Guoqing Jin

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #29,931 of 35,345 by trust here, #20,377 by citations
• Safety, Robustness & Interpretability — 17 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it; #18,392 of 21,575 by trust here, #13,542 by citations

Whom Guoqing Jin trusts overall

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

1. Alex Krizhevsky
2. Nicolas Papernot
3. Diederik P. Kingma
4. Kaiming He
5. Ian J. Goodfellow
6. Geoffrey E. Hinton
7. Christian Szegedy
8. Nicholas Carlini
9. Yann LeCun
10. Yoshua Bengio

Who trusts Guoqing Jin overall

1. Nicholas Carlini
2. David Stutz
3. Lukas Schott
4. Ali Shafahi
5. Kui Ren
6. Lucy Chai
7. Matthias Hein
8. David A. Wagner
9. Jonas Rauber
10. Tianhang Zheng

Papers from Guoqing Jin's perspective

Ordered by how strongly the researchers Guoqing Jin 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• APE-GAN: Adversarial Perturbation Elimination with GAN (2017) — 245 citations