上海财经大学计算机与人工智能学院教授，博士生导师。上海交通大学计算机应用技术专业博士毕业，美国西北大学访问学者。主要研究方向为人工智能、大模型和知识图谱在金融和经济领域的应用。主持和参加国家级和省部级项目10余项，大型企业项目数项。近年在国际顶会和知名期刊KDD、NeurIPS、AAAI、EMNLP、CIKM、KDS、FGCS、ECRA、CIE等发表学术论文50余篇。获上海市科技进步二等奖1项（3/10）、国家发明专利授权10项。指导学生获得国家和上海市计算机大赛一、二、三等奖近20项。多次获得上海财经大学校级嘉奖、先进工作者、“我心目中的好老师”等荣誉。
吉林大学，机械制造及自动化，本科，硕士
上海交通大学，计算机科学与技术系，博士
美国西北大学，计算机科学系，访问学者
Zixuan Chen, Songqiao Han, Hailiang Huang, You Wu. CPJN: news recommendation with a content and popularity joint network, Neural Networks.Vol185, 2025
Biyang Guo, He Wang, Wenyilin Xiao, Hong Chen, ZhuXin Lee, Songqiao Han, Hailiang Huang. Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), 2024,
Songqiao Han, Hailiang Huang, Xiaohong Huang, Yanhong Li, Ruihua Yu, Jun Zhang. Core patent forecasting based on graph neural networks with an application in stock markets. Technology Analysis & Strategic Management, Vol.36, No. 8, 2024.
Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao. ADGym: Design Choices for Deep Anomaly Detection, Advances in Neural Information Processing Systems (NeurIPS 2023), 2023
Mingqi Jiang, Songqiao Han, Hailiang Huang. Anomaly Detection with Score Distribution Discrimination, The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), 2023
Ke Chen, Songqiao Han, Hailiang Huang, Min Ji. A group-dependent due window assignment scheduling problem with controllable learning effect. Asia-Pacific Journal of Operational Research, 2023
Songqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, Yue Zhao. Adbench: Anomaly detection benchmark. Advances in Neural Information Processing Systems (NeurIPS 2022), 35, pp.32142-32159, 2022. (Google Scholar引用数500+)
Ziyuan Wang, Hailiang Huang, and Songqiao Han. IDEA: Interactive Double Attentions from Label Embedding for Text Classification. In 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI 2022), pp. 233-238. IEEE, 2022.
Wei Chen, Songqiao Han, Hailiang Huang. An Empirical Cross Domain-Specific Entity Recognition with Domain Vector. Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM 2022), 2022
Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, and Ting Lu. Label Confusion Learning to Enhance Text Classification Models. Proceedings of the AAAI Conference on Artificial Intelligence, 35(14), 12929-12936, 2021.
XinyueWang, SongqiaoHan. Optimal operation and subsidies/penalties strategies of a multi-period hybrid system with uncertain return under cap-and-trade policy. Computers & Industrial Engineering, Vol.150, pp.1-15, December 2020.
Songqiao Han, Hailiang Huang, Yuqing Tang. Knowledge of words: An interpretable approach for personality recognition from social media. Knowledge-Based Systems. Vol. 194, pp.1-20, April 2020.
Songqiao Han, Xiaoling Hao, Hailiang Huang. An event-extraction approach for business analysis from online Chinese news, Electronic Commerce Research and Applications, Vol. 28, pp. 244-260, 2018.
Songqiao Han, Xiaoling Hao, Hailiang Huang, Songxin Wang, Yong Zhang. Location-based Service Composition Algorithm in a Wireless Ad hoc Network, Applied Mathematics and Information Sciences, Vol.9, No. 6, pp.3109-3118, 2015.
Songqiao Han, Yong Zhang. An Intelligent Service Collaboration Algorithm for Wireless Sensor Networks, Sensor Letters, Volume 9, Number 4, pp.1485-1489, 2011.
Songqiao Han, Shensheng Zhang, Jian Cao, Ye Wen, and Yong Zhang. A resource aware software partitioning algorithm based on mobility constraints in pervasive grid environments. Future Generation Computer Systems, Elsevier Science, 2008, 24(6), pp.512-529.
陈信元, 何贤杰, 邹汝康, 韩松乔. 基于大数据的企业“第四张报表”：理论分析、数据实现与研究机会, 管理科学学报，2023
国家自然科学基金重点项目子课题1，数据资产的价值创造、会计实现及其经济后果研究
国家自然科学基金项目，移动自组网中基于QoS和资源节约的分布式服务组合关键技术研究
上海市科委创新行动重点项目，基于大数据的新媒体广告策略优化关键技术研究
上海市科委项目，基于用户画像的证券投资和运营管理智能决策模型研究
上海市优秀青年教师科研专项基金项目，移动商务中服务自适应性及其关键技术研究
国家自然科学基金重大研究计划培育项目：基于大数据的中国资本市场全息社会网络深度挖掘及研究
国家自然科学基金项目：基于大数据的“第四张报表”构建及其应用研究
国家自然科学基金项目：个人数据开放自主决策支持：可解释的隐私安全与数据效用权衡的多策略组合优化研究
研究生必修课：大数据平台与技术
本科生必修课：操作系统、Web程序设计、综合设计实验
本科生选修课：Python程序设计，大数据处理技术
韩松乔，黄海量，郝晓玲，Python编程基础与数据分析，清华大学出版社，2025
个人获上海财经大学“我心目中的好老师”、“校级嘉奖”、“校先进工作者”等
作为团队主要成员获上海市科技进步二等奖、上海市“教学成果一等奖”
指导学生获“中国大学生计算机设计大赛”和“上海市大学生计算机应用大赛”一、二、三等奖数十项
