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科研进展

添加109字节, 2018年12月28日 (五) 09:19
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<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;">Lu H., Ge G., Li Y., Wang C., Xie J. Exploiting Global Semantic Similarity Biterms for Short-text Topic Discovery<span style="caret-color:#000000"><span style="color:#000000"><font style="font-size:14px; font-family:">.</font></span></span></span></span><span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif">In p</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''roceedings of ICTAI 2018''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">. Volos, Greece</span></span><span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif"><span style="color:black">: 975-982</span></span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">QiaoY, SONG Y, WANG N, and&nbsp;etc, A False-name-proof Protocol for Multicast Routing Auctions. In&nbsp;''Proceedings of ISPA2018'', Melbourne, Australia, Dec. 11-13, 2018: 72-79.</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">QiaoY, GU Y, Wu J and&nbsp;etc, A Truthful Profit-oriented Mechanism for Mobile Crowdsensing. In&nbsp;''Proceedings of ISPA2018'', Melbourne, Australia, Dec. 11-13, 2018:64-71.</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Feng Y., Tang J., Wang C.,&nbsp;XieJ.&nbsp;CuAPSS: A Hybrid CUDA Solution for&nbsp;AllPairsSimilarity Search. In&nbsp;''Proceedings of ICA3PP 2018''. Guangzhou, China Nov. 15-17, 2018: 421–436</span></span>
#<span style="caret-color:#000000"><span style="color:#000000"><span style="font-family:-webkit-standard"><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Chen Q., Du Y, Xu M., Wang C. HetEOTL: An Algorithm for Heterogeneous Online Transfer Learning</span></span><font style="font-size:14px; font-family:">.</font></span></span></span><span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif">In p</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''roceedings of ICTAI 2018''</span></span><span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif">.</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.Volos, Greece</span></span><span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif"><span style="color:black">: 350-357</span></span></span>
#<span style="caret-color:#000000"><span style="color:#000000"><span style="font-family:-webkit-standard"><font style="font-size:14px; font-family:"><span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif">Du Y.. Chen Q., Lu H., Wang C. Online Single Homogeneous Source Transfer Learning Based on AdaBoos</span></span>.</font></span></span></span><span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif">In p</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''roceedings of ICTAI 2018''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">. Volos, Greece</span></span><span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif"><span style="color:black">:</span></span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif"><span style="color:black">344-349</span></span></span>
#<span style="caret-color:#000000"><span style="color:#000000"><span style="font-family:-webkit-standard"><font face="Helvetica Neue"><font style="font-size:14px"><span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif">Feng Y., Tang J., Liu M., Wang C., Xie J. Fast Document Cosine Similarity Self-Join on GPUs</span></span></font></font></span></span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">.&nbsp;</span></span><span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif">In p</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''roceedings of ICTAI 2018''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">. Volos, Greece</span></span><span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif"><span style="color:black">:</span></span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif"><span style="color:black">205-212</span></span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Lu H, Li Y, Tang C,&nbsp;Wang C&nbsp;and Xie J. Constructing Pseudo Documents with Semantic Siliarity for Short Text Topic Descovery.&nbsp;In ''ICONIP''&nbsp;2018, ''&nbsp;Accepted''</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,TimesSiemReap,serif;">Zhan Q, Philip Y, Wang C&nbsp;and etcCambodia. Different Anti-Vaping Campaigns Attacting the Same Opponent Community[J]Dec.&nbsp;''IEEE Transactions on NanoBioscience, Accepted''</span></span> #<span style="font-size:medium;"><span style="font13-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 Analysis16, Accepted''2018</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]Macao.&nbsp;''Intelligent Data AnalysisJul.23-25, Accepted''2018:</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,''</span><span style="font-family:Times New Roman,Times,serif"><span style="color:black">2018:41-49.</span></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.2018:6029-6036.</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">王崇骏,史忠植,常量,王文剑. 多智能体系统及应用.北京:清华大学出版社</span><span style="color:black">, ISBN: 978-7- 302- 48777-7.</span></span></span>
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