performance of overparameterized 3-layer NTK models. We show that, for a specific set of ground-truth functions (which we refer to as the…

cs.LG2022

SeedGNN: Graph Neural Networks for Supervised Seeded Graph Matching

Liren Yu, Jiaming Xu, Xiaojun Lin

There is a growing interest in designing Graph Neural Networks (GNNs) for seeded graph matching, which aims to match two unlabeled graphs using only topological information and a s…

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