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

个人主页: http://sdcs.sysu.edu.cn/content/2471



教师简介:
饶洋辉，副教授，博士生导师。主持国家自然科学基金面上项目、青年科学基金项目、广东省自然科学基金面上项目各1项，并参与多项国家自然科学基金联合基金重点支持项目或科技部重大项目。在IEEE?Trans. on Knowledge and Data Engineering，ACM Trans. on Information Systems，IEEE Trans. on Cybernetics，IEEE Trans. on Affective Computing，IEEE Intelligent Systems等国际期刊，以及ACL，EMNLP，NAACL等国际会议上发表第一/通讯作者论文近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：Neural/Parallel/Fast?Topic Modeling, Non-negative Matrix?Factorization
情感分析：Social Emotion Classification/Emotion Distribution Learning, Sentiment Strength Prediction
事件检测：Emerging Event/First Story?Detection, Rumor Event Detection in Social Media
? 欢迎对以上领域感兴趣的同学加入我们团队！联系邮箱：raoyangh@mail.sysu.edu.cn

教育背景:
2011.9 - 2014.9，香港城市大学，博士。导师：李青
2007.9 - 2010.1，中国科学院研究生院，硕士。导师：谭宗颖
2003.9 - 2007.6，华中师范大学，本科。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（计算机学院）工作。

科研项目:
国家自然科学基金面上项目，基于完全随机测度的文本流主题挖掘研究，负责人。
国家自然科学基金青年科学基金项目，读者视角的跨领域隐式情感分析理论及关键技术研究，负责人。
广东省自然科学基金面上项目，可解释的神经主题模型理论及应用研究，负责人。
中山大学粤港澳发展研究院年度课题，负责人。
中山大学网络与信息技术中心预研究项目，负责人。

主要学术兼职:
Demo Chair: APWEB-WAIM 2021
Senior/PC Member & Reviewer: EMNLP 2021, ACL?2021, IJCAI 2021, AAAI 2021, AAAI 2020, AAAI 2019

代表性论著:
2021:
Z. Y. Chen?(Master student), C. Ding?(Master student), Z. S. Zhang?(Master student),?Y. H. Rao*,?H. R. Xie,?Tree-structured topic modeling with nonparametric neural variational inference, in the?59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021, accepted.
X. R. Qin (Research assistant), Y. Y. Lu (Undergraduate student), Y. F. Chen (Master student), Y. H. Rao*,?Lifelong learning of topics and domain-specific word embeddings,?in the?59th Annual Meeting of the Association for Computational Linguistics (ACL): Findings, 2021, accepted.
Y. H. Feng (Master student), Y. H. Rao*, Y. Y. Tang, N. H. Wang,?H. Liu,?Target-specified sequence labeling with multi-head self-attention for target-oriented opinion words extraction, in?Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021, accepted.
J. H. Pang (Undergraduate student), Y. H. Rao*, H. R. Xie, X. Z. Wang, F. L. Wang, T.-L. Wong, Q. Li, Fast supervised topic models for short text emotion detection, IEEE Trans. on Cybernetics, 2021, 51(2): 815-828. [This work was finished when J. H. Pang was an undergraduate student of his final year]
2020:
L. H. Lin (Master student), Y. H. Rao*, H. R. Xie, Raymond Y. K. Lau, J. Yin, F. L. Wang, Q. Li, Copula guided parallel gibbs sampling for nonparametric and coherent topic discovery, IEEE Trans. on Knowledge and Data Engineering, 2020, in press.
J. M. Wu (Undergraduate student), Y. H. Rao*, Z. S. Zhang (Master student), H. R. Xie, Q. Li, F. L. Wang, Z. Y. Chen (Master student),?Neural mixed counting models for dispersed topic discovery, in the?58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020, pp.?6159-6169. [Code]
L. H. Lin (Master student), H. Y. Jiang?(Master student), Y. H. Rao*,?Copula guided neural topic modelling for short texts, in?the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020, pp.?1773-1776.
J. C. Feng (Master student), Y. H. Rao*, H. R. Xie, F. L. Wang, Q. Li, User group based emotion detection and topic discovery over short text, World Wide Web Journal, 2020, 23: 1553-1587.
X. R. Qin (Undergraduate student), Y. H. Rao*, H. R. Xie, J. Yin, F. L. Wang, Extractive convolutional adversarial networks for network embedding, World Wide Web Journal, 2020, 23: 1925-1944.
2019:
X. Y.?Zhan, Y. W. Wang,?Y. H. Rao*, Q. Li, Learning from multi-annotator data:?A noise aware classification framework, ACM Trans. on Information Systems, 2019, 37(2): 26:1-26:28.
X. M. Chen (Master student), Y. H. Rao*, H. R. Xie, F. L. Wang, Y. C. Zhao, J. Yin, Sentiment classification using negative and intensive sentiment supplement information, Data Science and Engineering, 4: 109-118, 2019.
X. Li (Undergraduate student), Y. H. Rao*, H. R. Xie, X. B. Liu (Undergraduate student), T.-L. Wong, F. L. Wang, Social emotion classification based on noise-aware training, Data & Knowledge Engineering, 2019,?123: 101605. [This work was submitted when X. Li was an undergraduate student of his final year]
2018:
M. H. Huang (Undergraduate student), Y. H. Rao*, Y. W. Liu (Master student), H. R. Xie, 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, 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]
2017:
X. S. Li (Undergraduate student), Y. H. Rao*, H. R. Xie, Raymond Y. K. Lau, J. Yin, F. L. Wang, Bootstrapping social emotion classification with semantically rich hybrid neural networks, IEEE Trans. on Affective Computing, 2017, 8(4): 428-442.
X. Y. Zhan (Undergraduate student), Y. W. Wang (Undergraduate student), Y. H. Rao*, H. R. Xie, Q. Li, F. L. Wang, 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, 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, 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]
Y. H. Rao, J. H. Pang (Undergraduate student), H. R. Xie, A. Liu, T.-L. Wong, Q. Li, 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, 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), 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), X. Y. Xiang (Undergraduate student), Multi-label maximum entropy model for social emotion classification over short text, Neurocomputing, 2016, 210: 247-256.
X. S. Li (Undergraduate student), J. H. Pang (Undergraduate student), B. Y. Mo (Undergraduate student), 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), 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, 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, 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, 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, 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, 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,?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, 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.