Zhehui Huang

Reinforcement Learning · 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

• Reinforcement Learning — 27 citations into it
• Artificial Intelligence — 24 citations into it

Whom Zhehui Huang trusts overall

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

1. Sepp Hochreiter
2. Alexey Dosovitskiy
3. Geoffrey E. Hinton
4. John Schulman
5. Diederik P. Kingma
6. J. Urgen Schmidhuber
7. Volodymyr Mnih
8. Richard S. Sutton
9. Yoshua Bengio
10. Matteo Hessel

Who trusts Zhehui Huang overall

1. Steven Dalton

Papers from Zhehui Huang's perspective

Ordered by how strongly the researchers Zhehui 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Asynchronous Methods for Deep Reinforcement Learning
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning (2020) — 137 citations