Qianjun Zhang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it; #12,014 of 21,575 by trust here, #20,271 by citations
• Representation & Self-Supervised Learning — 11 citations into it
• Generative Models — 6 citations into it; #1,100 of 1,956 by trust here, #1,902 by citations

Whom Qianjun Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Yann LeCun
5. Ruslan Salakhutdinov
6. Honglak Lee
7. Hugo Larochelle
8. Andrew Y. Ng
9. Pascal Vincent
10. Adam Coates

Who trusts Qianjun Zhang overall

1. Zengyi Li
2. Yubei Chen
3. Friedrich T. Sommer
4. Yang Song

Papers from Qianjun Zhang's perspective

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

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

Their papers

• Convolutional adaptive denoising autoencoders for hierarchical feature extraction (2018) — 25 citations