汕头大学商学院讲师，硕士研究生导师，中央财经大学经济学博士。研究方向包括金融资产定价与经济绿色发展，已在Energy Economics、Energy、Expert Systems with Applications、Economic Analysis and Policy、Scientific Data、Journal of Forecasting等权威期刊发表学术论文10余篇，曾参与多项国家自然科学基金项目。

中央财经大学  经济学博士

贵州大学     金融硕士

华南理工大学  土木工程学士

研究方向主要包括绿色发展与资产定价；

研究方法主要包括大语言模型、机器学习、深度学习、图神经网络、可解释性算法、复杂网络等。

本科：机器学习与自然语言处理、财务管理与Python实现

研究生：机器学习

代表论文：

[1]Zhou, Y., Cai, X., Yu, J., & Ji, X. (2026). Climate target announcements as catalysts for artificial intelligence advancement. Energy Economics, 157, 109247. (SSCI, JCR Q1,中科院一区 Top, IF 13.5, 通讯作者)

[2]Yu, J., Cai, X.*, Ji, X., Liang, L., & Yang, J. (2025). Promoting urban energy transitions: Lessons from interpretable machine learning with evidence from China. Energy, 334, 137812. (SCI, JCR Q1,中科院一区 Top, IF 9.4, 共同一作)

[3]Liang, L., & Cai, X*. (2022). Time-sequencing European options and pricing with deep learning–Analyzing based on interpretable ALE method. Expert Systems with Applications, 187, 115951. (SCI, JCR Q1, 中科院一区 Top, IF 7.5, 通讯作者)

[4]Cai, X., & Liu, P*. (2026). Customer-country climate policy and supplier carbon emission intensity: Evidence from global supply chains. Economic Analysis and Policy, 94, 1198～1215. (SSCI, JCR Q1, 中科院二区 Top, IF 9, 第一作者)

[5]Shen, Y., Wang, Y., He, J., Zhang, Y., Shi, X., Cai, X., Yu, J., & Li, Y. (2026). Global Dataset of the Energy Transition Vulnerability Index 2000-2023. Scientific Data, 13(1), 1119. (SCI, JCR Q1, 中科院二区, IF 7.2, 通讯作者)

[6]Liang, L., Liu, B., Su, Z.*, & Cai, X*. (2024), Forecasting corporate financial performance with deep learning and interpretable ALE method: Evidence from China. Journal of Forecasting. (SSCI, JCR Q1, IF 3.4, 通讯作者)

[7]Liang, L., & Cai, X. (2020). Forecasting peer-to-peer platform default rate with LSTM neural network. Electronic Commerce Research and Applications, 43, 100997. (SSCI, SCI, JCR Q1, IF 5.9)

[8]Wang, Y., Su, Z., Cai, X. *, & Yu, J. (2025). The dual carbon emission effects of digital economy: Evidence from China. Heliyon, 11(4). (SCI, JCR Q1, IF 3.4, 通讯作者)

[9]Liang, L., Liu, J., & Cai, X. * (2025). Multi-frequency markets correlation of carbon prices: Evidence from interpretable deep learning. Journal of the Asia Pacific Economy, 1～41. (SSCI, JCR Q3, IF 1.5, 通讯作者)

[10]Su, Z., Cai, X., & Wu, Y*. (2023). Exchange rates forecasting and trend analysis after the COVID-19 outbreak: new evidence from interpretable machine learning. Applied Economics Letters, 30(15), 2052-2059. (SSCI, JCR Q3, IF 1.2)

[11]Yu, J., Cai, X.*, Su, Z. (2025). Drivers of Energy Transitions and Future Trends: Evidence from East Asian Countries. In: Phoumin, H., Shi, X., Kimura, F. (eds) Navigating the Complexities of Energy Transitions in East Asia. Climate Change and Energy Transition. Springer, Singapore. (专著章节，通讯作者)