Peifeng Yu
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it; #24,331 of 35,345 by trust here, #30,347 by citations
- Computer Networks and Communications — 10 citations into it
- Information Systems — 9 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it; #15,083 of 21,575 by trust here, #19,766 by citations
Whom Peifeng Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Ilya Sutskever
- Geoffrey E. Hinton
- Yann LeCun
- Max Welling
- Yoshua Bengio
- Oriol Vinyals
- Alex Krizhevsky
- Yanghua Peng
- Daniel Crankshaw
Who trusts Peifeng Yu overall
Papers from Peifeng Yu's perspective
Ordered by how strongly the researchers Peifeng Yu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Datacenter-Scale Analysis and Optimization of GPU Machine Learning Workloads (2021) — 22 citations
- Fine-Grained GPU Sharing Primitives for Deep Learning Applications (2020) — 59 citations
- Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications (2019) — 95 citations