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科研进展

添加188字节, 2020年7月5日 (日) 21:08
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#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size: medium; font-family:">Zhang Y. Shen J. Zhang Z. Wang C. &nbsp;Common and Discriminative Semantic Pursuit for Multi-modal Multi-label learning, </span><span style="font-size:medium;">In&nbsp;'''''Proceedings of&nbsp;'''''</span>'''''<span style="font-size: medium; font-family:">ECAI2020</span>'''''<span style="font-size:medium;">,&nbsp;</span><span style="font-size: medium; font-family:">accepted</span></span>
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2019</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">&nbsp;</span></span></p>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhang&nbsp;Y., Zhang&nbsp;Z.,&nbsp;Cheng&nbsp;H., Lu H., Zhang L., Wang C.,&nbsp;Xie&nbsp;J..&nbsp;Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function&nbsp;Pre-screen.In&nbsp;'''''Proceedings of&nbsp;BIBM&nbsp;2019''''',&nbsp;San Diego, California,&nbsp;USA,&nbsp;Nov18-21,&nbsp;2019:&nbsp;102-106</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhang L</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">, Ma X</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">, Shi P</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Bi S and Wang C</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">RegCNN: A Deep Multi-output Regression Method for Wastewater Treatment</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">. In '''''Proceedings of ICTAI 2019'''''. November 4-6 2019, Portland, Oregon</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Liu F</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">, Lei C</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">, Liu H</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">, Wang C</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">A Probabilistic Forward Search Value Iteration Algorithm for POMDP</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">. In '''''Proceedings of ICTAI 2019'''''. November 4-6 2019, Portland, Oregon</span></span> #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Pan Y., Gan J., Ran X., Wang C. Multi-Granularity Position-Aware Convolutional Memory Network for Aspect-Based Sentiment Analysis. In '''''Proceedings of ICTAI 2019'''''. November 4-6 2019, Portland, Oregon</span></span> #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhu K, Cao&nbsp;M, Lu H.&nbsp;MALP: A More Effective Meta-Paths Based Link Prediction Method in Partially Aligned Heterogeneous Social Networks. In '''P''roceedings of ICTAI 2019'''''. November 4-6 2019, Portland, Oregon</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cao M., Ma X., Wang C.. Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks. In '''''Proceedings of ICANN 2019''''': 622-634</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Luo X., Ran X., Sun W., Xu Y.,&nbsp;Wang C.. A Label-Specific Attention-Based Network with Regularized Loss for Multi-label Classification.&nbsp;In '''''Proceedings of ICANN 2019''''':&nbsp;731-742</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Gao Y., Wang C.. Symmetrical Adversarial Training Nets: A Novel Model for Text Generation.&nbsp;In '''''Proceedings of ICANN 2019''''':&nbsp;269-280</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Ran X., Pan Y., Sun W. and&nbsp;Wang C.. Learn to Select via Hierarchical Gate Mechanism for Aspect-Based Sentiment Analysis.&nbsp;In '''''Proceedings of IJCAL 2019''''':&nbsp;5160-5167</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Qiao Y., Wu J., Zhang L. and Wang C..Mechanism Design for Cross-Market Task Crowdsourcing[C]. In '''''2019 IEEE/ACM International Symposium On Quality of Service(IWQoS)''''', 9:1-9:9</span></span></span>#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhan Q., 9:1-9:9</span></span> #<span style="font-size:medium;"Emeryx S.,&nbsp;Wang C. and Liu Y..Opinion Mining in Online Media for Public Health Campaigns[J]. '''''Journal of Medical Imaging and Health Informatics''''', Accepted</span></span>#<span style="font-familysize:Times medium;"><span style="font-family:Times New Roman,Times,serif;">Zhan QZhang Y., Emeryx S.,&nbsp;Wang C. and Liu Yetc..Opinion Mining in Online Media Many Can Be Better Than All: A Novel Instance-oriented algorithm for Public Health Campaigns[J]Multi-modal Multi-lable Problem. In '''Journal of Medical Imaging and Health Informatics'', AcceptedProceedings of ICME&nbsp;2019''''', 838-843</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhang YSun W., Ran X.. Luo X., and Wang C. and etc..Many Can Be Better Than All: A Novel Instance-oriented algorithm An Efficient Framework by Topic Model for Multi-modal Multi-lable Problemlabel Text Classification. In '''''Proceedings of ICME&nbsp;IJCNN 2019''''', 8381-8437</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Sun WXu Y., Ran X.. Sun W., Luo X., &nbsp;and Wang C..An Efficient Framework by Topic Model Gated Neural Network with Regularized Loss for Multi-label Text Classification. In '''''Proceedings of IJCNN 2019''''', 1-78</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Xu YZeng C., Ran XZhang Y.. Sun WLu H., Luo X.&nbsp;and Wang C..GADGET: Using Gated Neural Network with Regularized Loss GRU for Multi-label Text ClassificationBiomedical Event Trigger Detection. In '''''Proceedings of IJCNN 2019''''', 1-8</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zeng CWu J., Zhang Y., Qiao Y. Lu H, Zhang L. and , Wang C., Xie J.GADGET: Using Gated GRU Multi-unit Budget Feasible Mechanisms for Biomedical Event Trigger DetectionCellular Traffic Offloading. In '''''Proceedings of IJCNN AAMAS 2019''''', 11693-81701</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Wu JLu Q., Zhang Xu Y., Qiao YYang R., Zhang LLi N., and&nbsp;Wang C., Xie J.Multi-unit Budget Feasible Mechanisms Serial and Parallel Recurrent Convolutional Neural Networks for Cellular Traffic OffloadingBiomedical Named Entity Recoginiton. &nbsp;In '''''Proceedings of AAMAS DASFAA 2019''''', Chiang Mai, Thailand, Apr. 22-25, 1693&nbsp;2019: 439-1701443</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Lu QRan X., Xu Pan Y, Yang R., Li NSun W., and&nbsp;Wang C.. Serial and Parallel Recurrent Convolutional Neural Networks Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Biomedical Named Entity RecoginitonAspect-Based Sentiment Analysis.&nbsp;In '''''Proceedings of DASFAA 2019''''', Chiang Mai, Thailand, Apr. 22-25,&nbsp;2019: 439505-443509&nbsp;</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Ran XPeng Y, Huang E., Pan Y&nbsp;Chen G., Sun W. and&nbsp;Wang Cand Xie J.. Modeling More Globally: A Hierarchical Attention Network via A General Framework for Multi-Task Label Learning for Aspect-Based Sentiment AnalysisTowards Class Correlations and Class Imbalance[J]. In &nbsp;'''''Intelligent Data Analysis'''Proceedings of DASFAA 2019'', Chiang Mai, Thailand, Apr. 22-25,&nbsp;2019, 23(2): 505371-509&nbsp;383</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Peng Lu H., Kang N., Li Y., Huang EZhan Q.,&nbsp;Chen GXie J.,and&nbsp;Wang C and Xie J. A General Framework Utilizing Recurrent Neural Network for Multi-Label Learning Towards Class Correlations and Class ImbalanceTopic Discovery in Short Text Scenarios[J].&nbsp;'''''Intelligent Data Analysis''''',&nbsp;2019, 23(2): 371259-383277</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">YangJ, Yang R., Lu H., Kang N&nbsp;Wang C., Li Y&nbsp;Xie J.Multi-Entity Aspect-Based Sentiment Analysis with Context, Zhan Q.Entity, Xie Aspect Memory and Dependency Information[J., and&nbsp;Wang C. Utilizing Recurrent Neural Network for Topic Discovery in Short Text Scenarios[J]].&nbsp;''Intelligent Data Analysis'', 2019, 23(2)'ACM Transactions on Asian and Low-resource Language Information Processing''''', 2019, 47: 2591-27722</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">YangJ, Yang RPang B., Lu H.,&nbsp;Wang C.,&nbsp;Xie J. MultiA Novel Top-Entity AspectN Recommendation Approach Based on Conditional Variational Auto-Based Sentiment Analysis with Context, Entity, Aspect Memory and Dependency Information[J]Encoder.&nbsp;In ''''ACM Transactions on Asian and Low-resource Language Information Processing'Proceedings of PAKDD2019', 2019, 47: 1-22</span></span> #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Pang B., Wang C.&nbsp;A Novel Top-N Recommendation Approach Based on Conditional Variational Auto-Encoder. In ''Proceedings of PAKDD2019''</span></span>, <span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Macau, China. Apr.14-17,&nbsp;2019: 357-368</span></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;">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 '''''Proceedings of'''''&nbsp;'''''ICONIP''&nbsp;2018''', ''&nbsp;''SiemReap, Cambodia. Dec.13-16,2018</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">437-449</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="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></span></span></span></span><span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif">In p'''''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="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><'''''P'''''</span></span>'''<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''roceedings ''r''oceedings 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'''''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'''''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;">Chen G, Peng Y, Wang C and etc. Multi- Label Classification via Label -Toci Pairs.&nbsp;In&nbsp;'''''Proceedings of APWEB\WAIM-18''', ''Macao.&nbsp;Jul.23-25, 2018</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">32-44</span></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">Zhan Q., Emery S., Yu, P., Wang C., Liu Y.&nbsp;</span></span><span style="font-family:Times New Roman,Times,serif;">Different Anti-Vaping Campaigns Attracting the Same Opponent Community.&nbsp;'''''IEEE TRANSACTIONS ON NANOBIOSCIENCE'''''. 2018, 17(4): 409-416</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 Xie J.&nbsp;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>
#<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>
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2017</span></span></p>
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