Yi-Feng Zhang

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Reinforcement Learning — 18 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yi-Feng Zhang trusts overall

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

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

Papers from Yi-Feng Zhang's perspective

Ordered by how strongly the researchers Yi-Feng Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
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. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
10. Reinforcement Learning: An Introduction

Their papers

• Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy (2022) — 45 citations