Yibo Zhang

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it; #19,951 of 21,575 by trust here, #10,500 by citations
• Artificial Intelligence — 19 citations into it
• Model Architectures — 9 citations into it
• Optimization & Training — 9 citations into it

Whom Yibo Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Diederik P. Kingma
3. X. Zhang
4. Joseph W. Goodman
5. Geoffrey E. Hinton
6. Shaoqing Ren
7. Alex Krizhevsky
8. Chao Dong
9. J. Urgen Schmidhuber
10. Yann LeCun

Who trusts Yibo Zhang overall

1. Yair Rivenson
2. George Barbastathis
3. Yifan Peng

Papers from Yibo Zhang's perspective

Ordered by how strongly the researchers Yibo Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Synthetic aperture-based on-chip microscopy (2015) — 233 citations
• Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning (2018) — 612 citations
• PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learning (2018) — 388 citations
• Deep Learning Microscopy: Enhancing Resolution, Field-of-View and Depth-of-Field of Optical Microscopy Images Using Neural Networks (2017) — 403 citations
• Phase recovery and holographic image reconstruction using deep learning in neural networks (2017) — 955 citations