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researcher

He Sun

5 papers hereh-index 16 citations7 works total

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

author position
  • middle author1
  • last author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.DS3
  • cs.AI1
  • cs.LG1
same name
  • He Sun — 26 papers, h 16
  • He Sun — 24 papers, h 16
  • He Sun — 12 papers, h 4
  • He Sun — 11 papers, h 5
  • He Sun — 10 papers, h 7
  • He Sun — 10 papers, h 6

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
20232026
collaborators

5 papers

cs.AI2026

Vector Linking via Cross-Model Local Isometric Consistency

Ziying Chen, Yang Cao, He Sun +2

We study Vector Linking: given two embedding clouds produced by different black-box encoders over partially overlapping datasets, recover cross-model object correspondences using o…

cs.LG2025

Coreset Spectral Clustering

Ben Jourdan, Gregory Schwartzman, Peter Macgregor +1

Coresets have become an invaluable tool for solving k-means and kernel k-means clustering problems on large datasets with small numbers of clusters. On the other hand, spectral…

cs.DS2024

Spectral Toolkit of Algorithms for Graphs: Technical Report (2)

Peter Macgregor, He Sun

Spectral Toolkit of Algorithms for Graphs (STAG) is an open-source library for efficient graph algorithms. This technical report presents the newly implemented component on localit…

cs.DS2024

Polynomial-Time Algorithms for Weaver's Discrepancy Problem in a Dense Regime

Ben Jourdan, Peter Macgregor, He Sun

Given v1​,…,vm​∈Cd with ∥vi​∥2=α for all i∈[m] as input and suppose ∑i=1m​∣⟨u,vi​⟩∣2=1 for every unit vector $u\in\mathbb…

cs.DS2023

Fast Approximation of Similarity Graphs with Kernel Density Estimation

Peter Macgregor, He Sun

Constructing a similarity graph from a set X of data points in Rd is the first step of many modern clustering algorithms. However, typical constructions of a similari…

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