饶洋辉

副教授

联系邮箱： raoyangh@mail.sysu.edu.cn

个人主页： /teacher/RaoYanghui

教师简介: 

饶洋辉，副教授，博士生导师。2014年博士毕业于香港城市大学，师从李青教授。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及课题，入选“广东特支计划”科技创新青年拔尖人才，并参与多项国家重点研发计划课题和国家自然科学基金-广东大数据科学中心联合基金重点支持项目。研究成果发表在IEEE TKDE、IEEE TNNLS、IEEE TCYB、ACM TOIS、ACM TKDD、BIB、Bioinformatics、TACL、TCBB、ACL、IJCAI、ECML、EMNLP、NAACL、COLING等期刊和会议上。曾获CCF B类会议DASFAA'17的最佳论文亚军奖。研究团队（代码集：https://github.com/YRaoGroup）招收博士、硕士和本科生，欢迎感兴趣的同学联系（邮箱：raoyangh@mail.sysu.edu.cn）。

研究领域: 

  • 知识图谱：Topic Discovery & Topic Graph Construction & Query Answering
  • 语言模型：Word Embedding Learning & Pre-trained/Large Language Models
  • 情感分析：Aspect-based Sentiment Analysis & Social Emotion Classification

工作经历: 

  • 2014.9 - 至今，jbo竞博电竞官方网站，移动信息工程学院、数据科学与jbo竞博电竞官方网站、jbo竞博电竞官方网站

科研项目: 

  1. 国家自然科学基金面上项目 (61972426, 62372483)，负责人。
  2. 国家自然科学基金青年科学基金项目 (61502545)，负责人。
  3. 广东省自然科学基金面上项目 (2020A1515010536)，负责人。
  4. jbo竞博电竞官方网站粤港澳发展研究院年度课题，负责人。
  5. jbo竞博电竞官方网站网络与信息技术中心预研究项目，负责人。

主要学术兼职: 

  • Area Chair: ACL 2024, EMNLP 2024, NAACL 2025
  • Associate Editor: Natural Language Processing Journal
  • PC Member & Reviewer: NeurIPS 2024, ICLR 2025, ICML 2025, WWW 2024-25, KDD 2022-25, AAAI 2019-25, IJCAI 2021-24, IEEE TPAMI/TKDE

代表性论著: 

  • Y. Y. Lu (博士生), H. G. Chen (博士生), P. B. Mao (硕士生), Y. H. Rao*, H. R. Xie, F. L. Wang, Q. Li, Self-supervised topic taxonomy discovery in the box embedding space, Transactions of the Association for Computational Linguistics, 2024, 12: 1401-1416. [CCF B]

  • J. X. Yan (硕士生), Y. Y. Lu (博士生), H. G. Chen (博士生), J. X. Yu, Y. H. Rao*, Lifelong hierarchical topic modeling via nonparametric word embedding clustering, ECML-PKDD, 2024, pp. 270-287. [CCF B]

  • Y. F. Zhang, J. X. Yu*, Y. H. Rao, L. B. Zheng, Q. L. Su, H. J. Zhu, J. Yin, Domain adaptation for subjective induction questions answering on products by adversarial disentangled learning, ACL, 2024, pp. 9074-9089. [CCF A]

  • H. G. Chen (博士生), Y. Y. Lu (博士生), Z. M. Dai, Y. D. Yang, Q. Li, Y. H. Rao*, Comprehensive single-cell RNA-seq analysis using deep interpretable generative modeling guided by biological hierarchy knowledge, Briefings in Bioinformatics, 2024, 25(4): bbae314. [CCF B]

  • Z. C. Lin (硕士生), H. G. Chen (博士生), Y. Y. Lu (博士生), Y. H. Rao*, H. Xu*, H. J. Lai, Hierarchical topic modeling via contrastive learning and hyperbolic embedding, COLING, 2024, pp. 8133-8143. [Code][CCF B]

  • H. G. Chen (博士生), P. B. Mao (硕士生), Y. Y. Lu (博士生), Y. H. Rao*, Nonlinear structural equation model guided gaussian mixture hierarchical topic modeling, ACL, 2023, pp. 10377-10390. [Code][CCF A]

  • Z. R. Liang (硕士生), Y. Y. Lu (博士生), H. G. Chen (博士生), Y. H. Rao*, Graph-based relation mining for context-free out-of-vocabulary word embedding learning, ACL, 2023, pp. 14133-14149. [Code][CCF A]

  • W. Z. Guo, Q. K. Gong, Y. H. Rao, H. J. Lai*, Counterfactual multihop QA: A cause-effect approach for reducing disconnected reasoning, ACL, 2023, pp. 4214-4226. [CCF A]

  • B. Zhu (博士生), Y. H. Rao*, Exploring robust overfitting for pre-trained language models, ACL: Findings, 2023, pp. 5506-5522. [Code]

  • Z. Q. Lei (硕士生), H. Liu (硕士生), J. X. Yan (硕士生), Y. H. Rao*, Q. Li, NMTF-LTM: Towards an alignment of semantics for lifelong topic modeling, IEEE Trans. on Knowledge and Data Engineering, 2023, 35(10): 10616-10632. [Code][CCF A]

  • Y. F. Chen (硕士生), Z. Q. Lei (硕士生), Y. H. Rao*, H. R. Xie, F. L. Wang, J. Yin, Q. Li, Parallel non-negative matrix tri-factorization for text data co-clustering, IEEE Trans. on Knowledge and Data Engineering, 2023, 35(5): 5132-5146. [CCF A]

  • H. G. Chen (博士生), Y. Y. Lu (博士生), Y. D. Yang, Y. H. Rao*, A drug combination prediction framework based on graph convolutional network and heterogeneous information, IEEE/ACM Trans. on Computational Biology and Bioinformatics, 2023, 20(3): 1917-1925. [Code][CCF B]

  • Y. F. Chen (硕士生), Y. H. Rao*, S. R. Chen (硕士生), Z. Q. Lei (硕士生), H. R. Xie, Raymond Y. K. Lau, J. Yin, Semi-supervised sentiment classification and emotion distribution learning across domains. ACM Trans. on Knowledge Discovery from Data, 2023, 17(5): 74:1-74:30. [CCF B]

  • Z. S. Zhang (硕士生), Y. H. Rao*, H. J. Lai, J. H. Wang, J. Yin, TADC: A topic-aware dynamic convolutional neural network for aspect extraction, IEEE Trans. on Neural Networks and Learning Systems, 2023, 34(8): 3912-3924. [CCF B]

  • 陈姝睿 (硕士生), 梁子然 (硕士生), 饶洋辉*, 细粒度语义知识图谱增强的中文OOV词嵌入学习, 计算机科学, 2023, 50(3): 72-82.

  • Y. Y. Lu (博士生), X. Cheng, Z. R. Liang (硕士生), Y. H. Rao*, Graph-based dynamic word embeddings, IJCAI, 2022, pp. 4280-4288. [Code][CCF A]

  • L. H. Lin (硕士生), 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, 2022, 34(1): 219-235. [CCF A]

  • Z. H. Zhang (硕士生), X. W. Zhang (硕士生), Y. H. Rao*, Nonparametric forest-structured neural topic modeling, COLING, 2022, pp. 2585-2597. [Code][CCF B]

  • X. W. Zhang (硕士生), Y. H. Rao*, Q. Li, Lifelong topic modeling with knowledge-enhanced adversarial network, World Wide Web Journal, 2022, 25: 219-238. [CCF B]

  • Z. Y. Chen (硕士生), C. Ding (硕士生), Z. S. Zhang (硕士生), Y. H. Rao*, H. R. Xie, Tree-structured topic modeling with nonparametric neural variational inference, ACL, 2021, pp. 2343-2353. [Code][CCF A]

  • X. R. Qin, Y. Y. Lu (本科生), Y. F. Chen (硕士生), Y. H. Rao*, Lifelong learning of topics and domain-specific word embeddings, ACL: Findings, 2021, pp. 2294-2309. [Code]

  • Y. H. Feng (硕士生), 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, NAACL, 2021, pp. 1805-1815. [Code][CCF B]

  • J. H. Pang (本科生), 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][CCF B]

  • X. R. Qin (本科生), Y. H. Rao*, H. R. Xie, J. H. Wang, F. L. Wang, TACN: A topical adversarial capsule network for textual network embedding, Neural Networks, 2021, 144: 766-777. [This work was submitted when X. R. Qin was an undergraduate student of her final year][CCF B]

  • Z. Y. Chen (硕士生), C. Ding (硕士生), Y. H. Rao*, H. R. Xie, X. H. Tao, G. Cheng, F. L. Wang, Hierarchical neural topic modeling with manifold regularization, World Wide Web Journal, 2021, 24: 2139-2160. [CCF B]

  • J. M. Wu (本科生), Y. H. Rao*, Z. S. Zhang (硕士生), H. R. Xie, Q. Li, F. L. Wang, Z. Y. Chen (硕士生), Neural mixed counting models for dispersed topic discovery, ACL, 2020, pp. 6159-6169. [Code][CCF A]