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Kai-Min Chung

36 papers hereh-index 313.1k citations110 works total

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

author position
  • first author17
  • middle author16
  • last author3

Across the 36 of 36 papers where every author was matched, so the position is known.

fields
  • quant-ph21
  • cs.CR6
  • cs.DS4
  • cs.CC1
  • cs.IT1
  • cs.LO1
same name
  • Kai-Min Chung — 5 papers, h 2
  • Kai-Min Chung — 3 papers, h 2
  • Kai-Min Chung — 2 papers, h 4

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
20082024
most citedPhysical Randomness Extractors: Generating Random Numbers with Minimal Assumptions

40 citations · 92 across the 28 of their papers we have counts for

collaborators
Showing cs.DSShow all

4 papers · 1 filter

cs.DS2020

On the Hardness of Massively Parallel Computation

Kai-Min Chung, Kuan-Yi Ho, Xiaorui Sun

We investigate whether there are inherent limits of parallelization in the (randomized) massively parallel computation (MPC) model by comparing it with the (sequential) RAM model.…

cs.DS2017

Space-efficient classical and quantum algorithms for the shortest vector problem

Yanlin Chen, Kai-Min Chung, Ching-Yi Lai

A lattice is the integer span of some linearly independent vectors. Lattice problems have many significant applications in coding theory and cryptographic systems for their conject…

cs.DS2008

Tight Bounds for Hashing Block Sources

Kai-Min Chung, Salil Vadhan

It is known that if a 2-universal hash function H is applied to elements of a {\em block source} (X1​,...,XT​), where each item Xi​ has enough min-entropy conditioned on the…

cs.DS2008★ 1 cited

AMS Without 4-Wise Independence on Product Domains

Vladimir Braverman, Kai-Min Chung, Zhenming Liu +2

In their seminal work, Alon, Matias, and Szegedy introduced several sketching techniques, including showing that 4-wise independence is sufficient to obtain good approximations of…

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