Anbu Huang

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Federated & Distributed Learning — 10 citations into it

Whom Anbu Huang trusts overall

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

1. Cynthia Dwork
2. H. Brendan McMahan
3. Joseph Redmon
4. Ross B. Girshick
5. Yang Liu
6. Kaiming He
7. Shaoqing Ren
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Ali Farhadi

Who trusts Anbu Huang overall

1. Qinbin Li

Papers from Anbu Huang's perspective

Ordered by how strongly the researchers Anbu Huang 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• FedVision: An Online Visual Object Detection Platform Powered by Federated Learning (2020) — 352 citations
• Real-World Image Datasets for Federated Learning (2019) — 111 citations