2022年已录用和发表的研究论文

 

• Ling Sun, Yuan Rao, Yuqian Lan, Bingcan Xia,  HG-SL: Jointly Learning of Global and Local User Spreading Behavior for Fake News Early Detection, AAAI Conference on Artificial Intelligence (AAAI 2023). (CCF-A，顶会)   

 

• Ling Sun, Yuan Rao, Xiangbo Zhang, Yuqian Lan, Shuanghe Yu，MS-HGAT: Memory-enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction，AAAI Conference on Artificial Intelligence (AAAI 2022). (CCF-A，顶会)   

 

• Ambreen Nazir, Yuan Rao, RIAOTP: An Interactive End-to-End Solution for Aspect-Opinion Term Pairs Extraction, SIGIR 2022; (Accept) (CCF-A，顶会) 

 

• A. Nazir, Y. Rao, L. Wu and L. Sun, "Issues and Challenges of Aspect-based Sentiment Analysis: A Comprehensive Survey," in IEEE Transactions on Affective Computing, vol. 13, no. 2, pp. 845-863, 1 April-June 2022, doi: 10.1109/TAFFC.2020.2970399.  ((Q1 影响因子：13.990)  全球高被引论文-ESI收录 

 

•  L. Sun，Y. Rao, L. Wu and et.al., Fighting False Information from Propagation Process: A Survey，ACM Computing Surveys, (Q1/CCF A) 已录用 (影响因子：14.324) 

 

• A. Nazir, Y. Rao, "IAF-LG: An Interactive Attention Fusion Network with Local and Global Perspective for Aspect-based Sentiment Analysis" in IEEE Transactions on Affective Computing, 2022  已录用； ((Q1, 影响因子：13.990)

 

2021年已录用和发表的研究论文

 

• Wu LW, Rao Y, Lan YQ, Sun L, and Qi ZY. Unified Dual-view Cognitive Model for Interpretable Claim Verification. The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021).  (CCF A，顶会)

 

• Wu LW, Rao Y, Sun L, He WB. Evidence Inference Networks for Interpretable Claim Verification. AAAI Conference on Artificial Intelligence (AAAI 2021). (CCF-A)

 

• Wu LW, Rao Y, Zhang C, et al. Category-controlled Encoder-Decoder for Fake News Detection[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. (Accept) ((IF:6.977，JCR/Q1，CCF-A);

 

• Ling Sun, Yuan Rao, Lianwei Wu, Xiangbo Zhang, Ambreen Nazir，Fighting False information from Propagation Process: A Survey[J], ACM COMPUTING SURVEY，2021. (Under Review) , (IF:10.2，JCR/Q1)

 

•  TANG Caifang, RAO Yuan，YU Hualei, SUN Ling, CHENG Jiamin and WANG Yutian， Improving Knowledge Graph Completion Using Soft Rules And Adversarial Learning, Chinese Journal of Electronics, Jan. 2021, ACCPET（SCI）;

 

• Ding Yi, Rao Yuan, Yang Fan, Graph-based KB and Text Fusion Interaction Network for Open Domain Question Answering[C], IJCNN 2021, (ACCEPT) (CCF C)

 

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 Sun，Issues 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 Rao，Adaptive 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):2397−2426. 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，2018，Vol.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. 12（CIS 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-LDA：A 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: BB3OI；EI：20142717909136 )

 

 • 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);