Chen Tang

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it
• Reinforcement Learning — 38 citations into it
• Control and Systems Engineering — 33 citations into it
• Biomedical Engineering — 19 citations into it

Whom Chen Tang trusts overall

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

1. Sergey Levine
2. Pieter Abbeel
3. Geoffrey E. Hinton
4. Jemin Hwangbo
5. Diederik P. Kingma
6. John Schulman
7. Alex Krizhevsky
8. Yoshua Bengio
9. Richard S. Sutton
10. Kaiming He

Papers from Chen Tang's perspective

Ordered by how strongly the researchers Chen Tang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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. Et al

Their papers

• Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes (2024) — 389 citations