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；专著：https://link.springer.com/book/10.1007/978-981-96-8853-1）招收博士、硕士和本科生，欢迎感兴趣的同学联系。

研究领域: 

  • 语言模型、知识图谱、主题建模、文本生成、情感分析

工作经历: 

  • 2014.9 - 至今，中山大学，移动信息工程学院、数据科学与js4399金沙线、js4399金沙线

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. 中山大学粤港澳发展研究院年度课题，负责人。
  5. 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: 

  • Associate Editor: Natural Language Processing Journal
  • Editorial Board: Information Processing & Management
  • Area Chair: ARR 2026, NAACL 2025, ACL & EMNLP 2024
  • PC Member & Reviewer: ICLR 2025-26, ICML 2025-26, KDD 2022-26, WWW 2024-25, AAAI 2019-25, IJCAI 2021-24, IEEE TPAMI & TKDE

代表性论著: 

期刊论文：

  • Bin Zhu (博士生), Yi Xie (硕士生), Yanxia Feng (硕士生), Fu Lee Wang, Haoran Xie, Yanghui Rao*, Causal adversarial training for improving language understanding and robustness, Computational Linguistics, 2026, accepted. [CCF B]
  • Jianxing Yu, Haowei Jiang, Huaijie Zhu, Wenqing Chen, Yanghui Rao, Qinliang Su, Jian Yin*, Accelerated optimization of large mixture-of-experts models by density-aware multi-stage learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026, 48(5): 5505-5519. [CCF A]
  • Yuyin Lu (博士生), Hegang Chen (博士生), Yanghui Rao*, Jianxing Yu, Wen Hua, Qing Li, An efficient fuzzy system for complex query answering on knowledge graphs, IEEE Transactions on Knowledge and Data Engineering, 2025, 37(9): 4962-4976. [CCF A]
  • 余建兴, 王世祺, 陈祺, 赖韩江, 饶洋辉, 苏勤亮, 印鉴*, 基于常识推理问答的多模态题文不符检测, 软件学报, 2025, 36(12): 5720-5738. [CCF A]
  • Ruihao Chen (硕士生), Hegang Chen (博士生), Yuyin Lu (博士生), Yanghui Rao*, Chunjiang Zhu*, Supervised neural topic modeling with label alignment, Transactions of the Association for Computational Linguistics, 2025, 13: 249-263. [CCF B; Presented at ACL 2025]
  • Yuyin Lu (博士生), Hegang Chen (博士生), Pengbo Mao(硕士生), Yanghui Rao*, Haoran Xie, Fu Lee Wang, Qing Li, Self-supervised topic taxonomy discovery in the box embedding space, Transactions of the Association for Computational Linguistics, 2024, 12: 1401-1416. [CCF B; Presented at EMNLP 2024]
  • Hegang Chen (博士生), Yuyin Lu (博士生), Yanghui Rao*, A self-training interpretable cell type annotation framework using specific marker gene, Bioinformatics, 2024, 40(10): btae569. [CCF B]
  • Hegang Chen (博士生), Yuyin Lu (博士生), Zhiming Dai, Yuedong Yang, Qing Li, Yanghui 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]
  • Zhiqi Lei (硕士生), Hai Liu (硕士生), Jiaxing Yan (硕士生), Yanghui Rao*, Qing Li, NMTF-LTM: Towards an alignment of semantics for lifelong topic modeling, IEEE Transactions on Knowledge and Data Engineering, 2023, 35(10): 10616-10632. [CCF A]
  • Yufu Chen (硕士生), Zhiqi Lei (硕士生), Yanghui Rao*, Haoran Xie, Fu Lee Wang, Jian Yin, Qing Li, Parallel non-negative matrix tri-factorization for text data co-clustering, IEEE Transactions on Knowledge and Data Engineering, 2023, 35(5): 5132-5146. [CCF A]
  • Hegang Chen (博士生), Yuyin Lu (博士生), Yuedong Yang, Yanghui Rao*, A drug combination prediction framework based on graph convolutional network and heterogeneous information, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023, 20(3): 1917-1925. [CCF B]
  • Yufu Chen (硕士生), Yanghui Rao*, Shurui Chen (硕士生), Zhiqi Lei (硕士生), Haoran Xie, Raymond Y. K. Lau, Jian Yin, Semi-supervised sentiment classification and emotion distribution learning across domains. ACM Transactions on Knowledge Discovery from Data, 2023, 17(5): 74:1-74:30. [CCF B]
  • Zusheng Zhang (硕士生), Yanghui Rao*, Hanjiang Lai, Jiahai Wang, Jian Yin, TADC: A topic-aware dynamic convolutional neural network for aspect extraction, IEEE Transactions 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. [CCF B]
  • Lihui Lin (硕士生), Yanghui Rao*, Haoran Xie, Raymond Y. K. Lau, Jian Yin, Fu Lee Wang, Qing Li, Copula guided parallel gibbs sampling for nonparametric and coherent topic discovery, IEEE Transactions on Knowledge and Data Engineering, 2022, 34(1): 219-235. [CCF A]

会议论文：

  • Yuyin Lu (博士生), Ziran Liang, Yanghui Rao*, Wenqi Fan, Fu Lee Wang, Qing Li, Double-calibration: Towards trustworthy LLMs via calibrating knowledge and reasoning confidence, IJCAI, 2026, accepted. [CCF A (upon submission); Oral]
  • Fanjin Zhang, Yunhe Pang (博士生), Bo Chen, Zhiyu Shen (硕士生), Yanghui Rao*, Evgeny Kharlamov, Jie Tang*, Cross-source reasoning-based correction for author name disambiguation, KDD, 2026, accepted. [This work was done when Yunhe Pang interned at Zhipu AI] [CCF A; Oral]
  • Zhiyu Shen (硕士生), Jiyuan Liu (硕士生), Yunhe Pang (博士生), Yanghui Rao*, Fu Lee Wang, Jianxing Yu, HopWeaver: Cross-document synthesis of high-quality and authentic multi-hop questions, ACL, 2026. [CCF A; Oral]
  • Zhiyu Shen (硕士生), Ziming Wu*, Fuming Lai, Shaobing Lian, Yanghui Rao, MemBuilder: Reinforcing LLMs for long-term memory construction via attributed dense rewards, ACL, 2026. [This work was done when Zhiyu Shen interned at Tencent] [CCF A]
  • Zhiyu Shen (硕士生), Yunhe Pang (博士生), Yanghui Rao*, Jianxing Yu, CoE: A clue of emotion framework for emotion recognition in conversations, ACL, 2025. [CCF A]
  • Yunhe Pang (博士生), Bo Chen, Fanjin Zhang*, Yanghui Rao, Evgeny Kharlamov, Jie Tang*, GuARD: Effective anomaly detection through a text-rich and graph-informed language model, KDD, 2025. [This work was done when Yunhe Pang interned at Zhipu AI][CCF A; Oral]
  • Detian Zhang, Chengqiang Zhang, Yanghui Rao, Qing Li, Chunjiang Zhu*, Improved expressivity of hypergraph neural networks through high-dimensional generalized weisfeiler-leman algorithms, ICML, 2025. [CCF A]
  • Fan Li, Jianxing Yu*, Jielong Tang, Wenqing Chen, Hanjiang Lai, Yanghui Rao, Jian Yin, Answering complex geographic questions by adaptive reasoning with visual context and external commonsense knowledge, ACL, 2025. [CCF A]
  • Xingyu Liu (硕士生), Yuyin Lu (博士生), Yanghui Rao*, Leveraging open path from pruned graph for link prediction on knowledge graphs, ISWC, 2025. [CCF B; Oral]
  • Jiyuan Liu (硕士生), Jiaxing Yan (硕士生), Chunjiang Zhu, Xingyu Liu (硕士生), Qing Li, Yanghui Rao*, Neural topic modeling via contextual and graph information fusion, EMNLP, 2025. [CCF B]
  • Jiyuan Liu (硕士生), Jielin Song (硕士生), Yunhe Pang (博士生), Zhiyu Shen (硕士生), Yanghui Rao*, CARE: A disagreement detection framework with concept alignment and reasoning enhancement, EMNLP, 2025. [CCF B]
  • Yufeng Zhang, Jianxing Yu*, Yanghui Rao, Libin Zheng, Qinliang Su, Huaijie Zhu, Jian Yin, Domain adaptation for subjective induction questions answering on products by adversarial disentangled learning, ACL, 2024. [CCF A]
  • Jiaxing Yan (硕士生), Yuyin Lu (博士生), Hegang Chen (博士生), Jianxing Yu, Yanghui Rao*, Lifelong hierarchical topic modeling via nonparametric word embedding clustering, ECML, 2024. [CCF B; Oral]
  • Zhicheng Lin (硕士生), Hegang Chen (博士生), Yuyin Lu (博士生), Yanghui Rao*, Hao Xu*, Hanjiang Lai, Hierarchical topic modeling via contrastive learning and hyperbolic embedding, COLING, 2024. [CCF B]
  • Jiyuan Liu (硕士生), Hegang Chen (博士生), Chunjiang Zhu, Yanghui Rao*, Unsupervised hierarchical topic modeling via anchor word clustering and path guidance, EMNLP: Findings, 2024. [Findings, CCF B]
  • Ziran Liang (硕士生), Yuyin Lu (博士生), Hegang Chen (博士生), Yanghui Rao*, Graph-based relation mining for context-free out-of-vocabulary word embedding learning, ACL, 2023. [CCF A; Oral]
  • Hegang Chen (博士生), Pengbo Mao (硕士生), Yuyin Lu (博士生), Yanghui Rao*, Nonlinear structural equation model guided gaussian mixture hierarchical topic modeling, ACL, 2023. [CCF A]
  • Wangzhen Guo, Qinkang Gong, Yanghui Rao, Hanjiang Lai*, Counterfactual multihop QA: A cause-effect approach for reducing disconnected reasoning, ACL, 2023. [CCF A]
  • Bin Zhu (博士生), Yanghui Rao*, Exploring robust overfitting for pre-trained language models, ACL: Findings, 2023. [Findings, CCF A]
  • Yuyin Lu (博士生), Xin Cheng, Ziran Liang (硕士生), Yanghui Rao*, Graph-based dynamic word embeddings, IJCAI, 2022. [CCF A; Oral]