教师名录

邮箱:lpshen@sjtu.edu.cn
所在研究所:机器智能研究所
个人简介
申丽萍 博士,上海交通大学计算机学院副教授,研究方向为智慧教育(AIED)。自2001年起为全国信息技术标准化技术委员会教育技术分技术委员会委员,ISO国际标准专家,获委员会“20周年卓越贡献奖”。曾任SCI期刊Journal of Ambient Intelligence and Smart Environments研究领域主要集中在自适应学习技术、情感计算与学习数据分析。主持和负责的课题包括自然科学基金“基于多模态情感识别技术的情感学习模型研究”和“面向多视点课堂视频的教学对象体感-情感协同建模技术”,863项目“基于情境感知的多通道融合交互模型与关键技术”,教育部“教育部教育信息化标准体系构建及“十三五”标准规划研究(子项目)”,上海科技支撑项目“基于Moocs的教育学习服务平台方案设计和运营支撑”,以及横向项目包括“基于大数据分析的资金面预警预测”等。近年来在国内外期刊和会议上发表论文五十余篇,曾获2016年上海CCF普适计算与嵌入式分委员会最佳英文论文奖,该论文被引达400多次,指导学生论文获NLPCC2024最佳学生论文奖。负责起草已发布国家标准4个,参与起草已发布国际标准2个,教育人工智能大模型系列标准的联合召集人,上海市人工智能技术协会教育大模型系列标准T/SAIA 0013-2023的第一起草人。
教育背景
2002~2008,上海交通大学,计算机系,博士
1997~2000,上海交通大学,电子工程系,硕士
1989~1992,西安交通大学,教育改革试点班,本科肄业
工作履历
2000~至今,上海交通大学,计算机科学与技术系,副教授(2000~2008年为讲师)
2010~2011, 剑桥大学,计算机实验室,访问学者
教授课程
CS3311/CS3338 计算机网络 (本科,英文授课,2002 - )
CS2501 离散数学 (本科,2015 - )
论文发表
1. B. Cao, G. Lu, and L. Shen, "Orchestrate-on-Graph: A Multi-Agent Hybrid Retrieval and Reasoning Framework for Reliable LLM Reasoning," 2025 IEEE International Conference on Big Data (BigData), Macau SAR, China, 2025.
2. 郑莉(主编),申丽萍等(副主编),数字教育标准研究报告与优秀应用案例汇编,高等出版社,2025
3. He, C., Lu, G., Shen, L. (2025). ProSide: Knowledge Projector and Sideway for Pre-trained Language Models. In: Wong, D.F., Wei, Z., Yang, M. (eds) Natural Language Processing and Chinese Computing. NLPCC 2024. Best Student Paper
4. Lu G, He C, Shen L. Synergizing Internal and External Knowledge: Prompt Engineering for Efficient and Effective Large Language Model Reasonin, IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2024
5. 申丽萍,何朝帆,曹东旭,朱云彬,吴永和.大语言模型在中学历史学科中的应用测评分析[J].现代教育技术,2024,34(02):62-71.
6. Han,Tianyuan;Huang,Ganyu;Li,Chunhui;Shen,Liping,” Human Pose Estimation with Combined Feature Maps and Joint Embeddings”, AAIA '23: Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications.
7. He, C., Li, C., Han, T., Shen, L. (2024). Assessing and Enhancing LLMs: A Physics and History Dataset and One-More-Check Pipeline Method. ICONIP 2023.
8. 郑莉(主编),申丽萍等(副主编),数字教育标准研究报告与优秀应用案例汇编,清华大学出版社,2024
9. Li, C., Yang, H., Lan, K., Shen, L. (2023). Cross Classroom Domain Adaptive Object Detector for Student’s Heads. In: Iliadis, L., Papaleonidas, A., Angelov, P., Jayne, C. (eds) Artificial Neural Networks and Machine Learning – ICANN 2023. ICANN 2023. Lecture Notes in Computer Science, vol 14255.
10. Y. Xiong, J. You and L. Shen, "GAN Latent Space Manipulation Based Augmentation for Unbalanced Emotion Datasets," 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, 2023, pp. 1-8, doi: 10.1109/IJCNN54540.2023.10191807.
11. J. You, G. Huang, T. Han, H. Yang and L. Shen, "A Unified Framework From Face Image Restoration to Data Augmentation Using Generative Prior," in IEEE Access, vol. 11, pp. 2907-2919, 2023.
12. J. Chen, L. Shen etc. “Heterogeneous Graph Representation for Knowledge Tracing” , 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, Proceedings, Part I, April 2023, Pages 224–235.
13. H. Yang, K. Lan, J. You and L. Shen, "A simple but practical method: How to improve the usage of entities in the Chinese question generation," 2022 International Joint Conference on Neural Networks (IJCNN), 2022, Padua, Italy, 18-23 July, 2022, pp. 1-8.
14. J. You, T. Han and L. Shen, "From Uniform Models To Generic Representations: Stock Return Prediction With Pre-training," 2022 International Joint Conference on Neural Networks (IJCNN), 2022, pp. 1-8.
15. D. Luo and L. Shen, "Vessel-Net: A Vessel-Aware Ensemble Network For Retinopathy Screening From Fundus Image," 2020 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2020, pp. 320-324.
16. L. Wang and L. Shen, "A ConvLSTM-Combined Hierarchical Attention Network For Saliency Detection," 2020 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2020, pp. 1996-2000.
17. W. Yin and L. Shen, “A Short Text Classification Approach with Event Detection and Conceptual Information” Proceedings of the 2020 5th International Conference on Machine Learning Technologies, PP 129–135 (ICMLT), Beijing China June, 2020.
18. Wang F, Shen L, Action Unit Assisted Facial Expression Recognition[C], International Conference on Artificial Neural Networks (ICANN), Cham, Springer, 2019: 385-396. 17th – 19th September, 2019, Munich, Germany
19. Wang F, Shen L, Facial Expression Recognition: Residue Learning Using SVM [C], IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 4-6 Nov. 2019, Portland, USA
20. Wang Q, Shen L. Student Proficiency Prediction on MOOC data. International Journal of Machine Learning and Computing,2018.
21. Shen LP, Muñoz A, and Zhang TZ. Introduction to the thematic issue on Natural Interaction in Intelligent Environments.[J]. Journal of Ambient Intelligence and Smart Environments. 2016, 8(1):3-4
22. Kang S, Shen L, A quantitative measure for meal-mate social capital networks, Intelligent Environments (IE), 2014 International Conference on. IEEE, p. 124-131. 14-16 Sept. 2016, London
23. Shen L, Xie B, Shen R. Enhancing User Experience in Mobile Learning by Affective Interaction[C]. Intelligent Environments (IE), 2014 International Conference on. IEEE, 2014:297-301. 30th June~4th July 2014, Shanghai.
24. Xie B, Shen L. An Wearable ECG Analysis System with Novel Interactive Method[C] Intelligent Environments (IE), 2014 International Conference on. IEEE, 2014:357-360. 30th June~4th July 2014, Shanghai.
25. Callaghan V, Shen LP, Gardner M, Shen RM, Wang MJ, “A Mixed Reality Approach to Hybrid Learning in Mixed Culture Environments”, in Handbook of Research on Hybrid Learning Models: Advanced Tools, Technologies, and Applications (1st Ed.),F. Wang, J. Fong Kong and R. Kwan Ed., Information Science Publishing, 2010
26. Shen LP, Wang MJ, Shen RM, “Affective eLearning: Utilizing Emotion Data to Improve Learning in the Pervasive Environment”, Educational Technology & Society, 12 (2), 176–189,2009
资助项目
1. 教育部首批生成式人工智能教育专用大模型建设项目,材料学科教育大模型及其应用,2025~2028,主要参与
2. 教育部教育技术标准化委员会,2025 年度信息技术发展及其对教育技术的影响研究 2025
3. 上海交大医工交叉 多模态数据和大语言模型双轮驱动下老年轻度认知障碍患者照护机器人的构建研究 2025~2026
4. 自然科学基金重大研究计划,基于跨模态通用语言大模型的专业领域人机对话交互方法,2024-2027,主要参与
5. 自然科学基金,面向多视点课堂视频的教学对象体感-情感协同建模技术,2017-2020
6. 科技部政府间国际科技创新合作重点专项,基于视脑信息融合分析的中以联合信息化教育技术研究,2017-2019
7. 上海市科委(17511101900),基于体感情感的课堂场景分析及应用,2017-2019
8. 平安资产管理有限责任公司横向项目,基于大数据和人工智能的预测模型和算法研究,2017- 2018
9. 上海市信产通信服务有限公司,基于Moocs的教育学习服务平台方案设计和运营支撑,2015-2016
10. 教育部教育信息化标准体系构建及“十三五”标准规划研究(子项目),2014-2015
11.国家自然科学基金面上项目,基于多模态情感识别技术的情感学习模型研究,2009-2011
12.国家863项目,基于情境感知的多通道融合交互模型与关键技术,2007-2009