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Xin Li

24 papers hereh-index 231.4k citations54 works total

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

author position
  • sole author9
  • first author2
  • middle author6
  • last author6

Across the 23 of 24 papers where every author was matched, so the position is known.

fields
  • cs.CC9
  • cs.CR6
  • cs.IT5
  • math.RT2
  • cs.DS1
  • quant-ph1
same name
  • Xin Li — 66 papers, h 21
  • Xin Li — 42 papers, h 19
  • Xin Li — 36 papers, h 23
  • Xin Li — 32 papers, h 23
  • Xin Li — 26 papers, h 21
  • Xin Li — 26 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
20102023
most citedNon-Malleable Extractors and Non-Malleable Codes: Partially Optimal Constructions

9 citations · 53 across the 22 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.CC2016★ 1 cited

Improved Non-Malleable Extractors, Non-Malleable Codes and Independent Source Extractors

Xin Li

In this paper we give improved constructions of several central objects in the literature of randomness extraction and tamper-resilient cryptography. Our main results are: (1) An e…

cs.CR2016

Explicit Non-Malleable Extractors, Multi-Source Extractors and Almost Optimal Privacy Amplification Protocols

Eshan Chattopadhyay, Xin Li

We make progress in the following three problems: 1. Constructing optimal seeded non-malleable extractors; 2. Constructing optimal privacy amplification protocols with an active ad…

cs.DS2016★ 8 cited

Computing approximate PSD factorizations

Amitabh Basu, Michael Dinitz, Xin Li

We give an algorithm for computing approximate PSD factorizations of nonnegative matrices. The running time of the algorithm is polynomial in the dimensions of the input matrix, bu…

cs.CC2016

Randomness Extraction in AC0 and with Small Locality

Kuan Cheng, Xin Li

Randomness extractors, which extract high quality (almost-uniform) random bits from biased random sources, are important objects both in theory and in practice. While there have be…

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