一、教育背景：

2023.09 - 2024.08，香港科技大学 & 美国佐治亚理工学院，博士后

2019.09 - 2023.09，香港科技大学，工业工程与决策分析，哲学博士

2015.09 - 2019.06，中国科学技术大学，统计学，理学学士

二、研究方向：

统计质量控制，机器学习，时空数据分析，工业大数据

三、教授课程：

数据可视化

四、学术成果：

[1] Li, M., Li, Z., Sun, L., Tsung, F. (2024). Enabling Tensor Decomposition for Time-Series Classification via A Simple Pseudo-Laplacian Contrast. arXiv preprint arXiv:2409.15200

[2] Cheng, J., Li, M., Li, J., & Tsung, F. (2023). Wiener graph deconvolutional network improves graph self-supervised learning. In Proceedings of the AAAI conference on artificial intelligence (Vol. 37, No. 6, pp. 7131-7139).

[3] Lan, T., Li, Z., Li, Z., Bai, L., Li, M., Tsung, F., ... & Zhang, C. (2023). Mm-dag: Multi-task dag learning for multi-modal data-with application for traffic congestion analysis. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 1188-1199).

[4] Li, M. (2021). BERT-based Dynamic Clustering of Subway Stations Using Flow Information. In Proceedings of the IEEE 37th International Conference on Data Engineering (ICDE) (pp. 2762-2765).