His research in computer vision focuses on image and video understanding through big visual data, human computation, and large-scale machine learning. He has built datasets and tools used by over 1,000 researchers around the world. His work has won the ICCV Marr Prize and the ECCV Best Paper Award, and has been featured in popular press such as the New York Times and MIT Technology Review. He received his PhD from Princeton University and his B.Eng. from Tsinghua University, both in computer science. He has been co-organizing the ImageNet Large Scale Visual Recognition Challenges (ILSVRC) since 2010. He was also the lead organizer of the BigVision workshops at NIPS 2012 and CVPR 2014.