Search Results for author: Hai-Jun Zhou

Found 12 papers, 1 papers with code

Backdoor to the Hidden Ground State: Planted Vertex Cover Example

no code implementations11 May 2023 Xin-Yi Fan, Hai-Jun Zhou

We discover that the disordered symmetric phase of this system may be locally stable with respect to the ordered phase at all inverse temperatures except for a unique eureka point $\beta_b$ at which it is only marginally stable.

Energy--Information Trade-off Induces Continuous and Discontinuous Phase Transitions in Lateral Predictive Coding

no code implementations22 Feb 2023 Zhen-Ye Huang, Ruyi Zhou, Miao Huang, Hai-Jun Zhou

Lateral predictive coding is a recurrent neural network which creates energy-efficient internal representations by exploiting statistical regularity in sensory inputs.

Lateral predictive coding revisited: Internal model, symmetry breaking, and response time

no code implementations19 Jul 2022 Zhen-Ye Huang, Xin-Yi Fan, Jianwen Zhou, Hai-Jun Zhou

Predictive coding is a promising theoretical framework in neuroscience for understanding information transmission and perception.

Circumventing spin glass traps by microcanonical spontaneous symmetry breaking

no code implementations1 Jul 2020 Hai-Jun Zhou, Qinyi Liao

The planted p-spin interaction model is a paradigm of random-graph systems possessing both a ferromagnetic phase and a disordered phase with the latter splitting into many spin glass states at low temperatures.

Active online learning in the binary perceptron problem

no code implementations21 Feb 2019 Hai-Jun Zhou

We demonstrate that it is mathematically possible to achieve perfect (error-free) inference using only $N$ designed training patterns, but this is computationally unfeasible for large systems.

Unsupervised prototype learning in an associative-memory network

no code implementations10 Apr 2017 Hui-Ling Zhen, Shang-Nan Wang, Hai-Jun Zhou

Unsupervised learning in a generalized Hopfield associative-memory network is investigated in this work.

A spin glass approach to the directed feedback vertex set problem

no code implementations4 Apr 2016 Hai-Jun Zhou

A feedback vertex set (FVS) is a set of vertices that contains at least one vertex of every directed cycle in this digraph.

Physics and Society Disordered Systems and Neural Networks Social and Information Networks

Generalized minimum dominating set and application in automatic text summarization

no code implementations16 Feb 2016 Yi-Zhi Xu, Hai-Jun Zhou

For a graph formed by vertices and weighted edges, a generalized minimum dominating set (MDS) is a vertex set of smallest cardinality such that the summed weight of edges from each outside vertex to vertices in this set is equal to or larger than certain threshold value.

Text Summarization

Loop-corrected belief propagation for lattice spin models

no code implementations13 May 2015 Hai-Jun Zhou, Wei-Mou Zheng

Belief propagation (BP) is a message-passing method for solving probabilistic graphical models.

Solving the undirected feedback vertex set problem by local search

no code implementations1 May 2014 Shao-Meng Qin, Hai-Jun Zhou

An undirected graph consists of a set of vertices and a set of undirected edges between vertices.

Feedback Vertex Set (FVS)

Social cycling and conditional responses in the Rock-Paper-Scissors game

1 code implementation21 Apr 2014 Zhijian Wang, Bin Xu, Hai-Jun Zhou

How humans make decisions in non-cooperative strategic interactions is a challenging question.

Physics and Society Computer Science and Game Theory

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