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2项。在ACM Trans. on Information Systems,IEEE Trans. on Affective Computing,IEEE Intelligent Systems等国际期刊,以及ACL,EMNLP,CIKM等国际会议上发表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: 
  • 主题挖掘,情感分析,事件检测
教育背景: 
  • 2011.9 - 2014.9,香港城市大学,计算机科学,博士,导师:李青
  • 2007.9 - 2010.1,中国科学院研究生院,情报学,硕士,导师:谭宗颖
  • 2003.9 - 2007.6,华中师范大学,电子商务,导师:张大斌
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。主讲《人工智能原理》、《操作系统设计与实现》等课程。
  • 2018年秋季学期主讲《人工智能原理》专业必修课程,评教得分在全校3732门参评课程中排名第1。
  • 2016年秋季学期负责《人工智能实验》专业选修课程,评教得分在全校747门参评课程中排名第1。
  • 2015年春季学期负责《操作系统设计与实现实验》专业必修课程,评教得分在学院42门参评课程中排名第1。
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: 

2019:

  • X. Y. Zhan, Y. W. Wang, Y. H. Rao*, and Q. Li, Learning from multi-annotator data: A noise aware classification framework, ACM Transactions on Information Systems, 2019, 37(2): 26:1-26:28.
  • Q. J. Yang (Master student), Y. H. Rao, H. R. Xie, J. H. Wang, F. L. Wang, and W. H. Chan. Segment-level joint topic-sentiment model for online review analysis, IEEE Intelligent Systems, 2019, 34(1): 43-50. [This work was submitted when Q. J. Yang was a master student of her final year]
  • L. Luo (Master student), H. R. Xie, Y. H. Rao, and F. L. Wang, Personalized recommendation by matrix co-factorization with tags and time information, Expert Systems with Applications, 2019, 119: 311-321.

2018:

  • M. H. Huang (Undergraduate student), Y. H. Rao*, Y. W. Liu (Master student), H. R. Xie, and F. L. Wang, Siamese network-based supervised topic modeling, in the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018, pp. 4652-4662.
  • X. S. Li (Undergraduate student), Y. H. Rao*, H. R. Xie, Y. F. Chen (Master student), Raymond Y. K. Lau, F. L. Wang, and J. Yin, Learning dual preferences with non-negative matrix tri-factorization for top-N recommender system, in the 23rd International Conference on Database Systems for Advanced Applications (DASFAA), 2018, pp. 133-149. [This work was finished when X. S. Li was an undergraduate student of his final year]
  • W. M. Liang (Master student), H. R. Xie, Y. H. Rao, Raymond Y. K. Lau, and F. L. Wang, Universal affective model for Readers' emotion classification over short texts, Expert Systems with Applications, 2018, 114: 322-333. [This work was submitted when W. M. Liang was a master student of his final year]
  • Z. N. Xu (Master student), Y. T. Fu (Master student), X. M. Chen (Master student), Y. H. Rao, H. R. Xie, F. L. Wang, and Y. Peng, Sentiment classification via supplementary information modeling, in the 2nd International Joint Conference on Web and Big Data (APWeb-WAIM), 2018, pp. 54-62.

2017:

  • 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]
  • 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 (ACL), 2017, pp. 484-490.
  • E. D. Zhu (Undergraduate student), Y. H. Rao*, H. R. Xie, Y. W. Liu (Master student), 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 (CIKM), 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 (WWW), 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 (AAAI), 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 (DASFAA), 2017, pp. 408-422, Best Paper Runner Up Award.
  • 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.

2016:

  • 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.
  • 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 (AAAI), 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 (IJCNN), 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 (BigComp), 2016, pp. 215-222.
  • Y. H. Rao, Contextual sentiment topic model for adaptive social emotion classification, IEEE Intelligent Systems, 2016, 31(1): 41-47.
  • 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.

2015:

  • 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.

2012~2014:

  • 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 (WI-IAT), 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.

Full list: https://dblp.uni-trier.de/pers/hd/r/Rao:Yanghui