Bo Zhu
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 12 citations into it
- Radiology, Nuclear Medicine and Imaging — 12 citations into it; #1,828 of 3,265 by trust here, #1,332 by citations
- Model Architectures — 9 citations into it
- Artificial Intelligence — 7 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
- Computational Mechanics — 5 citations into it
Whom Bo Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Pascal Vincent
- Diederik P. Kingma
- Vinod Nair
- Sepp Hochreiter
- L. V. D. van der Maaten
- Jia Deng
- Alex Krizhevsky
- Hugo Larochelle
Who trusts Bo Zhu overall
- Arvid Lundervold
- Jong Chul Ye
- Yang Song
- Greg Zaharchuk
- Ahmed Hosny
- Liyue Shen
- Enhao Gong
- Greg Ongie
- Berkman Sahiner
- Mauricio Reyes
Papers from Bo Zhu's perspective
Ordered by how strongly the researchers Bo Zhu 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- MR fingerprinting Deep RecOnstruction NEtwork (DRONE) (2017) — 297 citations
- Image reconstruction by domain-transform manifold learning (2017) — 1,685 citations