Wenke Huang

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 169 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 67 citations into it
• Computer Vision and Pattern Recognition — 35 citations into it
• Representation & Self-Supervised Learning — 19 citations into it
• Federated & Distributed Learning — 13 citations into it
• Optimization & Training — 10 citations into it
• Efficiency & Compression — 9 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Wenke Huang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Yann LeCun
6. Yoshua Bengio
7. Christian Szegedy
8. Ross B. Girshick
9. Ilya Sutskever
10. Jimmy Ba

Who trusts Wenke Huang overall

1. Mang Ye
2. Xiuwen Fang

Papers from Wenke Huang's perspective

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

Their papers

• Learn from Others and Be Yourself in Heterogeneous Federated Learning (2022) — 325 citations