饒洋輝

饒洋輝，男，博士，中山大學數據科學與計算機學院副教授。主持國家自然科學基金青年科學基金項目1項，參與國家自然科學基金聯合基金重點支持項目2項。在ACM Trans. on Information Systems，IEEE Trans. on Affective Computing，IEEE Intelligent Systems等國際期刊，以及ACL，EMNLP，CIKM等國際會議上發表SCI/EI檢索學術論文近30篇。曾獲CCF B類會議DASFAA'17的最佳論文亞軍獎。

基本介紹

  • 中文名：饒洋輝
  • 畢業院校：香港城市大學
  • 學位/學歷：博士
  • 職業：教師
  • 職稱：副教授
研究領域,人物經歷,教育經歷,工作經歷,學術成果,科研項目,代表性論著,

研究領域

  • 主題挖掘，情感分析，事件檢測

人物經歷

教育經歷

  • 2011.9 - 2014.9，香港城市大學，計算機科學，博士，導師：李青
  • 2007.9 - 2010.1，中國科學院研究生院，情報學，碩士，導師：譚宗穎
  • 2003.9 - 2007.6，華中師範大學，電子商務，導師：張大斌

工作經歷

  • 2014.9 - 至今，中山大學，先後在移動信息工程學院、數據科學與計算機學院工作。主講《人工智慧原理》、《作業系統設計與實現》等課程。
  • 2018年秋季學期主講《人工智慧原理》專業必修課程，評教得分在全校3732門參評課程中排名第1。
  • 2016年秋季學期負責《人工智慧實驗》專業選修課程，評教得分在全校747門參評課程中排名第1。
  • 2015年春季學期負責《作業系統設計與實現實驗》專業必修課程，評教得分在學院42門參評課程中排名第1。

學術成果

科研項目

  1. 國家自然科學基金青年科學基金項目，項目負責人。
  2. 中山大學粵港澳發展研究院年度課題，項目負責人。
  3. 中山大學網路與信息技術中心預研究項目，項目負責人。

代表性論著

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
  • 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.
  • 饒洋輝*, 李青, 劉文印, 李晶晶, 公眾文本之情感詞典研究進展, 中國科學: 信息科學, 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.

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