编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 08:30-08:50 | 贡献报告 |
Estimation for partially linear additive spatial autoregressive model with covariate measurement errors and missing response variables under restricted conditions |
郑晓倩 | 安徽大学 |
Contributed Talk |
Estimation for partially linear additive spatial autoregressive model with covariate measurement errors and missing response variables under restricted conditions |
Xiaoqian Zheng | Anhui University | ||
2 | 08:50-09:10 | 贡献报告 |
A unified approach to Gaussian process modeling with qualitative and quantitative factors |
邓淋穗 | 香港中文大学(深圳) |
Contributed Talk |
A unified approach to Gaussian process modeling with qualitative and quantitative factors |
Linsui Deng | The Chinese University of Hong Kong, Shenzhen | ||
3 | 09:10-09:30 | 贡献报告 |
An Online Change Point Detection Algorithm Based on Local Outlier Factor Weighted Mechanism |
初人杰 | 浙江财经大学 |
Contributed Talk |
An Online Change Point Detection Algorithm Based on Local Outlier Factor Weighted Mechanism |
Renjie Chu | Zhejiang University of Finance and Economics | ||
4 | 09:30-09:50 | 贡献报告 |
Revisiting a Theorem of JP Kahane on Random Covering in R^d. |
Jixin Wang | Imperial College London |
Contributed Talk |
The Joint Law of the Terminal Value, Running Maximum and Running Minimum of a Scalar Diffusion Process with Time-Inhomogeneous Drift |
Jixin Wang | Imperial College London | ||
5 | 09:50-10:10 | 贡献报告 |
Adaptive Closed Testing with E‑values for Simultaneous False Discovery Proportion Control |
何京城 | 浙江大学数据科学中心 |
Contributed Talk |
Adaptive Closed Testing with E‑values for Simultaneous False Discovery Proportion Control |
Jingcheng He | Zhejiang University |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 10:30-10:55 | 邀请报告 |
Privacy protection and statistical efficiency trade-off for federated learning |
亓颢博 | 北京师范大学 |
Invited Talk |
Privacy protection and statistical efficiency trade-off for federated learning |
Haobo Qi | Beijing Normal University | ||
2 | 10:55-11:20 | 邀请报告 |
Covariance estimation for high-dimensional tensor data |
孙浩轩 | 北京大学 |
Invited Talk |
Covariance estimation for high-dimensional tensor data |
Hao-Xuan Sun | Peking University | ||
3 | 11:20-11:45 | 邀请报告 |
High Dimensional Multigrid Ensemble Kalman Filter with Optimal Selection |
王守霞 | 上海财经大学 |
Invited Talk |
High Dimensional Multigrid Ensemble Kalman Filter with Optimal Selection |
Shouxia Wang | Shanghai University of Finance and Economics | ||
4 | 11:45-12:10 | 邀请报告 |
Privacy-Protected Spatial Autoregressive Models with Applications |
伍书缘 | 上海财经大学 |
Invited Talk |
Privacy-Protected Spatial Autoregressive Models with Applications |
Shuyuan Wu | Shanghai University of Finance and Economics |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 13:30-13:50 | 贡献报告 |
Fine-tuning diffusion processes with function approximations: a PDE learning approach |
Wenlong Mou | University of Toronto |
Contributed Talk |
Fine-tuning diffusion processes with function approximations: a PDE learning approach |
Wenlong Mou | University of Toronto | ||
2 | 13:50-14:10 | 贡献报告 |
3D CT Image Segmentation Using the U-TES Framework |
田济东 | 中山大学 |
Contributed Talk |
3D CT Image Segmentation Using the U-TES Framework |
Jidong Tian | Sun Yat-sen University | ||
3 | 14:10-14:30 | 贡献报告 |
聚焦损失函数的深度聚类方法研究与展望 |
黄晓波 | 贵州财经大学 |
Contributed Talk |
聚焦损失函数的深度聚类方法研究与展望 |
Xiaobo Huang | Guizhou University of Finance and Economics | ||
4 | 14:30-14:50 | 贡献报告 |
A Multi-Modal Bearing Fault Diagnosis Model Based on Multi-Scale Mamba Gating and Dynamic Low-Rank Multi-Head Cross Attention |
孙光鹏 | 北方民族大学 |
Contributed Talk |
A Multi-Modal Bearing Fault Diagnosis Model Based on Multi-Scale Mamba Gating and Dynamic Low-Rank Multi-Head Cross Attention |
Guangpeng Sun | North Minzu University | ||
5 | 14:50-15:10 | 贡献报告 |
Double-Penalty Supervised AutoEncoder and Its Extension in Mixed-Frequency Processing: An Optimal Dimensional Reducer for Stock Returns Forecasting? |
韩琦玮 | 浙江工商大学统计与数学学院 |
Contributed Talk |
Double-Penalty Supervised AutoEncoder and Its Extension in Mixed-Frequency Processing: An Optimal Dimensional Reducer for Stock Returns Forecasting? |
Qiwei Han | School of Statistics and Mathematics, Zhejiang Gongshang University |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 15:30-15:50 | 贡献报告 |
基于异质注意力图神经网络的中国股市高频交易量预测研究 |
葛少华 | 中南财经政法大学 |
Contributed Talk |
基于异质注意力图神经网络的中国股市高频交易量预测研究 |
Shaohua Ge | Zhongnan University of Economics and Law | ||
2 | 15:50-16:10 | 贡献报告 |
住房反向抵押保险定价机制优化研究 |
卢 媛 | 海南大学 |
Contributed Talk |
住房反向抵押保险定价机制优化研究 |
Yuan Lu | Hainan University | ||
3 | 16:10-16:30 | 贡献报告 |
基于组合机器学习模型的我国长期护理保险产品定价策略 |
程恭品 | 南京财经大学 |
Contributed Talk |
基于组合机器学习模型的我国长期护理保险产品定价策略 |
Gongpin Cheng | Nanjing University of Finance and Economics | ||
4 | 16:30-16:50 | 贡献报告 |
A Nudging-based Ocean Data Assimilation System Using Blocked Ensemble Kalman Filter with Multiple Inflation |
王昺皓 | 北京大学 |
Contributed Talk |
A Nudging-based Ocean Data Assimilation System Using Blocked Ensemble Kalman Filter with Multiple Inflation |
Binghao Wang | Peking University | ||
5 | 16:50-17:10 | 贡献报告 |
人工智能的职业替代风险研究 ——基于XGBoost-SHAP的多维特征非线性效应分析 |
钟钰雯 | 江西财经大学 |
Contributed Talk |
人工智能的职业替代风险研究 ——基于XGBoost-SHAP的多维特征非线性效应分析 |
Yuwen Zhong | Jiangxi University of Finance and Economics |