学术研究领域

机器学习；教育大数据；海洋统计；信号处理

荣誉称号和社会团体兼职

无

讲授课程

《概率论》《概率论与数理统计学》《多元统计》《python设计模式》《Flask-Web开发》

科研情况

代表性论文有：

[1] A Mixed Convolution Neural Network for Bathymetric Prediction from Multi-source Gravity Anomalies, 2026+

[2] Chao W., Jiahao Zeng., Ziwei D., Xiangyong T., Xiaohui L. Constraining Seafloor Topography Inversion with Sediment Thickness: A Geologically Informed Extension of the Parker-Oldenburg Method, 2026+

[3] Luting H., Chao W., Xiaohui L. The Enhanced Varying-Density Parker-Oldenburg Method for Moho and Seafloor Imaging, 2026+

[4] Chao W., Bo L, Xiaohui L. Consistence Condition of Kernel Selection In Regular Linear Kernel Regression And Its Application In Covid-19 Detection, 2026+

[5] Ziwei D., Xiaohui L., Chao W. Digital Bathymetric Model Fusion Using Vertical Gravity Gradient: A Bayesian Approach. Marine Geodesy, 2026

[6] Chao W., Meng L., Xiaohui L., Shangchun L. ABCNN: Abundance-Constrained Convolutional Neural Networkfor Robust Seafloor Bathymetry Modeling, Marine Geophysical Research, 2026.

[7] Chao W., Luting H., Jiahao Z., Xiaohui L. pyParkO: A Python implementation ofthe Parker-Oldenburg method for seafloor topography inversion from gravity anomalies, Computers &Geosciences, 2026, 211

[8] Tianying H., Xiaohui L., Chao W., Zhixin Y., Chao D., Huan X. GravityGeological Method for Seafloor Topography Inversion Considering Spatial Heterogeneity, Marine Geodesy, 2025

[9] Chao W., Bo L., Lei W. and Pai P. Improving Boosting Methods With A Stable Loss Function Handling Outliers, Journal of Machine Learning and Cybernetic, 2023

[10] Chao W., Bo L.，Lei W. Regular Kernel Method for State Space Model. Acta mathematica scientia,Series A, 2023, 42(3): 881-890.

[11] Chao W., Luting H., Bo L. Numerical Study on the Deviation of the Bianchi Model in Dual/Triple BSS Systems (revised). Acta mathematica scientia, Series A, 2026.

[12] 王超, 梁豪, 李波. 基于分位数回归模型的物流分拣中心短期货运量预测与风险量化研究[J]. 统计学与应用, 2025, 14(11): 382-393.

[13] 王超，彭湃，李波.舆情短文本挖掘的语言概率模型及其神经网络算法实现[J].数学建模及其应 用,2018(3).

[14] 李波, 王磊, 王超. 大数据环境下精准教育的数学模型与若干问题[J]. 数学建模及其应用,2017(4)

[15] 梁豪, 王超, 李波. 自媒体平台中的用户亚群分类分析方法研究[J]. ASDS 2025, 1(9), 69–74

指导学生情况

曾指导研究生参与华为杯数学建模比赛获一等奖（2023），统计建模大赛二等奖（2024）；指导本科生参与江西省大学生创业计划竞赛获铜奖（2024），江西财经大学中国国际大学生创新大赛校内选拔赛二等奖（2024）指导学生发表论文多篇。

其它情况

主持省级自然科学基金青年项目1项，主持教育部人文社科青年项目1项，参与国家自然科学基金为重大研究项目1项，参与完成面上项目4项。