Wenhao Li

Artificial Intelligence · with Jin · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Reinforcement Learning — 31 citations into it

Whom Wenhao Li trusts overall

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

1. Ronald J. Williams
2. John Schulman
3. G. Tesauro
4. Richard S. Sutton
5. Sergey Levine
6. Sham M. Kakade
7. Pieter Abbeel
8. Geoffrey E. Hinton
9. Diederik P. Kingma
10. Yoshua Bengio

Papers from Wenhao Li's perspective

Ordered by how strongly the researchers Wenhao Li 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Dealing with Non-Stationarity in MARL via Trust-Region Decomposition (2021) — 15 citations