activity
20182026
most citedThe spectrality of self-affine measure under the similarity transformation of

2 citations · 3 across the 8 of their papers we have counts for

collaborators

15 papers

math.FA2026

Spectrality of product-form self-similar measures and tiles

Jing-Cheng Liu, Jia-Jie Wang, Jia Zheng

This paper studies the Fourier properties of self-similar measures and tiles generated by digit sets of product-form. Let be a real number and let be the direct sum of…

cs.DS2026

The Price of Privacy For Approximating Max-CSP

Prathamesh Dharangutte, Jingcheng Liu, Pasin Manurangsi +3

We study approximation algorithms for Maximum Constraint Satisfaction Problems (Max-CSPs) under differential privacy (DP) where the constraints are considered sensitive data. Infor…

cs.DS2026

Zero-free regions and concentration inequalities for hypergraph colorings in the local lemma regime

Jingcheng Liu, Yixiao Yu

We show that for -colorings in -uniform hypergraphs with maximum degree , if and , there is a "Lee-Yang" zero-free strip around the i…

math.FA2025

A class of spectral measures with -alternate contraction ratios in

Jing-cheng Liu, Jia-jie Wang

For a Borel probability measure on , it is called a spectral measure if the Hilbert space admits an orthogonal basis of exponential functions. In thi…

quant-ph2025

Optimal quantum sampling on distributed databases

Longyun Chen, Jingcheng Liu, Penghui Yao

Quantum sampling, a fundamental subroutine in numerous quantum algorithms, involves encoding a given probability distribution in the amplitudes of a pure state. Given the hefty cos…

cs.DS2025

A Generalized Binary Tree Mechanism for Differentially Private Approximation of All-Pair Distances

Michael Dinitz, Chenglin Fan, Jingcheng Liu +2

We study the problem of approximating all-pair distances in a weighted undirected graph with differential privacy, introduced by Sealfon [Sea16]. Given a publicly known undirected…