Hao Chen

Artificial Intelligence · with Jiang · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it

Whom Hao Chen trusts overall

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

1. David W. Lu
2. Ramsey Faragher
3. Kaiming He
4. David Silver
5. Timothy P. Lillicrap
6. Geoffrey E. Hinton
7. Richard S. Sutton
8. Shixiang Shane Gu
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Hao Chen overall

1. Ben M. Hambly

Papers from Hao Chen's perspective

Ordered by how strongly the researchers Hao Chen 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. 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. Human-level control through deep reinforcement learning
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Adversarial Deep Reinforcement Learning in Portfolio Management (2018) — 162 citations