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= '''<span style="color:#800000"><span style="font-size:smaller">研究成果</span></span>''' =
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Cao M., Ma Q., Zhu K., Xu M., Wang C..Heterogeneous Information Network Embedding with Convolutional Graph Attention Networks. In '''''Proceedings of IJCNN''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y., Shen J., Zhang Z., Zhang L., Wang C.. Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In '''''Proceedings of IJCNN''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhan Q., Emeryx S., 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-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Wu J , Zhang L , Wang C and etc. A Multi-unit Profit Competitive Mechanism for Cellular Traffic Offloading. In '''''Proceedings of AAAI2020''''', 2020: 2294-2301</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Lu Q., Xu Y, Yang R., Li N., and Wang C.. Serial and Parallel Recurrent Convolutional Neural Networks for Biomedical Named Entity Recoginiton. In ''Proceedings of DASFAA 2019'', Chiang Mai, Thailand, Apr. 22-25, 2019: 439-443</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">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>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Peng Y, Huang E., Chen G., Wang C and Xie J. A General Framework for Multi-Label Learning Towards Class Correlations and Class Imbalance[J]. ''Intelligent Data Analysis'', 2019, 23(2): 371-383</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Lu H., Kang N., Li Y., Zhan Q., Xie J., and Wang C. Utilizing Recurrent Neural Network for Topic Discovery in Short Text Scenarios[J]. ''Intelligent Data Analysis'', 2019, 23(2): 259-277</span></span>