Ning Qian

Nature · 1999–2001

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 222 researchers here, as inferred from the citation graph.

Whom Ning Qian trusts overall

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

1. Yann LeCun
2. Jonathan Baxter
3. Robert A. Jacobs
4. John S. Denker
5. David E. Rumelhart
6. Sara A. Solla
7. Geoffrey E. Hinton
8. Terrence J. Sejnowski

Who trusts Ning Qian overall

1. S. Murray
2. Zhouyuan Huo
3. Hanwang Zhang
4. Tim Dettmers
5. Yann Dauphin
6. Da-Cheng Juan
7. Tal Ben-Nun
8. Yanai Elazar
9. Tong Yu
10. G. Santhanam

Papers from Ning Qian's perspective

Ordered by how strongly the researchers Ning Qian 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Practising orientation identification improves orientation coding in V1 neurons (2001) — 886 citations
• On the momentum term in gradient descent learning algorithms (1999)