Zeyu Yang

Master student
Rice CS
Computational Wellbeing Group
Email: zy45 [at] rice (dot) edu
Google Scholar / GitHub / Twitter

Zeyu Yang earned his master of data science degree from Rice University in 2023, under the mentorship of Professor Akane Sano and Professor Joe Warren. His main area of research interest is machine learning, with a focus on generative modeling and digital health. During his undergraduate, he worked closely with Professor Hao Wang in optimization and energy systems.

Balanced mixed-type tabular data synthesis with diffusion models
Zeyu Yang, Peikun Guo , Khadija Zanna, and Akane Sano
In prepration
[Website]

Network-aware asynchronous distributed ADMM algorithm for smart home peer-to-peer energy trading
Zeyu Yang and Hao Wang
Preprint (submitted to IEEE Sensors Journal)
[Paper]

PlotNet: a Python toolbox for interactive visualization of neural networks
Zeyu Yang and Joe Warren
[Code]

Deep learning based GUI for bird detection in drone images
Zeyu Yang, Ben Daecher, Jose Mata, and Jiehui Li
[Report] [Code] [Video]

Rice University
Graduate Teaching Assistant:

1. Course: Data Visualization (COMP 665, Graduate Level)
   Description: Data is being generated by humans and algorithms at an astounding rate. Having the ability to analyze and interpret this data visually is a key technique for coping with this explosion. This class will cover the basic ways that various types of data can be visualized and what properties distinguish useful visualizations from not so useful ones. The class will use Python as both the primary tool for processing the data as well creating visualizations of this data. To enhance the students' depth of knowledge, the class will also cover some of the geometric algorithms used to create advanced visualizations.
   Semester: Spring 2023, Fall 2022, Summer 2022, Spring 2022
   Instructor: Professor Joe Warren