Keli Huang

2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Keli Huang trusts overall

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

1. Tom Minka
2. Claude E. Shannon
3. Kaiming He

Who trusts Keli Huang overall

1. Qinbin Li
2. Tian Li
3. Zaixi Zhang
4. Muhammad Shayan
5. Yunfei Liu

Papers from Keli Huang's perspective

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

Their papers

• DBA: Distributed Backdoor Attacks against Federated Learning (2020) — 947 citations