Xiangqian Wang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Safety, Robustness & Interpretability — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Xiangqian Wang trusts overall

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

1. Alex Krizhevsky
2. Dan Hendrycks
3. Kaiming He
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Sergey Ioffe
7. Yoshua Bengio
8. Yann LeCun
9. Christian Szegedy
10. Jimmy Ba

Papers from Xiangqian Wang's perspective

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

Their papers

• Adversarial Reciprocal Points Learning for Open Set Recognition (2021) — 466 citations