Jinhui Yan

Mechanical Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Mechanical Engineering — 16 citations into it
• Computational Mechanics — 14 citations into it
• Automotive Engineering — 12 citations into it
• Artificial Intelligence — 11 citations into it
• Statistical and Nonlinear Physics — 10 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• AI for Physical Sciences — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Jinhui Yan trusts overall

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

1. Radford M. Neal
2. Andrew L. Maas
3. Kenji Takizawa
4. Maizar Raissi
5. Alexander Gerhard Schwing
6. Jiawei Han
7. T. Mukherjee
8. Tomas Mikolov

Papers from Jinhui Yan's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Caffe: Convolutional Architecture for Fast Feature Embedding
7. Recurrent neural network based language model
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Pattern Recognition and Machine Learning

Their papers

• Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks (2020) — 434 citations