Yiming Ying

Artificial Intelligence · with Yang · 2022

A researcher in the Science corpus: 1 paper; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Optimization & Training — 20 citations into it
• Computational Mechanics — 11 citations into it
• Management Science and Operations Research — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Statistics and Probability — 8 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Computer Networks and Communications — 6 citations into it

Whom Yiming Ying trusts overall

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

1. Diederik P. Kingma
2. Robert E. Schapire
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Thorsten Joachims
6. Alex Krizhevsky
7. Yoav Freund
8. Yurii E. Nesterov
9. Cynthia Rudin
10. Yoshua Bengio

Papers from Yiming Ying's perspective

Ordered by how strongly the researchers Yiming Ying 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. 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. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
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

• AUC Maximization in the Era of Big Data and AI: A Survey (2022) — 315 citations