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科研进展

添加1,773字节, 2018年5月29日 (二) 21:31
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= '''<span style="color:#800000"><span style="font-size:smaller">研究成果</span></span>''' =
'''<span style="font-family:微软雅黑; font-size:medium">Selected Paper</span>'''
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2018</span></span></p>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Peng Y, Wang C and etc. A General Framework for Multi-Label Learning Towards Class Correlations and Class Imbalance[J].&nbsp;''Intelligent Data Analysis, Accepted''</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Chen G, Peng Y, Wang C and etc. Multi- Label Classification via Label -Toci Pairs.&nbsp;In&nbsp;''Proceedings of APWEB\WAIM-18, Accepted''</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Lu H, Tang C, Wang C and etc. Utilizing Recurrent Neural Network for Topic Discovery in Short Text Scenarios[J].&nbsp;''Intelligent Data Analysis, Accepted''</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng H, Zhang L, Wu J&nbsp;and Wang C, Optimal Constraint Coolection for Core-Selecting Path Mechanism. In&nbsp;''Proceedings of AAMAS 2018, Accepted''</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif"><span style="color:black">Yang J, Yang R and etc, Multi-Entity Aspect-Based Sentiment Analysis with Context, Entity and Aspect Memory. In ''Proceedings of AAAI 2018''. New Oleans, Louisiana. USA..</span></span></span>
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2017</span></span></p>
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">Zhan Q, Tan L, Sherry E, Philip Y, Wang C. Community Detection on Anti-vaping Campaign Audience. In ''Proceedings of BIBM-17''. Kansan City, MO. USA. [Acceptted].</span></span></span> #<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">Peng Y, Tang C, G Chen G, Xie J, Wang C. Multi-Label Learning by Exploiting label Correlations for TCM Diagnosing Parkinson's Disease. In ''Proceedings of BIBM-17''. Kansan City, MO. USA. [Acceptted].</span></span></span>
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">Peng Y, Chen G, Zhai C, Wang C, Xie J. Multi-Label Learning by Exploiting label Correlations with LDA. In ''Proceedings of ICTAI-17''. Boston, MA. USA. [Acceptted].</span></span></span>
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">Xie L, Wang L, Lu H, Li N, Wang C. Topics may Evolve: Using Complaint Date for Analysis. In ''Proceedings of ICTAI-17''. Boston, MA. USA. [Acceptted].</span></span></span>
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">Wu J, Zhang L, Wang C, Xie J. Synthesizing Optimal Social Laws for Strategical Agents via Bayesian Mechanism Design[C]. In ''Proceedings of AAMAS-17''. São Paulo, Brazil, 2017: 1214-1222.</span></span></span>
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">Lu H, Xie L, Kang N, Wang C and Xie J. Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery[C]. In ''Proceedings of AAAI-17''. San Francisco, USA, 2017: 1192-1198.</span></span></span>
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">Jiang J, Shi P, An B, Yu J, Wang C. Measuring the social influences of scientist groups based on multiple types of collaboration relations[J]. ''Information Processing and Management'', 20162017, 53(1): 1-20.</span></span></span>
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">2016</span></span></span></p>
#<span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger"><span style="color:black">王崇骏</span><span style="color:black">.大数据思维与应用攻略</span><span style="color:black">.北京:</span>''<span style="color:black">机械工业出版社</span>''<span style="color:black">, ISBN: 978-7- 111- 54261- 2.</span></span></span>
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