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Zhe Su

7 papers hereh-index 465 citations11 works total

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

author position
  • sole author1
  • first author4
  • middle author2

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • math.DG4
  • eess.IV1
  • math.HO1
  • q-bio.BM1
same name
  • Zhe Su — 8 papers, h 5
  • Zhe Su — 6 papers, h 6
  • Zhe Su — 5 papers, h 5
  • Zhe Su — 4 papers, h 4
  • Zhe Su — 4 papers, h 2
  • Zhe Su — 3 papers, 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
20242026
most citedTopological Data Analysis and Topological Deep Learning Beyond Persistent Homology -- A Review

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

collaborators
Showing math.DGShow all

4 papers · 1 filter

math.DG2026

Weighted Hodge Laplacians on Manifolds with Boundary

Zhe Su, Yiying Tong, Guo-Wei Wei

The spectrum of the Hodge Laplacian on differential manifolds encodes rich topological and geometric information and thus provides a powerful tool for analyzing data on manifolds.…

math.DG2026

A vector field induced de Rham-Hodge theory on manifolds

Zhe Su

We introduce a de Rham-Hodge framework induced by a vector field on a compact, oriented smooth manifold. Using a vector field induced bundle isomorphism on differential forms, we d…

math.DG2024

Topology-preserving Hodge Decomposition in the Eulerian Representation

Zhe Su, Yiying Tong, Guo-Wei Wei

The Hodge decomposition is a fundamental result in differential geometry and algebraic topology, particularly in the study of differential forms on a Riemannian manifold. Despite e…

math.DG2024

Persistent de Rham-Hodge Laplacians in Eulerian representation for manifold topological learning

Zhe Su, Yiying Tong, Guo-Wei Wei

Recently, topological data analysis has become a trending topic in data science and engineering. However, the key technique of topological data analysis, i.e., persistent homology,…

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