| Time | Oct 6 (Sun) | Oct 7 (Mon) | Oct 8 (Tue) | Oct 9 (Wed) | Oct 10 (Thu) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 8:00-9:00 | Breakfast | Breakfast | Breakfast | ||||||||
| 9:00-9:30 | Student Forum | Opening remarks & Best paper awards | Panel | ||||||||
| 9:30-10:30 | Plenary Session | Plenary Session | Plenary Session | ||||||||
| 10:30-11:00 | Coffee Break | Coffee Break | Coffee Break | Closing | |||||||
| 11:00-12:30 | Research I: Graph and networks | Applications I: Health and medicine | Special session: Learning from temporal data | Research IV: Data augmentation & Self-supervised learning | Applications III: Business and finance | Tutorial 2: Time Series Data Mining: A Unifying View | Research VII: Time series | JDSA & MLJ special issue | Tutorial 4: Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier | ||
| 12:30-14:00 | Lunch | Lunch | Lunch | ||||||||
| 14:00-15:30 | Research II: Clustering | Applications II: Distributed data analytics | Special session: Computational Imaging, Vision, and Language (CIVIL) | Research V: AI for health | Applications IV: Earth science | Special session: Private, Secure, and Trust Data Analytics (PSTDA) | Research VIII: Anomaly detection & Imbalanced learning | Applications V: Other applications | Special session: Smart City Data Analytics | ||
| 15:30-16:00 | Coffee Break | Coffee Break | Coffee Break | ||||||||
| 16:00-17:30 | Research III: Multi-modal multi-view analysis | Tutorial 1: Interpretable and Explainable Time Series Mining | Special session: Computational Imaging, Vision, and Language (CIVIL) | Research VI: Online social media analysis (misinformation, hate speech) | Tutorial 3: Architecture design: from neural networks to foundation models | Special session: Private, Secure, and Trust Data Analytics (PSTDA) | Research IX: Text analytics | Special session: Advancing Materials Science Through Data Science | Special session: Smart City Data Analytics | ||
| 18:30- | Reception | Dinner | |||||||||