activity
20102023
most citedSolution space structure of random constraint satisfaction problems with growing domains

12 citations · 20 across the 9 of their papers we have counts for

collaborators

9 papers

math.PR2023

Asymptotic stability for non-equicontinuous Markov semigroups

Fuzhou Gong, Yong Liu, Yuan Liu +1

We formulate a new criterion of the asymptotic stability for some non-equicontinuous Markov semigroups, the so-called eventually continuous semigroups. In particular, we provide a…

cond-mat.dis-nn2022

Interpreting Deep Learning by Establishing a Rigorous Corresponding Relationship with Renormalization Group

Fuzhou Gong, Zigeng Xia

In this paper, we focus on the interpretability of deep neural network. Our work is motivated by the renormalization group (RG) in statistical mechanics. RG plays the role of a bri…

q-fin.MF2022

The Variable Volatility Elasticity Model from Commodity Markets

Fuzhou Gong, Ting Wang

In this paper, we propose and study a novel continuous-time model, based on the well-known constant elasticity of variance (CEV) model, to describe the asset price process. The bas…

cond-mat.dis-nn2018

Widely distributed clusters of the constraint satisfaction problem model d-k-CSP

Wei Xu, Fuzhou Gong, Guangyan Zhou

Relation between problem hardness and solution space structure is an important research aspect. Model d-k-CSP generates very hard instances when and is near 1, where …

cond-mat.dis-nn2015★ 12 cited

Solution space structure of random constraint satisfaction problems with growing domains

Wei Xu, Pan Zhang, Tian Liu +1

In this paper we study the solution space structure of model RB, a standard prototype of Constraint Satisfaction Problem (CSPs) with growing domains. Using rigorous the first and t…

math.PR2013

A probabilistic proof of the fundamental gap conjecture via the coupling by reflection

Fuzhou Gong, Huaiqian Li, Dejun Luo

Let be a strictly convex domain with smooth boundary and diameter . The fundamental gap conjecture claims that if is convex, then t…