教师简介

---

沈颖，中山大学百人引进副教授，IEEE Senior Member，高被引学者。主要研究领域为人工智能、自然语言处理、多模态计算、大语言模型。沈颖分别于北京大学和法国-英国Erasmus Mundus项目获计算机硕士学位，2015年获法国巴黎第十大学计算机博士学位。曾获欧盟教育部优秀硕士奖、中国国家留学基金管理委员会优秀海外留学生奖、日内瓦国际发明展金奖、中国发明协会年度发明奖-人物奖、深圳市海外高层次人才称号、深圳市人工智能自然科学奖、深圳市优秀科技学术论文奖、上海市产业促进学会医学转化社会贡献奖等荣誉。近年来，于机械工业出版社出版高等院校智能工程系列教材《自然语言处理导论》。讲授的《自然语言处理》课程被评为教育部“智能基座”金课以及中山大学校级一流课程，并被纳入教育部慕课西行课程体系。在知名学术会议和期刊上发表学术论文130余篇，其中SCI期刊50篇（IF>10共13篇，10>IF>7共25篇），CCF A类会议论文29篇，CCF B类会议30篇；ESI高被引论文 4 篇、ESI热点论文 2 篇；多次获人工智能顶会最佳论文奖。已授权专利18项；授权软件著作权25项；发布团体标准1项。主持多项国际、国家、省部级研究项目，成果在多家单位中落地应用。

 

 

研究领域

---

自然语言处理、多模态计算、人机对话、生成式人工智能、大语言模型研究与开发

 

 

教育背景

---

2011.09–2015.07，法国巴黎第十大学，自然语言处理，博士

2009.09–2011.07，法国贝桑松大学-英国伍尔弗汉普顿大学，自然语言处理，硕士

2006.09–2009.07，北京大学，信息科学与工程，硕士

 

 

工作经历

---

2020.01至今，中山大学，副教授

2017.09–2020.01，北京大学深圳研究生院，研究助理教授

2015.07–2017.09，北京大学-法国巴黎第六大学，博士后

 

 

科研项目

---

1.2022欧盟科教司基础研究项目, 主持

2.2021中央军委国防科技173计划技术领域基金项目，子课题负责人

3.2022教育部科技发展中心项目，主持

4.2021教育部高教司项目，主持

5.2023深圳市腾讯计算机系统有限公司项目，主持

6.广东省粤深联合基金重点项目，基于大数据的公共卫生事件社会资源服务与预警决策技术研究，2022/10-2025/09，100万，在研，参与

 

 

主要学术兼职

---

 

IEEE/ACM Senior Member

中国计算机学会高级会员、公益大使

中国计算机学会YOCSEF广州委员

中国计算机学会数据治理发展委员会执行委员

中国计算机博物馆智慧健康组委员

AAAI/SIGIR/ACL/WWW/IJCAI等CCF A类会议领域主席、程序委员会委员

 

 

 

获奖及荣誉

---

 

中国发明协会发明奖-人物奖

日内瓦国际发明展金奖

第十一届中山大学校级本科教育教学成果奖一等奖

深圳市人工智能自然科学奖

深圳市优秀科技学术论文奖

上海市产业促进中心医学转化社会贡献奖

教育部华为“智能基座”奖教金

中山大学第十届教师教学竞赛优胜奖

深圳市海外高层次人才、南山区领航人才

欧盟教育部优秀硕士奖

中国国家留学基金管理委员会优秀海外留学生奖

 

 

 

代表性论著

---

[1]《自然语言处理导论》教科书。机械工业出版社，高等院校智能工程系列教材，64万字，2023年12月1日出版，ISBN 978-7-111-73625-7

[2]Dong Chenhe, Li Yinghui, Gong Haifan, Chen Miaoxin, Li Junxin, Shen Ying*, Yang Min*. A Survey of Natural Language Generation. ACM Computing Surveys. 2022. 55(8), 1-38. (IF:23.8)（获深圳市优秀科技学术论文奖）(高被引论文)

[3]Yang Min, Junhao Liu, Lei Chen, Zhao Zhou, Chen Xiaojun, Shen Ying*. An Advanced Deep Generative Framework for Link Prediction in Dynamic Networks. IEEE Transactions on Cybernetics. 2020, 50(12), 4946-4957. (IF:19.118)

[4]Zhao Xiaoyan, Deng Yang, Yang Min*, Wang Lingzhi, Zhang Rui, Cheng Hong, Lam Wai, Shen Ying*, Xu Ruifeng. A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers. ACM Computing Surveys. 2024. 1-37. (IF:23.8)

[5]Deng Yang, Zhang Wenxuan, Xu Weiwen, Shen Ying*, Lam Wai. Non-factoid Question Answering as Query-focused Summarization with Graph-enhanced Multi-hop Inference. IEEE Transactions on Neural Networks and Learning Systems. 2023, 1-15. (IF: 14.255) (高被引论文)

[6]Shen Ying, Yang Min, Li Yaliang, Wang Dong, Zheng Haitao, Chen Daoyuan*. Knowledge-based Reasoning Network for Relation Detection. IEEE Transactions on Neural Networks and Learning Systems. 2021. 5051 - 5063. (IF: 14.255)

[7]Yang Min, Li Chengming, Shen Ying*, Wu Qingyao*, Zhao Zhou, Chen Xiaojun. Hierarchical Human-like Deep Neural Networks for Abstractive Text Summarization. IEEE Transactions on Neural Networks and Learning Systems. 2020, 32(6): 2744-2757. (IF: 14.255)

[8]Shen Ying, Ding Ning, Zheng Hai-Tao, Li Yaliang, Yang Min*. Modeling Relation Paths for Knowledge Graph Completion. IEEE Transactions on Knowledge and Data Engineering (TKDE). 2020, 33(11): 3607-3617. (IF: 9.235) (高被引论文、热点论文)

[9]Dong Chenhe†, Shen Ying†, Lin Shiyang, Lin Zhenzhou, Deng Yang*. A Unified Framework for Contextual and Factoid Question Generation. IEEE Transactions on Knowledge and Data Engineering (TKDE). 2023. 21 - 34. (IF: 9.235)

[10]Li Yinghui, Zhang Xinwei, Zheng Hai-Tao*, Shen Ying*. Automatic Context Pattern Generation for Entity Set Expansion. IEEE Transactions on Knowledge and Data Engineering (TKDE). 2023. 1-12. (IF: 9.235)

[11]Zhang Yilin, Li Ziran, Liu Zhiyuan, Zheng Hai-Tao*, Shen Ying*, Zhou Lan. Event Detection with Dynamic Word-Trigger-Argument Graph Neural Networks. IEEE Transactions on Knowledge and Data Engineering (TKDE). 2021, 3858 - 3869. (IF: 9.235)

[12]Lei Kai, Zhang Bing, Li Yu, Yang Min, Shen Ying*. Time-driven Feature-aware Jointly Deep Reinforcement Learning for Financial Signal Representation and Algorithmic Trading. Expert Systems with Applications, 2020, 140:112872. (IF: 8.665)

[13]Shen Ying, Yuan Kaiqi, Tang Buzhou, Li Yaliang, Du Nan, Yang Min, Lei Kai. KMR: Knowledge-oriented Medicine Representation Learning for Drug-Drug Interaction and Similarity Computation. Journal of Cheminformatics, 2019, 11(1), 22. (IF: 8.489)

[14]Zha Enze, Zeng Delong, Lin Man, Shen Ying*. CEPTNER: Contrastive learning Enhanced Prototypical network for Two-stage few-shot Named Entity Recognition. Knowledge-based Systems. 2024, 295 (2024) 111730. (IF: 8.8)

[15]Zhou Ting, Shen Ying*, Chen Kang*, Cao Qing*. Hierarchical dual graph convolutional network for aspect-based sentiment analysis. Knowledge-based Systems. 2023. (276) 1-20. (IF: 8.8)

[16]Zeng Delong, Zha Enze, Kuang Jiayi, Shen Ying*. Multi-label text classification based on Semantic-sensitive Graph Convolutional Network. Knowledge-based Systems. 2023. (284) 1-19. (IF: 8.8)

[17]Li Yangning, Li Yinghui, Chen Xi, Zheng Hai-Tao*, Shen Ying*. Active relation discovery: Towards general and label-aware open relation extraction. Knowledge-based Systems. 2023. 282 (2023) 111094. (IF: 8.8)

[18]Shen Ying*, Colloc Joel, Jacquet-Andrieu Armelle, Lei Kai. Emerging Medical Informatics with Case-Based Reasoning for Aiding Clinical Decision in Multi-Agent System. Journal of Biomedical Informatics, 2015, 56: 307–317. (IF: 8.00) (高被引论文)

[19]Shen Ying, Zhang Lizhu, Zhang Jin, Yang Min, Tang Buzhou, Li Yaliang, Lei Kai. CBN: Constructing a Clinical Bayesian Network based on Data from the Electronic Medical Record. Journal of Biomedical Informatics, 2018, 88: 1–10. (IF: 8.00)

[20]Shen Ying, Yuan Kaiqiai, Chen Daoyuan, Colloc Joel, Yang Min, Li Yaliang, Lei Kai. An Ontology-driven Clinical Decision Support System (IDDAP) for Infectious Disease Diagnosis and Antibiotic Prescription. Artificial intelligence in medicine, 2018, 86, 20-32. (IF: 7.011)

[21]Ling Zhenqing, Chen Daoyuan, Liu Yi, Li Yaliang, Shen Ying*. On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. ACM KDD 2024, August 25-29, 2024, Barcelona, Spain. (CCF A会)

[22]Luo Haohao, Deng Yang, Shen Ying*, Ng See-Kiong, Chua Tat-Seng. Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), August 11–16, 2024, Bangkok, Thailand. (CCF A会)

[23]Xu Zhe, Chen Daoyuan, Kuang Jiayi, Yi Zihao, Li Yaliang, Shen Ying*. Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), July 14-18, 2024, Washington D.C., USA. (CCF A会)

[24]Li Yinghui, Xu Zishan, Chen Shaoshen, Huang Haojing, Li Yangning, Ma Shirong, Jiang Yong, Li Zhongli, Zhou Qingyu, Zheng Hai-Tao*, Shen Ying*. Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), August 11–16, 2024, Bangkok, Thailand. (CCF A会)

[25]Lin Zhenzhou, Zhao Zishuo, Xie Jingyou, Shen Ying*. Hierarchical Type Enhanced Negative Sampling for Knowledge Graph Embedding. In The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), Taipei, Taiwan, July 23, 2023, pp.2047-2051. (CCF A会)

[26]Li Yinghui, Li Yangning, He Yuxin, Yu Tianyu, Shen Ying*, Zheng Hai-Tao*. Contrastive Learning with Hard Negative Entities for Entity Set Expansion. In The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain, July 11–15, 2022, 1077-1086. (CCF A会)

[27]Feng Lingyun, Qiu Minghui, Li Yaliang, Zheng Hai-Tao*, Shen Ying*. Learning to Augment for Data-scarce Domain BERT Knowledge Distillation. In The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), Virtual Conference, February 2-9, 2021, 35(8): 7422-7430. (CCF A会)

[28]Chen Daoyuan, Li Yaliang, Lei Kai, Shen Ying*. Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. In The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Seattle, Washington, USA, 5-10 July 2020, pp.5940-5950. (CCF A会)

[29]Deng Yang, Lam Wai, Xie Yuexiang, Chen Daoyuan, Li Yaliang, Yang Min, Shen Ying*. Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. In The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, February 7-12, 2020. pp.7651-7658. (CCF A会)

[30]Xie Yuexiang†, Shen Ying†, Li Yaliang, Yang Min, Lei Kai. Attentive User-engaged Adversarial Neural Network for Community Question Answering. In The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, February 7-12, 2020. pp. 9322-9329. (CCF A会)

[31]Li Ziran, Lin Zibo, Ding Ning, Zheng Haitao*, Shen Ying*. Triple-to-Text Generation with an Anchor-to-Prototype Framework. In The 29th International Joint Conference on Artificial Intelligence (IJCAI 2020). Kanagawa, Japan, July 11–17, 2020. pp. 3780-3786. (CCF A会)

[32]Deng Yang, Zhang Wenxuan, Li Yaliang, Yang Min, Lam Wai, Shen Ying*. Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization. In The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China, July 25–30, 2020. pp. 1693-1696. (CCF A会)

[33]Yang Min, Zhou Wei, Wu Qingyao, Shen Ying*, Chen Xiaojun, Chen Lei. Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning. In The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019). Macao, China, August 10-16, 2019. pp. 5349-5355. (CCF A会)

[34]Deng Yang, Xie Yuexiang, Li Yaliang, Yang Min, Du Nan, Fan Wei, Lei Kai, Shen Ying*. Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. In The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019). Honolulu, Hawaii, USA, January 27 – February 1, 2019. 33, pp. 6318-6325. ACM. (CCF A会)

[35]Chen Daoyuan, Zheng Haitao, Yang Min, Li Yaliang, Shen Ying*. Answer-enhanced Path-aware Relation Detection over Knowledge Base. In The 42nd International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR 2019). SIGIR: Paris, France, July 21-25, 2019. pp. 1021-1024. ACM. (CCF A会)

[36]Shen Ying, Deng Yang, Yang Min, Li Yaliang, Du Nan, Fan Wei, Lei Kai. Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR 2018). SIGIR: Ann Arbor, Michigan, USA, July 8-12, 2018. pp. 901-904. ACM. (CCF A会)

[37]Shen Ying, Chen Daoyuan, Yang Min, Li Yaliang, Du Nan, Lei Kai. Ontology Evaluation with Path-based Text-aware Entropy Computation. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR 2018). SIGIR: Ann Arbor, Michigan, USA, July 8-12, 2018. pp. 881-884. ACM. (CCF A会)

[38]Dong Chenhe, Li Yaliang, Shen Ying*, Qiu Minghui. HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. In The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021). Punta Cana, Dominican Republic, Nov 7 – 11, 2021, pp. 3126-3136. (CCF A会)

[39]Ye Jingheng, Li Yinghui, Zhou Qingyu, Li Yangning, Ma Shirong, Zheng Hai-Tao*, Shen Ying*. CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction. In The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). Singapore. Dec 6 – 10, 2023. pp.6174–6189. (CCF A会)

[40]Dong Chenhe, Xie Yuexiang, Ding Bolin, Shen Ying*, Li Yaliang. Tunable Soft Prompts are Messengers in Federated Learning. In The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). Singapore. Dec 6 – 10, 2023. pp.14665–14675. (CCF A会)