周德宇，东南大学教授，博士生导师，长期从事自然语言处理研究，主要围绕情感分析、信息抽取、主题模型等方向，运用机器学习理论展开工作。

目前，发表论文80余篇，包括CCF-A类论文15篇，B类论文20篇。

更详细信息请访问：https://palm.seu.edu.cn/zhoudeyu/Home.html

自然语言处理

• Research assistant, University of Cambridge, England

• Ph.D., University of Reading, England

• M.Sc., Nanjing University, China

• B.Sc., Nanjing University, China

主持完成国家自然科学基金青年项目1项、面上项目1项、省部级项目3项（教育部博士点新教师基金、教育部回国留学人员基金、江苏自然科学基金面上项目），联合主持完成国家自然科学基金港澳及海外学者合作项目1项。

Selected Publications

1. Congzhi Zhang, Linhai Zhang and Deyu Zhou*. Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment. AAAI, In press, 2024. (CCF A类)

2. Yuanyuan Xu, Linhai Zhang and Deyu Zhou*. TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition. COLING, In press, 2024. (CCF B类)

3. Yanyue Zhang, Yilong Lai, Zhenglin Wang, Pengfei Li, Deyu Zhou* and Yulan He. Opinions Are Not Always Positive: Debiasing Opinion Summarization with Model-Specific and Model-Agnostic Methods. COLING, In press, 2024. (CCF B类)

4. Xiaoyu Hu, Xu Zhang, Zexu Lin and Deyu Zhou*. De-Redundancy then Rethink: Enhancing Code Summarization with a Novel Pipeline Framework. COLING, In press, 2024. (CCF B类)

5. Xin Zhang, Linhai Zhang and Deyu Zhou*. Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network. EMNLP, pp 7208–7220, 2023. (CCF B类)

6. Yingjie Zhu, Jiasheng Si, Yibo Zhao, Haiyang Zhu, Deyu Zhou* and Yulan He. EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification. EMNLP, pp 13377–13392, 2023. (CCF B类) 

7. Yuanyuan Xu, Zeng Yang, Linhai Zhang, Deyu Zhou*, Tiandeng Wu and Rong Zhou. Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition. Findings of ACL, pp 2621–2637, 2023.

8. Yanzheng Xiang, Qian-Wen Zhang, Xu Zhang, Zejie Liu, Yunbo Cao and Deyu Zhou*. G3R: A Graph-Guided Generate-and-Rerank Framework for Complex and Cross-domain Text-to-SQL Generation. Findings of ACL, pp 338–352, 2023.

9. Boyu Wang, Linhai Zhang, Deyu Zhou*, Yi Cao and Jiandong Ding. Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning. Findings of ACL, pp 9720–9731, 2023.

10. Yanyue Zhang and Deyu Zhou*. Disentangling Text Representation with Counter-Template for Unsupervised Opinion Summarization. Findings of ACL, pp 6344–6357, 2023.

11. Jiasheng Si, Yingjie Zhu and Deyu Zhou*. Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-aware Graph Learning. AAAI, pp 13573–13581, 2023. (CCF A类)

12. Zejie Liu, Xiaoyu Hu, Deyu Zhou*, Lin Li, Xu Zhang and Yanzheng Xiang. Code Generation From Flowcharts With Texts: a Benchmark Dataset and an Approach. Findings of EMNLP, pp 6069–6077, 2022.

13. Zeng Yang, Linhai Zhang and Deyu Zhou*. SEE-few: Seed, Expand and Entail for Few-shot Named Entity Recognition. COLING, pp 2540–2550, 2022. (CCF B类)

14. Linhai Zhang and Deyu Zhou*. Temporal Knowledge Graph Completion With Approximated Gaussian Process Embedding. COLING, pp 4697–4706, 2022. (CCF B类)

15. Xu Zhang, Zejie Liu, Yanzheng Xiang and Deyu Zhou*. Complicate Then Simplify: A Novel Way to Explore Pre-trained Models for Text Classification. COLING, pp 1136–1145, 2022. (CCF B类)

16. Linhai Zhang, Xuemeng Hu, Boyu Wang, Deyu Zhou*, Qian-Wen Zhang and Yunbo Cao. Pre-training and Fine-tuning Neural Topic Model: a Simple yet Effective Approach to Incorporating External Knowledge. ACL, pp 5980-5989, 2022. (CCF A类)

17. Tao Wang, Linhai Zhang, Chenchen Ye, Junxi Liu and Deyu Zhou*. A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge. Findings of ACL, pp 1407-1416, 2022.

18. Chenchen Ye, Linhai Zhang, Yulan He, Deyu Zhou* and Jie Wu. Beyond text: Incorporating Metadata and Label Structure for Multi-label Document Classification using Heterogeneous Graphs. EMNLP, pp 3162-3171, 2021. (CCF B类)

19. Deyu Zhou*, Jianan Wang, Linhai Zhang and Yulan He. Implicit Sentiment Analysis with Event-centered Text Representation. EMNLP, pp 6884-6893, 2021. (CCF B类)

20. Deyu Zhou*, Yanzheng Xiang, Linhai Zhang, Chenchen Ye, Qian-Wen Zhang and Yunbo Cao. A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering. Findings of EMNLP, pp 4798-4808, 2021.

21. Linhai Zhang, Deyu Zhou*, Chao Lin and Yulan He. A Multi-label Multi-hop Relation Detection Model Based on Relation-aware Sequence Generation. Findings of EMNLP, pp 4713-4719, 2021.

22. Jiasheng Si, Deyu Zhou*, Tongzhe Li, Xingyu Shi and Yulan He. Topic-aware Evidence Reasoning and Stance-aware Aggregation for Fact Verification. ACL, pp 1612–1622, 2021. (CCF A类)

23. Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou and Yulan He. Topic-driven and Knowledge-aware Transformer for Dialogue Emotion Detection. ACL, pp 1571–1582, 2021. (CCF A类)

24. Linhai Zhang, Deyu Zhou*, Yulan He and Zeng Yang. MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces. AAAI, pp. 14420–14427, 2021. (CCF A类)

25. Deyu Zhou*, Meng Zhang, Linhai Zhang and Yulan He. A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness. AAAI, pp. 14594–14601, 2021. (CCF A类)

26. Lixing Zhu, Yulan He and Deyu Zhou. A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings. TACL, Vol. 8, pp. 471–485, 2020. (CCF B类)

27. Rui Wang, Xuemeng Hu, Deyu Zhou*, Yulan He, Yuxuan Xiong, Chenchen Ye and Haiyang Xu. Neural Topic Modeling with Bidirectional Adversarial Training. ACL, pp 340–350, 2020. (CCF A类)

28. Lixing Zhu, Yulan He and Deyu Zhou. Neural Temporal Opinion Modelling for Opinion Prediction on Twitter. ACL, pp 3804–3810, 2020. (CCF A类)

29. Xuemeng Hu, Rui Wang, Deyu Zhou* and Yuxuan Xiong. Neural Topic Modeling with Cycle-Consistent Adversarial Training. EMNLP, pp 9018–9030, 2020. (CCF B类)

30. Deyu Zhou*, Xuemeng Hu and Rui Wang. Neural Topic Modeling by Incorporating Document Relationship Graph. EMNLP, pp 3790–3796, 2020. (CCF B类)

31. Rui Wang, Deyu Zhou* and Yulan He. Open Event Extraction from Online Text using a Generative Adversarial Network. EMNLP-IJCNLP, pp 282–291, 2019. (CCF B类)

32. Yang Yang, Deyu Zhou*, Yulan He and Meng Zhang. Interpretable Relevant Emotion Ranking with Event-Driven Attention. EMNLP-IJCNLP, pp 177–187, 2019. (CCF B类)