Keynote speakers

Convergence Theory: How Fast Do Discrete Diffusion Models Generate?

Towards AI-Driven Digital Organism: A System of Multiscale Foundation Models for Biology

[intermediate] Synthetic Data Generation and Learning from Imbalanced Data: From SMOTE to LLMs

Jianfei Chen (Tsinghua University), [intermediate] Efficient Large Model Training and Inference

[introductory/intermediate] Statistical and Algorithmic Foundations of Reinforcement Learning

[introductory/intermediate] Trustworthy Machine Learning from Data to Models

[intermediate] Structure-Guided, Theme-Based Knowledge Discovery with Large Language Models

[intermediate] Bilevel Optimization: Theory, Algorithms, and Applications in Machine Learning and Foundation Models

[intermediate/advanced] Optimizers for Large Language Model Training

[advanced] Generative AI Agents

[intermediate] Active Physical Intelligence: Integrated Multimodal Sensing, Controlled Inference, and Spatio-Temporal Attention

[intermediate] Time Series Foundation Models: From Forecasting to Reasoning

[intermediate/advanced] Token-Based Semantic Communications

[intermediate] Human Centered AI: Challenges and Opportunities

[introductory/intermediate] Introduction to the Theory of Learning with Transformers

[introductory/intermediate] Long-Horizon Agentic Intelligence

[advanced] Recent Advances in Multimodal Understanding and Generation

[introductory/intermediate] Reinforcement Learning for Large Language Models