Jiafan He

Artificial Intelligence · 2021

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 — 21 citations into it
• Reinforcement Learning — 11 citations into it

Whom Jiafan He trusts overall

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

1. Lin F. Yang
2. Alekh Agarwal
3. Mengdi Wang
4. Satinder Singh
5. Peter L. Bartlett
6. Richard S. Sutton
7. Sham M. Kakade
8. Peter Auer
9. Nan Jiang
10. Volodymyr Mnih

Papers from Jiafan He's perspective

Ordered by how strongly the researchers Jiafan He 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. Gradient-based learning applied to document recognition
4. Playing Atari with Deep Reinforcement Learning (arXiv.org)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Reinforcement Learning: An Introduction
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RL (2021) — 13 citations