Peng Zhang

Computer Vision and Pattern Recognition · with Ren · 2011

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it; #14,274 of 21,575 by trust here, #21,103 by citations
• Computational Theory and Mathematics — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Peng Zhang trusts overall

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

1. Lawrence K. Saul
2. Sam T. Roweis
3. Josh Tenenbaum
4. Stéphane Lafon
5. Vin de Silva
6. David L. Donoho
7. Mikhail Belkin
8. Kilian Q. Weinberger
9. Matthew A. Turk
10. Hongyuan Zha

Who trusts Peng Zhang overall

1. Timothée Lesort
2. Natalia Díaz Rodríguez
3. Jean-François Goudou

Papers from Peng Zhang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• A new embedding quality assessment method for manifold learning (2011) — 33 citations