师资队伍/郑羽金融科技、金融工程与风险管理郑羽教授郑羽，教授。研究方向包括金融科技、人工智能、云原生计算和金融工程。金融科技人工智能云原生计算金融工程教育背景2013—2017年，英国帝国理工学院，数量金融博士2009—2010年，英国约克大学，数学金融硕士2004—2008年，东华大学，工学、金融学双学士论文发表Bowei Chen, Yufei Huang, Yu Zheng, and Xiaofeng Liu. From prediction to prevention: Using text mining and explainable machine learning for urban bus accident analytics. Risk Analysis, 2026.Rui Cheng, Xiangfei Jia, Qing Li, Rong Xing, Jiwen Huang, Yu Zheng, and Zhilong Xie. FAT: Frequency-Aware Pretraining for Enhanced Time-Series Representation Learning. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Vol. 2, 2025.Yu Zheng, Yongxin Yang, and Bowei Chen. Incorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface Prediction. Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021.Yu Zheng, Bowei Chen, Timothy Hospedales, and Yongxin Yang. Index tracking with cardinality constraints: A stochastic neural networks approach. Proceedings of the AAAI Conference on Artificial Intelligence, 34(1), 2020.Yu Zheng, Timothy Hospedales, and Yongxin Yang. Diversity and Sparsity: A New Perspective on Index Tracking. ICASSP 2020—2020 IEEE International Conference on Acoustics, Speech and Signal Processing, 2020.Yongxin Yang, Yu Zheng, and Timothy Hospedales. Gated neural networks for option pricing: Rationality by design. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1), 2017.Zefu Chen, Yu Zheng, et al. PhenoApt leverages clinical expertise to prioritize candidate genes via machine learning. American Journal of Human Genetics, 109(2), 270–281, 2022.Jiaqi Liu, Hengqiang Zhao, Yu Zheng, et al. DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data. Genome Medicine, 14, 21, 2022.专业方向金融科技人工智能云原生计算金融工程研究专长机器学习时间序列建模智能金融系统主要获奖四川省“天府峨眉计划”高层次人才成都市“蓉漂计划”高层次人才← 返回师资队伍返回学院首页 →
