Yan Zhou

Artificial Intelligence · with Kantarcioglu · 2008–2018

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #24,568 of 35,345 by trust here, #31,361 by citations
• Privacy & Security — 13 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Information Systems — 8 citations into it; #3,409 of 8,771 by trust here, #5,501 by citations
• Statistical Learning Theory — 7 citations into it
• Statistics and Probability — 6 citations into it

Whom Yan Zhou trusts overall

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

1. Daniel Lowd
2. Cynthia Dwork
3. Sally A. Goldman
4. Tom Fawcett
5. Geoffrey E. Hinton
6. Alexandre B. Tsybakov
7. Alex Krizhevsky
8. Christopher Meek
9. Oded Maron
10. Jun Wang

Who trusts Yan Zhou overall

1. Zhi-Hua Zhou
2. Jacob Steinhardt
3. Battista Biggio
4. Pang Wei Koh
5. Giorgio Fumera
6. Percy Liang
7. Fabio Roli

Papers from Yan Zhou's perspective

Ordered by how strongly the researchers Yan Zhou 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Modeling Adversarial Learning as Nested Stackelberg Games (2016) — 26 citations
• Privacy Preserving Synthetic Data Release Using Deep Learning (2018) — 170 citations
• A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters (2008) — 75 citations