基本信息

个人简介

吴欣，现任华南理工大学软件学院助理教授，主要从事自然语言处理、大模型等领域研究，围绕逻辑增强的语义建模与内容生成展开深入探索：（1）提出了结构感知生成模型SLEtoNL，通过引入树图结构编码机制，显著提升逻辑表达式到自然语言的语义映射准确率（IEEE TASLP）；（2）提出了逻辑控制框架LCF，结合对比学习实现生成内容逻辑有效性的显式控制（AAAI 2025）；（3）设计了抽象层推理模型ADR，有效增强生成模型的稳定性（COLING 2024）；（4）构建了符号推理与大模型协同机制，实现对时间敏感知识的逻辑一致性生成（EMNLP 2024）。近五年在AAAI、ACL、EMNLP、IEEE TASLP等国际会议与期刊发表国际论文20余篇，获授权发明专利3项、曾获CCF推荐会议 APWeb-WAIM 2021 最佳论文RUNNER-UP、中国高校计算机大赛大数据挑战赛、CCF BDCI等多个国家级技术评测二等奖。作为核心成员参与了WPS幻灯片智能美化等功能，覆盖用户超3800万，创造经济效益约33.43亿元。作为核心成员参与华为“难题揭榜”，项目获“火花奖”。

学历

2014.09-2018.06 华南理工大学，软件工程，学士

2018.09-2021.06 华南理工大学，软件工程，硕士

2021.09-2025.06 华南理工大学，软件工程，博士

教学经历

主讲《计算机与软件工程概论》、《计算机网络》和《信息系统安全》等课程。

工作经历

2025.12-至今 华南理工大学，助理教授

社会兼职

中国中文信息学会社会媒体处理专业委员会委员

担任CCF B类推荐会议 DASFAA 2025 分会场主席（Session Chair）

IEEE TASLP、ACL、EMNLP、ACM MM、NLPCC 审稿人

研究方向

自然语言处理，大模型逻辑增强，快慢思考推理，知识编辑

科研项目

先后主持过电信，移动，电力，政府，学校，企业等行业或单位研发过系统，如气象部门的精细化预报、广东省气象台数值预报解释应用、QPE和QPF评分系统及融合预报技术、热带气旋风场模型构造与GIFT涡旋主客观融合和广东省气象台强对流天气临近预报系统等，有相当丰富的大型系统的需求、设计和开发经验。

获奖情况

1. 2025年华南理工大学优秀研究生毕业生代表（1/1）

2. 2025年华南理工大学“学术达人”

3. 2024年博士生国家奖学金、校长奖学金

4. 2024年全国大学生软件创新大赛华南区域赛二等奖

5. 2023年广东省人工智能产业协会科学技术奖-科技进步二等奖

6. 2021年APWeb-WAIM 2021 最佳论文RUNNER-UP

7. 2020年硕士生国家奖学金

8. 2017年中国高校计算机大赛大数据挑战赛亚军

9. 2016年CCF大数据与计算智能大赛（BDCI）二等奖

科研项目

国家重点研发计划课题，面向疫情防控和复工复产的标准知识图谱智能服务平台研发和应用，参与，2020-2021

广东省重点研发计划项目，面向金融智能服务风控的技术研究，参与，2020-2024

国家工信部产业技术基础公共服务平台课题项目；面向人工智能领域的公共服务平台建设，参与，2020-2022

国家自然科学基金面上项目，面向小样本数据的知识图谱构建关键技术研究，参与，2020-2024

国家自然科学基金面上项目，面向小样本数据的知识图谱构建关键技术研究，参与，2025-2028

华南理工大学-金山办公联合实验室，参与

华南理工大学-金山办公联合实验室，参与

发表文章

1. Wu, Xin, Yuqi Bu, Yi Cai, Yifei Chen, and Ho-Fung Leung. Type-agnostic and form-oriented deductive conclusion generation. Neural Networks (2025): 107968.

2. Bu, Yuqi, Xin Wu, Zirui Zhao, Yi Cai, David Hsu, and Qiong Liu. Walk in Others’ Shoes with a Single Glance: Human-Centric Visual Grounding with Top-View Perspective Transformation. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 26904-26923. 2025.

3. Guo, Sile, Hongfei Liu, Xin Wu, and Yi Cai. Retrieval-Augmented Classification for Financial User Profiling: A Lightweight Approach. In 2025 IEEE 41st International Conference on Data Engineering Workshops (ICDEW), pp. 259-265. IEEE, 2025.

4. Gong, Songwen, Hongfei Liu, Xin Wu, and Yi Cai. RBRTI: Retrieval-Based Risk Type Identification from Financial News. In 2025 IEEE 41st International Conference on Data Engineering Workshops (ICDEW), pp. 246-252. IEEE, 2025.

5. Huang, Hailin, Hongfei Liu, Xin Wu, and Yi Cai. Risk-Aware Automatic Text Summarization with Pre-Identification of Risk Categories and Emphasis. In 2025 IEEE 41st International Conference on Data Engineering Workshops (ICDEW), pp. 239-245. IEEE, 2025.

6. Wu, Xin, Yuqi Bu, Yifei Chen, and Yi Cai. Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic Representation. In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 24, pp. 25507-25515. 2025.

7. Bu, Yuqi, Xin Wu, Yi Cai, Qiong Liu, Tao Wang, and Qingbao Huang. Error-Aware Generative Reasoning for Zero-Shot Visual Grounding. IEEE Transactions on Multimedia (2025).

8. Wu, Xin, Yuqi Bu, Yi Cai, and Tao Wang. Updating Large Language Models’ Memories with Time Constraints. In Findings of the Association for Computational Linguistics: EMNLP 2024, pp. 13693-13702. 2024.

9. Song, Junyue, Xin Wu, and Yi Cai. Step feasibility-aware and error-correctable entailment tree generation. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 15296-15308. 2024.

10. Wu, Xin, Yi Cai, and Ho-fung Leung. level Deductive Reasoning for Pre-trained Language Models. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 70-76. 2024.

11. Li, Linjian, Yi Cai, and Xin Wu. Unsupervised Disentanglement Learning Model for Exemplar-Guided Paraphrase Generation. IEEE/ACM Transactions on Audio, Speech, and Language Processing 32 (2024): 1885-1900.

12. Lu, Jianwei, Guohua Wang, Yi Cai, and Xin Wu. Towards Automated Infographic Authoring From Natural Language Statement With Multiple Proportional Facts. IEEE Transactions on Multimedia 26 (2024): 7101-7113.

13. Zhang, Jingwei, Xin Wu, and Yi Cai. CLEVR-Implicit: A Diagnostic Dataset for Implicit Reasoning in Referring Expression Comprehension. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp. 12820-12830. 2023.

14. Deng, Yaoming, Qiqi Ding, Xin Wu, and Yi Cai. Curiosity Enhanced Bayesian Personalized Ranking for Recommender Systems. In International Conference on Neural Information Processing, pp. 312-324. Singapore: Springer Nature Singapore, 2023.

15. Bu, Yuqi, Xin Wu, Liuwu Li, Yi Cai, Qiong Liu, and Qingbao Huang. Segment-level and category-oriented network for knowledge-based referring expression comprehension. In Findings of the Association for Computational Linguistics: ACL 2023, pp. 8745-8757. 2023.

16. Wu, Xin, Yi Cai, Zetao Lian, Ho-fung Leung, and Tao Wang. Generating natural language from logic expressions with structural representation. IEEE/ACM Transactions on Audio, Speech, and Language Processing 31 (2023): 1499-1510.

17. Ren, Haopeng, Zeting Li, Yi Cai, Xingwei Tan, and Xin Wu. Learning refined features for open-world text classification with class description and commonsense knowledge. World Wide Web 26, no. 2 (2023): 637-660.

18. Lin, Jie, Yi Cai, Xin Wu, and Jianwei Lu. Graph-based information block detection in infographic with gestalt organization principles. IEEE Transactions on Visualization and Computer Graphics 29, no. 3 (2021): 1705-1718.

19. Li, Zeting, Yi Cai, Xingwei Tan, Guoqiang Han, Haopeng Ren, Xin Wu, and Wen Li. Learning refined features for open-world text classification. In Asia-Pacific Web (APWeb) and Web-Age information management (WAIM) Joint international conference on Web and Big Data, pp. 367-381. Cham: Springer International Publishing, 2021.

20. Ren, Haopeng, Yi Cai, Mingying Zhang, Wenjian Hao, and Xin Wu. Standard-Oriented Standard Knowledge Graph Construction and Applications System. In Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, pp. 452-457. Cham: Springer International Publishing, 2021.

21. Kong, Junsheng, Zhicheng Zhong, Yi Cai, Xin Wu, and Da Ren. Tsdg: Content-aware neural response generation with two-stage decoding process. In Findings of the Association for Computational Linguistics: EMNLP 2020, pp. 2121-2126. 2020.

22. Wu, Xin, Yi Cai, Yang Kai, Tao Wang, and Qing Li. Task-oriented domain-specific meta-embedding for text classification. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 3508-3513. 2020.

23. Xu, Jingyun, Yi Cai, Xin Wu, Xue Lei, Qingbao Huang, Ho-fung Leung, and Qing Li. Incorporating context-relevant concepts into convolutional neural networks for short text classification. Neurocomputing 386 (2020): 42-53.

24. Wu, Xin, Yi Cai, Qing Li, Jingyun Xu, and Ho-fung Leung. Combining weighted category-aware contextual information in convolutional neural networks for text classification. World Wide Web 23, no. 5 (2020): 2815-2834.

25. Wu, Xin, Yi Cai, Qing Li, Jingyun Xu, and Ho-fung Leung. Combining contextual information by self-attention mechanism in convolutional neural networks for text classification. In International Conference on Web Information Systems Engineering, pp. 453-467. Cham: Springer International Publishing, 2018.