Bin Zheng

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 2 papers; trusts 144 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 178 citations into it
• Artificial Intelligence — 141 citations into it; #29,004 of 35,345 by trust here, #25,809 by citations
• Representation & Self-Supervised Learning — 40 citations into it

Whom Bin Zheng trusts overall

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

1. Yoshua Bengio
2. Rasmus Berg Palm
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Diederik P. Kingma
7. Yann LeCun
8. Ross B. Girshick
9. Ilya Sutskever
10. Karen Simonyan

Who trusts Bin Zheng overall

1. A. Asuntha
2. Pieter Van Molle

Papers from Bin Zheng's perspective

Ordered by how strongly the researchers Bin Zheng 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. Long Short-Term Memory
4. ImageNet: A large-scale hierarchical image database
5. ImageNet Large Scale Visual Recognition Challenge
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Recent advances and clinical applications of deep learning in medical image analysis (2021) — 981 citations
• Computer aided lung cancer diagnosis with deep learning algorithms (2016) — 304 citations