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<!DOCTYPE html>
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<title>IIP · Mingrui Zhu</title>
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<h5 class="mb-0">Mingrui Zhu</h5>
<small>Associate Professor</small>
<p class="mb-2"><small> mrzhu <i class="fa fa-at"></i> xidian.edu.cn </small> </p>
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<h5 class="section-title ff-secondary text-start text-primary fw-normal">About Me</h5>
<h1 class="mb-4">Mingrui Zhu</h1>
<p class="mb-4">I’m currently an Associate Professor at Intelligent Information Processing (IIP) Lab, State Key Laboratory of Integrated
Service Network (ISN), Xidian University. I received my B.S. degree in Electronic Information Engineering from Guangxi University in
June 2014 and Ph.D. degree in Circuits and Systems from Xidian University in June 2020. My doctoral thesis was awarded the excellent Ph.D.
thesis of Shaanxi Province, of ACM China (Xi'an Chapter), and of Xidian University. I was selected for the Young Talent Fund of Association
for Science and Technology in Shaanxi China and won the ACM China Rising Star Award (Xi'an Chapter).</p>
<p class="mb-4">My current research interests include computer vision and machine learning. I have published nearly 20 papers in international
journals and conferences, including IJCV, IEEE TNNLS, ICCV, and IJCAI.</p>
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<p class="mb-0">Journal/Conference</p>
<h6 class="text-uppercase mb-0">Publications</h6>
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<h5 class="mb-0">Wenwang Han </h5>
<small>2023-</small>
</div>
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<h5 class="mb-0">Yifan Jiang</h5>
<small>2022-</small>
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<h5 class="mb-0">Si Shi</h5>
<small>2022-</small>
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<a href="https://dblp.org/pid/94/2339.html" target="_blank"> [DBLP] </a>
<a href="https://scholar.google.com/citations?user=a8FXS1UAAAAJ" target="_blank"> [Google Scholar] </a>
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<li>Mingrui Zhu; Jie Li; Nannan Wang*; Xinbo Gao*;
Learning Deep Patch representation for Probabilistic Graphical Model-Based Face Sketch Synthesis, International Journal of Computer Vision (IJCV), 2021,129:1820-1836.</li>
<li>Mingrui Zhu; Xiao He; Nannan Wang*; Xinbo Gao;
All-to-key Attention for Arbitrary Style Transfer, International Conference on Computer Vision (ICCV), 2023, Accepted.</li>
<li>Mingrui Zhu; Jie Li; Nannan Wang*; Xinbo Gao*;
Knowledge Distillation for Face Photo-Sketch Synthesis, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2022, 33(2): 893-906. </li>
<li>Mingrui Zhu; Jie Li; Nannan Wang*; Xinbo Gao*;
A Deep Collaborative Framework for Face Photo-Sketch Synthesis, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2019, 30(10): 3096-3108.</li>
<li>Mingrui Zhu; Zicheng Wu; Nannan Wang*; Heng Yang; Xinbo Gao;
Dual Conditional Normalization Pyramid Network for Face Photo-Sketch Synthesis, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2023.</li>
<li>Mingrui Zhu; Changcheng Liang; Nannan Wang*; Xiaoyu Wang; Zhifeng Li; Xinbo Gao;
A Sketch-Transformer Network for Face Photo-Sketch Synthesis, 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), Montreal, Canada, 2021.</li>
<li>Mingrui Zhu; Nannan Wang*; Xinbo Gao; Jie Li; Zhifeng Li;
Face Photo-Sketch Synthesis via Knowledge Transfer, Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, 2019.</li>
<li>Mingrui Zhu; Nannan Wang*; Xinbo Gao; Jie Li;
Deep Graphical Feature Learning for Face Sketch Synthesis, Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, 2017.</li>
<li>Mingrui zhu; Nannan Wang*;
Data-Driven vs. Model-Driven: Fast Face Sketch Synthesis. International Conference on Internet Multimedia Computing and Service (ICIMCS). 2016.</li>
<li>Changcheng Liang; Nannan Wang*; Mingrui Zhu*; Xi Yang; Jie Li; Xinbo Gao;
Face Photo-Sketch Synthesis Based on Multi-scale Feature Fusion (in Chinese), SCIENTIA SINICA Informationis, 2021.</li>
<li>Xiao He; Mingrui Zhu*; Nannan Wang*; Xiaoyu Wang; Xinbo Gao.
BiTGAN: Bilateral Generative Adversarial Networks for Chinese Ink Wash Painting Style Transfer, Science China Information Sciences, 2023, 66 (1): 1-2.</li>
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