饶洋辉

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

饶洋辉,副教授。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 Trans. on Affective Computing,Data & Knowledge Engineering,IEEE Intelligent System等国际权威期刊,以及ACL,CIKM,IJCNN等国际重要会议上发表SCI/EI检索学术论文近30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
工作经历: 

  • 2014.9 - 至今,中山大学,先后在移动信息工程学院、数据科学与计算机学院工作
科研项目: 
  1. 国家自然科学基金青年科学基金项目,项目负责人。
  2. 中山大学粤港澳发展研究院年度课题,项目负责人。
  3. 中山大学网络与信息技术中心预研究项目,项目负责人。
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, 8(4): 428-442.
  • 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.
  • E. D. Zhu (Undergraduate student), Y. H. Rao*, H. R. Xie, Y. W. Liu, J. Yin, and F. L. Wang, Cluster-level emotion pattern matching for cross-domain social emotion classification, in the 26th ACM International Conference on Information and Knowledge Management, 2017, pp. 2435-2438.
  • 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.