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Sunwei

删除95字节, 2019年9月10日 (二) 11:15
无编辑摘要
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*<span style="font-size:largersmall;">Professor Jun-Yuan Xie</span>
<span style="font-size:larger;"><span style="color:#3498db">'''Biography'''</span></span>
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*<span style="font-size:largersmall;">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>
<span style="font-size:larger;"><span style="color:#3498db">'''Research Interest'''</span></span>
<span style="font-size:larger;">&nbsp;</span><span style="font-size:largersmall;">'''Multi-label Learning'''and&nbsp;'''& Sentiment Analysis.Text Matching'''&nbsp;</span>
<span style="font-size:larger;"><font color="#3498db">'''Publications'''</font></span>
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*<span style="font-size:largersmall;">Ran X., Pan Y., '''Sun W'''. and&nbsp;Wang C.. Learn to Select via Hierarchical Gate Mechanism for Aspect-Based Sentiment Analysis.&nbsp;In&nbsp;''Proceedings of IJCAL 2019. [https://www.ijcai.org/proceedings/2019/0717.pdf PDF]''</span> *<span style="font-size:largersmall;">'''Sun W'''., Ran X.. Luo X., and Wang C..An Efficient Framework by Topic Model for Multi-label Text Classification. In&nbsp;''Proceedings of IJCNN 2019.''</span> *<span style="font-size:largersmall;">Xu Y., Ran X.. '''Sun W'''., Luo X.&nbsp;and Wang C..Gated Neural Network with Regularized Loss for Multi-label Text Classification. In&nbsp;''Proceedings of IJCNN 2019.&nbsp;''</span> *<span style="font-size:largersmall;">Ran X., Pan Y., '''Sun W'''. and&nbsp;Wang C.. Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis. In&nbsp;''Proceedings of DASFAA 2019'', Chiang Mai, Thailand, Apr. 22-25,&nbsp;2019: 505-509. [https://link.springer.com/chapter/10.1007/978-3-030-18590-9_76 PDF]</span>
<span style="font-size:larger;"><span style="color:#3498db">'''Resources'''</span></span>
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*<span style="font-size:largersmall;">[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.</span> *<span style="font-size:largersmall;">[http://mulan.sourceforge.net/datasets-mlc.html Mulan Multi-Label Learning Datasets]: regular/traditional multi-label learning datasets.</span> *<span style="font-size:largersmall;">[https://github.com/XSilverBullet/Multi-label-Paper Related Work]: This page categorizes a list of works of my interest, mainly in Multi-Label Learning.</span>
<span style="font-size:larger;"><span style="color:#3498db">'''Rewards or Honors'''</span></span>
*<span style="font-size:largersmall;">Second-Class Academic Scholarship, 2018-2019</span> *<span style="font-size:largersmall;">First-Class Academic Scholarship, 2017-2018</span> *<span style="font-size:largersmall;">Outstanding Graduate Student, 2017.06</span> *<span style="font-size:largersmall;">CCF Excellent University Student, 2016.10</span> *<span style="font-size:largersmall;">National Scholarship, 2015.11</span>
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