Minjing Dong

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it
• Safety, Robustness & Interpretability — 32 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Model Architectures — 9 citations into it
• Optimization & Training — 6 citations into it
• Molecular Biology — 5 citations into it
• Signal Processing — 5 citations into it

Whom Minjing Dong trusts overall

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

1. Ian J. Goodfellow
2. Kaiming He
3. Christian Szegedy
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Nicolas Papernot
7. Karen Simonyan
8. Yoshua Bengio
9. Ilya Sutskever
10. Alexey Kurakin

Papers from Minjing Dong's perspective

Ordered by how strongly the researchers Minjing Dong 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Adversarially Robust Neural Architectures (2020) — 55 citations