Yuheng Bu's research interests lie in the intersection of machine learning, information theory, and signal processing. He leverages the tools from information theory and statistical signal processing to foundational machine-learning problems to develop theoretically justified algorithms for diverse applications, including watermarking generative AI, fair machine learning, uncertainty quantification, and model compression.