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- 2026-07-11 [星期六]
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- 2026-07-13 [星期一]
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2026-07-13 星期一
Songbai Mountains Multifunctional Meeting Room
08:30-10:10
| Applications of Omics Technology to Uncover Human Disease Pathogenesis
| 编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
|---|---|---|---|---|---|
| 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 | 08:55-09:20 | Invited Talk |
时空蛋白质组构建虚拟细胞 |
Rui Sun | Westlake University |
| 3 | 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 |
| 4 | 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 |
10:30-12:10
| Large Cohort, Big Data and Disease Precision Prevention
| 编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
|---|---|---|---|---|---|
| 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
| Recent Advances of Modern Machine Learning
| 编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
|---|---|---|---|---|---|
| 1 | 13:30-13:55 | Invited Talk |
Semi-Supervised Conditional Generative Learning through Stochastic Interpolation and Sufficient Representations |
Changyu Liu | Wuhan University |
| 2 | 13:55-14:20 | Invited Talk |
Trix Models with Rotationally Invariant Noise: AMP Algorithms and Optimality |
Junjie Ma | Chinese Academy of Sciences |
| 3 | 14:20-14:45 | Invited Talk |
Distribution Matching for Self-Supervised Transfer Learning |
Wensen Ma | The Hong Kong Polytechnic University |
| 4 | 14:45-15:10 | Invited Talk |
对称性先验嵌入的深度学习 |
Qi Xie | Xi'an Jiaotong University |
15:30-17:10
| Statistical and Machine Learning Methods for Brain Signals and BCI
| 编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
|---|---|---|---|---|---|
| 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 |
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