Duzhen Zhang

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 197 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 115 citations into it
• Artificial Intelligence — 113 citations into it
• Natural Language Processing — 32 citations into it
• Model Architectures — 13 citations into it
• Experimental and Cognitive Psychology — 7 citations into it

Whom Duzhen Zhang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Alex Krizhevsky
6. Ilya Sutskever
7. Soujanya Poria
8. Jimmy Ba
9. Yann LeCun
10. Richard Socher

Papers from Duzhen Zhang's perspective

Ordered by how strongly the researchers Duzhen Zhang 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• VLP: A Survey on Vision-language Pre-training (2022) — 352 citations
• Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer (2020) — 53 citations