
FullResolution Correspondence Learning for Image Translation
We present the fullresolution correspondence learning for crossdomain ...
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Old Photo Restoration via Deep Latent Space Translation
We propose to restore old photos that suffer from severe degradation thr...
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Contact Area Detector using Cross View Projection Consistency for COVID19 Projects
The ability to determine what parts of objects and surfaces people touch...
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Bringing Old Photos Back to Life
We propose to restore old photos that suffer from severe degradation thr...
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Crossdomain Correspondence Learning for Exemplarbased Image Translation
We present a general framework for exemplarbased image translation, whi...
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Phase transitions and optimal algorithms in the semisupervised classfications in graphs: from belief propagation to convolution neural networks
By analyzing Bayesian inference of generative model for random networks ...
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Neuralnetwork based general method for statistical mechanics on sparse systems
We propose a general method for solving statistical mechanics problems d...
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A streaming featurebased compression method for data from instrumented infrastructure
An increasing amount of civil engineering applications are utilising dat...
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Tree Tensor Networks for Generative Modeling
Matrix product states (MPS), a tensor network designed for onedimension...
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Shortcut Matrix Product States and its applications
Matrix Product States (MPS), also known as Tensor Train (TT) decompositi...
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Solving Statistical Mechanics using Variational Autoregressive Networks
We propose a general framework for solving statistical mechanics of syst...
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Weighted Community Detection and Data Clustering Using Message Passing
Grouping objects into clusters based on similarities or weights between ...
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Spectral estimation of the percolation transition in clustered networks
There have been several spectral bounds for the percolation transition i...
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Unsupervised Generative Modeling Using Matrix Product States
Generative modeling, which learns joint probability distribution from tr...
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Robust Spectral Detection of Global Structures in the Data by Learning a Regularization
Spectral methods are popular in detecting global structures in the given...
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Detectability thresholds and optimal algorithms for community structure in dynamic networks
We study the fundamental limits on learning latent community structure i...
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Evaluating accuracy of community detection using the relative normalized mutual information
The Normalized Mutual Information (NMI) has been widely used to evaluate...
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Phase transitions in semisupervised clustering of sparse networks
Predicting labels of nodes in a network, such as community memberships o...
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Scalable detection of statistically significant communities and hierarchies, using messagepassing for modularity
Modularity is a popular measure of community structure. However, maximiz...
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Spectral redemption: clustering sparse networks
Spectral algorithms are classic approaches to clustering and community d...
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Model Selection for Degreecorrected Block Models
The proliferation of models for networks raises challenging problems of ...
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Comparative Study for Inference of Hidden Classes in Stochastic Block Models
Inference of hidden classes in stochastic block model is a classical pro...
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Message passing for quantified Boolean formulas
We introduce two types of message passing algorithms for quantified Bool...
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Pan Zhang
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Associate Professor at Institute of Theoretical Physics, Chinese Academy of Sciences since 2015, Postdoctoral research fellow at Santa Fe Institute from 20132015, Postdoctoral Research Fellow at école supérieure de physique et de chimie industrielles from 20122013, Postdoctoral Research Fellow at Politecnico di Torino from 20092012, Visiting student at Institute of Theoretical Physics, Chinese Academy of Sciences 20072009