基本信息
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| 通讯地址： | 邮编： |
教育背景
2018/09-2023/06 北京交通大学，统计学，博士
2015/09-2018/06 贵州大学，数学，硕士
2011/09-2015/06 河北经贸大学，统计学，学士
工作经历
2023/09-至今，北京交通大学，数学与统计学院，师资博士后，合作导师：孔令臣教授
2023/10-至今，中国石油大学（北京）克拉玛依校区，文理学院，博士后，合作导师：孔令臣教授
研究方向
招生专业
科研项目
- 自然科学横向项目: 基于联邦学习的数据隐私优化算法研究, 2024-2025
- 自然科学横向项目: 基于深度学习的聚类分析算法研究, 2023-2024
教学工作
论文/期刊
[12] Zhang W., Wang X.*, Huang G. (2025). Bounds on the difference between the eccentric distance sum and the degree distance of graphs [J]. Filomat, Accept.
[11] Wang X., Zhao H., Fan J., Kong L.*, Wang L. (2025). Robust personalized federated Learning for high-dimensional linear regression [J]. Under review.
[10] Wang X., Zhao H., Zhou Z., Kong L.* (2024). Adaptive Lq regularized estimation for high-dimensional sparse covariance matrix [J]. Under review.
[9] Zhao, H., Wang, X., Qi, H., Kong, L.* (2024). An exact penalty method for group sparse portfolio selection [J]. Under review.
[8] Zhao, H., Wang, X., Kong, L.* (2025). Proximal distance algorithms for sparse portfolio selections [J]. Journal of the Operations Research Society of China. 2025, 1-32. DOI :10.1007/s40305-025-00594-z.
[7] Wang, X., Zhao H., Zhang W.* and Yang Z. (2024). A robust federated learning with bounded gaussian mechanism [C]. 2024 IEEE 17th International Conference on Signal Processing. 2024, 564-569, DOI: 10.1109/ICSP62129.2024.10846338.
[6] Wang, X., Kong, L.*, Wang, L. (2024). Estimation of sparse covariance matrix via non-convex regularization [J]. Journal of Multivariate Analysis, 202:105294.
[5] Wang, X., Kong, L.*, Zhuang, X., Wang, L. (2024). Variance estimation in high-dimensional linear regression via adaptive elastic-net [J]. Journal of Industrial and Management Optimization, 20(2):630-646.
[4] 王鑫, 孔令臣*, 王力群. 高维协方差矩阵的估计问题 [J]. 运筹学学报，2024.
[3] Wang, X., Kong, L.*, Wang, L. (2023). Numerical optimization and computation for second-order least squares estimation [J]. Pacific Journal of Optimization, 19:315-334.
[2] Wang, X.*, Kong, L., Wang, L. (2023). High-dimensional covariance estimation via constrained Lq-type regularization [J]. Mathematics, 11(4):1022.
[1] Wang, X., Kong, L.*, Wang, L. (2022). Estimation of error variance in regularized regression models via adaptive lasso [J]. Mathematics, 10(11):1937.