Wei Zeng

Computer Vision and Pattern Recognition · with Wang · 2016–2021

A researcher in the Science corpus: 2 papers; trusts 139 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it
• Artificial Intelligence — 53 citations into it
• Model Architectures — 21 citations into it
• Optimization & Training — 10 citations into it

Whom Wei Zeng trusts overall

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

1. Alec Radford
2. Yiming Cui
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Karen Simonyan
7. Diederik P. Kingma
8. Kaiming He
9. Ilya Sutskever
10. Christian Szegedy

Who trusts Wei Zeng overall

1. Katikapalli Subramanyam Kalyan

Papers from Wei Zeng's perspective

Ordered by how strongly the researchers Wei Zeng 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation (2021) — 243 citations
• Learning Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network (2016) — 65 citations