Yuan Hu

Computer Vision and Pattern Recognition · Environmental Pollution · 2016–2023

A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 30 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Yuan Hu trusts overall

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

1. Yann LeCun
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Kaiming He
6. Diederik P. Kingma
7. Ilya Sutskever
8. L. Eon Bottou
9. Marc'Aurelio Ranzato
10. Sepp Hochreiter

Who trusts Yuan Hu overall

1. Kartik Kuckreja

Papers from Yuan Hu's perspective

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

Their papers

• RSGPT: A Remote Sensing Vision Language Model and Benchmark (2023) — 325 citations
• A novel spatiotemporal convolutional long short-term neural network for air pollution prediction. (2019) — 386 citations
• Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation. (2017) — 578 citations
• Deep learning architecture for air quality predictions (2016) — 317 citations