刘瑞芳

一寸照公开

姓名: 刘瑞芳
性别: 女
学位: 工学博士
职称: 副教授
主要方向:机器学习、自然语言处理、智能信息处理

电话:62283059-1002
邮箱:lrf@bupt.edu.cn

教育经历:

1994年获得北京邮电学院计算机应用专业学士学位,

1997年获得北京邮电大学计算机应用专业硕士学位,

2006年获得北京邮电大学电路与系统专业博士学位。

2008.9-2009.8在美国德州农机大学(Texas A&M Univ.)作访问学者一年。

1997至今一直在北京邮电大学任教。

发表论文:

1、Zhenhua Zhang, Ruifang Liu & Weiran Xu, Mining users for organizations on micro-blogs, 2013 International Conference on Information,business and Education Technology,ICIBET2013- Proceedings,P41-44

2、Ruifang Liu, Weiping Huang, Shan Feng & Wenbin Guo, Attractiveness-based community detection for large social networks,Third International Conference on Innovative Computing Technology(INTECH2013),2013.8.29-31,London. (EI检索号:20140117155766)

3、Yong Zhang, Ruifang Liu & Ruiyang Luo, Improving Frequent-Term Based Text Clustering with Word Belief Network,Applied Mechanics and Materials (2013.7). (EI检索号:20134416919908)

4、Ruifang Liu, Baojing Yu, Jiang Xue & Lixin Xu, The Design of kNN Text Categorization on Storm Cluster,Applied Mechanics and Materials (2013.9). (EI检索号:20134416928034)

5、Shan Feng, Ruifang Liu, Sheng Gao, Pingyang Liu & Lin Du, Co-Clustering Model for Paper-Author Relationship Identification, 2013 International Conference on Electrical, Control and Automation Engineering(ECAE2013), 2013.12.1-2, HongKong.

6、Ruifang Liu, Shan Feng, Ruisheng Shi and Wenbin Guo, Weighted Graph Clustering for Community Detection of Large Social Networks, The Second International Conference on Information Technology and Quantitative Management(ITQM2014), Moscow (Russia), June 3-5, 2014.

 7、Hongyan Li, Ruifang Liu, Weiran Xu & Ruisheng Shi, Multi-features based classification for automatic summarization, Multimedia,Communication,Computing Artificial(MCCA2014), 2014年10月16-17日, 厦门

8、Ruifang Liu, Yongjiang Zhao & Ruisheng Shi, Sybil Detection and Analysis of Micro-blog Sina, International Conference on Informatics, Networking and Intelligent Computing (INIC2014), 2014年11月16-17,深圳.

9、Ruisheng Shi, Shan Feng & Ruifang Liu, Friends Recommend in Micro-blog Social Networks, Second International Conference on Advances in Computing, Communication and Information Technology (CCIT2014), Birmingham, UK, NOV.16-17, 2014.

10、ShanFeng, Ruifang Liu, Qinlong Wang and Ruisheng Shi, Word Distributed Representation Based Text Clustering, 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS2014), 2014年11月27~29日,深圳&香港.

 11、王钦龙,刘瑞芳,李虹桥,郭文彬.Topical Paragraph Vector Learning, The 11th International Conference on Natural Computation, 中国,张家界, 20150815-20150817

12、李虹桥,刘瑞芳,包兆雄,王钦龙.An Integrated Model for Detecting Spam Microblogs Combining Latent Paragraph and User Vector, The 11th International Conference on Natural Computation, 中国,张家界, 20150815-20150817

13、梁江林,刘瑞芳. Stacked Denoising Autoencoder and Dropout together to Prevent Overfitting in Deep Neural Network, 8th International Congress on Image and SignalProcessing(CISP 2015), 中国,沈阳, 20151014-20151016

14、崔珊 刘瑞芳. A trust-based friend recommendation strategy in microblog, 2nd International Conference on Computers and Information Processing Technologies, 中国,珠海, 20151030-20151031

15、李鑫,刘瑞芳. Extracting High-level Multimodal Features, 2nd International Conference on Computers and Information Processing Technologies ,中国,珠海, 20151030-20151031

16、侯俊萌,刘瑞芳. Constructing knowledge map for MOOC using data mining methods, ” 2nd International Conference on Education, Management and Information Technology” ,中国,济南,20151011-20151012

17、李亚梦,刘瑞芳,彭宗徽. The Research of Community Detection Based on Micro-blog Users The 2015 International Conference on Progress in Informatics and Computing (PIC-2015),中国,南京 20151218-20151220

18、唐琳瑶,刘瑞芳,徐蔚然. Three-Way Data Recommendation Method and Application Third International Conference on Advances in Information Processing and Communication Technology, Rome,Italy, 20151210-20151211

19、张羽,刘瑞芳,李傲冬,肖波.A Novel Approach to Recommender System Based on Aspect-level Sentiment Analysis, 4th International Conference on Electrical, Information Engineering and Mechatronics(EIEM 2015), 中国,重庆,20151128-20151129

19、张羽,刘瑞芳,李傲冬,肖波.A Novel Approach to Recommender System Based on Aspect-level Sentiment Analysis, 4th International Conference on Electrical, Information Engineering and Mechatronics(EIEM 2015), 中国,重庆,20151128-20151129

20、殷丹平, 高思远, 彭宗徽, 李亚梦, A Rating Model Based on Tags for ABSTRACT Contextual Suggestion, The Twenty-Fifth Text REtrieval Conference Proceedings, 2016.

21、彭宗徽, 刘瑞芳, 李思. Leveraging Morphological Information via Employing Word Hashing for Sequence Labeling[A]. 2017 International Conference on Progress Informatics and Computing. Nanjing. 2017.(EI检索).

22、林旭鸣, 刘瑞芳, 胡文妹. A Deep Convolutional Network Demodulator for Mixed Signals with Different Modulation Types; proceedings of the Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence & Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress (DASC/PiCom/DataCom/CyberSciTech), 2017 IEEE 15th Intl, F, 2017 [C]. IEEE.

23、胡文妹,林旭鸣,刘瑞芳. A Deep Learning Method to Estimate Independent Source Number. 2017 4th International Conference on Systems and Informatics(ICSAI2017).

24、林旭鸣, 刘瑞芳, 李艺伟. An Option Gate Module for Sentence Inference on Machine Reading Comprehension; proceedings of the Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM), F, 2018 [C]. ACM

25、刘瑞芳, 高思远, 苗航. A Gamma-Poisson Block Model for Community Detection in Directed Network. ICNC-FSKD 2018.

26、苗航,刘瑞芳,高升,周鑫,何晓新. END-TO-END DEEP MEMORY NETWORK FOR VISUAL-TEXTUAL SENTIMENT ANALYSIS,IC-NIDC 2018.

27、李子烨,刘瑞芳,林旭鸣,石航. Detection of Frequency-hopping Signals Based on Deep Neural Networks. 2018 IEEE 3rd International Conference on Communication and Information Systems (ICCIS 2018)

28、苗航, 刘瑞芳, 高升. A Multiple Granularity Co-Reasoning Model for Multi-choice Reading Comprehension, 2019 International Joint Conference on Neural Networks (IJCNN 2019) 2019.7.14 2019.7.19

29、苗航, 刘瑞芳, 高升. Option Attentive Capsule Network for Multi-choice Reading Comprehension. 26th International Conference on Neural Information Processing (ICONIP 2019) 2019.12.12 2019.12.15

30、尹潇潇, 刘瑞芳, 吕振东. A Deep Learning Based Reasoner for Global Consistency in Named Entity Recognition. ICNC-FSKD2019.

31、毛鹏, 苗航. 关于实体关系信息在答案选择网络中应用 [J]. 电子技术与软件工程, 2019, 24: 23-25.

32、刘欣瑜, 刘瑞芳, 石航, 韩斌. 基于图神经网络和语义知识的自然语言推理任务研究[J]. 中文信息学报, 2021,6.

33、石航, 刘瑞芳, 刘欣瑜, 陈泓宇. 基于文章和近答案句信息的问题生成模型[J]. 中文信息学报, 2021,6.

34、徐家伟, 刘瑞芳, 李思, 高升. 面向中文成语的阅读理解方法研究[J]. 中文信息学报, 2021,7.

35、陈泓宇, 刘瑞芳, 方瀚, 张茜铭. Adaptive Re-balancing Network with Gate Mechanism for Long-tailed Visual Question Answering. ICASSP 2021. 2021,6.

36、张茜铭, 刘瑞芳. Jointly Learning Salience and Redundancy by Adaptive Sentence Reranking for Extractive Summarization.  第二十届中国计算语言学大会(CCL2021)

37、Qianwen Zhang, Ximing Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao and Minling Zhang. Correlation-Guided Representation for Multi-Label Text Classfication. IJCAI2021.

38、Ximing Zhang, Qianwen Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao. Enhancing Label Correlation Feedback in Multi-Label Text Classfication via Multi-Task Learning. ACL2021.

39、Hongyu Chen, Ruifang Liu and Bo Peng. Cross-model Relational Reasoning Network for Visual Question Answering. ICCV2021.

出版教材:

  • 参与编写《计算机应用基础教程》,人民邮电出版社,徐惠民等,2003年
  • 参与编写《C++大学基础教程》,人民邮电出版社,徐惠民等,2005年
  • 参与编写《C++高级语言程序设计》,人民邮电出版社,徐惠民等,2011年
  • 参与编写《C++高级语言程序设计案例与实践辅导》,人民邮电出版社,徐惠民等,2011年
  • 参与编写《微机原理与接口技术》(基于嵌入式芯片),机械工业出版社,徐惠民等,2010年
  • 参与编写《微机原理与接口技术》(第二版),高等教育出版社,田辉等,2011年
  • 参与编写《微机原理与接口技术》(第三版),高等教育出版社,田辉等,2020年
  • 主编《程序设计实践》,北京邮电大学出版社,刘瑞芳等,2015年
  • 主编《C++语言程序设计》,西安电子科技大学出版社,刘瑞芳等,2017年
  • 主编《C++语言程序设计案例与实践辅导》,西安电子科技大学出版社,刘瑞芳等,2017年
  • 主编《程序设计实践》(第2版),北京邮电大学出版社,刘瑞芳等,2020年