刘明  |  Ming Liu, Ph.D.

教授、博士生导师  |  Professor & Doctoral Supervisor

西南大学  |  Southwest University, Chongqing, China     Email: mingliu@swu.edu.cn

个人简介 | Biography

中文简介

刘明，教授，博士生导师，澳大利亚悉尼大学博士，西南大学教育智能体与学习分析研究中心主任。曾任澳大利亚悉尼大学博士后研究员、悉尼科技大学智慧教育链接中心研究员。主要研究以人为本的人工智能与数据分析、人工智能赋能计算机教育，重点关注人机协同智能、跨模态知识表征、多模态学习分析、智能推理与个性化学习。

主持国家自然科学基金项目3项和重庆市自然科学基金重点项目2项。在Engineering Applications of Artificial Intelligence、Knowledge-Based Systems、Computers in Human Behavior、British Journal of Educational Technology等中科院一区SCI/SSCI期刊上发表论文15篇，Google h-index 31, 入选2025年CNKI全国高被引学者TOP 1%。

English Biography

Dr. Ming Liu is a Professor and Doctoral Supervisor at Southwest University, China, and Director of the Research Center for Educational AI Agents and Learning Analytics. He received his Ph.D. from the University of Sydney, Australia, and previously held research appointments at the University of Sydney and the Connected Intelligence Centre, University of Technology Sydney.

His research focuses on Human-Centered AI and Data Analytics, Large Language Models and Knowledge Graphs, and AI for Computer Science Education, with particular interests in human–AI collaboration, cross-modal knowledge representation, multimodal learning analytics, intelligent reasoning, and personalized learning. He has been Principal Investigator of three National Natural Science Foundation of China projects (two General Program grants and one Young Scientists Fund grant) and a Key Project of the Chongqing Natural Science Foundation Innovation and Development Joint Fund. His publications appear in leading international journals, and he was recognized as a CNKI Top 1% Highly Cited Scholar in 2025.

研究方向 | Research Interests

• 以人为本的人工智能与数据分析 | Human-Centered AI and Data Analytics

• 大语言模型、知识图谱与智能推理 | Large Language Models, Knowledge Graphs and Reasoning

• 人工智能赋能计算机教育 | AI for Computer Science Education

• 多模态学习分析与个性化学习 | Multimodal Learning Analytics and Personalized Learning

代表性科研项目 | Selected Research Grants

1. 国家自然科学基金面上项目 | NSFC General Program

知识增强大语言模型的科学课教学问题智能生成方法研究

Intelligent Question Generation for Science Education Using Knowledge-Enhanced Large Language Models

62477039 | 2025.01–2028.12 | 主持 / PI

2. 国家自然科学基金面上项目 | NSFC General Program

面向小学阅读理解提问教学的深度神经网络智能提问方法与应用研究

Deep Neural Network-Based Intelligent Question Generation for Reading Comprehension Instruction

61977054 | 2020.01–2023.12 | 主持 / PI

3. 国家自然科学基金青年科学基金项目 | NSFC Young Scientists Fund

基于学习排序模型的中文智能提问方法研究

Learning-to-Rank-Based Methods for Automatic Chinese Question Generation

61502397 | 2016.01–2018.12 | 主持 / PI

4. 重庆市自然科学基金创新发展联合基金重点项目 | Chongqing Natural Science Foundation Joint Fund Key Project

面向智慧职教的跨模态知识表征与个性化学习理论与方法

Cross-Modal Knowledge Representation and Personalized Learning for Smart Vocational Education

2023.10–2026.09 | 主持 / PI

5. 重庆市教育委员会科学技术研究计划重点项目 | Key Research Project, Chongqing Municipal Education Commission

个性化科学教育大语言模型的关键技术与应用示范研究

Key Technologies and Application Demonstrations of Personalized Large Language Models for Science Education

2024.06–2027.06 | 主持 / PI

六、代表性学术论文 | Selected Publications

（一）人工智能、知识推理与数据分析 | AI, Knowledge Reasoning & Data Analytics

1. Wang, X., Bai, H., Huang, S., Wu, G., Yang, D., Wang, S., Liao, J., Zhang, Y., Liu, M., & Liu, L. (2026). A survey on synergizing large language models and knowledge graphs for reasoning. Engineering Applications of Artificial Intelligence, 182, 116132. 中科院一区

2. Wang, S., Li, X., Liao, G., Liu, J., Liao, C., Liu, M., Liao, J., & Liu, L. (2024). A spatio-temporal graph neural network for fall prediction with inertial sensors. Knowledge-Based Systems, 293, 111709. 中科院一区。

3. Wang, S., Luo, H., Huang, S., Li, Q., Liu, L., Su, G., & Liu, M. (2023). Counterfactual-based minority oversampling for imbalanced classification. Engineering Applications of Artificial Intelligence, 122, 106024 中科院一区。

4. Liu, M., Kitto, K., & Buckingham Shum, S. (2021). Combining factor analysis with writing analytics for the formative assessment of written reflection. Computers in Human Behavior, 120, 106734. 中科院一区。

5. Liu, M., Calvo, R., Pardo, A., & Martin, A. (2015). Measuring and visualizing students' behavioral engagement in writing activities. IEEE Transactions on Learning Technologies, 8(2), 215–224. SCI Q1期刊。

（二）大语言模型、智能体与计算机教育 | LLMs, Intelligent Agents & Computer Science Education

6. Liu, M., Wu, Z., Dai, H., Su, Y., Malik, L., Liao, J., et al. (2025). Enhancing self-directed learning and Python mastery through integration of a large language model and learning analytics dashboard. British Journal of Educational Technology. 中科院一区TOP期刊。

7. Liao, J., Zhong, L., Zhe, L., Xu, H., Liu, M., & Xie, T. (2024). Scaffolding computational thinking with ChatGPT. IEEE Transactions on Learning Technologies, 17, 1668–1682. SCI Q1期刊，通讯作者。

8. Liu, M., Zhang, J., Nyagoga, L. M., & Liu, L. (2024). Student-AI question cocreation for enhancing reading comprehension. IEEE Transactions on Learning Technologies, 17, 815–826. SCI Q1期刊。

9. Liu, M., Liu, L., & Liu, L. (2018). Group awareness increases student engagement in online collaborative writing. The Internet and Higher Education, 38, 15–23. 中科院一区TOP期刊。

10. Liu, M., Rus, V., & Liu, L. (2017). Automatic Chinese multiple choice question generation using mixed similarity strategy. IEEE Transactions on Learning Technologies, 11(2), 193–202. SCI Q1期刊。

教育背景 | Education

• 博士 Ph.D., Artificial Intelligence and Education — The University of Sydney, Australia (2012)

• 硕士 Master of Information Technology — University of Tasmania, Australia (2006)

• 学士 Bachelor of Computer Science — University of Tasmania, Australia (2005)

学术经历 | Academic Appointments

• 西南大学教育智能体与学习分析研究中心主任 | Director, Research Center for Educational AI Agents and Learning Analytics (2025–Present)

• 西南大学教授 | Professor, Southwest University (2020–Present)

• 悉尼科技大学智慧教育链接中心研究员 | Research Fellow, Connected Intelligence Centre, University of Technology Sydney (2019–2020)

• 西南大学计算机与信息科学学院副教授、讲师 | Associate Professor / Lecturer, School of Computer and Information Science, Southwest University (2014–2020)

• 悉尼大学博士后研究员 | Postdoctoral Research Fellow, The University of Sydney (2013–2014)

教学与学术服务 | Teaching & Academic Service

课程领域包括数据科学、数据挖掘、Python编程、智能教学系统、学习分析及系统分析与设计。研究平台包括Python自适应学习系统（APLS）、AcaWriter、Co-Asker及Cooperpad。

Teaching areas include Data Science, Data Mining, Python Programming, Intelligent Tutoring Systems, Learning Analytics, and Systems Analysis and Design. Research systems include APLS, AcaWriter, Co-Asker, and Cooperpad.