沈颖

副教授

联系邮箱： sheny76@mail.sysu.edu.cn

联系地址： 储候快讯登录入口官网东校区南实验楼D栋301-A室

个人主页： https://github.com/SYSU-NLPLab/AIGC

沈颖，储候快讯登录入口官网副教授，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。长期从事人工智能、大语言模型、多模态计算、具身智能学科探索，研究内容为：大模型智能体的可信自主学习与评测。在该领域出版教科书1部；连续5学期/学年作为唯一主讲老师开设慕课西行《自然语言处理与人工智能》课程协助西北地区高校人工智能学科建设，网上选课人数82925人，选课学校236所。在该领域以第一作者或通讯作者发表高水平论文205篇，其中6篇入选ESI前1%高被引论文，2篇入选ESI前1‰热点论文，3篇获国际会议最佳论文奖，多篇工作获IEEE/ACM Fellow高度评价、入选会议Oral/Highlight。授权专利25项，已转化专利1项；授权软件著作权25项；发布团体标准1项。 

主持或作为课题负责人承担国际、国家、省部级研究项目25项，包括国自然企业创新发展联合基金(人工智能领域)重点支持项目、新一代人工智能国家科技重大专项、国自然面上/青年项目、工信部攻关专项、国家消防救援总局项目、军委科技委项目。主导构建“神机应急大模型”， 成果落地于广东省消防指挥中心、中海油、有色院、建筑科学研究院等多家重要单位，获人民日报、学习强国等报道。作为联合发起人深度参与到阿里通义Data-Juicer项目（https://github.com/datajuicer/data-juicer，Github 7200+ star）、储候快讯登录入口官网PhyAgentOS具身智能项目（https://phy-agent-os.net/，Github 2800+ star，获全球顶级Physical AI技术挑战赛全赛道总冠军。亮相世界人工智能大会，获央视焦点访谈、美联社、华尔街见闻等多家权威媒体报道）。

多次入选年度全球前2%科学家榜单、爱思唯尔中国高被引学者榜。获广东省科学技术奖二等奖、中国公共安全科学技术奖青年科技奖、广东省安全生产协会应急与安全科技进步奖一等奖、广东省土木建筑学会科学技术奖一等奖、广东省学校优秀教学成果奖（高等教育-本科类）一等奖等荣誉。

一、学科方向

人工智能、大语言模型、具身智能。 
团队学术气氛浓厚，师生关系融洽，集体活动丰富。 
欢迎有志于攻读大语言模型、人工智能、自然语言处理的学生报考硕士、博士、博士后！团队亦大量招收实习生，欢迎来信咨询！

二、往届学生就业情况

  • 2018届Wen Desi（微软北京）、Si Shangchun（美团）、Zhang Lizhu（招商银行）、Zhang Qiang（美团）
  • 2019届Deng Yang（港中文读博、现任新加坡管理大学助理教授）、Chen Daoyuan（入选阿里星计划、阿里达摩院）、Zhang Bing（中国人民银行总部）、Yuan Kaiqi（蚂蚁科技）
  • 2020届Xie Yuexiang（入选阿里星计划、阿里达摩院）、Huang Jiyue（代尔夫特理工大学读博）、Feng Lingyun（中国移动北京总部）
  • 2021届Bai Yang（腾讯）、Wang Yang（阿里达摩院）、Wang Dong（阿里达摩院）
  • 2022届Liu Hao（字节跳动）、Sheng Dongming（字节跳动）
  • 2023届Dong Chenhe（阿里通义）、Lin Shiyang（国企）
  • 2024届Lin Zhenzhou（腾讯）、ZhaoZishuo（阿里达摩院）、Xie Jingyou（腾讯）
  • 2025届Zeng Delong（腾讯）、Lin Man（国企）、Zha Enze（国企）、Li Ronghao（华为）
  • 2026届Lin Zhenqing（阿里通义）、Luo Haohao（阿里通义）、Xu Zhe（硕转博在读，入选腾讯青云计划）

三、专著

《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

四、代表性论文（30篇）

  1. Luo Haohao, Li Zexi, Xie Yuexiang, Zhang Wenhao, Li Yaliang, Shen Ying*. IntentRL: Training Proactive User-intent Agents for Open-ended Deep Research via Reinforcement Learning. Forty-third International Conference on Machine Learning (ICML 2026), July 6-11, 2026. Seoul, South Korea. (通讯作者, CCF A类会议)
  2. Zhou Ting, Ling Zhenqing, Zhao Yiyang, Shen Ying*, Daoyuan Chen. GeoAlign: Geometric Rollout Curation for Robust LLM Reinforcement Learning. Forty-third International Conference on Machine Learning (ICML 2026), July 6-11, 2026, Seoul, South Korea. (通讯作者，CCF A类会议)
  3. Jiao Qirui, Chen Daoyuan, Huang Yilun, Lin Xika, Shen Ying*, Li Yaliang. DetailMaster: Can Your Text-to-Image Model Handle Long Prompts? International Conference on Machine Learning (ICML 2026), July 6-11, 2026. Seoul, South Korea. (通讯作者, CCF A类会议)
  4. Zhou Ting, Chen Daoyuan, Jiao Qirui, Ding Bolin, Li Yaliang, Shen Ying*. HumanVBench: Probing Human-Centric Video Understanding in MLLMs with Automatically Synthesized Benchmarks. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026), June 3 –7, 2026, Denver, CO, USA. pp. 4494-4504. (通讯作者，CCF A类会议)
  5. Zhong Ming, Wang Yuanlei, Zhang Liuzhou, An Ruichuan, Zhang Renrui, Lu Ming, Liang Hao, Shen Ying*, Zhang Wentao. VCU-Bridge: Hierarchical Visual Connotation Understanding via Semantic Bridging. Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026). Denver Convention Center. Jun 3 – 7, 2026. (通讯作者，CCF A类会议)
  6. Kuang Jiayi, Li Yinghui*, Zhang Xin, Li Yangning, Yin Di, Sun Xing, Shen Ying*, Philip S. Yu. Process-level Trajectory Evaluation for Environment Configuration in Software Engineering Agents. The 14th International Conference on Learning Representations (ICLR 2026). Rio de Janeiro, Brazil. April 23rd - 27th, 2026. (通讯作者，CCF A类会议，共同通讯作者)
  7. Yi Zihao, Jiang Qingxuan, Ma Ruotian, Chen Xingyu, Yang Qu, Wang Mengru, Ye Fanghua, Shen Ying*, Tu Zhaopeng, Li Xiaolong, Bo Liefeng. Too Good to be Bad: On the Failure of LLMs to Role-Play Villains. Association for Computational Linguistics (ACL 2026), July 2-7, 2026, San Diego, CA, USA. (通讯作者，CCF A类会议)
  8. Yi Zihao, Ling Zhenqing, Zeng Delong, Luo Haohao, Xu Zhe, Liu Wei, Luan Jian, Cao Wanxia, Shen Ying*. Attention Basin: Why Contextual Position Matters in Large Language Models. Findings of the Association for Computational Linguistics (ACL 2026), July 2-7, 2026, San Diego, CA, USA. pp. 26086–26106. (通讯作者，CCF A类会议)
  9. Jiao Qirui, Jiao Dian, Du Nan, Shen Ying*, Lin Liang. Invocation Refiner: A Plug-and-Play Module for Rectifying LLM Tool Invocations. Findings of the Association for Computational Linguistics (ACL 2026), July 2-7, 2026, San Diego, CA, USA. pp. 14866–14898. (通讯作者，CCF A类会议)
  10. Ling Zhenqing, Chen Daoyuan, Yao Liuyi, Shen Qianli, Li Yaliang, Shen Ying*. Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data. The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), Dec 2nd - Dec 7th, 2025, San Diego, USA. (通讯作者，CCF A类会议)
  11. Kuang Jiayi, Huang Haojing, Li Yinghui, Liang Xinnian, Xu Zhikun, Li Yangning, Tan Xiaoyu, Qu Chao, Zhang Meishan, Shen Ying*, Philip S. Yu. Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities, The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025). Dec 2nd - Dec 7th, 2025, San Diego, USA. (通讯作者，CCF A类会议)
  12. Xu Zhe, Chen Daoyuan, Ling Zhenqing, Li Yaliang, Shen Ying*. MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning? The Thirty-Ninth Annual Conference on Neural Information Processing Systems Datasets & Benchmarks (NeurIPS 2025), Dec 2nd - Dec 7th, 2025, San Diego, USA. (通讯作者，CCF A类会议)
  13. Li Yinghui, Huang Haojing, Kuang Jiayi, Li Yangning, Guo Shuyu, Qu Chao, Tan Xiaoyu, Zheng Haitao, Shen Ying*, Philip Yu. Refine Knowledge of Large Language Models via Adaptive Contrastive Learning. The 13th International Conference on Learning Representations (ICLR 2025). Singapore. Apr 24 –28, 2025. (通讯作者，CCF A类会议)
  14. Jiao Qirui, Chen Daoyuan, Huang Yilun, Ding Bolin, Li Yaliang, Shen Ying*. Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025 (CVPR 2025), June 11th - June 15th, 2025, Nashville TN, USA. (通讯作者，CCF A类会议)
  15. Li Yinghui, Kuang Jiayi, Huang Haojing, Xu Zhikun*, Liang Xinnian, Yu Yi, Lu Wenlian, Li Yangning, Tan Xiaoyu*, Qu Chao, Shen Ying*, Zheng Hai-Tao, Philip S. Yu. One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs. International Conference on Machine Learning (ICML 2025). July 13-19, 2025. Vancouver, Canada. (通讯作者，CCF A类会议)
  16. Luo Haohao, Kuang Jiayi, Liu Wei, Shen Ying*, Luan Jian, Deng Yang. Browsing Like Human: A Multimodal Web Agent with Experiential Fast-and-Slow Thinking. In The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), July 27 – August 1st, 2025, Vienna, Austria. (通讯作者，CCF A类会议)
  17. Zeng Delong, Xie Yuexiang, Li Yaliang, Shen Ying*. Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment. In The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), July 27 – August 1st, 2025, Vienna, Austria. (通讯作者，CCF A类会议)
  18. Kuang Jiayi, Li Yinghui, Wang Chen, Luo Haohao, Jiang Wenhao, Shen Ying*. Express What You See: Can Multimodal LLMs Decode Visual Ciphers with Intuitive Semiosis Comprehension? The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), July 27 – August 1st, 2025, Vienna, Austria. (通讯作者，CCF A类会议)
  19. 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), Feb 25 – Mar 4, 2025, Pennsylvania, USA. (通讯作者，CCF A类会议)
  20. Ling Zhenqing, Chen Daoyuan, Liu Yi, Li Yaliang, Shen Ying*. On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. In the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ACM KDD 2024), August 25-29, 2024, Barcelona, Spain. (通讯作者，CCF A类会议)
  21. Jiao Qirui, Chen Daoyuan, Huang Yilun, Li Yaliang, Shen Ying*. From Training-Free to Adaptive: Empirical Insights into MLLMs' Understanding of Detection Information. International Journal of Computer Vision (IJCV). 2026, 134.6 (2026): 316. (通讯作者，SCI JCR一区，CCF A类，中科院一区, 录用年IF:10.3)
  22. Yi Zihao, Ouyang Jiarui, Xu Zhe, Liu Yuwen, Liao Tianhao, Luo Haohao, Shen Ying*. A Survey on Recent Advances in LLM. Based Multi-turn Dialogue Systems. ACM Computing Surveys. 2025. 58(6): 1-38. (通讯作者，SCI JCR一区，中科院一区, IF:30.4) (高被引论文)
  23. 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 (TOC). 2021, 50(12), 4946-4957. (通讯作者，SCI JCR一区，中科院一区, 录用年IF:19.118)
  24. 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. (第一作者，SCI JCR一区, 录用年IF: 11.46) (高被引论文、热点论文)
  25. 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 (TNNLS). 2021, 34(8). 5051-5063. (第一作者，SCI JCR一区，中科院一区, 录用年IF: 14.255)
  26. 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 (TNNLS). 2023, 1-15. (通讯作者，SCI JCR一区，中科院一区, 录用年IF: 14.255) (高被引论文)
  27. 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 (TNNLS). 2020, 32(6): 2744-2757. (第一通讯，SCI JCR一区, 中科院一区, IF: 14.255)
  28. 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. (共一作者，SCI JCR一区, IF: 11.6)
  29. 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. 35(12), 12458-12469. (共同通讯，SCI JCR一区, IF: 11.6)
  30. 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 (TOIS). 2021, 40(1): 1-33. (通讯作者，SCI JCR一区, IF: 11.2)

五、联系方式

电子邮箱：sheny76{at}mail.sysu.edu.cn