Program at a Glance


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