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-permalink: /
-title: ""
-excerpt: ""
-author_profile: true
-redirect_from: 
-  - /about/
-  - /about.html
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-
-{% if site.google_scholar_stats_use_cdn %}
-{% assign gsDataBaseUrl = "https://cdn.jsdelivr.net/gh/" | append: site.repository | append: "@" %}
-{% else %}
-{% assign gsDataBaseUrl = "https://raw.githubusercontent.com/" | append: site.repository | append: "/" %}
-{% endif %}
-{% assign url = gsDataBaseUrl | append: "google-scholar-stats/gs_data_shieldsio.json" %}
-
-<span class='anchor' id='about-me'></span>
-
-Recently, I am a postdoctoral researcher at the <a href="http://mhug.disi.unitn.it/#/">Multimedia and Human Understanding Group (MHUG)</a> of University of Trento and working with <a href="https://disi.unitn.it/~sebe/">Prof. Nicu Sebe</a>.
-Previously, I got Ph.D. degree from Leiden University in 2022 and supervised by <a href="https://disi.unitn.it/~sebe/">Prof. Michael Lew</a>. During my Ph.D. study, I worked with <a href="https://zhunzhong.site/">Dr. Zhun Zhong</a> and <a href="https://liuyudut.github.io/">Dr. Yu Liu</a>.
-
-My research interest includes lifelong learning, federated learning, and popular computer vision tasks like person re-identification, visual question answering and novel/new category discovery. 
-
-# 🔥 News
-- *2023.03*: &nbsp;🎉🎉 One paper is accepted by <strong>CVPR 2023</strong>.</p></li>
-
-
-
-# 📝 Publications 
-
----
-<div class='paper-box'><div class='paper-box-image'><div><div class="badge">CVPR 2016</div><img src='images/500x300.png' alt="sym" width="100%"></div></div>
-<div class='paper-box-text' markdown="1">
-
-<strong>Dynamic Conceptional Contrastive Learning for Generalized Category Discovery</strong><br>
-                    <strong>Nan Pu</strong>, Zhun Zhong*, Nicu Sebe<br>
-                    IEEE Conference on Computer Vision and Pattern Recognition (<strong>CVPR</strong>), 2023.<br>
-
-[**Project**](https://scholar.google.com/citations?view_op=view_citation&hl=zh-CN&user=DhtAFkwAAAAJ&citation_for_view=DhtAFkwAAAAJ:ALROH1vI_8AC) <strong><span class='show_paper_citations' data='DhtAFkwAAAAJ:ALROH1vI_8AC'></span></strong>
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-</div>
-</div>
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-
-
-- [Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet](https://github.com), A, B, C, **CVPR 2020**
-
-# 🎖 Honors and Awards
-- *2021.10* Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. 
-- *2021.09* Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. 
-
-# 📖 Educations
-- *2019.06 - 2022.04 (now)*, Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. 
-- *2015.09 - 2019.06*, Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. 
-
-# 💬 Invited Talks
-- *2021.06*, Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. 
-- *2021.03*, Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet.  \| [\[video\]](https://github.com/)
-
-# 💻 Internships
-- *2019.05 - 2020.02*, [Lorem](https://github.com/), China.
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