15 citations · 15 across the 2 of their papers we have counts for
3 papers
cs.IT2017
Lattice Gaussian Sampling by Markov Chain Monte Carlo: Bounded Distance Decoding and Trapdoor Sampling
Zheng Wang, Cong Ling
Sampling from the lattice Gaussian distribution plays an important role in various research fields. In this paper, the Markov chain Monte Carlo (MCMC)-based sampling technique is a…
cs.IT2014★ 15 cited
Markov Chain Monte Carlo Algorithms for Lattice Gaussian Sampling
Zheng Wang, Cong Ling, Guillaume Hanrot
Sampling from a lattice Gaussian distribution is emerging as an important problem in various areas such as coding and cryptography. The default sampling algorithm --- Klein's algor…
cs.IT2013
Decoding by Sampling - Part II: Derandomization and Soft-output Decoding
Zheng Wang, Shuiyin Liu, Cong Ling
In this paper, a derandomized algorithm for sampling decoding is proposed to achieve near-optimal performance in lattice decoding. By setting a probability threshold to sample cand…