Professors and courses[TO BE COMPLETED]

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

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

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

Mingyi Hong
[intermediate] Bilevel Optimization: Theory, Algorithms and Application in AI

Cho-Jui Hsieh
[intermediate/advanced] Optimizers for Large Language Model Training

Furong Huang
[advanced] Generative AI Agents

Tara Javidi
[intermediate] Active Physical Intelligence for Industrial Scale Monitoring

Zhijin Qin
[intermediate/advanced] Semantic Communications

Aarti Singh
[intermediate] Human Centered AI: Challenges and Opportunities

Masashi Sugiyama
[intermediate] Learning from Imperfect Supervision

Atlas Wang
[intermediate/advanced] Beyond Sparsity or Low Rank: In-Between Neural and Symbolic Learning

Ming-Hsuan Yang
[advanced] Recent Advances in Multimodal Understanding and Generation

Tong Zhang
[introductory/intermediate] Reinforcement Learning for Foundation Models

Jun Zhu
[introductory/advanced] Generative Models: from Virtual to Physical World