Kai-Wei Chang
Kai-Wei Chang
Computer Science

Kai-Wei Chang

Professor

I am an associate professor in the Department of Computer Science at the UCLA Samueli School of Engineering. My research goal is to build intelligence systems that solve real-world problems by automatically acquiring knowledge. This challenging goal involves two fundamental components: A machine learning component that can efficiently make coherent decisions for problems with complex structures, and a natural language understanding component that enables the system to extract knowledge from unstructured text. I have been published broadly in machine learning, natural language processing, artificial intelligence, and data mining.

Faculty Information

Research and Interests
  • Statistical approaches to natural language processing
  • Tractable machine learning methods for complex and big data
Notable Publications and Books
In the News
Education
Experience and Education (Curriculum Vitae)
Awards and Recognition
Courses
CS 146 Introduction to Machine Learning