饶洋辉

所属研究所、院系: 
大数据与计算智能研究所
职称: 
讲师
E-mail: 
raoyangh@mail.sysu.edu.cn
教师简介: 

饶洋辉,讲师。主持国家自然科学基金青年科学基金项目1项,参与国家自然科学基金联合基金重点支持项目1项。在IEEE Intelligent Systems,IEEE Transactions on Affective Computing,Data & Knowledge Engineering等国际权威期刊,以及ACL,WWW Companion,AAAI等国际知名会议上发表学术论文30余篇。曾获CCF B类会议DASFAA'17的最佳论文亚军奖。

研究领域: 
  • 情感分析,主题建模,事件检测
教育背景: 
  • 2011年9月-2014年9月,香港城市大学,计算机科学专业,博士学位
  • 2007年9月-2010年1月,中国科学院文献情报中心,情报学专业,硕士学位
  • 2003年9月-2007年6月,华中师范大学,电子商务专业,学士学位
工作经历: 

  • 2016年1月-至今,中山大学数据科学与计算机学院,讲师
  • 2014年9月-2016年1月,中山大学移动信息工程学院,讲师
科研项目: 
  1. 读者视角的跨领域隐式情感分析理论及关键技术研究,国家自然科学基金青年科学基金项目,合同经费25.92万。项目负责人。时间:2016年1月-2018年12月。
  2. 社交网络中基于语义分析的事件挖掘与建模研究,中山大学青年教师培育项目,合同经费10万。项目负责人。时间:2015年1月-2016年12月。
代表性论著: 
  • X. S. Li (Undergraduate student), Y. H. Rao*, H. R. Xie, Raymond Y. K. Lau, J. Yin, and F. L. Wang, Bootstrapping social emotion classification with semantically rich hybrid neural networks, IEEE Transactions on Affective Computing, 2017, https://doi.org/10.1109/TAFFC.2017.2716930
  • X. Li (Undergraduate student), Y. H. Rao*, H. R. Xie, X. B. Liu (Undergraduate student), T.-L. Wong, and F. L. Wang, Social emotion classification based on noise-aware training, Data & Knowledge Engineering, 2017, https://doi.org/10.1016/j.datak.2017.07.008 [This work was submitted when X. Li was an undergraduate student of his final year]
  • Y. W. Wang (Undergraduate student), Y. H. Rao*, X. Y. Zhan (Undergraduate student), H. J. Chen (Undergraduate student), M. Q. Luo (Master student), and J. Yin, Sentiment and emotion classification over noisy labels, Knowledge-Based Systems, 2016, 111: 207-216.
  • J. Li (Master student), Y. H. Rao*, F. M. Jin (Undergraduate student), H. J. Chen (Undergraduate student), and X. Y. Xiang (Undergraduate student), Multi-label maximum entropy model for social emotion classification over short text, Neurocomputing, 2016, 210: 247-256.
  • Y. H. Rao, Contextual sentiment topic model for adaptive social emotion classification, IEEE Intelligent Systems, 2016, 31(1): 41-47.
  • Y. H. Rao, Q. Li, Q. Y. Wu, H. R. Xie*, F. L. Wang, and T. Wang, A multi-relational term scheme for first story detection, Neurocomputing, 2017, 254: 42-52.
  • Y. H. Rao, H. R. Xie*, J. Li (Master student), F. M. Jin (Undergraduate student), F. L. Wang, and Q. Li, Social emotion classification of short text via topic-level maximum entropy model, Information & Management, 2016, 53: 978-986.
  • X. Y. Zhan (Undergraduate student), Y. W. Wang (Undergraduate student), Y. H. Rao*, H. R. Xie, Q. Li, F. L. Wang, and T.-L. Wong, A network framework for noisy label aggregation in social media, in the 55th Annual Meeting of the Association for Computational Linguistics, 2017, pp. 484-490.
  • H. J. Chen (Undergraduate student), X. Li (Undergraduate student), Y. H. Rao*, H. R. Xie, F. L. Wang, and T.-L. Wong, Sentiment strength prediction using auxiliary features, in the 26th International World Wide Web Conference, Companion Volume, 2017, pp. 5-14. [This work was finished when X. Li was an undergraduate student of his final year]
  • X. C. Huang (Undergraduate student), Y. H. Rao*, H. R. Xie, T.-L. Wong, and F. L. Wang, Cross-domain sentiment classification via topic-related tradaboost, in the 31st AAAI Conference on Artificial Intelligence, Poster Session, 2017, pp. 4939-4940.
  • Y. H. Rao, J. H. Pang (Undergraduate student), H. R. Xie, A. Liu, T.-L. Wong, Q. Li, and F. L. Wang, Supervised intensive topic models for emotion detection over short text, in the 22nd International Conference on Database Systems for Advanced Applications, 2017, pp. 408-422, Best Paper Runner Up Award.
  • X. Li (Undergraduate student), Y. H. Rao*, Y. J. Chen (Undergraduate student), X. B. Liu (Undergraduate student), and H. Huang (Undergraduate student), Social emotion classification via reader perspective weighted model, in the 30th AAAI Conference on Artificial Intelligence, Poster Session, 2016, pp. 4230-4231.
  • X. S. Li (Undergraduate student), J. H. Pang (Undergraduate student), B. Y. Mo (Undergraduate student), and Y. H. Rao*, Hybrid neural networks for social emotion detection over short text, in the 2016 International Joint Conference on Neural Networks, 2016, pp. 537-544.
  • X. Li (Undergraduate student), H. R. Xie, Y. H. Rao*, Y. J. Chen (Undergraduate student), X. B. Liu (Undergraduate student), H. Huang (Undergraduate student), and F. L. Wang, Weighted multi-label classification model for sentiment analysis of online news, in the 2016 International Conference on Big Data and Smart Computing, 2016, pp. 215-222.
  • Z. W. Wu (Undergraduate student), Y. H. Rao*, X. Li (Undergraduate student), J. Li (Master student), H. R. Xie, and F. L. Wang, Sentiment detection of short text via probabilistic topic modeling, in the 2nd International Workshop on Semantic Computing and Personalization (SeCoP) co-located with the 20th International Conference on Database Systems for Advanced Applications (DASFAA), 2015, pp. 76-85, Best Paper.
  • Y. H. Rao*, Q. Li, X. D. Mao, and L. Wenyin, Sentiment topic models for social emotion mining, Information Sciences, 2014, 266: 90-100.
  • Y. H. Rao*, Q. Li, L. Wenyin, Q. Y. Wu, and X. J. Quan, Affective topic model for social emotion detection, Neural Networks, 2014, 58: 29-37.
  • Y. H. Rao, J. S. Lei*, L. Wenyin, Q. Li, and M. L. Chen, Building emotional dictionary for sentiment analysis of online news, World Wide Web Journal, 2014, 17: 723-742.
  • 饶洋辉*, 李青, 刘文印, 李晶晶, 公众文本之情感词典研究进展, 中国科学: 信息科学, 2014, 44(7): 825-835.
  • Y. H. Rao* and Q. Li, Term weighting schemes for emerging event detection, IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2012, pp. 105-112.
  • Y. H. Rao*, X. J. Quan, L. Wenyin, Q. Li, and M. L. Chen, Building word-emotion mapping dictionary for online news, in the 1st International Workshop on Sentiment Discovery from Affective Data (SDAD) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2012, pp. 28-39.