Xiao Zeng
Computer Vision and Pattern Recognition · with Zhang · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 268 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 79 citations into it; #15,822 of 21,575 by trust here, #18,782 by citations
- Artificial Intelligence — 76 citations into it
- Neural Architecture Search & AutoML — 25 citations into it
- Efficiency & Compression — 17 citations into it
- Model Architectures — 17 citations into it
- Representation & Self-Supervised Learning — 16 citations into it
- Optimization & Training — 11 citations into it
- Graph Learning — 10 citations into it
Whom Xiao Zeng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Karen Simonyan
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Andrew Zisserman
- Ronald J. Williams
Who trusts Xiao Zeng overall
Papers from Xiao Zeng's perspective
Ordered by how strongly the researchers Xiao Zeng 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking (2019) — 22 citations
- Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? (2020) — 126 citations
- NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision (2018) — 305 citations