Learning Materials

I am collecting learning materials (related to my research and teaching) that simplify abstract concepts and are easy for starters to learn, along with toy code to play with (if available).

• Group Convolution Neural Networks (CNNs) (by Mr. Wenhan Gao)
  
[Blog] [Slides] [Toy Code]

• Geometric Graph Neural Networks (GNNs) (by Mr. Wenhan Gao)
  
[Blog] [Slides] [Toy Code]

• Group Averaging & Frame Averaging (by Mr. Wenhan Gao)
  
[Blog] [Slides] [Toy Code 1, 2]

• Introduction to Deep Generative Models (by Mr. Wenhan Gao)
  
[Blog]

• Principal Component Analysis (PCA) and Autoencoders (by Dr. Shuiwang Ji)
  
[Blog] [Slides]

• Attention, Transformers, and Large Language Models (LLMs) (by Dr. Shuiwang Ji)
  
[Slides]

• Flow Matching and Diffusion Models (by Peter E. Holderrieth and Ezra Erives from MIT)
  
[Blog] [Slides] [Toy Code]

Courses

• AMS 380: Data Mining, 2025 Spring, Stony Brook
  
Time & Location: Monday and Wednesday, 3:30 – 4:50 pm, 101 Javits Lecture Center
Office Hours: Monday and Wednesday, 2:00 – 3:00 pm

• AMS 598: Big Data Analysis, 2024 Fall, Stony Brook
  
Time & Location: Tuesday and Thursday, 12:30 – 1:50 pm, 111 Javits Lecture Center
Office Hours: Tuesday, 3:00 – 5:00 pm

• AMS 380: Data Mining, 2024 Spring, Stony Brook
  
Time & Location: Monday and Wednesday, 2:30 – 3:50 pm, 201 Heavy Engineering Bldg
Office Hours: Monday and Wednesday, 4:30 – 5:30 pm

• AMS 691.03: Deep Learning, 2023 Fall, Stony Brook
  
Time & Location: Tuesday and Thursday, 10:00 – 11:20 am, 2311 Old Computer Science Bldg
Office Hours: Tuesday and Thursday, 4:00 – 5:00 pm

• COT 5405: Advanced Algorithms, 2023 Spring, FSU
  
Time & Location: Tuesday and Thursday, 9:45 – 11:00 am, 307 Love Building
Office Hours: Tuesday and Thursday, 4:00 – 5:00 pm

• CAP 5619: Deep and Reinforcement Learning Fundamentals, 2022 Fall, FSU
  
Time & Location: Tuesday and Thursday, 1:20 – 2:35 pm, 103 Love Building
Office Hours: Tuesday and Thursday, 4:00 – 5:00 pm