Hongyang Zhang

Hongyang Zhang is an Assistant Professor of Computer Science at UT Austin. His research focuses on machine learning and efficient AI inference, with an emphasis on developing principled algorithms that improve the efficiency, reliability, and capabilities of AI systems. He received his Ph.D. in Machine Learning from Carnegie Mellon University and served as an Assistant Professor of Computer Science at the University of Waterloo. His work on EAGLE advances large language model inference, and his TRADES paper was recognized among the top 10 most influential papers at ICML from 2019 to 2024.