Feiyun Cui

ACS Sensors · 2020

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

Whom Feiyun Cui trusts overall

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

1. Eric R. Ziegel
2. Curriculum Vitae
3. Jongpil Lee
4. Taiwo Oladipupo Ayodele

Papers from Feiyun Cui's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning
3. Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms
4. Prediction
5. Types of Machine Learning Algorithms
6. Chemometrics: Statistics and Computer Application in Analytical Chemistry (Technometrics)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Advancing Biosensors with Machine Learning. (2020) — 573 citations