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Robust Mutual Learning for Semi-supervised Semantic Segmentation


Jun 01, 2021
Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Fang Wen


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Boltzmann machines as two-dimensional tensor networks


May 10, 2021
Sujie Li, Feng Pan, Pengfei Zhou, Pan Zhang

* 12 pages, 11 figures 

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


Jan 28, 2021
Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Yong Wang, Fang Wen


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Full-Resolution Correspondence Learning for Image Translation


Dec 03, 2020
Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen

* 24 pages, 21 figures 

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Old Photo Restoration via Deep Latent Space Translation


Sep 14, 2020
Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen

* 15 pages. arXiv admin note: substantial text overlap with arXiv:2004.09484 

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Supervised Learning with Projected Entangled Pair States


Sep 12, 2020
Song Cheng, Lei Wang, Pan Zhang

* 7 pages, 4 figures, 1 table 

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


Aug 18, 2020
Pan Zhang, Wilfredo Torres Calderon, Bokyung Lee, Alex Tessier, Jacky Bibliowicz, Liviu Calin, Michael Lee


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Bringing Old Photos Back to Life


Apr 20, 2020
Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen

* CVPR 2020 Oral, project website: http://raywzy.com/Old_Photo/ 

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Cross-domain Correspondence Learning for Exemplar-based Image Translation


Apr 12, 2020
Pan Zhang, Bo Zhang, Dong Chen, Lu Yuan, Fang Wen

* CVPR 2020 
* Accepted as a CVPR 2020 oral paper 

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Phase transitions and optimal algorithms for semi-supervised classifications on graphs: from belief propagation to graph convolution network


Dec 10, 2019
Pengfei Zhou, Tianyi Li, Pan Zhang

* 18 pages, 21 figures 

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


Nov 01, 2019
Pengfei Zhou, Pan Zhang

* 16 pages, 21 figures 

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


Jun 26, 2019
Feng Pan, Hai-Jun Zhou, Pan Zhang

* 7 pages, 4 figures 

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


Apr 12, 2019
Alastair Gregory, Din-Houn Lau, Alex Tessier, Pan Zhang

* 22 pages 

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Tree Tensor Networks for Generative Modeling


Jan 08, 2019
Song Cheng, Lei Wang, Tao Xiang, Pan Zhang


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Shortcut Matrix Product States and its applications


Dec 13, 2018
Zhuan Li, Pan Zhang

* 15pages, 11 figures 

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Solving Statistical Mechanics using Variational Autoregressive Networks


Sep 27, 2018
Dian Wu, Lei Wang, Pan Zhang


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Unsupervised Generative Modeling Using Matrix Product States


Jul 19, 2018
Zhao-Yu Han, Jun Wang, Heng Fan, Lei Wang, Pan Zhang

* Phys. Rev. X 8, 031012 (2018) 
* 11 pages, 12 figures (not including the TNs) GitHub Page: https://congzlwag.github.io/UnsupGenModbyMPS/ 

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Weighted Community Detection and Data Clustering Using Message Passing


Jan 30, 2018
Cheng Shi, Yanchen Liu, Pan Zhang

* 21 pages, 13 figures, to appear in Journal of Statistical Mechanics: Theory and Experiment 

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Spectral estimation of the percolation transition in clustered networks


Oct 04, 2017
Pan Zhang

* 13 pages, 3 figures 

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


Sep 09, 2016
Pan Zhang

* 13 pages, 9 figures, Neural Information Processing Systems 2016 

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Evaluating accuracy of community detection using the relative normalized mutual information


Oct 28, 2015
Pan Zhang

* comments are welcome 

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Detectability thresholds and optimal algorithms for community structure in dynamic networks


Jun 19, 2015
Amir Ghasemian, Pan Zhang, Aaron Clauset, Cristopher Moore, Leto Peel

* Phys. Rev. X 6, 031005 (2016) 
* 9 pages, 3 figures 

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


Dec 27, 2014
Pan Zhang, Cristopher Moore

* Proceedings of National Academy of Sciences, 111, 18144 (2014) 

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Phase transitions in semisupervised clustering of sparse networks


Apr 30, 2014
Pan Zhang, Cristopher Moore, Lenka Zdeborová

* Phys. Rev. E 90, 052802 (2014) 

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Spectral redemption: clustering sparse networks


Aug 23, 2013
Florent Krzakala, Cristopher Moore, Elchanan Mossel, Joe Neeman, Allan Sly, Lenka Zdeborová, Pan Zhang

* Proceedings of the National Academy of Sciences 110, no. 52 (2013): 20935-20940 
* 11 pages, 6 figures. Clarified to what extent our claims are rigorous, and to what extent they are conjectures; also added an interpretation of the eigenvectors of the 2n-dimensional version of the non-backtracking matrix 

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Model Selection for Degree-corrected Block Models


May 30, 2013
Xiaoran Yan, Cosma Rohilla Shalizi, Jacob E. Jensen, Florent Krzakala, Cristopher Moore, Lenka Zdeborova, Pan Zhang, Yaojia Zhu

* J. Stat. Mech. (2014) P05007 

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Comparative Study for Inference of Hidden Classes in Stochastic Block Models


Jul 13, 2012
Pan Zhang, Florent Krzakala, Jörg Reichardt, Lenka Zdeborová

* J. Stat. Mech. (2012) P12021 
* 8 pages, 5 figures AIGM12 

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Message passing for quantified Boolean formulas


Feb 12, 2012
Pan Zhang, Abolfazl Ramezanpour, Lenka Zdeborová, Riccardo Zecchina

* J. Stat. Mech. (2012) P05025 
* 14 pages, 7 figures 

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