Ke Zhang

Artificial Intelligence · with Sun · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Graph Learning — 14 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Safety, Robustness & Interpretability — 7 citations into it
• Generative Models — 5 citations into it

Whom Ke Zhang trusts overall

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

1. Ross B. Girshick
2. William L. Hamilton
3. Prithviraj Sen
4. Peter L. Bartlett
5. Geoffrey E. Hinton
6. Lichao Sun
7. Alex Krizhevsky
8. Yoshua Bengio
9. Diederik P. Kingma
10. Carl Yang

Papers from Ke Zhang's perspective

Ordered by how strongly the researchers Ke Zhang 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Secure Deep Graph Generation with Link Differential Privacy (2020) — 52 citations
• Subgraph Federated Learning with Missing Neighbor Generation (2021) — 297 citations