Haonan Wang

Artificial Intelligence · with Zhang · 2020

A researcher in the Science corpus: 1 paper; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 89 citations into it
• Reinforcement Learning — 84 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Control and Systems Engineering — 20 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Robotics & Control — 5 citations into it

Whom Haonan Wang trusts overall

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

1. Sergey Levine
2. Richard S. Sutton
3. Pieter Abbeel
4. Chelsea Finn
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Yoshua Bengio
9. Ilya Sutskever
10. Ronald J. Williams

Papers from Haonan Wang's perspective

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

• Deep reinforcement learning: a survey (2020) — 780 citations