高嘉璐

高嘉璐，特聘副研究员。澳门科技大学智能科学与系统博士。研究方向：时间序列分析、数据挖掘与人工智能算法。

2023.02—2026.04 澳门科技大学 创新工程学院 智能科学与系统博士

2020.09—2023.01 东北财经大学 统计学院   统计学硕士

2016.09—2020.06 东北财经大学 统计学院   经济统计学学士

聚焦能源系统、环境保护与资产配置等领域，开展统计建模与智能技术相结合的融合性创新研究。

[1] Jialu Gao, Jianzhou Wang*, Yilin Zhou, MengzhengLv, and Danxiang Wei, “Enhancing investment performance of Black-Litterman model with AI hybrid system: Can it be done?,” Expert Systems with Applications, vol. 244, p. 122924, 2024. (SCI Q1, IF: 7.5)

[2] Jialu Gao, Jianzhou Wang*, Danxiang Wei, and He Jiang, “Combined interval prediction algorithm based on optimal relevancy, redundancy and synergy,” Applied Mathematical Modelling, vol. 123, pp. 566–589, 2023. (SCI Q1, IF: 5.1)

[3] Jialu Gao, Jianzhou Wang*, Danxiang Wei, and Bo Zeng, “An innovative decision-making system integrating multifractal analysis and volatility forecasting,” Annals of Operations Research, pp. 1–43, 2024. (SCI Q1, IF: 4.5, ABS 3)

[4] Jianzhou Wang, Jialu Gao*, and Danxiang Wei, “Electric load prediction based on a novel combined interval forecasting system,” Applied Energy, vol. 322, p. 119420, 2022. (SCI Q1, IF: 11)

[5] Yan Hao, Yilin Zhou, Jialu Gao*, and Jianzhou Wang, “A novel air pollutant concentration prediction system based on decomposition-ensemble mode and multi-objective optimization for environmental system management,” Systems, vol. 10, no. 5, p. 139, 2022. (SCI Q1, IF: 3.1)