Peng Zhao

Artificial Intelligence · with Zhou · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Statistical Learning Theory — 9 citations into it
• Management Science and Operations Research — 9 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Information Systems — 6 citations into it

Whom Peng Zhao trusts overall

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

1. Zhi-Hua Zhou
2. Simon S. Haykin
3. Mehryar Mohri
4. Corinna Cortes
5. J. Kolter
6. Ryan Elwell
7. Thomas G. Dietterich
8. Shai Ben-David
9. Nicolò Cesa-Bianchi
10. Christopher K. I. Williams

Who trusts Peng Zhao overall

1. Namhoon Cho
2. Youngjae Min
3. Jingwen Ye

Papers from Peng Zhao's perspective

Ordered by how strongly the researchers Peng Zhao 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. Long Short-Term Memory
6. GENERATIVE ADVERSARIAL NETS
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Learning with Feature and Distribution Evolvable Streams (2020) — 49 citations
• Storage Fit Learning with Feature Evolvable Streams (2020) — 29 citations
• Distribution-Free One-Pass Learning (2017) — 35 citations