编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 13:30-13:50 | 贡献报告 |
Intersubject functional variability of gray and white matter in autism spectrum disorder |
赵 维 | 湖南师范大学 |
Contributed Talk |
Intersubject functional variability of gray and white matter in autism spectrum disorder |
Wei Zhao | Hunan Normal university | ||
2 | 13:50-14:10 | 贡献报告 |
Designing Trials with Multiple Objectives with Graphical Approach for Multiple Scenarios |
Samuel Wu | University of South Florida |
Contributed Talk |
Designing Trials with Multiple Objectives using Graphical Approach for Multiple Scenarios |
Samuel Wu | University of South Florida | ||
3 | 14:10-14:30 | 贡献报告 |
Compound Poisson mixed models for subject-specific multivariate data with left censoring |
Guohua Yan | University of New Brunswick |
Contributed Talk |
Compound Poisson mixed models for subject-specific multivariate data with left censoring |
Guohua Yan | University of New Brunswick | ||
4 | 14:30-14:50 | 贡献报告 |
基于相似性动态利用多个真实世界数据源进行疗效估计 |
龙美桦 | 北京大学 |
Contributed Talk |
基于相似性动态利用多个真实世界数据源进行疗效估计 |
Meihua Long | Peking University | ||
5 | 14:50-15:10 | 贡献报告 |
Double Optimal Transport for Differential Gene Regulatory Network Inference with Unpaired Samples |
李梦雨 | 中国人民大学 |
Contributed Talk |
Double Optimal Transport for Differential Gene Regulatory Network Inference with Unpaired Samples |
Mengyu Li | Renmin University of China |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 15:30-15:50 | 贡献报告 |
Detecting Food Adulteration Using chemical test and Graph-based Semi Supervised Framework |
白同元 | 北师香港浸会大学 |
Contributed Talk |
Detecting Food Adulteration Using chemical test and Graph-based Semi Supervised Framework |
Tongyuan Bai | Beijing Normal - Hongkong Baptist University | ||
2 | 15:50-16:10 | 贡献报告 |
Exploring Heavy-Tailed Data in EDA: Visualization Strategies with R Package DeepWater |
薛雨晴 | 天津中医药大学 |
Contributed Talk |
Exploring Heavy-Tailed Data in EDA: Visualization Strategies with R Package DeepWater |
Yuqing Xue | Tianjin University of Traditional Chinese Medicine | ||
3 | 16:10-16:30 | 贡献报告 |
保形预测框架下的心电去噪对抗生成与因果推断的整合 |
王 星 | STAT SCHOOL,RENMIN UNIVERISTY OF CHINA |
Contributed Talk |
保形预测框架下的心电去噪对抗生成与因果推断的整合 |
Xing Wang | STAT SCHOOL,RENMIN UNIVERISTY OF CHINA | ||
4 | 16:30-16:50 | 贡献报告 |
运用人工智能大语言模型技术构建基于空间转录组数据的计算细胞模型 |
曹晟昊 | 上海交通大学 |
Contributed Talk |
运用人工智能大语言模型技术构建基于空间转录组数据的计算细胞模型 |
Shenghao Cao | Shanghai Jiao Tong University | ||
5 | 16:50-17:10 | 贡献报告 |
Regime-specific Return Predictability in Quantiles |
谢昕伶 | 西南财经大学 |
Contributed Talk |
Regime-specific Return Predictability in Quantiles |
Xinling Xie | Southwestern University of Finance and Economics |