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{| border="0" cellpadding="1" cellspacing="1" |- | <span style="font-size:larger;">M.Sc. Student @ IIP Group<br/> Department of Computer Science and Technology<br/> Nanjing University</span> <span style="font-size:larger;">Email: weisun_@outlook.com</span> |- | | |} <span style="font-size:larger;"><span style="color:#3498db">'''Supervisor'''</span></span> ---- *<span style="font-size:larger;">Professor Jun-Yuan Xie</span> <span style="font-size:larger;"><span style="color:#3498db">'''Biography'''</span></span> ---- *<span style="font-size:larger;">I received my B.Sc. degree in of Soochow University in June 2017. In the same year, I was admitted to study for a Master degree in Nanjing University without entrance examination. Currently I am a second year M.Sc. student of Department of Computer Science and Technology in Nanjing University and a member of IIP Group, led by professor Jun-Yuan Xie and Chong-Jun Wang.</span> <span style="font-size:larger;"><span style="color:#3498db">'''Research Interest'''</span></span> <span style="font-size:larger;"> </span><span style="font-size:larger;">'''Multi-label Learning''' '''& Sentiment Analysis.''' </span> *Specifically, now I am focusing on multi-label text classification. *Different Labels may attend to different textual contexts. *How to capture deep label dependencies? Topic model or Graph Convolutional Network ? <span style="font-size:larger;"><font color="#3498db">'''Publications'''</font></span> ---- *<span style="font-size:larger;">Ran X., Pan Y., '''Sun W'''. and Wang C.. Learn to Select via Hierarchical Gate Mechanism for Aspect-Based Sentiment Analysis. In ''Proceedings of IJCAL 2019.''</span> *<span style="font-size:larger;">'''Sun W'''., Wang C..Multi-label Classification: Select Distinct Semantic Understanding for Different Labels[C]. In ''Proceedings of ApWeb-WAIM 2019.''</span> *<span style="font-size:larger;">'''Sun W'''., Ran X.. Luo X., and Wang C..An Efficient Framework by Topic Model for Multi-label Text Classification. In ''Proceedings of IJCNN 2019.''</span> *<span style="font-size:larger;">Xu Y., Ran X.. '''Sun W'''., Luo X. and Wang C..Gated Neural Network with Regularized Loss for Multi-label Text Classification. In ''Proceedings of IJCNN 2019.''</span> *<span style="font-size:larger;">Ran X., Pan Y., '''Sun W'''. and Wang C.. Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis. In ''Proceedings of DASFAA 2019'', Chiang Mai, Thailand, Apr. 22-25, 2019: 505-509.</span> <span style="font-size:larger;"><span style="color:#3498db">'''Resources'''</span></span> ---- *<span style="font-size:larger;">[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:larger;">[http://mulan.sourceforge.net/datasets-mlc.html Mulan Multi-Label Learning Datasets]: regular/traditional multi-label learning datasets.</span> *<span style="font-size:larger;">[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:larger;">Second-Class Academic Scholarship, 2018-2019</span> *<span style="font-size:larger;">First-Class Academic Scholarship, 2017-2018</span> *<span style="font-size:larger;">Outstanding Graduate Student, 2017.06</span> *<span style="font-size:larger;">CCF Excellent University Student, 2016.10</span> *<span style="font-size:larger;">National Scholarship, 2015.11</span>
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