Zhanpeng He

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #15,101 of 35,345 by trust here, #7,310 by citations
• Reinforcement Learning — 29 citations into it; #1,246 of 2,242 by trust here, #681 by citations
• Computer Vision and Pattern Recognition — 17 citations into it

Whom Zhanpeng He trusts overall

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

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

Who trusts Zhanpeng He overall

1. Tianhe Yu
2. Chelsea Finn
3. Annie Xie
4. Nicklas Hansen
5. Aviral Kumar
6. Suraj Nair
7. Jorge Armando Mendez Mendez
8. Rafael Rafailov
9. Sergey Levine

Papers from Zhanpeng He's perspective

Ordered by how strongly the researchers Zhanpeng 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. 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. Et al
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet: A large-scale hierarchical image database
10. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Their papers

• Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning (2019) — 1,715 citations