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关于我们

中山大学知识工程实验室由沈颖老师创立于2020年。 沈颖，中山大学副教授，博士生导师，广东省消防科学与智能应急技术重点实验室副主任。高被引学者，多次入选“全球前2%科学家榜单”。主要从事智能应急、人工智能、大语言模型等理论和应用研究工作。出版教科书1部、发表学术论文160余篇。已授权专利18项，授权软件著作权17项；发布团体标准1项。主持20余项国际、国家、省部级研究项目，获广东省科学技术奖二等奖、广东省土木建筑学会科学技术奖一等奖、广东省安全生产协会应急与安全科技进步奖特等奖等荣誉。

实验室科研队伍由4名博士生、8名硕士生、5名本科生组成（25年9月）。全员长期从事大语言模型、自然语言处理相关研究工作。应急大模型神机的研发上线表明团队成员贯通了解大模型全链路的各个环节，熟知大模型的理论知识，掌握了相关的研究技能。全员有项目驻场经验，有工科人“遇到问题解决问题”的气魄。团队相关成果已刊登在KDD、NeurIPS、ICML、ICLR会议或期刊，并开源30多项研究工作代码和7个数据集。成果在多家单位中落地应用。

中山大学知识工程实验室是一个充满活力的团队，渴望与国内和国际的同行展开交流与合作。我们将以求真务实的作风、百折不挠的精神，在团结互助的环境中，在自然语言处理领域走出一条创新之路。

联系我们

地址：深圳市光明区公常路66号中山大学工学园2-225

电子邮箱：[email protected]

邮编：518033

About Us

The Knowledge Engineering Laboratory at Sun Yat-sen University is a laboratory built by the School of Intelligent Engineering of Sun Yat-sen University in response to the development needs of artificial intelligence and computer network disciplines. It specializes in research areas such as large-scale knowledge graph construction and application technology, natural language understanding and generation, information extraction, knowledge computing, information retrieval, data mining, and intelligent question answering systems. The laboratory has established an efficient research and development environment. From theory to practice, it has deeply mastered the basic principles and some key technical issues in the fields of network mining, semantic Web and distributed computing, and has accumulated extensive experience in system development. We have fostered extensive and in-depth collaborations in the field of semantic Web, and some research results have been recognized by domestic and foreign counterparts.

The laboratory is headed by Associate Professor Shen Ying. The laboratory members include more than 10 graduate students pursuing their doctoral and master's degrees. The research team maintains a stable composition and a reasonable academic hierarchy. The research group has been deeply involved in the theoretical and application research work in the field of artificial intelligence and knowledge graph for a long time. It has a solid research foundation in the field of intelligent computing and knowledge engineering. The group has consistently been undertaking research projects related to knowledge computing and reasoning, as well as multi-modal learning.

In recent years, the project team has published more than 100 related articles in internationally renowned top SCI journals such as IEEE TOC, TKDE, TNNLS, TIP, TAC, and in top international conferences such as AAAI, IJCAI, ACL, EMNLP, and ICLR. Additionally, team members have been invited to deliver keynote speechs and dozens of branch reports at flagship artificial intelligence conferences such as ACL, AAAI, IJCAI, and SIGIR. The team has achieved multiple champions in artificial intelligence international competitions, and the Best Paper Award in the top computer conference COLING. They have been authorized 7 patents, obtained over 20 software copyrights, and made multiple research codes and 3 datasets publicly available.

The Knowledge Engineering Laboratory of Sun Yat-sen University is a dynamic team, eager to communicate and cooperate with domestic and international counterparts. With a realistic and pragmatic style and an indomitable spirit, we will embark on an innovative path in the field of natural language processing in an environment of solidarity and mutual assistance.

Contact Us

Address: Room 2-225, Engineering Park, Sun Yat-sen University, No. 66 Gongchang Road, Guangming District, Shenzhen, China.

Email: [email protected]

Zip Code: 518033

教科书

《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

期刊

  1. 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. [pdf] (通讯作者，SCI JCR一区，中科院一区, IF:19.118)

  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. [pdf] (通讯作者，SCI JCR一区，中科院一区, IF:23.8)(获2022 深圳市优秀科技学术论文奖)(高被引论文)

  3. Kuang Jiayi, Xie Jingyou, Shen Ying*, Luo Haohao, Xu Zhe, Li Ronghao, Cheng Xianfeng, Li Yinghui, Lin Xika, Han Yu. Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey. ACM Computing Surveys. 2024. 1-35. (通讯作者，SCI JCR一区，中科院一区, 录用年IF:23.8)

  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. [pdf] (通讯作者，SCI JCR一区，中科院一区, 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. [pdf] (通讯作者，SCI JCR一区，中科院一区, 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. 1-13. [pdf] (第一作者，SCI JCR一区，中科院一区, 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. [pdf] (第一通讯，SCI JCR一区，中科院一区, 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. [pdf] (第一作者，SCI JCR一区，中科院二区, 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. 1-14. [pdf] (共一作者，SCI JCR一区，中科院二区, 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. [pdf] (共同通讯，SCI JCR一区，中科院二区, 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). 2021,1-12. [pdf] (共同通讯，SCI JCR一区，中科院二区, 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. [pdf] (通讯作者, SCI JCR一区，中科院二区、小类一区, 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. [pdf] (第一作者，SCI JCR一区，中科院二区、小类一区, 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. [pdf] (通讯作者，SCI JCR一区，中科院二区, 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. [pdf] (共同通讯，SCI JCR一区，中科院二区, 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. [pdf] (通讯作者，SCI JCR一区，中科院二区, 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. [pdf] (共同通讯，SCI JCR一区，中科院二区, 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. [pdf] (第一作者，SCI JCR二区，中科院三区, 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. [pdf] (第一作者，SCI JCR二区，中科院三区, 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. [pdf] (第一作者，SCI JCR一区，中科院三区, IF: 7.011)

  21. Deng Yang, Xie Yuexiang, Li Yaliang, Yang Min, Lam Wai, Shen Ying*. Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. ACM Transactions on Information Systems. 2021, 40(1): 1-33. [pdf] (通讯作者，SCI JCR一区，中科院二区, IF: 4.797)

  22. Yuan Kaiqi, Zhang Yilin, Yaliang Li, Zheng Haitao, Shen Ying*. A Knowledge-Enhanced Multi-View Framework for Drug-Target Interaction Prediction. IEEE Transaction on Big Data. 2021, 1-13. [pdf] (通讯作者，SCI JCR一区，IF: 4.271)

  23. Li Ronghao, Shen Ying*. YOLOSR-IST: A Deep Learning Method for Small Target Detection in Infrared Remote Sensing Images based on Super-Resolution and YOLO. Signal Processing. 2023: 108962. [pdf] (通讯作者，SCI JCR一区，IF: 4.729)

  24. Shen Ying, Li Huizhi, Zheng Jingwei, Wang Wenmin, Li Dagang*. ANGraph: Attribute-Interactive Neighborhood-Aggregative Graph Representation Learning. Neural Computing and Applications, 2022: 1-13. [pdf] (第一作者，SCI JCR一区，中科院二区, IF: 5.102)

  25. Shen Ying, Li Dagang, Du Nan. Modeling Path Information for Knowledge Graph Completion. Neural Computing and Applications, 2022, 34(3): 1951-1961. [pdf] (第一作者，SCI JCR一区，中科院二区, IF: 5.102)

  26. Lei Kai, Zhang Jin, Xie Yuexiang, Wen Desi, Chen Daoyuan, Yang Min, Shen Ying*. Path-based Reasoning with Constrained Type Attention for Knowledge Graph Completion. Neural Computing and Applications, 2020, 32(11): 6957-6966. [pdf] (通讯作者，SCI JCR一区，中科院二区, IF: 5.102)

  27. Lei Kai, Xie Yuexiang, Zhong Shangru, Daijing Chao, Yang Min, Shen Ying*. Generative Adversarial Fusion Network for Class Imbalance Credit Scoring, Neural Computing and Applications, 2020, 32(12): 8451-8462. [pdf] (通讯作者，SCI JCR一区，中科院二区, IF: 5.102)

  28. Shen Ying, Yuan Kaiqi, Dai Jinchao, Tang Buzhou, Yang Min, Lei Kai. KGDDS: A System for Drug-Drug Similarity Measure in Therapeutic Substitution based on Knowledge Graph Curation. Journal of Medical Systems, 2019, 43(4), 92. [pdf] (第一作者，SCI JCR二区，中科院三区, IF: 4.920)

  29. Shen Ying, Li Yaliang, Zheng Haitao, Tang Buzhou, Yang Min. Enhancing Ontology-Driven Diagnostic Reasoning with a Symptom-Dependency-Aware Naïve Bayes Classifier. BMC Bioinformatics. (2019) 20:330. [pdf] (第一作者，SCI JCR一区，中科院二分区, IF: 4.341)

  30. Li Shujie., Yuan Guanghu, Yang Min, Shen Ying*, Li Chengming, Xu Ruifeng, Zhao Xiaoyan. Improving Semi-Supervised Text Classification with Dual Meta-Learning. ACM Transactions on Information Systems, 2024, 42(4), 1-28. (SCI JCR一区，中科院二区, IF: 5.6)

会议

  1. Zeng Delong, Shen Ying*, Lin Man, Yi Zihao, Ouyang Jiarui. Zero-shot Image Captioning with Multi-type Entity Representations. In The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), February 25 – March 4, 2025, Pennsylvania, USA. (通讯作者，中国计算机学会推荐A类顶级会议)

  2. Li Yinghui, Kuang Jiayi, Huang Haojing, Xu Zhikun, Liang Xinnian, Yu Yi, Lu Wenlian, Tan Xiaoyu, Shen Ying*, Zheng Hai-Tao*, Philip.S Yu. Refine knowledge of Large Language Models via Adaptive Contrastive learning. In the International Conference on Learning Representations (ICLR 2025). Apr 24 –28, 2025. Singapore. (共同通讯，人工智能旗舰会议)

  3. 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. [pdf] (通讯作者，中国计算机学会推荐A类顶级会议)

  4. 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. (通讯作者，中国计算机学会推荐A类顶级会议)

  5. 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. [pdf] (通讯作者，中国计算机学会推荐A类顶级会议)

  6. 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. [pdf] (共同通讯，中国计算机学会推荐A类顶级会议)

  7. 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. [pdf] (通讯作者，中国计算机学会推荐A类顶级会议)

  8. 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. [pdf] (第一通讯，中国计算机学会推荐A类顶级会议长文)

  9. 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. [pdf] (第一通讯，中国计算机学会推荐A类顶级会议长文)

  10. 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. [pdf] (通讯作者，CCF A类会议长文)

  11. 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. [pdf] (通讯作者，CCF A类会议长文)

  12. 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. [pdf] (共同一作，CCF A类会议长文)

  13. 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. [pdf] (通讯作者，CCF A类会议长文)

  14. 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. [pdf] (通讯作者，CCF A类会议长文)

  15. 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. [pdf] (通讯作者，CCF A类会议长文)

  16. 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. [pdf] (通讯作者，CCF A类会议长文)

  17. 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. [pdf] (通讯作者，CCF A类会议)

  18. 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. [pdf] (第一作者，CCF A类会议)

  19. 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. [pdf] (第一作者，CCF A类会议)

  20. 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. [pdf] (通讯作者，CCF A类会议正会长文)

  21. 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. [pdf] (通讯作者，CCF A类会议正会长文)

  22. 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. [pdf] (通讯作者，CCF A类会议Finding长文)

  23. Luo Haohao, Shen Ying, Deng Yang*. Unifying Text, Tables, and Images for Multimodal Question Answering. In The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). Singapore. Dec 6 – 10, 2023. [pdf] (CCF A类会议Finding长文)

  24. Li Yinghui, Kuang Jiayi, Huang Haojing, Xu Zhikun, Liang Xinnian, Yu Yi, Lu Wenlian, Tan Xiaoyu, Shen Ying*, Zheng Hai-Tao*, Philip.S Yu. Refine knowledge of Large Language Models via Adaptive Contrastive learning. In the International Conference on Learning Representations (ICLR 2025). Apr 24 –28, 2025. Singapore. (共同通讯，人工智能旗舰会议)

  25. Ling Zhenqing, Xie Yuexiang, Dong Chenhe*, Shen Ying*. Enhancing Factual Consistency in Text Summarization via Counterfactual Debiasing. In The 31st International Conference on Computational Linguistics (COLING 2025), January 19-24, 2025, Abu Dhabi, UAE. (共同通讯，中国计算机学会推荐B类会议)

  26. Liu Mengsha, Chen Daoyuan, Li Yaliang, Fang Guian, Shen Ying*. ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. In The 32nd International Conference on Computational Linguistics (COLING 2024). Torino, Italy. May 20-25, 2024. [pdf] (通讯作者，CCF B类会议长文)

  27. Zhou Ting, Shen Ying*, Li Yinghui. GCNet: Global-and-Context Collaborative Learning for Aspect-Based Sentiment Analysis. In The 32nd International Conference on Computational Linguistics (COLING 2024). Torino, Italy. May 20-25, 2024. pp.15076–15086. (通讯作者，CCF B类会议长文)

  28. Zhao Zishuo, Ma Ziyang, Lin Zhenzhou, Xie Jingyou, Li Yinghui*, Shen Ying*. Source-free Domain Adaptation for Aspect-based Sentiment Analysis. In The 32nd International Conference on Computational Linguistics (COLING 2024). Torino, Italy. May 20-25, 2024. [pdf] (通讯作者，CCF B类会议长文)

  29. Yi Zihao, Xu Zhe, Shen Ying*. Intent-driven In-context Learning for Few-shot Dialogue State Tracking. 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025). Hyderabad, India. Apr 6 – 11, 2025. (通讯作者，CCF B类会议)

  30. Zishuo Zhao, Yuexiang Xie, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Shen Ying*. Source-free Unsupervised Domain Adaptation For Question Answer. In The 48th international Conference on Acoustics, Speech, & Signal Processing (ICASSP 2023). June 4-10. Greece. 2023. [pdf] (通讯作者，CCF B类会议)

  31. Xie Jingyou, Zhao Zishuo, Lin Zhenzhou, Shen Ying*. Multimodal Graph Learning for Cross-Modal Retrieval. In The SIAM International Conference on Data Mining (SDM 2022). Minneapolis, Minnesota, U.S. April 28 - 30, 2022. [pdf] (通讯作者，CCF B类会议)

  32. Ma Shirong, Li Yinghui, Sun Rongyi, Zhou Qingyu, Huang Shuling, Zhang Ding, Li Yangning, Liu Ruiyang, Li Zhongli, Cao Yunbo, Zheng Hai-Tao*, Shen Ying*. Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction. In The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Abu Dhabi, UAE. Dec 7, 2022. 576–589. [pdf] (共同通讯，CCF B类会议正会长文)

  33. Huang Shulin, Ma Shirong, Li Yinghui, Li Yangning, Lin Shiyang, Zheng Hai-Tao*, Shen Ying*. Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation. In The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 workshop). Abu Dhabi, UAE. Dec 7, 2022. 248-261. [pdf] (共同通讯，CCF B类会议workshop长文)

  34. Feng Lingyun, Qiu Minghui, Li Yaliang, Zheng Haitao*, Shen Ying*. Wasserstein Selective Transfer Learning for Cross-domain Text Mining. In The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021). Punta Cana, Dominican Republic, Nov 7 – 11, 2021, pp. 9772–9783. [pdf] (共同通讯，CCF B类会议正会长文)

  35. Liu Haozhuang, Li Ziran, Sheng Dongming, Zheng Hai-Tao*, Shen Ying*. Multi-Entity Collaborative Relation Extraction. In The 46th international Conference on Acoustics, Speech, & Signal Processing (ICASSP 2021). Jun 6-12, 2021. Toronto, Ontario, Canada. 2021. pp. 7678-7682. [pdf] (共同通讯，CCF B类会议长文)

  36. Chen Daoyuan, Li Yaliang, Ding Bolin, Shen Ying*. An Adaptive Embedding Framework for Heterogeneous Information Networks. In The 29th ACM International Conference on Information and Knowledge Management (CIKM2020). 19-23 October 2020: pp. 165-174. [pdf] (通讯作者，CCF B类会议长文)

  37. Deng Yang, Li Dagang, Zhang Qiang, Shen Ying*. Medical Big Data Mining: Joint Symptom Name Recognition and Severity Estimation. In IEEE International Conference on Bioinformatics and Biomedicine 2020 (BIBM 2020). Seoul, Korea. 16-19 December 2020: 562-569. [pdf] (通讯作者，CCF B类会议长文)

  38. Wang Dong†, Shen Ying†, Li Ziran, Lin Zibo, Zheng Hai-Tao. Knowledge Enhanced Latent Relevane Mining for Question Answering. In The 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020). Barcelona, Spain, May 4-8, 2020. pp. 4282-4286. [pdf] (共同一作，CCF B类会议长文)

  39. Wang Liuyin, Xu Zihan, Lin Zibo, Zheng Haitao*, Shen Ying*. Answer-driven Deep Question Generation based on Reinforcement Learning. In The 28th International Conference on Computational Linguistics (COLING 2020). Online, December 8-13, 2020. pp. 5159–5170. [pdf] (共同通讯，CCF B类会议长文)

  40. Wang Dong, Li Ziran, Zheng Haitao*, Shen Ying*. Integrating User History into Heterogeneous Graph for Dialogue Act Recognition. In The 28th International Conference on Computational Linguistics (COLING 2020). Online, December 8-13, 2020. pp. 4211-4221. [pdf] (共同通讯，CCF B类会议长文)

  41. Chen Daoyuan, Li Yaliang, Yang Min, Zheng Hai-Tao, Shen Ying*. Knowledge-aware Textual Entailment with Graph Attention Network. In The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019). Beijing, China, November 3rd-7th, 2019. pp. 2145-2148. [pdf] (通讯作者，CCF B类会议长文)

  42. Shen Ying, Wen Desi, Li Yaliang, Du Nan, Zheng Haitao, Yang Min, Path-based Attribute-aware Representation Learning for Relation Prediction. In The SIAM International Conference on Data Mining (SDM 2019). Calgary, Canada. May 2 - May 4, 2019. pp. 639-647. [pdf] (第一作者，CCF B类会议)

  43. Shen Ying, Deng Yang, Zhang J, Li Yaliang, Du Nan, Fan Wei, Lei Kai. IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy. In The 18th IEEE International Conference on Data Mining (ICDM 2018). Singapore, November 17-20, 2018. pp. 1417-1422. [pdf] (第一作者，CCF B类会议)

  44. Shen Ying, Yuan Kaiqi, Li Yaliang, Tang Buzhou, Yang Min, Du Nan, Lei Kai. Drug2Vec: Knowledge-aware Feature-driven Method for Drug Representation Learning. In The IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018). Madrid, Spain, December 3-6 2018. pp. 757-800. [pdf] (第一作者，CCF B类会议)

  45. Deng Yang, Shen Ying*, Yang Min, Li Yaliang, Du Nan, Fan Wei, Lei Kai. Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge. In The 27th International Conference on Computational Linguistics (COLING 2018). Santa Fe, New-Mexico, USA, August 20-26, 2018. pp. 3295-3305. [pdf] (通讯作者，CCF B类会议)

  46. Lei Kai, Chen Daoyuan, Li Yaliang, Yang Min, Du Nan, Fan Wei, Shen Ying*. Cooperative Denoising for Distantly Supervised Relation Extraction. In The 27th International Conference on Computational Linguistics (COLING 2018). Santa Fe, New-Mexico, USA, August 20-26, 2018. pp. 426-436. [pdf] (通讯作者，CCF B类会议) (最佳论文奖 COLING 2018 Best Paper-Area Chair Favorite)

发明专利

  1. 已授权：一种多任务学习的答案选择和问题分类的方法及系统。沈颖。发明专利。ZL202110532039.8。授权公告日2024-2-2。中国
  2. 已授权：一种图网络节点表示方法。沈颖。发明专利。ZL202011416368.8。授权公告日2023-11-7。中国
  3. 已授权：优化网络表示学习的方法、模型训练方法和系统。沈颖、林仕阳。发明专利。ZL202110678666.2。授权公告日2023-6-18。中国
  4. 已授权：提高网络表示学习表示能力的方法、模型训练方法和系统。沈颖、董晨鹤。发明专利。ZL202110908974.X。授权公告日2024-2-9。中国
  5. 已授权：模型训练方法、红外小目标检测方法、装置及电子设备。李荣昊、沈颖。发明专利。ZL202211490559.8。授权公告日2023-11-7。中国
  6. 已授权：一种跨领域层次关系的知识蒸馏方法和系统。董晨鹤、沈颖。发明专利。ZL202111131585.7。授权公告日2023-10-24。中国
  7. 已授权：一种基于知识抽取的医学决策支持方法和系统。沈颖。发明专利。专利号ZL202110334381.7。授权公告日2022-09-05。中国
  8. 已授权：一种传染病的诊治方法及系统。沈颖。发明专利。专利号ZL201711396347.2。授权公告日2021-11-9。中国
  9. 已授权：一种中文关系抽取方法。丁宁、李自然、郑海涛、刘知远、沈颖。发明专利。ZL201910626307.5，授权公告日2022-12-09。中国
  10. 已授权：一种基于深度学习和内容规划的文本自动生成方法。郑海涛、柏杨、李自然、沈颖、肖喜、江勇、夏树涛。发明专利。专利号ZL202110488572.9，授权公告日2022-11-25。中国
  11. 已授权：一种基于知识图谱的针灸决策支持方法及装置。沈颖、雷凯、陈辰。发明专利。专利号ZL201610120318.2，授权公告日2019-05-07。中国
  12. 已授权：一种用于问答系统的答案排序方法。雷凯、沈颖、邓扬。发明专利。专利号ZL201810284245.X，授权公告日2020-11-17。中国
  13. 已授权：一种实体关系抽取方法。雷凯、陈道源、沈颖。发明专利。专利号ZL201810455902.2，授权公告日2020-12-01。中国
  14. 已授权：一种知识图谱的逻辑增强方法及装置。雷凯、沈颖、张丽珠、齐竹云。ZL201711344802.4。授权公告日2020-06-15。中国
  15. 已授权：一种基于知识图谱的关系抽取方法和系统。雷凯、沈颖、温德斯。发明专利。ZL201711398108.0。授权公告日2022-01-11。中国
  16. 已授权：基于预训练语义模型的超球面协同度量推荐装置和方法。郑海涛、汪洋、刘昊、肖喜、沈颖、周岚。发明专利。ZL202010389075.9。授权公告日2023-05-09。中国
  17. 已授权：一种自动化文本生成方法、装置及计算机可读存储介质。郑海涛、刘昊、沈颖、周岚、肖喜。发明专利。ZL202010388608.1。授权公告日2023-03-31。中国
  18. 已授权：基于全局和局部匹配的短文本匹配方法及系统。郑海涛、徐子涵、翟少鹏、王栋、周岚、沈颖、肖喜。发明专利。ZL202010389959.4。授权公告日2023-05-11。中国
  19. 实审：一种应急问答大模型构建方法、系统、设备及介质。沈颖、易子皓、徐辙、罗皓灏、凌振清、曾德龙、韩瑜。申请号202510093801.5，申请日2025/01/21。发明专利，中国
  20. 实审：一种基于检索增强的人机对话方法和系统。沈颖、徐辙。申请号202510093800.0，申请日2025/01/21。发明专利，中国
  21. 实审：一种多选项问题生成方法、装置、电子设备及存储介质。沈颖、罗皓灏。申请号202510093799.1，申请日2025/01/21。发明专利，中国
  22. 实审：一种多模态融合的问答方法、装置、电子设备及存储介质。沈颖、罗皓灏。申请号202510093798.7，申请日2025/01/21。发明专利，中国
  23. 实审：应急支援力量智能调派方法、装置、电子设备及存储介质。沈颖、焦麒叡、韩瑜。申请号202510093793.4，申请日2025/01/21。发明专利，中国
  24. 实审：基于多模态的应急信息生成方法、装置、电子设备及介质。沈颖、焦麒叡、况佳杙、周婷。申请号202510093796.8，申请日2025/01/21。发明专利，中国
  25. 实审：一种基于零阶优化的联邦大语言模型微调方法和系统。沈颖、凌振清。申请号202510093795.3，申请日2025/01/21。发明专利，中国
  26. 实审：一种零样本图像文本转换方法及装置。沈颖、曾德龙、林漫、易子皓。申请号202510093791.5，申请日2025/01/21。发明专利，中国

计算机软件著作权

  1. HTENS:针对知识图谱表征的类型增强负采样系统V1.0 (证书号：软著登字第11746775号，登记号：2023SR1159602，2023年2月15日)
  2. CpGCL:结合数据挖掘的网络标识学习系统V1.0 (证书号：软著登字第10843669号，登记号：2023SR0256498，2023年2月17日)
  3. AANSI:基于知识计算和知识推理的图表示学习系统V1.0 (证书号：软著登字第10843636号，登记号：2023SR0256465，2023年2月17日)
  4. 基于超分辨率和深度学习的红外小目标检测系统V1.0（证书号：软著登字第10890155号，登记号：2023SR0302984，2023年3月1日）
  5. 基于证据检索与预训练模型的长文本假新闻检测系统V1.0 (证书号：软著登字第10859631号，登记号：2023SR0272460，2023年2月16日)
  6. 特征感知的生物医学序列处理系统V1.0 (证书号：软著登字第7257343号，登记号：2021SR0534717，2021年4月14日)
  7. Drug2Vec:用于药物表示学习的知识感知功能驱动系统V1.0 (证书号：软著登字第7146531号，登记号：2021SR0424304，2021年3月19日)
  8. 基于多源信息融合的药物特征表示系统V1.0 (证书号：软著登字第7146542号，登记号：2021SR0424315，2021年3月19日)
  9. 基于知识图谱的传染病临床决策支持系统V1.0 (证书号：软著登字第7146543号，登记号：2021SR0424316，2021年3月19日)
  10. 抗生素知识图谱可视化系统V1.0 (证书号：软著登字第7146544号，登记号：2021SR0424317，2021年3月19日)
  11. 基于贝叶斯网络的医学知识图谱逻辑增强系统V1.0 (证书号：软著登字第7218637号，登记号：2021SR0496011，2021年4月6日)
  12. 医学语义关系抽取系统V1.0 (证书号：软著登字第7207640号，登记号：2021SR0485014，2021年4月1日)
  13. 基于命名实体识别的医学语义量化系统V1.0 (证书号：软著登字第7207639号，登记号：2021SR0485013，2021年4月1日)
  14. 基于路径图结构的知识图谱补全系统V1.0 (证书号：软著登字第7207638号，登记号：2021SR0485012，2021年4月1日)
  15. 基于抗感染药物知识图谱的简易问答与知识推理系统V1.0 (证书号：软著登字第1838409号，登记号：2017SR253125，2017年6月10日)
  16. 赫尔墨斯（Hermes）高并发实时消息发布/订阅系统V1.0 (证书号：软著登字第1790464号，登记号：2017SR205180，2017年5月25日)
  17. 基于图片拼接的全景图展示系统V1.0 (证书号：软著登字第1838408号，登记号：2017SR253124，2017年6月10日)
  18. 图片海报文字自动叠加处理系统 (证书号：软著登字第1244983号，登记号：2016SR066366) 2016年3月31日
  19. 活动标签云推荐系统 (证书号：软著登字第1264538号，登记号：2016SR085921) 2016年4月25日
  20. 基于iBeacon蓝牙4.0室内定位算法的校园应用软件V1.0 (证书号：软著登字第1838384号，登记号：2017SR253100) 2016年12月5日

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