专利

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近2年发表的研究论文

2020年已录用和发表的研究论文

 

 

Lianwei Wu, Yuan Rao, Yongqiang Zhao, Hao Liang and Ambreen Nazir. DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification. ACL 2020. [Accept] (CCF A,顶会)

 

 

Lianwei Wu, Yuan Rao, Yongqiang Zhao, etc.,  Evidence-Aware Hierarchical Interactive Attention Networks for Explainable Claim Verification[C]EJCAI 2020, [Accepted] (CCF A,顶会)

 

 

Bian QY, Rao Y, Wang LP, et al. Chinese Short Text Classification Based on Interactive Attention Mechanism[C]// International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI). 2020. Berlin, Germany.

 

 

Wang LP, Rao Y, Bian QY, et al. A Content-based Hybrid Deep Neural Network Citation Recommendation Method[C]//International Conference of Ploneering Computer Scientists,Engineers and Educators(ICPCSEE), TaiYuan, China, 2020

  

 中文论文:

  

杨帆,饶元,丁毅,贺王卜,丁紫凡,面向任务型的对话系统研究进展[J],中文信息学报,2020,已录用;

 

王婉臻,饶元,吴连伟,李薛,基于人工智能的司法判决预测研究与进展[J],中文信息学报,2020,已录用;

 

2019年研究论文:

 

 

  Ambreen Nazir, Yuan Rao, Lianwei Wu, Ling SunIssues and Challenges of Aspect Based Sentiment Analysis: A Comprehensive Survey[J], IEEE Transactions on Affective Computing, [Accepted] (CCF B, SCI, IF: 6.288)

 

 Lianwei Wu and Yuan RaoAdaptive Interaction Fusion Networks for Fake News Detection[C]ECAI 2020, [Accepted] (CCF B, SCI)

 

Lianwei Wu, Yuan Rao, Ambreen Nazir, Haolin Jin. Discovering Differential Features: Adversarial Learning for Information Credibility Evaluation. Information Sciences. [Accepted] (CCF B, SCI, IF: 5.524) https://arxiv.org/abs/1909.07523

 

Junyi Znang, Yuan Rao, Juli Zhang, Yongqiang Zhao, Tri-graph Regularized Collective Matrix Tri-factorization Framework on Multiview Features for Multilabel Image Annotation[J], IEEE ACCESS, 2020, DOI:10.1109/ACCESS.2019.2950701 [Accepted]. (CCF B, SCI, IF: 4.096)

 

Lianwei Wu, Yuan Rao, Haolin Jin, Ambreen Nazir, Ling Sun. Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection. The Conference on Empirical Methods in Natural Language Processing (EMNLP 2019). Long paper. [Accepted] (CCF B, SCI), https://arxiv.org/abs/1909.01720

 

Yongqiang Zhao, Yuan Rao, Shipeng Dong, Jiangnan Qi. Feature Combination Based on Receptive Fields and CrossFusion Feature Pyramid for Object Detection. International Conference on Neural Information Processing, ICONIP 2019: Neural Information Processing pp 37-49; (CCF C, SCI); https://link.springer.com/chapter/10.1007%2F978-3-030-36711-4_4

 

Lianwei Wu, Yuan Rao, Hualei Yu, Yiming Wang, Ambreen Nazir. A Multi-Semantics Classification Method based on Deep Learning for Incredible Messages on Social Media [J]. Chinese Journal of Electronics, 2019. 28(4):754-763; (SCI IF: 0.58);

 

Tang Caifang, Rao Yuan, Cheng Jiamin, Improving Knowledge Graph Completion Using Soft Rules And Adversarial Learning[J], Chinese Journal of Electronics, (submit)

 

  Jiangnan Qi, Yuan Rao, Ling Sun, Xiong Yang. Semantic Enhancement and Multi-level Label Embedding for Chinese News Headline Classification. The 14th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP 2019).

 

Hongwei Liang, Yuan Rao. Feature Separation and Selective Fusion for Aspect Term Extraction Based on Multi-Task Neural Networks. IEEE ICMLA 2019.

 

Leipeng Wang, Yuan Rao. DeepCite: A content-based hybrid deep neural network citation recommendation method. BigData 2019.

 

  Shuo Wang, Yuan Rao, Xiaobing Fan and Jiangnan Qi. Joint Event extraction model based on multi-feature fusion. INTERNATIONAL CONFERENCE ON IDENTIFICATION, INFORMATION AND KNOWLEDGE IN THE INTERNET OF THINGS 2019.

 

  Cong Feng, Yuan Rao, Ambreen Nazir, Lianwei Wu and Long He. Pre-trained Language Embedding-based Contextual Summary and Multi-scale Transmission Network for Aspect Extraction. INTERNATIONAL CONFERENCE ON IDENTIFICATION, INFORMATION AND KNOWLEDGE IN THE INTERNET OF THINGS 2019.

 

会议报告:

 

Shuanghe Yu, Yuan Rao, Yi Ding, Lianwei Wu. Research Massive Text Classification Based on Multi-scale CNN Improved BERT. SMP 2019.

 

Yi Ding, Shuanghe Yu, Yuan Rao, Lianwei Wu. Question Answering over Knowledge Base via BERT-based Multi-Feature Fusion Model. SMP 2019.

  

中文文章:

  赵永强,饶元,董世鹏,张君毅. 深度学习的目标检测方法研究综述. 中国图象图形学报. 2019.(已录用)

 

  樊笑冰,饶元,王硕,李睿祥,刘旭辉 基于命名实体敏感的新闻故事线生成方法. 中文信息学报 2019. (已录用)

 

  刘雁,饶元*,基于多领域复杂网络拓扑结构的节点重要度评价方法[j], 中国科技大学学报,2019(已录用).

 

  于花蕾, 饶元, 汤才芳, 任浩然. 证券市场股东画像的构建[J]. 中文信息学报, 2019, 33(2): 122-130.

 

  张晨昕, 饶元, 樊笑冰, 王硕. 基于社交媒体的事件脉络挖掘研究进展. 中文信息学报. 2019. 33(11). 15-30.

 

  朱张莉, 饶元, 吴渊, 祁江南, 张钰. 注意力机制在深度学习中的研究进展[J]. 中文信息学报. 2019, 33(6): 1-11.


2018年发表的论文

 

[1] Lu Zhang, Yu Zhang, Ya-Li Peng, Shi-Gang Liu, Xiaojun Wu, Gang Lu, Yuan Rao, Fast Single Image Super-Resolution via Dilated Residual Networks[J], IEEE access 2018, Vol.14(8):1~11;

 

[2] Lianwei Wu, Yuan Rao*, Hualei Yu, Yiming Wang and Ambreen Nazir, False Information Detection on Social Media via a Hybrid Deep Model[C]//International Conference on Social Informatics. Springer, Cham, 2018: 323-333. 

 

[3] LU Yi, Rao Yuan*, Sun Long, Expert Information Automatic Extraction for IOT Knowledge Base[C], IIKI2018, Bejing, 2018.10

 

[4] Tang C, Rao Y*, Yu H, Cheng J. The Research Progress of Knowledge Graph based on Knowledge Base Embedding[C]//4th International Conference of Pioneering Computer Scientists, Engineers and Educators, 2018.9.

 

[5] Sun L, Rao Y*, Lu Y, Li X. A Method of Chinese Named Entity Recognition Based on CNN-BILSTM-CRF Model[C]//4th International Conference of Pioneering Computer Scientists, Engineers and Educators, 2018. 9; 

 

中文论文:

 [1] 饶元*,吴连伟,王一鸣,冯聪,基于语义分析的情感计算技术研究进展[J]. 软件学报, 2018, Vol. 29(8):23972426. http:// www.jos.org.cn/1000-9825/5564.htm

 

 [2] 饶元*, 吴连伟, 张君毅. 跨媒介舆情网络环境下信息传播机制研究与进展[J],中国科学: 信息科学, 2017, 47(12): 1623–1645;

 

 [3] 饶元,陆淑敏,面向知识服务的科技资源协同创新服务机制[J],计算机科学,2018Vol.45(7):286~292;

 

 [4] 吴连伟,饶元*,樊笑冰,网络传播信息内容的可信度研究进展[J],中文信息学报,2018, 32(2): 1-11,21.

  

2017年以前

  Yiming Wang, Yuan Rao, Lianwei Wu: A Review of Sentiment Semantic Analysis Technology and Progress. IEEE 2017 International Conference Information Security, HongKong, 2017. 12CIS 2017: 452-455   CSCI

 

  Zhao Yanqin, Rao Yuan*, A CPS-Based Intelligence-Awareness Platform for IT Service Management[C], IEEE 2017 China Automatic Conference & Intelligent Manufacturing International Conference, 2017. 10, Jinan, China;

 

  Rao Yuan*, Zhong Jihui, Lu Shumin, LP-LDAA News Topic-driven Stock Movement Analysis Method[C], IEEE IIK 2016,11, Beijing;

 

  Yuan Rao #, Shumin Lu, Service-Oriented Knowledge Acquisition Paradigm and Knowledge Cloud Platform, Knowledge Engineering and Management, Advances in Intelligent Systems and Computing, 2014, Jun. Vol.278:233-242; (IDS: BB3OIEI20142717909136 )

 

  Rao, Y. #, Li, X. J., A Topic-based Dynamic Clustering Algorithm for Text Stream, Advances in Intelligent Systems Research, 2015, Vol.123: 480-483; (IDS: BD3PM)

 

  Rao Yuan#, Chen Shaochuan, Research on KAAS-based Social Knowledge Collaboration Service Mechanism and Application, Advances in Intelligent Systems Research, 2013,Vol. 37,p.32-36; ( IDS: BID52)

 

   Lu Zhaogan, Rao Yuan, Zhang Taiyi, Multiuser MIMO OFDM Based TDD/TDMA for Next Generation Wireless Communication Systems. Journal of Wireless Personal Communications [J], 2010.1, Vol.52, No.2. p:289-324;EI: 20100112616909,  SCI: IDS Number: 534QT

 

  Du, XZ ; Lu, HM; Rao, Y; Modeling and Analyses of Operational Software System with Rejuvenation and Reconfiguration, PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (CSAIT 2013): Advances in Intelligent Systems and Computing, 2014, Vol. 255: 799-807 (IDS: BA9IJ);