更改

科研进展

添加312字节, 2022年1月18日 (二) 11:15

无编辑摘要

2022

#Chen Y. etc. Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation. In '''''Proceedings of  PAKDD2022''''', Accepted

#Zhang Y. etc. Collaboration based Multi-modal Multi-label Learning. '''Applied Intelligence'''~~2021~~, Accepted</span~~></p~~>

#Zhang Y. etc. Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition. In '''''Proceedings of  AAAI2022''''', Accepted

#Chen M. etc. Semi-Supervised Learning with Multi-Head Co-Training. In '''''Proceedings of  AAAI2022''''', Accepted

#Jinliang Yuan, Yirong Yao,  Ming Xu, Hualei Yu, Junyuan Xie and Chongjun Wang.Graph Structure Learning based on Feature.'''''IDA Journal''''', Accepted

#Jinliang Yuan, Meng Cao, Hao Chen, Hualei Yu, Junyuan Xie and Chongjun Wang.A Unified Structure Learning Framework for Graph Attention Networks. '''''NearalComputing''''', Accepted

#Zhang Y. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. '''''IDA Journal''''', Accepted 2021 #Huang Z., Zhang L., Zhang Y. Qian S. and Wang C. ransformer based Multi-output Regression Learning for Wastewater Treatment. In '''''Proceedings of  ICTAI 2021''''', ~~Accepted~~608-703

#Xiaowen Zhang, Yuntao Du, Rongbiao Xie and Chongjun Wang.Adversarial Separation Network for Cross-Network Node Classification. In '''''Proceedings of  CIKM2021''''', 2618-2626

#Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Pan, Tao Qin, Renjun Xu, Chongjjun Wang. AdaRNN: Adaptive Learning and Forecasting of Time Series In '''''Proceedings of  CIKM2021''''', 402-411

#Jinliang Yuan, Hualei Yu, Meng Cao, Ming Xu, Junyuan Xie and Chongjun Wang.Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks. In '''''Proceedings of  CIKM2021''''', 2466-2476

#Zhang J., Zhang B., Li K., Xu M. and Wang C. Parallel Counterfactual Regret Minimization in Crowdsourcing Imperfect-information Expanded Game. In '''''Proceedings of  ISPA 2021''''', ~~Accepted~~1444-1451 #Zhang J., Li K., Zhang B., Xu M. and Wang C. QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting. In '''''Proceedings of  ISPA 2021''''', ~~Accepted~~1110-1117

#Xu M., Zhang L., Zhang B., Cao M., Yuan J. and Wang C. EPINE: Enhanced Proximity Information Network Embedding. In '''''Proceedings of  ISPA 2021''''', Accepted

#Zhang Y. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. '''''IDA Journal''''', Accepted

#Cao M., Yuan J., Xu M., Yu H. and Wang C. Local Structural Aware Heterogeneous Information Network Embedding Based on Relational Self-Attention Graph Neural Networ. '''''IEEE ACCESS''''', 2021, 9: 88301-88312

#He Q., Qiao Y., Yang S.  and etc.Equitable Valuation of Crowdsensing for Machine Learning via Game Theory. In '''''Proceedings of  WASA 2021''''', ~~Accepted~~133-141 #He Q., Qiao Y., Yang S.  and etc. Robust and Efficient Mechanism Design for Heterogeneous Task Crowdsensing. In '''''Proceedings of  WASA 2021''''', ~~Accepted~~99-107

#Qiu C., Yao Y., and Du Y. Nested Dense Attention Network For Single Image Super-Resolution. In '''''Proceedings of  ICMR2021''''', Accepted

#Chen H.  and etc. False-name-proof mechanism for  time window coverage tasks in mobile crowdsensing. In '''''Proceedings of  ICCCN 2021''''', 1-10

Iip1314

1,014

个编辑

更改

科研进展

南京大学IIP