b'Pan Zhang'

DeepAI AI Chat

Featured Co-authors

Jun Wang
331 publications
Bo Zhang
196 publications
Tao Xiang
137 publications
Yong Wang
108 publications
Dongdong Chen
103 publications
Jing Liu
100 publications
Lu Yuan
93 publications
Florent Krzakala
84 publications
Lei Wang
83 publications
Dong Chen
82 publications
Lenka Zdeborová
77 publications

research

∙ 03/29/2022

Semi-Supervised Image-to-Image Translation using Latent Space Mapping

Recent image-to-image translation works have been transferred from super...

7 Pan Zhang, et al. ∙

research

∙ 06/24/2021

Tensor networks for unsupervised machine learning

Modeling the joint distribution of high-dimensional data is a central ta...

31 Jing Liu, et al. ∙

research

∙ 06/01/2021

Robust Mutual Learning for Semi-supervised Semantic Segmentation

Recent semi-supervised learning (SSL) methods are commonly based on pseu...

14 Pan Zhang, et al. ∙

research

∙ 05/10/2021

Boltzmann machines as two-dimensional tensor networks

Restricted Boltzmann machines (RBM) and deep Boltzmann machines (DBM) ar...

0 Sujie Li, et al. ∙

research

∙ 01/26/2021

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation

Self-training is a competitive approach in domain adaptive segmentation,...

8 Pan Zhang, et al. ∙

research

∙ 12/03/2020

Full-Resolution Correspondence Learning for Image Translation

We present the full-resolution correspondence learning for cross-domain ...

7 Xingran Zhou, et al. ∙

research

∙ 09/14/2020

Old Photo Restoration via Deep Latent Space Translation

We propose to restore old photos that suffer from severe degradation thr...

55 Ziyu Wan, et al. ∙

research

∙ 08/18/2020

Contact Area Detector using Cross View Projection Consistency for COVID-19 Projects

The ability to determine what parts of objects and surfaces people touch...

0 Pan Zhang, et al. ∙

research

∙ 04/20/2020

Bringing Old Photos Back to Life

We propose to restore old photos that suffer from severe degradation thr...

23 Ziyu Wan, et al. ∙

research

∙ 04/12/2020

Cross-domain Correspondence Learning for Exemplar-based Image Translation

We present a general framework for exemplar-based image translation, whi...

1 Pan Zhang, et al. ∙

research

∙ 11/01/2019

Phase transitions and optimal algorithms in the semi-supervised classfications in graphs: from belief propagation to convolution neural networks

By analyzing Bayesian inference of generative model for random networks ...

31 Pengfei Zhou, et al. ∙

research

∙ 06/26/2019

Neural-network based general method for statistical mechanics on sparse systems

We propose a general method for solving statistical mechanics problems d...

0 Feng Pan, et al. ∙

research

∙ 04/12/2019

A streaming feature-based compression method for data from instrumented infrastructure

An increasing amount of civil engineering applications are utilising dat...

0 Alastair Gregory, et al. ∙

research

∙ 01/08/2019

Tree Tensor Networks for Generative Modeling

Matrix product states (MPS), a tensor network designed for one-dimension...

0 Song Cheng, et al. ∙

research

∙ 12/13/2018

Shortcut Matrix Product States and its applications

Matrix Product States (MPS), also known as Tensor Train (TT) decompositi...

16 Zhuan Li, et al. ∙

research

∙ 09/27/2018

Solving Statistical Mechanics using Variational Autoregressive Networks

We propose a general framework for solving statistical mechanics of syst...

0 Dian Wu, et al. ∙

research

∙ 01/30/2018

Weighted Community Detection and Data Clustering Using Message Passing

Grouping objects into clusters based on similarities or weights between ...

0 Cheng Shi, et al. ∙

research

∙ 10/04/2017

Spectral estimation of the percolation transition in clustered networks

There have been several spectral bounds for the percolation transition i...

0 Pan Zhang, et al. ∙

research

∙ 09/06/2017

Unsupervised Generative Modeling Using Matrix Product States

Generative modeling, which learns joint probability distribution from tr...

0 Zhao-Yu Han, et al. ∙

research

∙ 09/09/2016

Robust Spectral Detection of Global Structures in the Data by Learning a Regularization

Spectral methods are popular in detecting global structures in the given...

0 Pan Zhang, et al. ∙

research

∙ 06/19/2015

Detectability thresholds and optimal algorithms for community structure in dynamic networks

We study the fundamental limits on learning latent community structure i...

0 Amir Ghasemian, et al. ∙

research

∙ 01/15/2015

Evaluating accuracy of community detection using the relative normalized mutual information

The Normalized Mutual Information (NMI) has been widely used to evaluate...

0 Pan Zhang, et al. ∙

research

∙ 04/30/2014

Phase transitions in semisupervised clustering of sparse networks

Predicting labels of nodes in a network, such as community memberships o...

0 Pan Zhang, et al. ∙

research

∙ 03/23/2014

Scalable detection of statistically significant communities and hierarchies, using message-passing for modularity

Modularity is a popular measure of community structure. However, maximiz...

0 Pan Zhang, et al. ∙

research

∙ 06/24/2013

Spectral redemption: clustering sparse networks

Spectral algorithms are classic approaches to clustering and community d...

0 Florent Krzakala, et al. ∙

research

∙ 07/17/2012

Model Selection for Degree-corrected Block Models

The proliferation of models for networks raises challenging problems of ...

0 Xiaoran Yan, et al. ∙

research

∙ 07/10/2012

Comparative Study for Inference of Hidden Classes in Stochastic Block Models

Inference of hidden classes in stochastic block model is a classical pro...

0 Pan Zhang, et al. ∙

research

∙ 02/12/2012

Message passing for quantified Boolean formulas

We introduce two types of message passing algorithms for quantified Bool...

0 Pan Zhang, et al. ∙