Li-Fang Cheng

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #29,910 of 35,345 by trust here, #16,471 by citations
• Epidemiology — 16 citations into it; #796 of 2,148 by trust here, #1,182 by citations
• Biomedical Engineering — 12 citations into it
• Surgery — 9 citations into it; #619 of 1,106 by trust here, #1,067 by citations

Whom Li-Fang Cheng trusts overall

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

1. Marzyeh Ghassemi
2. Peter F. Schulam
3. Matthew D. Zeiler
4. Bernard Walter Silverman
5. Rainer Dahlhaus
6. Geoffrey E. Hinton
7. Nicholas G. Polson
8. Mauricio A Álvarez
9. David E. Rumelhart
10. Oliver Stegle

Who trusts Li-Fang Cheng overall

1. Chao Yu
2. Peter F. Schulam
3. Jiming Liu
4. Pablo Moreno-Muñoz
5. Edward De Brouwer
6. Suchi Saria
7. Shamim Nemati
8. Chaochao Lu
9. Luchen Li
10. Sergey Levine

Papers from Li-Fang Cheng's perspective

Ordered by how strongly the researchers Li-Fang Cheng trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units (2017) — 196 citations
• An Optimal Policy for Patient Laboratory Tests in Intensive Care Units (2018) — 32 citations
• Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction (2017) — 36 citations