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  • 2026-07-11 [Saturday]
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  • 2026-07-13 [Monday]
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  • Executive Meeting Room, 12th Floor, Qunsheng Howard Johnson
  • Meeting Room, 1st Floor, Qunsheng Garden Hotel
  • Yangming Conference Room, 3rd Floor, Duocai Hotel

2026-07-13 (Monday)

Songbai Mountains Multifunctional Meeting Room (UTC+8)

08:30-10:10 (UTC+8) | Applications of Omics Technology to Uncover Human Disease Pathogenesis
NO. Beijing Time (UTC+8) Type Presentation Topic Speaker Affiliation / Organization
1 08:30-08:55 Invited Talk

人群多组学数据的计算建模与复杂疾病易感机制解析

Lei Li ‌Shenzhen Bay Laboratory
2 09:20-09:45 Invited Talk

脑衰老细胞图谱构建的统计挑战

Shiquan Sun Xi'an Jiaotong University
3 09:45-10:10 Invited Talk

中国人群DNA甲基化遗传调控图谱的构建与应用

Chaolong Wang Huazhong University of Science and Technology‌
4 10:10-10:35 Invited Talk

时空蛋白质组构建虚拟细胞

Rui Sun Westlake University
10:30-12:10 (UTC+8) | Large Cohort, Big Data and Disease Precision Prevention
NO. Beijing Time (UTC+8) Type Presentation Topic Speaker Affiliation / Organization
1 10:30-10:55 Invited Talk

基于CKB队列心电图数据的多疾病风险预测深度学习模型

Canqing Yu Peking University
2 10:55-11:20 Invited Talk

多队列多组学数据赋能肺癌精准风险评估

Ruyang Zhang Nanjing Medical University
3 11:20-11:45 Invited Talk

基于珠江队列的环境暴露健康因果效应探索

Wangjian Zhang Sun Yat-sen University‌
4 11:45-12:10 Invited Talk

基于鄞州百万人群的肺癌风险预测模型集成新方法

Yongyue Wei Peking University
13:30-15:10 (UTC+8) | Recent Advances of Morden Machine Learning
NO. Beijing Time (UTC+8) Type Presentation Topic Speaker Affiliation / Organization
1 13:55-14:20 Invited Talk

Trix Models with Rotationally Invariant Noise: AMP Algorithms and Optimality

Junjie Ma Chinese Academy of Scienes
2 14:20-14:45 Invited Talk

Distribution Matching for Self-Supervised Transfer Learning

Wensen Ma The Hong Kong Polytechnic University (PolyU)
3 14:45-15:10 Invited Talk

对称性先验嵌入的深度学习

Qi Xie Xi'an Jiaotong University
4 15:10-15:35 Invited Talk

Semi-Supervised Conditional Generative Learning through Stochastic Interpolation and Sufficient Representations

Changyu Liu
15:30-17:10 (UTC+8) | Statistical and Machine Learning Methods for Brain Signals and BCI
NO. Beijing Time (UTC+8) Type Presentation Topic Speaker Affiliation / Organization
1 15:30-15:55 Invited Talk

Residual Covariance Unlocks Robust Mapping of Dynamic Causal Brain Network

Peifeng Tong Tsinghua University
2 15:55-16:20 Invited Talk

Functional Regression on Product Manifolds with Application to Continuous Brain Connectivity

Lu Wang Central South University
3 16:20-16:45 Invited Talk

Modeling and Forecasting Sleep Dynamics based on Joint Representation–Prediction Learning

Guokun Zhang Tsinghua University
4 16:45-17:10 Invited Talk

Bayesian Inference of a Spectral Graph Model for Brain Oscillations

Huaqing Jin Tsinghua University