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Jun-Ting Hsieh

16 papers hereh-index 781 citations19 works total

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

author position
  • sole author1
  • first author7
  • middle author7
  • last author1

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CC6
  • cs.DS6
  • math.CO2
  • cs.IT1
  • quant-ph1
same name
  • Jun-Ting Hsieh — 11 papers, h 9

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
Showing 2025Show all

5 papers · 1 filter

cs.DS2025

Sparsifying Cayley Graphs on Every Group

Jun-Ting Hsieh, Daniel Z. Lee, Sidhanth Mohanty +2

A classic result in graph theory, due to Batson, Spielman, and Srivastava (STOC 2009) shows that every graph admits a (1±ε) cut (or spectral) sparsifier which prese…

cs.DS2025

Coloring 3-Colorable Graphs with Low Threshold Rank

Jun-Ting Hsieh

We present a new algorithm for finding large independent sets in 3-colorable graphs with small 1-sided threshold rank. Specifically, given an n-vertex 3-colorable graph who…

cs.DS2025

Solving Random Planted CSPs below the nk/2 Threshold

Arpon Basu, Jun-Ting Hsieh, Andrew D. Lin +1

We present a family of algorithms to solve random planted instances of any k-ary Boolean constraint satisfaction problem (CSP). A randomly planted instance of a Boolean CSP is ge…

cs.CC2025

The Quasi-Polynomial Low-Degree Conjecture is False

Rares-Darius Buhai, Jun-Ting Hsieh, Aayush Jain +1

There is a growing body of work on proving hardness results for average-case estimation problems by bounding the low-degree advantage (LDA) - a quantitative estimate of the closene…

math.CO2025

Explicit Lossless Vertex Expanders

Jun-Ting Hsieh, Alexander Lubotzky, Sidhanth Mohanty +2

We give the first construction of explicit constant-degree lossless vertex expanders. Specifically, for any ε>0 and sufficiently large d, we give an explicit constr…

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