Kaiming He is a Chinese computer scientist and engineer. He is currently a research scientist at Facebook AI Research (FAIR). He is also an adjunct professor at the National University of Singapore. He is known for his work on deep learning, and he is one of the co-inventors of ResNet, which is a popular deep learning architecture.
He received his Ph.D. in computer science from the University of Tsinghua in 2014. He then joined Google Brain as a research scientist. In 2017, he joined FAIR. He has published over 100 papers in top academic conferences and journals. He is a recipient of the 2019 ACM SIGKDD Innovations Award.
He is a leading expert in deep learning, and his work has had a significant impact on the field. He is also a strong advocate for open science, and he has made his research code and data publicly available.
Here are some of his notable contributions to the field of deep learning:
- ResNet: He is one of the co-inventors of ResNet, which is a popular deep learning architecture. ResNets have achieved state-of-the-art results on a variety of tasks, including image classification, object detection, and natural language processing.
- Deep Residual Learning for Image Recognition: This paper introduced ResNets and demonstrated their effectiveness on image classification.
- Identity Mappings in Deep Residual Networks: This paper introduced the concept of identity mappings, which are a key component of ResNets.
- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition: This paper introduced spatial pyramid pooling, which is a technique for improving the performance of convolutional neural networks on object detection and segmentation tasks.
He is a leading figure in the field of deep learning, and his work is helping to shape the future of artificial intelligence.