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2025-07-13 星期日

B会议室 Meeting Room B

08:30-10:10 | CS024: Advances in Statistical Modeling and Inference for Complex Data Structures CS024: Advances in Statistical Modeling and Inference for Complex Data Structures
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
10:30-12:10 | CS002: Advances in Generative Modeling and Bayesian Computation CS002: Advances in Generative Modeling and Bayesian Computation
编号 时间 类型 题目 讲者 单位
1 10:30-10:55 贡献报告

Likelihood Matching for Diffusion Models

钱 磊 北京大学
Contributed Talk

Likelihood Matching for Diffusion Models

Lei Qian Peking University
2 10:55-11:20 贡献报告

Generalization error bounds of gradient descent for learning a three-layer Vision Transformer

程学伟 湖南师范大学
Contributed Talk

Generalization error bounds of gradient descent for learning a three-layer Vision Transformer

Xuewei Cheng Hunan Normal University
3 11:20-11:45 贡献报告

Functional Gradient Flows for Constrained Sampling

张师悦 北京大学
Contributed Talk

Functional Gradient Flows for Constrained Sampling

Shiyue Zhang Peking University
4 11:45-12:10 贡献报告

Variational bagging: a robust approach for Bayesian uncertainty quantification

Shitao Fan University of Maryland
Contributed Talk

Variational bagging: a robust approach for Bayesian uncertainty quantification

Shitao Fan University of Maryland
13:30-15:10 | CS037: Advances in Deep Learning Architectures and Applications CS037: Advances in Deep Learning Architectures and Applications
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
15:30-17:10 | CS045: Advanced Learning Methods for Complex Decision Systems CS045: Advanced Learning Methods for Complex Decision Systems
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