Lu Cheng

Artificial Intelligence · with Guo · 2018

A researcher in the Science corpus: 2 papers; trusts 66 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 94 citations into it
• Causal Inference & Discovery — 79 citations into it
• Statistics and Probability — 69 citations into it
• Probabilistic & Bayesian Methods — 21 citations into it
• Signal Processing — 13 citations into it
• Management Science and Operations Research — 11 citations into it
• Molecular Biology — 11 citations into it
• Computer Networks and Communications — 10 citations into it

Whom Lu Cheng trusts overall

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

1. Judea Pearl
2. Donald B. Rubin
3. Jan Peters
4. Peter Spirtes
5. Aapo Hyvärinen
6. Geoffrey E. Hinton
7. Bernhard Schölkopf
8. Guido W. Imbens
9. Dominik Janzing
10. Robert Tibshirani

Who trusts Lu Cheng overall

1. Bernhard Schölkopf

Papers from Lu Cheng's perspective

Ordered by how strongly the researchers Lu 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. GENERATIVE ADVERSARIAL NETS
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Survey of Learning Causality with Data (2018) — 184 citations
• A Survey of Learning Causality with Data: Problems and Methods (2018) — 335 citations