activity
20092022
most citedSpectral redemption: clustering sparse networks

658 citations · 1.3k across the 18 of their papers we have counts for

collaborators

18 papers

q-bio.MN2022★ 1 cited

Neural-network solutions to stochastic reaction networks

Ying Tang, Jiayu Weng, Pan Zhang

The stochastic reaction network in which chemical species evolve through a set of reactions is widely used to model stochastic processes in physics, chemistry and biology. To chara…

cs.SI2021★ 10 cited

Minimum Long-Loop Feedback Vertex Set and Network Dismantling

Tianyi Li, Pan Zhang, Hai-Jun Zhou

Network dismantling aims at breaking a network into disconnected components, and attacking vertices that intersect with many loops has proven to be a most efficient strategy. But t…

cond-mat.stat-mech2019★ 14 cited

Solving Statistical Mechanics on Sparse Graphs with Feedback Set Variational Autoregressive Networks

Feng Pan, Pengfei Zhou, Hai-Jun Zhou +1

We propose a method for solving statistical mechanics problems defined on sparse graphs. It extracts a small Feedback Vertex Set (FVS) from the sparse graph, converting the sparse…

cond-mat.stat-mech2018★ 6 cited

Shortcut Matrix Product States and its applications

Zhuan Li, Pan Zhang

Matrix Product States (MPS), also known as Tensor Train (TT) decomposition in mathematics, has been proposed originally for describing an (especially one-dimensional) quantum syste…

physics.soc-ph2018★ 12 cited

Weighted Community Detection and Data Clustering Using Message Passing

Cheng Shi, Yanchen Liu, Pan Zhang

Grouping objects into clusters based on similarities or weights between them is one of the most important problems in science and engineering. In this work, by extending message pa…

eess.SP2017★ 1 cited

Compressed Sensing by Shortest-Solution Guided Decimation

Mutian Shen, Pan Zhang, Hai-Jun Zhou

Compressed sensing is an important problem in many fields of science and engineering. It reconstructs signals by finding sparse solutions to underdetermined linear equations. In th…