Qixiang Zhang

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Optimization & Training — 7 citations into it
• Model Architectures — 6 citations into it

Whom Qixiang Zhang trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. L. Eon Bottou
4. Geoffrey E. Hinton
5. Christian Szegedy
6. Sergey Ioffe
7. Karen Simonyan
8. Yoshua Bengio
9. Ilya Sutskever
10. Sepp Hochreiter

Who trusts Qixiang Zhang overall

1. Shipeng Wang
2. S. H. Shabbeer Basha
3. Simone Magistri
4. Sameer Wagh

Papers from Qixiang Zhang's perspective

Ordered by how strongly the researchers Qixiang 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Tiny ImageNet Challenge (2017)