| HO-6 | Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases | Hands-on | Sunday, August 25 | 10:00 AM – 1:00 PM |
| HO-7 | A Tutorial on Multi-Armed Bandit Applications for Large Language Models | Hands-on | Sunday, August 25 | 10:00 AM – 1:00 PM |
| LS-1 | A Review of Graph Neural Networks in Epidemic Modeling | Lecture-Style | Sunday, August 25 | 10:00 AM – 1:00 PM |
| LS-3 | Advances in Human Event Modeling: From Graph Neural Networks to Language Models | Lecture-Style | Sunday, August 25 | 10:00 AM – 1:00 PM |
| LS-4 | Automated Mining of Structured Knowledge from Text in the Era of Large Language Models | Lecture-Style | Sunday, August 25 | 10:00 AM – 1:00 PM |
| LS-5 | Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era | Lecture-Style | Sunday, August 25 | 10:00 AM – 1:00 PM |
| LS-7 | Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text | Lecture-Style | Sunday, August 25 | 10:00 AM – 1:00 PM |
| LS-8 | Explainable Artificial Intelligence on Biosignals for Clinical Decision Support | Lecture-Style | Sunday, August 25 | 10:00 AM – 1:00 PM |
| LS-10 | Graph Intelligence with Large Language Models and Prompt Learning | Lecture-Style | Sunday, August 25 | 10:00 AM – 1:00 PM |
| LS-13 | Heterogeneous Contrastive Learning for Foundation Models and Beyond | Lecture-Style | Sunday, August 25 | 10:00 AM – 1:00 PM |
| LS-16 | Modern Recommender Systems Leveraging Generative AI: Fundamentals, Challenges and Opportunities | Lecture-Style | Sunday, August 25 | 10:00 AM – 1:00 PM |
| LS-17 | Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Tutorial | Lecture-Style | Sunday, August 25 | 10:00 AM – 1:00 PM |
| LS-18 | RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models | Lecture-Style | Sunday, August 25 | 10:00 AM – 1:00 PM |
| LS-20 | Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine Learning | Lecture-Style | Sunday, August 25 | 10:00 AM – 1:00 PM |
| LS-23 | Symbolic Regression: A Pathway to Interpretability Towards Automated Scientific Discovery | Lecture-Style | Sunday, August 25 | 10:00 AM – 1:00 PM |
| HO-8 | Domain-Driven LLM Development: Insights into RAG and Fine-Tuning Practices | Hands-on | Sunday, August 25 | 2:00 PM – 5:00 PM |
| HO-9 | Tutorial on Graph Reasoning with LLMs (GReaL) | Hands-on | Sunday, August 25 | 2:00 PM – 5:00 PM |
| LS-2 | A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide | Lecture-Style | Sunday, August 25 | 2:00 PM – 5:00 PM |
| LS-6 | Causal Inference with Latent Variables: Recent Advances and Future Prospectives | Lecture-Style | Sunday, August 25 | 2:00 PM – 5:00 PM |
| LS-11 | Graph Machine Learning Meets Multi-Table Relational Data | Lecture-Style | Sunday, August 25 | 2:00 PM – 5:00 PM |
| LS-14 | Inference Optimization of Foundation Models on AI Accelerators | Lecture-Style | Sunday, August 25 | 2:00 PM – 5:00 PM |
| LS-15 | Large Language Models for Graphs: Progresses and Directions | Lecture-Style | Sunday, August 25 | 2:00 PM – 5:00 PM |
| LS-19 | Reasoning and Planning with Large Language Models in Code Development | Lecture-Style | Sunday, August 25 | 2:00 PM – 5:00 PM |
| LS-21 | Safe Multi-Modal Machine Learning | Lecture-Style | Sunday, August 25 | 2:00 PM – 5:00 PM |
| LS-25 | Towards Urban General Intelligence Through Urban Foundation Models | Lecture-Style | Sunday, August 25 | 2:00 PM – 5:00 PM |
| HO-1 | Practical Machine Learning for Streaming Data | Hands-on | Monday, August 26 | 10:00 AM – 1:00 PM |
| HO-4 | Breaking Barriers: A Hands-On Tutorial on AI-Enabled Accessibility to Social Media Content | Hands-on | Monday, August 26 | 10:00 AM – 1:00 PM |
| HO-2 | A Hands-on Introduction to Time Series Classification and Regression | Hands-on | Monday, August 26 | 2:00 PM – 5:00 PM |
| HO-3 | DARE to Diversify: DAta Driven and Diverse LLM REd Teaming | Hands-on | Monday, August 26 | 2:00 PM – 5:00 PM |
| LS-12 | Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned | Lecture-Style | Monday, August 26 | 2:00 PM – 5:00 PM |
| HO-5 | Privacy-Preserving Federated Learning using Flower Framework | Hands-on | Thursday, August 29 | 10:00 AM – 1:00 PM |
| LS-9 | Foundation Models for Time Series Analysis: A Tutorial and Survey | Lecture-Style | Thursday, August 29 | 11:00 AM – 3:00 PM |
| LS-22 | Sharing is Caring: A practical guide to FAIR(ER) open data release | Lecture-Style | Thursday, August 29 | 11:00 AM – 3:00 PM |
| LS-24 | Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods | Lecture-Style | Thursday, August 29 | 11:00 AM – 3:00 PM |
