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M.Sc. Student @ IIP&nbsp;Group<br/> Department of Computer Science and Technology<br/> Nanjing University

Email: weisun_@outlook.com

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<span style="color:#3498db;"><span style="font-size:larger;">'''Supervisor'''</span></span>

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*Professor Jun-Yuan Xie 

<span style="font-size:larger;"><span style="color:#3498db;">'''Biography'''</span></span>

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*I&nbsp;received my B.Sc. degree in&nbsp;of Soochow University in June 2017. In the same year, I was admitted to study for a Master degree in Nanjing University&nbsp;without entrance examination.&nbsp; Currently I am a second&nbsp;year M.Sc. student of Department of Computer Science and Technology&nbsp;in Nanjing University&nbsp;and a member of IIP&nbsp;Group, led by professor Jun-Yuan Xie and&nbsp; Chong-Jun Wang. 

<span style="font-size:larger;"><span style="color:#3498db;">'''Research Interest'''</span></span>

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*I am interested in Machine Learning and Multi-label Learning.&nbsp; 
*Specifically, now my first work is to exploit label correlations on multi-label learning, i.e. On Multi-label Text Classification (MLTC), text features can be regarded as detailed description of documents and label sets can be a summarization of documents. Hybrid Topics from text features and label sets by LDA (a method of topic model) can effectively&nbsp;represent the whole label correlations. 

<span style="font-size:larger;"><span style="color:#3498db;">'''Resources'''</span></span>

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*[http://manikvarma.org/downloads/XC/XMLRepository.html Extreme Classiﬁcation Repository]: for large-scale multi-label datasets and off-the-shelf eXtreme Multi-Label Learning (XML) solvers. 
*[http://mulan.sourceforge.net/datasets-mlc.html Mulan Multi-Label Learning Datasets]: regular/traditional multi-label learning datasets. 
*[https://github.com/XSilverBullet/Multi-label-Paper Related Works]: This page categorizes a list of works of my interest, mainly in Multi-Label Learning. 

<span style="font-size:larger;"><span style="color:#3498db;">'''Rewards or Honors'''</span></span>

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*Second-Class Academic Scholarship, 2018-2019 
*First-Class Academic Scholarship, 2017-2018 
*Outstanding Graduate Student, 2017.06 
*CCF Excellent University Student, 2016.10 
*National Scholarship, 2015.11