Shuhao Fu
Program Postdoctoral Fellow starting in late July 2025
Shuhao Fu is interested in understanding how AI can achieve human-like relational reasoning and compositional understanding. His research draws from cognitive science and machine learning, with a focus on bridging the gap between human and machine reasoning.
During his Ph.D. he explored analogical reasoning in deep learning and structural models, demonstrating that domain-general structural models align more closely with human cognition. More recently, he has been investigating explicit relational representations in vision and multimodal models, examining how AI can move beyond object-centric representations to more structured scene understanding.
At SFI, he hopes to explore broader questions about how relational knowledge is represented and learned in both humans and AI, with potential applications in compositional generalization and multimodal reasoning. Shuhao received his B.S. in Computer Science and Mathematics from the Hong Kong University of Science and Technology in 2019.
He is currently completing his Ph.D. in Psychology at the University of California, Los Angeles, where he is advised by Professors Hongjing Lu and Ying Nian Wu.