1、基本信息
姓名：叶璐瑶
专业职称：讲师（高校）
职级：中级
博/硕导：硕士生导师
硕士生招生专业：计算机科学与技术 人工智能 教育技术学
邮箱：luyaoye@ccnu.edu.cn
2、科研项目
主持国家自然科学基金-青年科学基金项目，项目号：62507024，项目名称：大小模型协同驱动的教育智能体主动提问方法研究；
主持湖北省自然科学基金青年项目，项目号：2025AFB197，项目名称：基于大-小模型融合的多智能体自适应导学关键技术研究；
主持中国博士后科学基金面上项目，项目号：2025M771668，项目名称：跨尺度多模态行为数据驱动的教育智能体策略性提问方法研究；
主持中央高校基本科研业务费，项目号：CCNU24XJ004，项目名称：基于大语言模型生成式智能答疑可靠性及有效性研究；
参与国家自然科学基金重点项目，项目号：62437002，项目名称：面向智慧教育的多模态模型构建方法。
3、学术活动
参与ACL、EMNLP、ICRA等国际学术会议；
担任CVPR、EMNLP、ICRA以及IOTJ等期刊会议的审稿人。
4、个人荣誉
本人于2023年入选国家海外引才专项，“基于AIGC技术赋能师生机多模态交互及个性化教学”。
5、教育背景
2019年至2023年,香港城市大学,计算学院,计算机科学专业,博士
2018年至2019年,香港中文大学,工学院,信息工程专业,硕士
2013年至2017年,武汉大学,计算机学院,信息安全专业,本科
6、讲授课程
计算思维、知识表示与处理
7、发表论文
Tongxi Liu, Luyao Ye* (叶璐瑶), Wei Yan, A framework for evaluation of large language models in essay assessment: Reliability, alignment, and causal reasoning, Computers and Education: Artificial Intelligence, Volume 10, 2026, 100565, ISSN 2666-920X, （通讯）
Tongxi Liu, Luyao Ye (叶璐瑶), Hanxiang Du. (2026, April). From Scores to Structures: Causal Interpretability of LLM-Based Essay Evaluation. The 16th International Conference on Learning Analytics & Knowledge, Bergen.
Luyao Ye (叶璐瑶), Zikang Zhou, Jianping Wang, Yung-Hui Li, Nien-Yi Jan, Yi-Rong Lin, Yen-Cheng Lin. IMGTP: A Unified Framework for Improving and Measuring the Generalizability of Trajectory Prediction Models, in IEEE Transactions on Intelligent Vehicles, 2024, doi: 10.1109/TIV.2024.3364714. (SCI一区期刊，IF: 14)
Luyao Ye (叶璐瑶), Zezhong Wang, Xinhong Chen, Jianping Wang, Kui Wu, Kejie Lu. GSAN: Graph self-attention network for learning spatial- temporal interaction representation in autonomous driving. IEEE Internet of Things Journal, 2022. (SCI一区期刊，IF: 10.6)
Luyao Ye (叶璐瑶), Zikang Zhou, Jianping Wang. Improving the Generalizability of Trajectory Prediction Models with Frenét-Based Domain Normalization[C]//2023 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2023: 11562-11568. (CCF B)
Luyao Ye (叶璐瑶), Zezhong Wang, Xinhong Chen, Jianping Wang, Kui Wu, Kejie Lu. GSAN: Graph Self-Attention Network for Interaction Measurement in Autonomous Driving. The 17th IEEE International Conference on Mobile Ad-Hoc and Smart Systems, 2020. (CCF C)
Zezhong Wang, Luyao Ye* (叶璐瑶), Hongru Wang, Wai-Chung Kwan, David Ho, Kam-Fai Wong. ReadPrompt: A Readable Prompting Method for Reliable Knowledge Probing[C]//Findings of the Association for Computational Linguistics: EMNLP 2023. 2023: 7468-7479. (CCF B，通讯)
Zikang Zhou, Luyao Ye (叶璐瑶), Jianping Wang, Kui Wu, Kejie Lu. HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022. (CCF A)
Yi Jiang, Weizhen Han, Luyao Ye (叶璐瑶), Yang Lu, Bingyi Liu. Two-Stream 3D MobileNetV3 for Pedestrians Intent Prediction Based on Monocular Camera. 2022 International Conference on Neural Computing for Advanced Applications.
Bingyi Liu, Libing Wu, Dongyao Jia, Lei Nie, Luyao Ye (叶璐瑶), Jianping Wang. Data Uplink Strategy in Mobile Cloud Service Based Vehicular Ad Hoc Network. Journal of Computer Research and Development, 2016. (CCF A，计算机研究与发展)
Yong Xie, Libing Wu, Yubo Zhang, Luyao Ye (叶璐瑶). Anonymous mutual authentication and key agreement protocol in multi-server architecture for VANETs. Computer Research and Development, 2016. (CCF A，计算机研究与发展)
Libing Wu, Lei Nie, Bingyi Liu, Ni Wu, Yifei Zou, Luyao Ye (叶璐瑶). An Intelligent Traffic Signal Control Method in VANET. Chinese Journal of Computers, 2016. (CCF A, 计算机学报)
