Dr. Jiajun Wu

Biography

Jiajun Wu is an Assistant Professor in the Department of Computer Science at Stanford University. His research focuses on physical scene understanding, aiming to enable machines to see, reason, and interact with the physical world. Wu's work involves developing learning algorithms and levels of abstraction necessary for artificial intelligence systems to create meaningful representations of real-world phenomena. His research is inspired by the human cognition process and seeks to answer fundamental questions about perception and understanding. Wu's projects include initiatives such as Galileo, MarrNet, and the Neuro-Symbolic Concept Learner, which explore the application of visual, acoustic, and tactile signals in understanding environments. Additionally, he investigates representations and applications in areas like visual reasoning and robotics, working on innovative concepts such as 3D-GAN and NS-VQA. Wu has previously completed his PhD at MIT where he was advised by Bill Freeman and has also studied at Tsinghua University. He collaborates with notable researchers and is part of various research groups advancing AI technologies.

Research Interests