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 |