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researcher

S. Jiang

24 papers hereh-index 191k citations46 works total

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

author position
  • first author5
  • middle author16
  • last author3

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

fields
  • cs.DS20
  • cs.DM2
  • cs.CG1
  • quant-ph1
same name
  • S. Jiang — 155 papers, h 14
  • S. Jiang — 153 papers, h 5
  • S. Jiang — 40 papers, h 5
  • S. Jiang — 15 papers, h 9
  • S. Jiang — 4 papers, h 7
  • S. Jiang — 4 papers, h 0

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
20162026
most citedCoresets for Clustering with Fairness Constraints

57 citations · 84 across the 20 of their papers we have counts for

collaborators
Showing 2023 · cs.DSShow all

4 papers · 2 filters

cs.DS2023★ 1 cited

Moderate Dimension Reduction for k-Center Clustering

Shaofeng H. -C. Jiang, Robert Krauthgamer, Shay Sapir

The Johnson-Lindenstrauss (JL) Lemma introduced the concept of dimension reduction via a random linear map, which has become a fundamental technique in many computational settings.…

cs.DS2023

Fully Scalable MPC Algorithms for Clustering in High Dimension

Artur Czumaj, Guichen Gao, Shaofeng H. -C. Jiang +2

We design new parallel algorithms for clustering in high-dimensional Euclidean spaces. These algorithms run in the Massively Parallel Computation (MPC) model, and are fully scalabl…

cs.DS2023

Algorithms for the Generalized Poset Sorting Problem

Shaofeng H. -C. Jiang, Wenqian Wang, Yubo Zhang +1

We consider a generalized poset sorting problem (GPS), in which we are given a query graph G=(V,E) and an unknown poset P(V,≺) that is defined on the same ver…

cs.DS2023

The Power of Uniform Sampling for k-Median

Lingxiao Huang, Shaofeng H. -C. Jiang, Jianing Lou

We study the power of uniform sampling for k-Median in various metric spaces. We relate the query complexity for approximating k-Median, to a key parameter of the dataset, call…

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