教授（二级）、博士生导师
Email：Liq_t@swufe.edu.cn
n 教授简介
n 李庆教授现任人工智能与数字金融（原金融智能与金融工程四川省重点实验室fife.swufe.edu.cn）主任，金融科技国际联合实验室（FIC，fic.swufe.edu.cn），副院长、教授、博士生导师。他是政府特聘专家，并担任中国人工智能（CAAI）协会专委会委员，曾任美国亚利桑那大学客座教授，曾担任加州大学伯克利分校国际风险分析大数据联盟CDAR董事会成员。此外，入选了多项高层次人才支持计划，并担任四川省省属国有企业“十四五”规划专家组成员。
n 在国际期刊和会议上发表了100余篇论文，其中40余篇作为第一作者或通讯作者，发表于CCF A类期刊、中科院1区TOP期刊及JCR Q1区期刊，涵盖ACM TOIS、IEEE TKDE、SIGIR、AAAI、ACL、IJCAI、WWW等知名学术期刊与会议。主持了10余项省部级科研项目，包括4项国家自然科学基金项目、1项美国国家科学基金（NSF）项目，以及2项企业风险投资项目，并参与了国家科技部重点研发计划。他作为研发负责人，主导并参与了多项国家和省部级重大工程项目，多项技术已在我国相关政府部门和企事业单位广泛应用，用于风险预警与防控，挽回了巨额经济损失。此外，主持研发了多个开源平台与大模型系统，包括证券市场因子分析平台、证券市场上市公司风险预警平台以及基于大模型的智慧教育平台（目前限校内访问：yike.swufe.edu.cn）。
n 曾获四川省金融协会一等奖，并建设了2门四川省一流课程。他还担任3个SCI国际期刊的编委，曾多次担任国际学术会议程序委员会主席及委员，涉及ACM SIGIR、AAAI、ACL、CKIM、IJCAI、SIGKDD等。
n 研究领域
金融与人工智能
n 职业经历
2024年至今 教授，博导，西南财经大学 管理科学与工程学院
2022年至2024 教授，博导，西南财经大学 数字经济与交叉科学创新研究院
2017年至2022 教授、博导，西南财经大学 计算机与人工智能学院
2014年至2016 美国亚利桑那大学 Eller商学院
2008年至2014年 副教授，西南财经大学 经济信息工程学院
2006年至2008年 博士后研究员 美国亚利桑那州立大学计算机系 合作导师：S.K. Candan
2005年至2006年 博士后研究员 韩国国家科学技术院 合作导师：S. H. Myaeng
n 讲授课程
本科 金融与人工智能
研究生 高级机器学习
n 研究成果
代表性国际期刊论文
1. Sanchuan Xiao, Qing Li*, Xiaoyue Gong, Jingmei Zhao, Lingyun Gu, Long Peng (2025) Unveiling risk propagation: a lead-lag-aware framework for financial market prediction [J]. Expert Systems With Applications, (2025), 288, 128143.
2. Yan Chen, Lin Zhang, Zhilong Xie, Wenjie Zhang, Qing Li* (2025). Unraveling Asset Pricing with AI: A Systematic Literature Review[J]. Applied Soft Computing (Accept)
3. Sanchuan Xiao, Qing Li*, Xiaoyue Gong, Jingmei Zhao, Lingyun Gu, Long Peng (2025) ComNC: A unified framework for trends prediction integrating node and concept effects [J]. Neurocomputing, 2025, 630,129721.
4. Guanyuan Yu, Boyu Han, Qing Li*, Jiwen Huang (2025). Harnessing Logic Heterograph Learning for Financial Operational Risks: A Perspective of Cluster and Thin-tailed Distributions[J]. Information Sciences, 2025: 121939.
5. Xiangyu Wei, Rui Cheng, Jingmei Zhao, Qing Li* (2024). A Time-Varying, Feature-Rearranged Convolutional Neural Network for Option Pricing[J]. Journal of Derivatives, 2024, 32(2).
6. Yao Wang, Jingmei Zhao, Qing Li*, Xiangyu Wei (2024). Considering momentum spillover effects via graph neural network in option pricing[J]. Journal of Futures Markets, 2024, 44(6): 1069-1094.
7. Rong Xing, Rui Cheng, Jiwen Huang, Qing Li*, Jingmei Zhao (2023). Learning to understand the vague graph for stock prediction with momentum spillovers[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 36(4): 1698-1712.
8. Rong Xing, Rui Cheng, Jiwen Huang, Qing Li, Jingmei Zhao (2023). Learning to Understand the Vague Graph for Stock Prediction With Momentum Spillovers. IEEE Transactions on Knowledge and Data Engineering. doi:10.1109/TKDE.2023.3310592
9. Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu; Gang Kou (2023). Learning Bi-typed multi-relational heterogeneous graph via dual hierarchical attention networks[J]. IEEE Transactions on Knowledge and Data Engineering, 35(9): 9054-9066
10. Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Gang Kou (2023). Stock movement prediction based on bi-typed hybrid-relational market knowledge graph via dual attention networks[J]. IEEE Transactions on Knowledge and Data Engineering, 35(8)：8559-8571.
11. Yu Zhao, Han Zhou, Anxiang Zhang, Ruobing Xie, Qing Li, Fuzhen Zhuang (2022). Connecting embeddings based on multiplex relational graph attention networks for knowledge graph entity typing[J]. IEEE Transactions on Knowledge and Data Engineering, 35(5), 4608-4620.
12. Jiwen Huang, Rong Xing, Qing Li* (2022). Asset pricing via deep graph learning to incorporate heterogeneous predictors[J]. International Journal of Intelligent Systems, 37(11): 8462-8489.
13. Qing Li*, Jinghua Tan, Jun Wang, Hsinchu Chen (2021). A Multimodal Event-driven LSTM Model for Stock Prediction Using Online News. IEEE Transactions on Knowledge and Data Engineering, 33(10): 3323-3337.
14. Guanyuan Yu, Qing Li*, Jun Wang, Di Zhang, and Yuehao Liu (2020). A Multimodal Generative and Fusion Framework for Recognizing Faculty Homepages. Information Sciences, 525: 205-220.
15. Rong Xing, Qing Li, Jingmei Zhao, Xiaoqing Xu (2019). Media-based Corporate Network and Its Effects on Stock Market. Emerging Markets Finance and Trade, 57(15): 4211-4236.
16. Qing Li, Yan Chen, Jun Wang, Yuanzhu Chen, Hsinchu Chen (2018): Web Media and Stock Markets: A Survey and Future Directions from a Big Data Perspective. IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(2), 381-399.
17. Qing Li, Yuanzhu Chen, Lilin Jiang, Ping Li, Hsinchu Chen (2016): A Tensor-Based Information Framework for Predicting the Stock Market. ACM Transactions on Information Systems (TOIS), 34(2), 1-30.
18. Ling Liu, Jing Wu, Ping Li, Qing Li* (2015): A social-media-based approach to predicting stock comovement. Expert Systems with Applications, 42(8):3893-3901. (*Corresponding Author)
19. Qing Li, Tiejun Wang, Ping Li, Ling Liu, Qixu Gong, Yuanzhu Chen (2014): The effect of news and public mood on stock movements. Information Sciences, 278: 826-840.
20. Qing Li, Tiejun Wang, Qixu Gong, Yuanzhu Chen, Zhangxi Lin, Sa-kwang Song (2014): Media-aware quantitative trading based on public Web information. Decision Support Systems, 61: 93-105.
21. Qing Li, Jia Wang, Yuanzhu Peter Chen, Zhangxi Lin (2010): User comments for news recommendation in forum-based social media. Information Sciences,180(24):4929-4939.
22. Qing Li, Yuanzhu Peter Chen (2010): Personalized Text Snippet Extraction Using Statistical Language Models. Pattern Recognition, 43(1):378-386.
23. Qing Li, Yuanzhu Peter Chen, Sung-Hyon Myaeng, Yun Jin, and Bo-Yeong Kang (2009): Concept Unification of Terms in Different Languages via Web Mining for Information Retrieval. Information Processing & Management, 45(2):245-262.
24. K. Selcuk Candan, Mehmet E. Donderler, Terri Hedgpeth, Jongwook Kim, Qing Li, Maria Luisa Sapino (2009): SEA: Segment-Enrich-Annotate Paradigm for Adapting Digital Content for Improved Accessibility. ACM Transactions on Information Systems (TOIS), 27(3), 15:1-15:45.
25. Qing Li, Sung-Hyon Myaeng, Byeong Man Kim (2007): A Probabilistic Music Recommender Considering User Opinions and Audio Features. Information Processing & Management, 43(2):473-487.
26. Byeong Man Kim, Qing Li, Chang Seok Park, Si Gwan Kim, Ju Yeon Kim. A New Approach for Combining Content-based and Collaborative Filters. Journal of Intelligent Information System, 27(1):79-91.
……………………
代表性国际学术会议论文
1. Rui Cheng, XiangFei Jia, Qing Li*, Rong Xing, Jiwen Huang, Yu Zheng, Zhilong Xie (2025), FAT: Frequency-Aware Pretraining for Enhanced Time-Series Representation Learning, Proceedings of the 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD).
2. Rui Cheng, Qing Li* (2022)，Subsequence-based Graph Routing Network for Capturing Multiple Risk Propagation Processes，International Joint Conference on Artificial Intelligence, (IJCAI ).
3. Rui Cheng, Qing Li* (2021). Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks[C]//Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 35(1): 55-62.
4. Qing Li, Lilin Jiang, Ping Li, Hsinchun Chen (2015): Tensor-Based Learning for Predicting Stock Movements. Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), pp. 1784 -1790.
5. Matt Hamalainen, Qing Li, Zhangxi Lin, Alin Tomoiaga, Jia Wang (2011): An Idealet-Centric Scheme for Large Scale Open Innovation Systems. Exploring the Grand Challenges for Next Generation E-Business, Lecture Notes in Business Information Processing, pp.19-29.
6. Jia Wang, Qing Li, Yuanzhu Peter Chen (2010): Recommendation in Internet forums and blogs. Proceedings of the 48th Annual Meeting of the Association for Computational Linguistic (ACL), pp. 257-269. (Student Travel Award)
7. Jia Wang, Qing Li, Yuanzhu Peter Chen, Jiafen Liu, Chen Zhang, Zhangxi Lin (2010). News Recommendation in Forum-Based Social Media. Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI), pp. 1445-1454.
8. Jia Wang, Qing Li, Yuanzhu Peter Chen (2010). User Comments for News Recommendation in Social Media, Poster. Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
9. Qing Li, K. Selcuk Candan, Yan Qi (2008): Extracting Relevant Snippets for Web Navigation. Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI), p.1195-1200.
10. Qing Li, K. Selcuk Candan, Maria Goveas, Sangwoo Han, Terri Hedgpeth, Jongwook Kim, Atul Kolhatkar, and Maria Luisa Sapino (2007): OASIS System for Organizing, Annotating, and Serving Information to Students without Sight. Proceedings of International Conference on Technology based Learning with Disability (LWD).
11. Qing Li, Sung-Hyon Myaeng (2006): Concept Unification of Terms in Different Languages for IR. Proceedings of the 44th Annual Meeting of the Association for Computational Linguistic (ACL), pp.641- 648.
12. Byeong Man Kim, Qing Li, Adele E. Howe (2006): A Decentralized CF Approach Based on Cooperative Agents, Poster. Proceedings of the 15th International Conference on World Wide Web (WWW)
13. Qing Li, Byeong Man Kim, Sung-Hyon Myaeng (2005): Clustering for Probabilistic Model Estimation for CF. Poster, Proceedings of the 14th International Conference on World Wide Web (WWW).
14. Qing Li, Byeong Man Kim, Donghai Guan, and Duk whan Oh (2004): A Collaborative Music Recommender based on Audio Features, Poster, Proceedings of the 27th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). (Student Travel Award)
15. Byeong Man Kim, Qing Li (2004): Probabilistic Model Estimation for Collaborative Filtering Based on Items Attributes. Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence (WI), pp. 185-191. (Nominated Best Paper Award)
编辑书籍:
1. 李庆，王垚，金融科技（技术驱动金融服务业变革），机械工业出版社，2019/11
2. 谢志龙，李庆，Python应用基础，机械工业出版社，2021/07
学术专著：
1. 陈岩，李庆，基于大数据的证券市场财经信息效应研究，西南财经大学出版社，2023/05
2. 邢容，李庆，媒体关联与证券市场动量溢出效应研究——基于实证资产定价与深度学习视角，西南财经大学出版社，2023/04
3. 王俊，李庆，大数据视角下的数字化互动媒体对股票市场的影响研究，西南财经大学出版社，2020/11
主要科研项目
· 2021 – 2024 国家自然科学基金面上基金项目：面向证券市场风险波动的智能计算模型及关键技术研究 项目负责人
· 2017 – 2012 国家自然科学基金面上基金项目：基于大数据的互联网媒体对证券市场影响研究 项目负责人
· 2012 – 2015 国家自然科学基金面上基金项目：基于社会化媒体的网络信息无障碍关键技术研究 项目负责人
· 2009 – 2011 国家自然科学基金青年基金项目：面向视障用户的网络信息智能化处理关键技术研究 项目负责人
· 2012 – 2016 国家自然科学基金重大项目：可信网络交易软件系统试验环境与示范应用 主研人员
· 2011.11 – 2014.11 国家社会科学研究基金重点项目：创新型国家背景下的科技创新与金融创新结合问题研究 主研人员
