“Sunwei”的版本间的差异

来自南京大学IIP
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M.Sc. Student @ IIP&nbsp;Group<br/> Department of Computer Science and Technology<br/> Nanjing University
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<span style="font-size:small;">M.Sc. Student @ IIP&nbsp;Group<br/> Department of Computer Science and Technology<br/> Nanjing University</span>
  
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Email: weisun_@outlook.com
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<span style="font-size:small;">Email: weisun_@outlook.com</span>
  
 
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<span style="color:#3498db"><span style="font-size:larger">'''Supervisor'''</span></span>
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<span style="font-size:larger;"><span style="color:#3498db">'''Supervisor'''</span></span>
  
 
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*Professor Jun-Yuan Xie  
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*<span style="font-size:small;">Professor Jun-Yuan Xie</span>
  
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<span style="font-size:larger"><span style="color:#3498db">'''Biography'''</span></span>
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<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.  
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*<span style="font-size:small;">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.</span>
  
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<span style="font-size:larger"><span style="color:#3498db">'''Research Interest'''</span></span>
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<span style="font-size:larger;"><span style="color:#3498db">'''Research Interest'''</span></span>
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<span style="font-size:small;">'''Multi-label Learning''' and&nbsp;'''Text Matching'''</span>
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<span style="font-size:larger;"><font color="#3498db">'''Publications'''</font></span>
  
 
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I am interested in '''Machine Learning and Multi-label Learning'''.&nbsp;
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*<span style="font-size:small;">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>
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*<span style="font-size:small;">'''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>
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*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 mine global label correlations and deeper&nbsp;features.&nbsp; The paper '''"An Efficient Framework for Multi-label Text Classification"'''&nbsp; has been&nbsp;accepted in '''IJCNN 2019'''.
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*<span style="font-size:small;">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>
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*Deep learning For multi-label text classification. We utilize '''dilated convolution''' to obtain the '''semantic understanding''' of the text and design a hybrid '''attention mechansim''' for '''different labels''' (Specifically, each label should attend to most relevant textual contents).&nbsp; Firstly,&nbsp;we initialize trainable label embeddings. Then After obationing word-level information based on Bi-LSTM, we&nbsp;get semantic understanding of texts&nbsp;based on word-level information by dilated convolution. Finally,&nbsp;we design a hybrid attention for different labels based on label embeddings.&nbsp; Besides, we add '''label cooccurrence matrix into loss function '''to guide the whole network to learn and achieve good results.&nbsp; The paper&nbsp;"'''Multi-label Classification: Select Distinct Semantic Understanding of Text for Different Labels'''" has been accepted in'''APWEB-WAIM 2019.'''
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*<span style="font-size:small;">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>
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*'''GCN (Graph Convolution Network) '''can be used to exploit more complex label correlations on Image Multi-label Learning.&nbsp;  
 
  
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<span style="font-size:larger"><span style="color:#3498db">'''Resources'''</span></span>
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<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.  
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*<span style="font-size:small;">[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>
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*[http://mulan.sourceforge.net/datasets-mlc.html Mulan Multi-Label Learning Datasets]: regular/traditional multi-label learning datasets.  
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*<span style="font-size:small;">[http://mulan.sourceforge.net/datasets-mlc.html Mulan Multi-Label Learning Datasets]: regular/traditional multi-label learning datasets.</span>
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*[https://github.com/XSilverBullet/Multi-label-Paper Related Works]: This page categorizes a list of works of my interest, mainly in Multi-Label Learning.  
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*<span style="font-size:small;">[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>
  
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<span style="font-size:larger"><span style="color:#3498db">'''Rewards or Honors'''</span></span>
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<span style="font-size:larger;"><span style="color:#3498db">'''Rewards or Honors'''</span></span>
  
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*Second-Class Academic Scholarship, 2018-2019  
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*<span style="font-size:small;">Second-Class Academic Scholarship, 2018-2019</span>
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*First-Class Academic Scholarship, 2017-2018  
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*<span style="font-size:small;">First-Class Academic Scholarship, 2017-2018</span>
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*Outstanding Graduate Student, 2017.06  
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*<span style="font-size:small;">Outstanding Graduate Student, 2017.06</span>
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*CCF Excellent University Student, 2016.10  
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*<span style="font-size:small;">CCF Excellent University Student, 2016.10</span>
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*National Scholarship, 2015.11
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*<span style="font-size:small;">National Scholarship, 2015.11</span>

2019年9月10日 (二) 11:15的最新版本

M.Sc. Student @ IIP Group
Department of Computer Science and Technology
Nanjing University

Email: weisun_@outlook.com

   

Supervisor

  • Professor Jun-Yuan Xie

Biography

  • 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.

Research Interest

Multi-label Learning and Text Matching

Publications

  • 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. PDF
  • 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.
  • 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. 
  • 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. PDF

Resources

Rewards or Honors

  • 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
取自“http://iip.nju.edu.cn/index.php?title=Sunwei&oldid=1138”