Zepeng Huo
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 46 citations into it
- Computer Vision and Pattern Recognition — 33 citations into it
- Probabilistic & Bayesian Methods — 15 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Optimization & Training — 7 citations into it
Whom Zepeng Huo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Yann LeCun
- Rahaf Aljundi
- Yoshua Bengio
- Max Welling
- Ilya Sutskever
- Radford M. Neal
Papers from Zepeng Huo's perspective
Ordered by how strongly the researchers Zepeng Huo 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge