
- 基本资料
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姓名:温佳奇 职称:副教授 性别:女 政治面貌:群众 出生年月日:1998.04 学历:工学博士 - 研究方向
- 金融科技,算法交易,金融市场微观结构,复杂网络系统
- 教育背景
2021.03-2024.07,悉尼科技大学计算机科学与技术(分析学)专业,工学博士
- 工作经历
2023.12-2025.02,悉尼科技大学计算机科学学院,博士后
2025.03至今,国产主播 ,副教授
- 社会任职
- 主讲课程
- 代表性学术成果
[1]Zhang, J., Wen, J., & Chen, J. (2023). Modeling Market Fluctuations under Investor Sentiment with a Hawkes-Contact process. The European Journal of Finance, 29(1), 17–32.
[2]Wen, J., Zhang, J., & Houser, D. (2024). Agent-based Modeling of Stock Market Manipulation: An Experiment in China. Available at SSRN 4863876.
[3]Zhang, J., Wen, J., & Yang, Z. (2022). China’s GDP Forecasting Using Long Short Term Memory Recurrent Neural Network and Hidden Markov Model. Plos One, 17(6), 1–26.
[4]Zhang, J., Cai, K., & Wen, J. (2023). A Survey of Deep Learning Applications in Cryptocurrency. iScience.
[5]Zhang, J., Gui, W., & Wen, J. (2022). China’s policy similarity evaluation using LDA model: An experimental analysis in Hebei province. Journal of Information Science, 0(0), 01655515221097858.
[6]Wen, J., Gabrys, B., & Musial, K. (2024). DTCNS: A Python Toolbox for Digital Twin-Oriented Complex Networked Systems. SoftwareX, 27, 101818.
[7]Wen, J., Gabrys, B., & Musial, K. (2024). Evolutionary Digital Twin-Oriented Complex Networked Systems Driven by Node Features and the Mutation of Feature Preferences. Plos One, 19(5), e0303571.
[8]Wen, J., Gabrys, B., & Musial, K. (2024). Towards Digital Twin-Oriented Complex Networked Systems: Introducing Heterogeneous Node Features and Interaction Rules. Plos One, 19(1), e0296426.
[9]Wen, J., Gabrys, B., & Musial, K. (2024). Fuzzy Feature Representation for Digital Twin-Oriented Social Network Simulators. In Proceedings of the 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, 2024, pp. 1–8.
- 主要科研课题
- 获得荣誉