Courses

• EECS 559: Optimization Methods for Signal and Image Processing and Machine Learning (Winter 2021-2024)
• EECS 453: Principles of Machine Learning (Fall 2021-2024)

Short Courses/Tutorials

• CVPR’24 Tutorial on Learning Deep Low-Dimensional Models from High-Dimensional Data: From Theory to Practice
• ICASSP’24 Tutorial on Understanding Deep Representation Learning via Neural Collapse (Lecture 1, Lecture 2)
• CPAL’24 Tutorial on Learning Deep Low-dimensional Models from High-Dimensional Data: From Theory to Practice
• ICASSP’23 Short Educational Course: Learning Nonlinear and Deep Low-Dimensional Representations from High-Dimensional Data: From Theory to Practice
• ACDL’23 Lectures on Low-Dimensional Models for Deep Learning
• ICASSP’22 Short Educational Course: Low-Dimensional Models for High-Dimensional Data: From Linear to Nonlinear, Convex to Nonconvex, and Shallow to Deep

K12 Summer Camp

• AI Magic Summer Camp on Generative AI.