编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 08:30-08:50 | 贡献报告 |
Urban Traffic Flow Forecasting Based on Multi-Graph Fusion and Spatial-Temporal Attention Mechanism |
唐兵兵 | 贵州财经大学 |
Contributed Talk |
Urban Traffic Flow Forecasting Based on Multi-Graph Fusion and Spatial-Temporal Attention Mechanism |
Bingbing Tang | Guizhou University of Finance and Economics | ||
2 | 08:50-09:10 | 贡献报告 |
Enhancing Temporal Knowledge Graph Prediction through Multi-task Transformer and Structured Count Representation |
田香妮 | 云南大学 |
Contributed Talk |
Enhancing Temporal Knowledge Graph Prediction through Multi-task Transformer and Structured Count Representation |
Xiangni Tian | Yunnan University | ||
3 | 09:10-09:30 | 贡献报告 |
REdeepAR: 一种用于股票预测的集成方法 |
郑天琦 | 中央民族大学 |
Contributed Talk |
REdeepAR: 一种用于股票预测的集成方法 |
Tianqi Zheng | Minzu University of China | ||
4 | 09:30-09:50 | 贡献报告 |
基于时变参数向量自回归(TVP-VAR)与深度学习模型的汇率溢出效应的动态预测 |
刘 娟 | 湖南工学院 |
Contributed Talk |
基于时变参数向量自回归(TVP-VAR)与深度学习模型的汇率溢出效应的动态预测 |
Juan Liu | Hunan Institute of Technology | ||
5 | 09:50-10:10 | 贡献报告 |
多源数据驱动下基于TCN-LSTM-ABKDE模型的黄金期货价格区间预测研究 |
魏 琛 | 兰州财经大学 |
Contributed Talk |
多源数据驱动下基于TCN-LSTM-ABKDE模型的黄金期货价格区间预测研究 |
Chen Wei | Lanzhou University of Finance and Economics |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 10:30-10:50 | 贡献报告 |
Individualized Dynamic Mediation Analysis Using Latent Factor Models |
张一骄 | 复旦大学 |
Contributed Talk |
Individualized Dynamic Mediation Analysis Using Latent Factor Models |
Yijiao Zhang | Fudan University | ||
2 | 10:50-11:10 | 贡献报告 |
Dysfunction in the hierarchy of morphometric similarity network in Alzheimer’s disease and its correlation with cognitive performance and gene expression profiles |
郑楚楚 | 山西医科大学 |
Contributed Talk |
Dysfunction in the hierarchy of morphometric similarity network in Alzheimer’s disease and its correlation with cognitive performance and gene expression profiles |
Chuchu Zheng | Shanxi Medical University | ||
3 | 11:10-11:30 | 贡献报告 |
Causal Inference for a Hidden Treatment |
Ying Zhou | University of Connecticut |
Contributed Talk |
Causal Inference for a Hidden Treatment |
Ying Zhou | University of Connecticut | ||
4 | 11:30-11:50 | 贡献报告 |
A Debiased High-dimensional Regression Calibration Method for Errors-in-variables Log-contrast Models |
赵花丽 | 清华大学 |
Contributed Talk |
A Debiased High-dimensional Regression Calibration Method for Errors-in-variables Log-contrast Models |
Huali Zhao | Tsinghua University | ||
5 | 11:50-12:10 | 贡献报告 |
SVEM: Stochastic Variational EM Algorithm for High Dimensional Multinomial Data |
张书聪 | 对外经济贸易大学 |
Contributed Talk |
SVEM: Stochastic Variational EM Algorithm for High Dimensional Multinomial Data |
Shucong Zhang | University of International Business and Economics |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 13:30-13:50 | 贡献报告 |
基于孟德尔随机化的防晒行为、晒黑容易程度与泛肿瘤的因果推断及中介效应分析 |
唐迪尔 | 香港大学数学系 |
Contributed Talk |
基于孟德尔随机化的防晒行为、晒黑容易程度与泛肿瘤的因果推断及中介效应分析 |
Dier Tang | The University of Hong Kong | ||
2 | 13:50-14:10 | 贡献报告 |
Bayesian Simultaneous Credible Bands for Polynomial Regression |
Fei Yang | The University of Manchester |
Contributed Talk |
Bayesian Simultaneous Credible Bands for Polynomial Regression |
Fei Yang | The University of Manchester | ||
3 | 14:10-14:30 | 贡献报告 |
Online Kernel Projection for Ordinary Differential Equations in Diabetes Management |
马 莉 | 厦门大学 |
Contributed Talk |
Online Kernel Projection for Ordinary Differential Equations in Diabetes Management |
Li Ma | Xiamen University | ||
4 | 14:30-14:50 | 贡献报告 |
Joint Modeling Approach for censored predictors in generalized linear model due to detection limit with applications to metabolites data |
李凤雪 | Tulane University |
Contributed Talk |
Joint Modeling Approach for censored predictors in generalized linear model due to detection limit with applications to metabolites data |
Fengxue Li | Tulane University | ||
5 | 14:50-15:10 | 贡献报告 |
Multi-omic genetic scores for risk prediction of complex human diseases |
单娜阳 | 首都经济贸易大学 |
Contributed Talk |
Multi-omic genetic scores for risk prediction of complex human diseases |
Nayang Shan | Capital University of Economics and Business |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 15:30-15:50 | 贡献报告 |
Nonparametric tests of predictive variable with treatment interaction in randomized experiments |
青琨海 | 华东师范大学 |
Contributed Talk |
Nonparametric tests of predictive variable with treatment interaction in randomized experiments |
Kunhai Qing | East China Normal University | ||
2 | 15:50-16:10 | 贡献报告 |
Sparse minimum distance kernel estimation for high-dimensional linear models |
王明秋 | 曲阜师范大学 |
Contributed Talk |
Sparse minimum distance kernel estimation for high-dimensional linear models |
Mingqiu Wang | Qufu Normal University | ||
3 | 16:10-16:30 | 贡献报告 |
X-chromosome Multilocus Association Studies for Common and Rare Variants |
陈 博 | 南开大学 |
Contributed Talk |
X-chromosome Multilocus Association Studies for Common and Rare Variants |
Bo Chen | Nankai University | ||
4 | 16:30-16:50 | 贡献报告 |
Integrative analysis of microbial 16S gene and shotgun metagenomic sequencing data improves statistical efficiency in testing differential abundance |
毛一聪 | 北京大学 |
Contributed Talk |
Integrative analysis of microbial 16S gene and shotgun metagenomic sequencing data improves statistical efficiency in testing differential abundance |
Yicong Mao | Peking University | ||
5 | 16:50-17:10 | 贡献报告 |
模型选择在估计最优动态治疗方案中的应用 |
王春雨 | 浙江大学 |
Contributed Talk |
模型选择在估计最优动态治疗方案中的应用 |
Chunyu Wang | Zhejiang University |