Jiaao He
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it
- Optimization & Training — 20 citations into it
- Hardware and Architecture — 19 citations into it
- ML Systems & Hardware — 19 citations into it
- Computer Networks and Communications — 11 citations into it
- Model Architectures — 11 citations into it
- Electrical and Electronic Engineering — 7 citations into it
Whom Jiaao He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Noam Shazeer
- Kaiming He
- Yoshua Bengio
- Karen Simonyan
- Ilya Sutskever
- Diederik P. Kingma
- Ashish Vaswani
- Jacob Devlin
Who trusts Jiaao He overall
Papers from Jiaao He's perspective
Ordered by how strongly the researchers Jiaao He trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- FastMoE: A Fast Mixture-of-Expert Training System (2021) — 148 citations
- Heterogeneity-Aware Asynchronous Decentralized Training (2019) — 8 citations
- FasterMoE: modeling and optimizing training of large-scale dynamic pre-trained models (2022) — 157 citations