Kevin Chenchuan Chang

Kevin Chenchuan Chang is a Professor of Computer Science at the University of Illinois Urbana-Champaign, where he has been on the faculty since 2001. He received his Ph.D. in Electrical Engineering from Stanford University and his Bachelor's degree from National Taiwan University. His research focuses on data management, information retrieval, and machine learning, with recent work on natural language processing, including coordinated topic modeling, definition modeling for jargon, and privacy leakage in large pre-trained language models. He has also explored graph-based similarity search, such as SimRank. Chang has received the ICDE 10-Year Test of Time Award and multiple teaching excellence awards. He collaborates extensively with institutions across the US, Asia, and Europe.