Hao Wang

Artificial Intelligence · with Kaplan · 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.

Subfields

• Artificial Intelligence — 16 citations into it
• Efficiency & Compression — 5 citations into it

Whom Hao Wang trusts overall

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

1. Ozan Sener
2. H. Brendan McMahan
3. Hado van Hasselt
4. Mehryar Mohri
5. Richard S. Sutton
6. Volodymyr Mnih
7. Yue Zhao
8. David Silver
9. Silvio Savarese
10. Geoffrey E. Hinton

Who trusts Hao Wang overall

1. Mang Ye
2. Xuemin Shen
3. Jianqing Zhang
4. Xiuwen Fang

Papers from Hao Wang's perspective

Ordered by how strongly the researchers Hao Wang 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Optimizing Federated Learning on Non-IID Data with Reinforcement Learning (2020) — 1,034 citations