Kaiyu Guan

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it

Whom Kaiyu Guan trusts overall

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

1. J. Urgen Schmidhuber

Papers from Kaiyu Guan's perspective

Ordered by how strongly the researchers Kaiyu Guan trusts endorse each paper. Same corpus, a different order for every researcher.

1. A unified architecture for natural language processing: deep neural networks with multitask learning
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Deep learning in neural networks: An overview
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Toward building a transparent statistical model for improving crop yield prediction: Modeling rainfed corn in the U.S (2019) — 115 citations
• A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach (2018) — 463 citations
• Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches (2018) — 501 citations
• Interactions between urban heat islands and heat waves (2018) — 415 citations